| 2025 | (In)adequate Data Protection and Algorithmic Predictive Analysis: An Unresolved Battle. Amanda M. Horzyk |
| 2025 | (Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification. Luca Bergamin, Roberto Confalonieri, Fabio Aiolli |
| 2025 | 2025: A GPT Odyssey. Deconstructing Intelligence by Gradual Dissolution of a Transformer. Enrico De Santis, Alessio Martino, Edoardo Bruno, Antonello Rizzi |
| 2025 | 3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image. Hao Wang, Wenhao Shen, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao |
| 2025 | 3D Joint-Aware Features in GRU-based Kinematic Chain for Human Mesh Recovery. Jingchen Zhang, Yang Hua, Wenjie Zhang, Xiaoning Song |
| 2025 | 3D Molecule Generation within Topology-aware Latent Space. Xiang Chen, Jianwei Zheng, Zhao Li, Xiaoqin Zhang |
| 2025 | 3D Morphable Face Model with Continuous Semantics. Han Zhang, Yao Yu, Yu Zhou |
| 2025 | 3D-DPANet: A Novel Direction-Perception Attention Network Integrating Tumor Microenvironment and Shape Features for 1p/19q Co-Deletion Prediction in Brain Gliomas. Junshan Chen, Fumin Cheng, Shaoguo Cui |
| 2025 | 3D-Telepathy: Reconstructing 3D Objects from EEG Signals. Yuxiang Ge, Jionghao Cheng, Ruiquan Ge, Zhaojie Fang, Gangyong Jia, Xiang Wan, Nannan Li, Ahmed Elazab, Changmiao Wang |
| 2025 | 3DS-SLAM: Dynamic RGB-D Visual SLAM Integrating Deep Front-End and YOLOv7-Based Semantic Information. Yulong Qin, Xin Wang, Huijun Yang |
| 2025 | 4S-Classifier: Empowering Conservation through Semi-Supervised Learning for Rare and Endangered Species. Hongyang He, Hongyang Xie, Guodong Shen, Boyang Fu, Haochen You, Victor Sanchez |
| 2025 | A Bag-Instance Network for Dysarthria Detection. Junhong Liu |
| 2025 | A Bidirectional Gated Recurrent Unit Model for PUE Prediction in Data Centers. Dhivya Dharshini Kannan, Anupam Trivedi, Dipti Srinivasan |
| 2025 | A Bidirectional Selective State Space Model with Multi-scale Convolution and Additive Gated Attention for Cross-Subject Emotion Recognition. Zhelong Chen, Yuchen Wu, Wenqian Zhang, Guanglin Zhang |
| 2025 | A Bidirectional Selective State Space Model with Multi-scale Convolution and Additive Gated Attention for Cross-Subject Emotion Recognition. Zhelong Chen, Yuchen Wu, Wenqian Zhang, Guanglin Zhang |
| 2025 | A Bilevel Optimization Framework for Dynamically Correcting Imbalance in Two-class Classification Problems. Karen Medlin, Sven Leyffer, Krishnan Raghavan |
| 2025 | A Cardinality Estimation Model Based on Orthogonal Matching Pursuit and Sparse Attention Mechanism. Yutong Han, Zhengxuan Yang, Jianxin Zhang |
| 2025 | A Chinese Document-Level Event Causality Extraction Method Based on Auto-Cot. Guangshuai Ding, Liu Shuang |
| 2025 | A Clustering-based Sample Selection Method for Improving Replay Buffer Quality in Continual Self-Supervised Learning. Naoki Masuyama, Ryosuke Fujii, Takato Kinoshita, Yusuke Nojima |
| 2025 | A Collaborative NDN Caching with Multi-Agent Deep Reinforcement Learning and Blockchain Incentives. Christian Nii Aflah Cobblah, Qi Xia, Jianbin Gao |
| 2025 | A Combined Frequency-Domain Filtering and Multi-Scale Spatial Feature Communication Based Network for Hyperspectral Image Classification. Shanjiao Jiang, Yi Liu, Caihong Mu, Xinyu He |
| 2025 | A Comparative Analysis of Artificial Intelligence Methods for Breast Cancer Interpretation. Ijaz Ahmad, Alessia Amelio, Farman Ali, Arcangelo Merla, Francesca Scozzari, Nadeem Ahmad |
| 2025 | A Comparative Analysis of Models for Real-Time Personal Protective Equipment Detection on Edge Devices. Giustino Claudio Miglionico, Francesco di Rienzo, Pietro Ducange, Francesco Marcelloni, Carlo Vallati |
| 2025 | A Comparative Study of Graph-Based Learning Methods for Multivariate Time-Series Anomaly Detection in Cloud Microservice Applications. Ming Yu, Kevin O'Shea, Yihan Li, Sen Yan, Mingming Liu |
| 2025 | A Comparative Study of Quaternion-Based Fusion Filtering Under Two Packet Dropout Models with Properness Conditions. Felicidad Gutiérrez-Trujillo, José D. Jiménez-López, Rosa M. Fernández-Alcalá, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina |
| 2025 | A Cross-Domain Neural-based Method to Emotional-Aesthetic Evaluation: From Chinese Painting to Character. Qirong Zhao, Min Xiong, Guoqing Chen, Yonglong Peng |
| 2025 | A Deep Learning Approach to Shell and Tube Heat Exchangers Customization. Davide Rigoni, Matteo Mirafiori, Andrea Padovan, Giuseppe Censi, Alessandro Sperduti |
| 2025 | A Deep Learning-Based Intrusion Detection System for Safeguarding ROS 2-Powered Unmanned Ground Vehicles Against DoS Attacks. Eduardo Fraga Da Silva, Fendy Santoso, Lihong Zheng |
| 2025 | A Deep Reinforcement Learning Agent for Sound-Based Fighting Games. Yan Zhuang, Daniele Loiacono, Pier Luca Lanzi |
| 2025 | A Deep Reservoir Computing Architecture for Dynamic Generative Modeling. Wei Zhang, Yuan-Hung Kuan, Su-Hsin Chang, Jr-Shin Li |
| 2025 | A Dental Periapical X-ray Images Segmentation Network Based on Pixel-Wise Contrastive Learning with Dual Attention Mechanisms. Yanan Du, Zhi Zeng, Yibin Tian, Zhiyuan Zhang, Xueyang Zhang, Shan LianLei |
| 2025 | A Domain-Adaptive Framework for Constructing Eventic Graphs. Haibo Liu, Shengze Wang, Jing Shen |
| 2025 | A Domain-adversarial and Multi-scale Contrastive Method for Few-Shot Graph Node Classification. Zhiqiang Wang, Jiaxin Zhang, Feng Wang |
| 2025 | A Dual Quaternion Embedding Method of Link Prediction based on Orthogonalization and Rotation. Xinyu Mao, Ming Sun, Jinchuan Zhang, Kui Wu |
| 2025 | A Dual-Encoder framework for Enhancing Driving Behavior and Mission Profiling Characterization. Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli |
| 2025 | A Dual-path Spatial-Temporal Separation Framework for 3D Human Pose Estimation. Yiran Liu, Ruirui Li, Yuandong Hu |
| 2025 | A Dynamic Co-Inference Framework for Edge-End Using Discrete Soft Actor-Critic and SLA-Aware Task Batching. Jiaao Sun, Hao Hao, Huiling Shi, Zheng Su, Hanglun Li, Wei Zhang |
| 2025 | A Few-Shot Learning Approach for Sim2Real Martian Imagery Classification. Hicham Bouchana, Alessandro Campolo, Cosimo Ieracitano, Nadia Mammone, Gabriele Berardi, Piergiorgio Lanza, Francesco Carlo Morabito |
| 2025 | A Fine-tuned Approach to Code Summarization Generation Based on Keyword Augmentation and Contrastive Learning. Huan Wang, Shenggen Ju, Yujie Wan, Rongmei Zhao, Junlin Ren |
| 2025 | A General Closed-loop Predictive Coding Framework for Auditory Working Memory. Zhongju Yuan, Geraint A. Wiggins, Dick Botteldooren |
| 2025 | A Geometric Constraints based Bayesian Neural Network for Virtual Surgery Assessment. He Yuan, Fan Dong, Weiwei Dai, Danmin Cao, Min Hu, Yang Gu |
| 2025 | A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation. Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang |
| 2025 | A Heterogeneous Graph and Multi-Feature Fusion Based Framework for Smart Contract Vulnerability Detection. Bing Xue, Jun Zhang, Zhongwei An, Zhaoxiong Song, Linpeng Jia, Zhi Yu |
| 2025 | A Hidden Backdoor Attack via Formal Text Style Transfer in Language Models. Zihan Wang, Hongwei Li, Wenbo Jiang, Rui Zhang, Jiaming He, Hanxiao Chen, Guowen Xu |
| 2025 | A High-Quality Sample Generation Method via Cross-Scale Diffusion for Steel Defect Detection. Ziyang Zhu, Feng Wang |
| 2025 | A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection. Yiye Wang, Wenming Zheng, Yang Li, Hao Yang |
| 2025 | A Hybrid Model of Bidirectional GRU and Graph Neural Network for Multivariate Temporal Data Interpolation. Hongtao Song, Siao Li, Qilong Han |
| 2025 | A Hybrid Neural Approach to Speaker Verification with an Improved Additive Angular Margin Loss. Jahangir Alam, Abderrahim Fathan, Md Shahidul Alam |
| 2025 | A Hybrid Supervised Deep Learning Approach for Non-intrusive Load Monitoring. Yanru Ren, Bo Liu, Wenpeng Luan, Bochao Zhao, Wenqian Jiang |
| 2025 | A Hybrid Traffic Flow Prediction Model Incorporating Spatio-Temporal Features. Xiangfu Meng, Zilun Zhang, Weipeng Xie, Jiangyan Cui |
| 2025 | A KAN-SHAP Framework for Fault Detection and Analysis in Smart Grids. Enrico De Santis, Gianluca Ferro, Antonello Rizzi |
| 2025 | A Lightweight AI-Based Solution for Rain Detection and Vehicle Wiper Control Using Autonomous Driving Cameras. Xiangwei Cheng, Pankhuri Verma, Dirk Slama, Jens F. Lachenmaier |
| 2025 | A Lightweight Architecture for Predicting Neutronic Parameters via Neural Architecture Search. Minxiao Zhong, Jingrong Xie, Qing Li, Yanan Sun |
| 2025 | A Lightweight Model for Ancient Chinese Character Image Retrieval Based on Channel Optimization and Global Modeling. Jiawang Song |
| 2025 | A Lightweight Vision-Based Deep Learning Model for Fall Detection. Xuebin Zhang, Fuyuan Feng, Yan Feng, Zhangcheng Yang, Fan Zhang, Longting Xu |
| 2025 | A Local Structure-based Convolutional Neural Network and Its Application to Fault Diagnosis. Ruisheng Ran, Weizhe Ding, Jinping Wang, Bin Fang |
| 2025 | A Local-to-Global Graph Neural Network for Major Depressive Disorder Classification from rs-fMRI. Leoni-Stavroula Christakou, Tiziana Currieri, Francesco Prinzi, Salvatore Vitabile |
| 2025 | A Low-Noise Web Content Extraction Framework for LLM Data Pipelines: Integrating XGBoost Classification and Reverse Coloring. Bin Wang, Ziyan Zhang, Lexi Chen, Hui Li |
| 2025 | A Meta-learning-based Method for Dynamic Selection of Combination Methods in Classifier Ensembles. Jesaías Carvalho Pereira Silva, Anne Magály de Paula Canuto, Araken de Medeiros Santos |
| 2025 | A Method for Explainable Medical Abstracts Classification through Transformer Models. Luca Petrillo, Anna Giacomello, Fabio Martinelli, Antonella Santone, Mario Cesarelli, Francesco Mercaldo |
| 2025 | A Model-Based Federated Semi-Supervised Learning. Binbin Wen, Yan Hu, Ahmad Chaddad |
| 2025 | A Multi-Person Motion Prediction Method Based on Multi-Angle Coding of Joint-Relation for Intangible Cultural Heritage Dance Videos. Xingquan Cai, Xiaoyu Wang, Kaijie Qu, Mengrui Dai, Ying Li |
| 2025 | A Multi-Scale and Dual-Attention Enhanced TimesNet Model for Electricity Price Forecasting. Yiming Jiang, Ying Jiang |
| 2025 | A Multi-Task Learning Framework for Multi-View Predictive Business Process Monitoring. Chenying Zhao, Xiaoxiao Sun, Dongjin Yu, Shicong Han, Yi Xu |
| 2025 | A Multi-level and Multi-scale Context Refinement Network for Video-based Depression Recognition. Jingyi Liu, Yuanyuan Shang, Mengyuan Yang, Jiaxi Lu, Zhuhong Shao, Hui Ding, Tie Liu |
| 2025 | A Multimodal LLM for Chart Understanding and Generation. Yucheng Han, Chi Zhang, Xin Chen, Fukun Yin, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, Hanwang Zhang |
| 2025 | A Neural Network Approach to Image-Based Navigation and Localization. Daniel L. Short, Tingjun Lei, Lantao Liu, Chaomin Luo, Erfu Yang |
| 2025 | A Neural Network-Based Pipeline Parallel Strategy Solver for Heterogeneous Environments. Jie Ou, Jinyu Guo, Yueming Chen, Shuaihong Jiang, Ruini Xue, Wenhong Tian |
| 2025 | A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory. Laxmi R. Iyer, Ali A. Minai |
| 2025 | A Novel Anchor-Based Supervised Learning Framework for Solving Traveling Salesman Problem. Zebin Huang, Huayi Yin |
| 2025 | A Novel Computing Paradigm for MobileNetV3 using Memristor. Jiale Li, Zhihang Liu, Sean Longyu Ma, Chiu-Wing Sham, Chong Fu |
| 2025 | A Novel Continuous Peephole LSTM with Neural Controlled Differential Equations for Timely Financial Risk Prediction. Xu Han, Yuxin Mei, Jing Liu, Zhongming Han, Li Han |
| 2025 | A Novel Contrastive Signal Generative Framework for Accurate Graph Learning. Xiaofan Wei, Binyan Zhang, Ye Yuan |
| 2025 | A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks. Muhammad Shahbaz Khan, Ahmed Al-Dubai, Jawad Ahmad, Nikolaos Pitropakis, Baraq Ghaleb |
| 2025 | A Novel Forgetting Mitigation Approach for YOLOv7-Enabled Incremental Object Detection. Qing Wang, Fang Liu, Jiawei Yue, Qin Dai, Xiangbin Shi |
| 2025 | A Novel Framework for Inverse Problems: Fixed-Point Iteration Using Consistency Models. Xinke Wang, Guitao Cao, Hailing Wang |
| 2025 | A Novel Graph Representation of Spectrograms: A Comparative Study of GNN-based Respiratory Sound Classification Methods. Zhenyu Zhao |
| 2025 | A Novel Multi-Directional and Multi-Scenario Radar-Based Human Activity Recognition System. Lun Ma, Yue Yang, Zongyi Zhang, Ruyu Ma, Yanqi Zhao, Yuhuan Niu |
| 2025 | A Novel Multidisciplinary Graduate Education Program in Data Science. Anthony Kuh, Daniel Port, Narayana Prasad Santhanam, London Thompson, Mary Lee |
| 2025 | A Novel Secure Federated Learning Framework for Decentralized Data Processing in IoT Edge Cloud Networks. Qurat-Ul-Ain Mastoi, Abdullah Lakhan, Nada Alasbali |
| 2025 | A Physical Attack for Segmentation-Based Visual Foundation Models. Mengqi He, Jinhong Ni, Zhaoyuan Yang, Yiwei Fu, John Karigiannis, Jing Zhang |
| 2025 | A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction. Jinming Luo, Hailin Wang |
| 2025 | A Point Cloud Classification Model Based on Dynamic Graph Attention Convolution and Multi-Feature Fusion. Yuanqing Feng, Xiangbin Shi, Jingjing Zhang |
| 2025 | A Prediction-Sampling-Based Latent Factorization of Tensors Model for Learning Accurate Representation to Academic Network. Chunyang Zhang, Xin Liao, Hao Wu |
| 2025 | A Q-Learning Inspired Context-Aware Dynamic Resource Matchmaking Scheme for Critical Electric Vehicle Infrastructure. Angela An, Frank Jiang, Azadeh Ghari Neiat, Mohammad Belayet Hossain, William Yeoh, Arkady B. Zaslavsky, Ashim Kumar Debnath |
| 2025 | A Q-Learning-Based Opportunistic Routing Protocol for Energy-Efficient and Secure UASNs. Dixin Wang, Jiahao Wang, Min Li, Jiewei Li, Tianyuan Zhao, Weidong Zhao |
| 2025 | A Quality Control Method for Ocean Data Based on Multi-time Scale Downsampling and Dynamic Threshold Strategy. Yuhui Lu, Wei Song, Qi He, Yanling Du |
| 2025 | A Rationale-Guided Multi-Task Learning Framework for Hate Speech Detection. Qingqing Gao, Jiuxin Cao, Fengshan Song, Biwei Cao, Xin Guan, Bo Liu |
| 2025 | A Real-Time Multi-Task Learning Framework for Ear Recognition and Landmark Localization with Integrated Gradient Architecture. Taiyu Jin, Jian Zhang, Xiaoyan Sun, Zhenming Yuan |
| 2025 | A Real-time Small Object Detection Model for UAV Aerial Images in Renewable Energy and Power Systems. Li Tan, Chen Zhang, Xiaofeng Lian, Zikang Liu, Yibo Li |
| 2025 | A Real-time Vein Puncture Segmentation Framework Based on YOLO and DEVA. Qiubo Huang, Wupeng Zhao, Shiwen Tang, Dehua Chen |
| 2025 | A Reinforcement Learning Approach for Optimal Control in Microgrids. Davide Salaorni, Federico Bianchi, Marcello Restelli, Francesco Trovò |
| 2025 | A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks. Leonardo Kanashiro Felizardo, Edoardo Fadda, Paolo Brandimarte, Emilio Del-Moral-Hernandez, Mariá Cristina Vasconcelos Nascimento |
| 2025 | A Resource-aware Aadaptation Approach for Heterogeneous Federated Learning. Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca |
| 2025 | A Robust Multimodal Model with Context-Rich Prompts for Traffic Light State Detection. Jianzhang Zheng, Yi Lu Murphey, Bruno Giordani, Carol Persad, Amanda Cook Maher |
| 2025 | A Saliency-Guided Residual Network Based on Interactive-Aware Attention for Medical Image Fusion. Haozhe Tang, Lei Yu |
| 2025 | A Second-Order Tensor Network Model for Understanding Time-varying QoS Data. Zhentao Peng, Ke Yu, Yan Fang, Weiling Li |
| 2025 | A Simple and Effective Method for Uncertainty Quantification and OOD Detection. Yaxin Ma, Benjamin Colburn, José C. Príncipe |
| 2025 | A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation. Masato Ishii, Akio Hayakawa, Takashi Shibuya, Yuki Mitsufuji |
| 2025 | A Simplified Synthetic Attention Transformer for Single Image Deraining. Minghui Lu, Qiyu Jin, Jie Yang |
| 2025 | A Spatial-Temporal Interactive Graph Networks Fusion for Traffic Prediction. Xiang Yin, Chengliang Xia |
| 2025 | A Stereo-Wise Masking Strategy for Weakly Supervised Point Cloud Semantic Segmentation. Ziyu Huang, Guoqing Jiang, Xiaorong Zhang, Yundong Wu, Jinhe Su |
| 2025 | A Structure and Semantic Aware Framework for Generalized Medical Image Segmentation via Frequency and Probabilistic Learning. Yuheng Xu, Tianyang Wang, Taiping Zhang |
| 2025 | A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella |
| 2025 | A Study on Road Damage Detection Methods Based on YOLOv11. Yin Chen, Jiong Yu |
| 2025 | A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2025 | A Transformer-Based Hybrid Model for Multi-Indicator Numerical Prediction of Marine Environment. Li Ma, Binbin Duan, Yang Li, Yingxun Fu, Dongchao Ma |
| 2025 | A Unified Multi-Class Anomaly Detection Framework Based on Vision Foundation Models. Yue Zhuo, Wei Xi |
| 2025 | A Unified Multi-Scenario Framework for Schema Matching based on LLM. Qiang Gao, Yunhao Xiao, Yuren Hu, Ruifang Zhao, Baoqi Liu, Zaiwen Feng, Ying Wang, Xiaoxia Li |
| 2025 | A Unified Multimodal Multi-Granularity Pre-Training Framework for Fine-Grained Medical Image Analysis. Zenan Gong, Linchao He, Nan Zhou, Peixi Liao, Hongjie Yang, Zhihong Wu, Hu Chen, Yi Zhang |
| 2025 | A Visual Feature-Based Inverse Reinforcement Learning Approach for Reward Reconstruction from Image Observations. Yanbin Lin, Zhen Ni |
| 2025 | A Weighting Loss Approach for Transformer-Based Object Detection. Matthaios Dimitrios Tzimas, Vasileios Mygdalis, Ioannis Pitas |
| 2025 | A White-Box Knowledge Distillation Approach for Task-Optimized Large Language Model Compression. Subhankar S, Manickam Palaniappan, Anusha Jayasimhan |
| 2025 | A deep Point-Of-Interest recommendation system combining spatial, categorical, and social influence. Chaima Laroussi, Raouia Ayachi |
| 2025 | A graph-based sparse filter feature selection method for multi-class and ordinal data. Mor Abrutzky, Shir Friedman, Gonen Singer, Neta Rabin |
| 2025 | A new lightweight YOLOv8 for vehicle detection. Wei Wei, Yuxiu Liu, Jian Yun, Xiaodong Duan |
| 2025 | A structural model to explain unfairness. Paolo Giudici, Parvati Neelakantan, Simone Pavarana, Thorsten Schmidt |
| 2025 | A weighted converging and radiating feature pyramid network for object detection. Taizhe Tan, Guiming Pan |
| 2025 | A wind power forecasting model based on global and local feature extraction using key meteorological factors. Xuming Yin, Wei Song, Zhaocai Wang, Shuai Shi |
| 2025 | A2CHoldem: An Intelligent Agent for Texas Hold'em Based on Deep Reinforcement Learning. Qilong Guo, Yajie Wang, Shipeng Wang, Tianyu Zhao |
| 2025 | ABRMS-Net: An Attention-Based Residual Multi-Scale CNN for image classification. Pingyue Jia, Yan Hu, Binbin Wen, Xianrui Chen, Ahmad Chaddad |
| 2025 | ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models. Singon Kim, Gunho Jung, Seong-Whan Lee |
| 2025 | AD-MAE: Contrastive Learning and Masked Autoencoder for Early Alzheimer's disease classification. An Zeng, Jiasheng Li, Dan Pan |
| 2025 | ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction. Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang |
| 2025 | ADP: Answer-oriented Distinction Perception for End-to-end Clarification Question Generation. Yuchong Chen, Yifan Fan, Yanling Li, Chuyao Ding, Yu Hong |
| 2025 | ADSeq-Uplift: Attention-based Deep Uplift Modeling for Imbalanced Sequential Outcomes. Shuangxue Zhao |
| 2025 | AENet: An Asymmetric Encoder Network with Feature Selection for Change Detection. Zhentao Xiong, Ming Cheng, Youliang Chu, Wen Jiang, Cheng Wang |
| 2025 | AG-Mask: Augmented 3D Generative Masked Motion Model for Text-to-Motion. Zixin Su, Mengxiao Yin, Fancui Xie, Peihong Wu, Bei Hua, Feng Zhan |
| 2025 | AGDAformer: Agent-Guidance Dual Attention Transformer for Climate-Aware Crop Yield Prediction. Zhongyan Yi, Zhihua Fang, Ruifeng Xu, Jintai Wang, Liang He |
| 2025 | AGNS : Adversarial Attack against Human Trajectory Model Based on Attention-guidance and Node-selection. Xin Guo, Yucheng Shi, Lei Shi, Yufei Gao, Wenwen Li |
| 2025 | AI Governance: Ethics of Trustworthy AI in Healthcare. Ida Skubis |
| 2025 | AI-Driven Detection and Mitigation of Backdoor Data Infiltration Among IoT Networks. Syed Murtoza Mushrul Pasha, Chunxiao Ye, Shahidur Rahoman Sohag, Muhammad Mahin Ali, Md Tanvir Islam |
| 2025 | AI-Enhanced Interactive Storytelling for Cultural Heritage: A Prototype System for Dunhuang Murals. Yejuan Xie, Yuehan Dou, Lijie Yao, Yunzhe Wang, Yushi Li, Chengtao Ji |
| 2025 | AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection. Lorenzo Pellegrini, Davide Cozzolino, Serafino Pandolfini, Davide Maltoni, Matteo Ferrara, Luisa Verdoliva, Marco Prati, Marco Ramilli |
| 2025 | AIMR: An Auction-based Incentive Mechanism for Federated LLM Fine-Tuning. Mengqi Shan, Mingxin Wang, Yulan Yang, Hao Huang |
| 2025 | AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review. Zhiye Xie, Enmei Tu, Xianping Fu, GuoLiang Yuan, Yi Han |
| 2025 | ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs. Xu Baizhou, Zhilin Yang, Niu Xin, Zhaoning Zhang, Huang Zheng, Linbo Qiao, Yafei Qi |
| 2025 | AMDRL: Simulation-Optimized UAV Network Routing in Knowledge-Defined Networking Using Graph Neural Network. Jie Li, Hongjun Ma, Yinrui Yu, Yuhan Zhang, Xingwei Wang |
| 2025 | AMDWA: An Adaptive Multi-Dimensional Weight Adjustment Method for Fake News Detection. Yue Zhu, Lin Shen, Yubin Sheng, Yao Xiao, Zuping Zhang |
| 2025 | AMFCNet: Adaptive Multi-Scale Fourier Contrastive Network for Seismic Signal Classification. Xuefei Xia |
| 2025 | AMHP-SDC: An Adaptive Semantic Meta-Graph and Hypergraph Learning Framework for Predicting Synergistic Drug Combinations. Junjie Chen, Mengjie Chen, Jian Miao, Cunquan Qu |
| 2025 | AMNET: Attention-Base Multiscale Network for Image-Text Matching. Jiabao Hai, Qing Yu, Yutong Gan, Mingshuo Wang, Yuhui Zhou |
| 2025 | AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis. Yubing Cao, Yinfeng Yu, Yongming Li, Liejun Wang |
| 2025 | ARCM: A Representation Classification Method for Tabular Data Based on Graph Embedding Rules. Guohui Ding, Yongqiang Ren, Yueyi Zhu |
| 2025 | ARNet: An Aggregation and Recalibration Network for Small Object Detection in Aerial Imagery. Xin Deng, Zheng Xu, Wenzhu Yang, Hao Li, Tong Zhou |
| 2025 | ASACANet: Edge-Guided Agent Attention and Staged Convolution for Semantic Segmentation. Jiawei Sun |
| 2025 | ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding. Suchanuch Piriyasatit, Chaohao Yuan, Ercan Engin Kuruoglu |
| 2025 | ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP. Chengyun Deng, Shuzhong Lai, Chi Zhou, Mengyi Bao, Jingwen Yan, Haifeng Li, Lin Yao, Yueming Wang |
| 2025 | ASOD-Net: Arbitrary Sampling and Offset-based Detection Network for Remote Sensing Image. Xiwei Liu |
| 2025 | ASP-CLIP: Adaptive and Static Prompts Learning for Zero-shot Anomaly Detection. Buqing Zou, Xiaofeng Qu, Fenghang Zhang, Guang Feng, Xizhan Gao, Sijie Niu |
| 2025 | ASTD-ABC: Arbitrary Shape Text Detection with Adaptive Points and B-Spline Curves. Xiubo Liang, Hong-Zhi Wang, Youwei Dan, Jinxing Han, Bin Zhao, Qifei Zhang |
| 2025 | ASTP-VS:Adaptive Stock Trend Prediction Framework with a Variable Structure Jianning Zhang, Lele Gao, Zhihao Li |
| 2025 | AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition. Haiyu Li, Charith Abhayaratne |
| 2025 | Abnormal Behavior Detection Method in Surveillance Videos Based on a Lightweight Cross-Modal Attention Network. Xingquan Cai, Shanshan He, Jiawei Tang, Jiaming Wang, Ying Li |
| 2025 | Accelerated Dropout: A Bitmask Approach to Speed Up Model Training. Jincheng Xie, Hao Shi, Sicheng Xu, Yan Zhang, Zhenyu Ming, Zhongyi Huang |
| 2025 | Accelerating Grid Search by Pruning. Shigeo Abe |
| 2025 | Accelerating Simulation-Based Inference with Variational Autoencoders. Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh |
| 2025 | Achieving 3D Attention via Triplet Squeeze and Excitation Block. Maan Alhazmi, Abdulrahman Altahhan |
| 2025 | Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset. Felix Burr, Marcel Hoffmann, Ansgar Scherp |
| 2025 | Active Suspension Performance Enhancement Based on Improved DDPG Algorithms. Shuyu Cao, Xiaotian Gao, Guoce Zhang, Shiyuan Han, Yu Du |
| 2025 | Active semi-supervised learning for multi-target regression. Maira Farias Andrade Lira, Luisa Cavalcante, Celine Vens, Ricardo B. C. Prudêncio, Felipe Kenji Nakano |
| 2025 | AdaPT: Adaptive Policy Transfer for Multi-agent Reinforcement Learning with Domain Classifiers. Yuxiang Mai, Qiyue Yin, Wancheng Ni, Kaiqi Huang |
| 2025 | Adapting CNNs for Fisheye Cameras without Retraining. Ryan Griffiths, Donald G. Dansereau |
| 2025 | Adaptive Equilibrium Awareness Learning for Change Caption. Lilin Cai, Guokai Yang, Ningyu Wu |
| 2025 | Adaptive Feature Fusion Network for Camouflaged Object Detection. Xiuhong Li, Kuan Wang, Yulong Bai |
| 2025 | Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data. Jiahao Xiao, Jiangming Liu |
| 2025 | Adaptive Fine-tuning with Language Models in Subject Education Tutoring. Miao Zhang, Hui Chen |
| 2025 | Adaptive Fourier Style Alignment:A New Perspective on Few-Shot Segmentation. Yuxin Xia, Yanjun Yin |
| 2025 | Adaptive GCRA-CNN-LSTM: An Enhanced Model for Stock Price Prediction. Xinpeng Xu, Yukai Du |
| 2025 | Adaptive Gradient Algorithm with Momentum based on Spatiotemporal Second-order Dynamical Model. Shahrzad Mahboubi, Hiroshi Ninomiya |
| 2025 | Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks. Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay |
| 2025 | Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation. Moyu Zhang, Zhe Yang |
| 2025 | Adaptive Multi-Domain Joint Decoding Algorithm for SSVEP Signal Classification. Shuting Jia, Rui Cao |
| 2025 | Adaptive Query Prompting for Multi-Domain Landmark Detection. Yuhui Li, Qiusen Wei, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Jianwen Huang, Jiajie Huang |
| 2025 | Adaptive Semantic Anchoring for Enhanced Generalized Few-Shot Semantic Segmentation. Xinrao Chen, Taiping Zhang, Xinyu Chen, Jiaxuan Li |
| 2025 | Adaptive Sleep Staging via Cross-Modal Feature Interaction and Time-Frequency Analysis. Hao Fu, Delin Zhang, Chuqi Fu, Jiahao Yang, Jiahui Pan |
| 2025 | Adaptive Sparse Graph Convolutional Mamba Network for EEG Emotion Recognition. Haiyue Duan, Zizheng Nie, Shuiyuan Huang, Wenying Duan |
| 2025 | Adaptive Weight Learning with PSO for Filter Pruning in Deep Learning Models. Jihene Tmamna, Rahma Fourati, Hela Ltifi |
| 2025 | Adaptive Weighted Triplet Loss with CBAM Integration for Federated Learning. Mingzhen Wang, Yanjie Tu, Chunhong Yuan, Kaiming Liu, Hao Jin |
| 2025 | Adaptive and Scalable Reinforcement Learning Method for Multi-Site Transportation Optimization. Ashraful Islam, Chuan Li |
| 2025 | Adaptive mask attention dual branch network with multi-modal data for Alzheimer's Disease diagnosis. An Zeng, Zhuxuan Ou, Dan Pan |
| 2025 | Adaptive-Weighted Convolutional Filters: A Depth Discrepancy-Focused Approach to Defocus Estimation. Yan Siwei, Jiangping Zhu, Pei Zhou, Junlin Du |
| 2025 | AdaptiveSleepNet: State-Space Sequence Enhanced Multi-modal Network for Sleep Staging. Zhentao Huang, Congming Tan, Xiaozhuo Bai, Jing Zhang, Guowei Huang, Yin Tian |
| 2025 | AdvLensPolluter: Object-oriented Adversarial Camera Contamination Attack. Feiyang Xu, Shihao Wang, Genghua Kou, Ying Li |
| 2025 | Advancing Fine-Grained Few-Shot Learning via Human-Centric Visual Cognition. Chaofei Qi, Zhitai Liu, Chao Ye, Weiyang Lin, Jianbin Qiu |
| 2025 | Advancing RFI-Detection in Radio Astronomy with Liquid State Machines. Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson |
| 2025 | Advancing Social Governance through AI: A Large Language Model Approach to Government Response Analysis. Jie Teng, Huanglan He, Yiyang Sun, Tongshu Li, Guangwei Hu |
| 2025 | Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu |
| 2025 | Adversarial Contrastive Training in Parameter Space for Improved Text Classification. Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang |
| 2025 | Adversarial Style Interpolation for High-fidelity Stroke-aware Chinese Character Image Synthesis. Jiaxin Li, Chun Ding, Si Wu |
| 2025 | Adversarial-Based Probabilistic Manifold Anomaly Detection Model for Mechanical Fault Diagnosis. Chen Shuang, Zhang Leyi, Tang Xi |
| 2025 | Agent-SwinTF : An Agent-Based 3D Swin Transformer for Multi-Aircraft Trajectory Prediction in Game Scenarios. Fei Gong, Weiyi Ge, Ke Xie, Zhouwei Lou, Kanjian Zhang, Shuo Shan |
| 2025 | Aggregated Distinguishable Feature Learning for Generalized Deepfake Detection. Bosheng Yan, Chenhao Xu, Chang-Tsun Li |
| 2025 | AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams. Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser |
| 2025 | Aligning LiDAR to Vision Language Space: A Fusion Approach for Steering Angle Regression of a Vehicle. Parvez Alam, Shri Vishnu Sathvik, Rajalakshmi Pachamuthu |
| 2025 | Alleviating Directional Bias in Non-Autoregressive Transformers. Songsheng Wang, Yu Wan, Derek F. Wong, Shijie Zhang, Yuchu Lin, Lidia S. Chao |
| 2025 | Always-Sparse Training by Growing Connections with Guided Stochastic Exploration. Mike Heddes, Narayan Srinivasa, Tony Givargis, Alex Nicolau |
| 2025 | Amurep: Adaptively Multi-layer Region Partitioning for Next POI Recommendation. Weiqiang Jiang, Yan Wang, Lijuan Liu, Shunzhi Zhu |
| 2025 | An Accurate, Explainable and Efficient Vision Transformer with Feature Selection and Class Activation Mapping. Luna M. Zhang |
| 2025 | An Adaptive Multi-Indicator Contrastive Predictive Coding Framework for Patient Representation Learning. Hongxu Yuan, Yuzheng Yan, Xiaozhu Jing, Wuman Luo |
| 2025 | An Approach to Heterogeneous Task Offloading in Resource-Constrained Intelligent Manufacturing Environment. Zudong Li, Yongsheng Ma |
| 2025 | An Architecture for Fully Decentralized Opportunistic Learning. Dequn Kong, Xiaotao Li, Wai Chen |
| 2025 | An Artificial Bee Colony Algorithm Based On Neighborhood Search For Portfolio Optimization. Wenhong Wei, Shihao Li, Qiaoyun Chen |
| 2025 | An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastián Basterrech, Gerardo Rubino |
| 2025 | An Effective Approach to Class-Wise Unlearning in Pre-trained Encoders for Contrastive Learning. Changchun Yin, Liming Fang, Lu Zhou |
| 2025 | An Effective GANs-Based Method for High-Information-Value Multimodal Wearable Sensor Data Synthesis. Jiwei Wang, Yang Gu, Shuwang Zhou, Zhaoyang Liu |
| 2025 | An Effective Multimodal Rumor Detection Model via Image Semantic Enhancement and Hierarchical Fusion. Peiwen Yan, Kang He, Bobo Li, Yujie Huang, Fei Li, Chong Teng, Donghong Ji |
| 2025 | An Efficient Power Allocation Algorithm Based on Robust Bayesian Learning. Chunwei Miao, Jinhong Yang, Jian Zhang |
| 2025 | An Enhanced Autism Detection Model Based on Electroencephalogram Signals. Yuheng Huang, Weihao Huang, Chunhong Jiang, Qian Wu, Jiahui Pan |
| 2025 | An Exposure-Aware Self-Attention Method for Enhanced Self-Supervised All-Day Depth Estimation. Jingrui Dou, Peng Feng, Jiannan Teng, Zijin Luo, Lu Hu |
| 2025 | An Image Hiding Scheme based on Bayesian Optimization Reinforcement Learning and Chaotic Encryption. Lingzhi Zhou, Hongjing Chen, Ziqing You, Yuhuan Liao, Qing Liu, Demin Pang, Jiawen Yi, Yu Lu |
| 2025 | An Improved CenterNet2 Model for Long-Arm Engineering Vehicle Object Detection. Yunhao Li, Jie Hua, Zhongyuan Wang, Xu Li, Feng Tian |
| 2025 | An Improved Generative Adversarial Networks-Based Oversampling Method for Imbalanced Data Classification. Kuan Zhang, Xiaohui Cui |
| 2025 | An Integrated Approach to Mitigate Poisoning Attacks in Federated Learning Frameworks. Shahid Latif, Djamel Djenouri, Andrew Adamatzky |
| 2025 | An Integrated Scheme of Image Encryption and Steganography Based on the Improved 2D-CLSHS Chaotic System. Lingzhi Zhou, Hongjing Chen, Boyang Chen, Ziqing You, Yuhuan Liao, Qing Liu, Jiawen Yi, Demin Pang, Jinze Wang |
| 2025 | An Internet of Things (IoT) Intrusion Detection System Combining Large Language Models (LLMs) and Self-supervised Learning. Yufei An, Weibing Wang |
| 2025 | An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms. Tianye Shu, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees. Zhendong Chen, ZhanShang Nie, ShiXing Wan, Junyi Li, YongTian Cheng, Shuai Zhao |
| 2025 | An Optimization based on Cyclic Check Network for the Process Simulation of Polyacrylonitrile. Xun Cai, Siwei Xue, Yanbo Gao, Tianyou Wang, Bo Zhu, Jianguo Lv, Kin-Tak Lau |
| 2025 | An STE-Guided Machine Translation Method based on Evidence Theory. Na Ye, Chen Yang, Guiping Zhang |
| 2025 | An Uninterpretable Right: Legal and Practical Limits of the Right to an Explanation. Arnoud Engelfriet |
| 2025 | An insect brain inspired neural network for visual navigation in unstructured environments. Paolo Arena, Emanuele Cannizzo, Alessia Li Noce, Luca Patanè |
| 2025 | Analyzing Face Image Inpainting with Attribute-Driven Generative Network. Rishabh Shukla, Harkeerat Kaur, Isao Echizen |
| 2025 | Anomaly Detection Method Based on Compressed Sensing and Multi-Channel Feature Fusion. Shuyu Lu, Zongzuo Yu |
| 2025 | Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi |
| 2025 | AnyStyler: Adding Style Control in Diffusion Models to Any Modality Stylization. Wuqin Liu |
| 2025 | Application and Research of PINNs with Cross Network Enhanced Architecture in 3D Linear Elasticity Problems. Xu Liao, Zhong Liu |
| 2025 | Applying Center Loss to Neural Networks for Sequence Prediction: A Study for Handwriting Recognition. Simon Corbillé, Elisa H. Barney Smith |
| 2025 | Applying Large Language Models with Active Learning and Ensemble Learning for Sentiment Recognition in Children's Reading. Hongtao Mao, Jincai Yang, Xusheng Yang, Zhanghao Qin, Zeyu Zhang |
| 2025 | ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing. Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque |
| 2025 | Arbitrary-Shaped Text Detection with Hierarchical Feature Refinement and Nonlinear-Enhanced Transformers. Zhicheng Bao, Mayire Ibrayim |
| 2025 | Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights. Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri |
| 2025 | Are Horses Always Strong and Donkeys Dumb? Animal Bias in Vision Language Models. Mohammad Anas, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Amir Hussain |
| 2025 | Are Task-Specific Datasets the Be-All and End-All for LLM Performance? Jintao Yang, Yushan Tan, Wenpeng Hu, Junyao Zhou, Zonghao Yang, Zhunchen Luo, Wei Luo |
| 2025 | Artificial Intelligence for Critical Infrastructure Systems: Past, Present and Future. Nelishia Pillay, Thambo Nyathi, Ganesh Kumar Venayagamoorthy |
| 2025 | Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation. Yichao Feng, Shuai Zhao, Yueqiu Li, Luwei Xiao, Xiaobao Wu, Anh Tuan Luu |
| 2025 | Aspect-Oriented Semantic Enhancement Network For Aspect-Level Multimodal Sentiment Analysis. Xiangbo Ji, Na Li, Renda Han |
| 2025 | Assessing Urban Environments with Vision-Language Models: A Comparative Analysis of AI-Generated Ratings and Human Volunteer Evaluations. Felipe Moreno Vera, Jorge Poco |
| 2025 | Assisted-MobileSAM: Unleashing the Potential of MobileSAM through Teacher Assistant Distillation. Zhuolin Li, Xing Wu, Dejian Fang, Chengliang Wang, Lingqiu Zeng, Peng Wang |
| 2025 | Atmospheric Data Compression and Reconstruction Using Spherical GANs. Otavio Medeiros Feitosa, Haroldo F. de Campos Velho, Saulo R. Freitas, Juliana Aparecida Anochi, Angel Domínguez Chovert, Cesar M. L. De Oliveira |
| 2025 | Attacking RAG Systems in Multiple Domains with Locally Running and Automatic Procedures. Christian Di Maio, Stefano Melacci |
| 2025 | Attention Ensemble based Whole Heart and Great Vessel Segmentation for Surgical Planning of Total Anomalous Pulmonary Venous Connections. Erlei Zhang, Weihao Chen, Jinglei Li, Xiaowei Xu |
| 2025 | Attention to EEG signals: a transformer-based architecture for the prognosis of patients in coma. João L. M. Barbosa, Murillo G. Carneiro, Sérgio Baldo Júnior, Renato Tinós, Donghong Ji, Liang Zhao, João-Batista Destro-Filho |
| 2025 | Attention-Based Denoising Cross-Modal Multi-Level Fusion Network for Multimodal Sentiment Analysis. Kairui Wang, Shanliang Pan |
| 2025 | Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization. Renyuan Liu, Qinbing Fu |
| 2025 | Attention-Enhanced Convolutional Deep Architecture with Adaptive Jacobian Regularization for Joint Multi-Modal Optical and X-Ray Screening of Silicon-Carbide Power Devices. Francesco Rundo, Carmelo Pino, Giulia Castagnolo, Angelo Alberto Messina, Michele Calabretta, Sebastiano Battiato |
| 2025 | Attention-SSM Network for Predicting Springback Error in Single Point Incremental Forming. Du Chen, Mariluz Penalva Oscoz, Ander Martin Rebe, Yang Hai, Frans Coenen, Anh Nguyen |
| 2025 | AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks. Charlotte Siska, Anush Sankaran |
| 2025 | Attractor Regimes of Boolean Recurrent Neural Networks subject to STDP and Global Plasticity. Jérémie Cabessa, Alessandro E. P. Villa |
| 2025 | Audio Adversarial Example Generation via Information Reduction. Kai Yang, Jianbin Huang, Ying Yang |
| 2025 | Augmentation of EEG and ECG Time Series for Machine Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates. Nina Moutonnet, Gregory Scott, Danilo P. Mandic |
| 2025 | Augmented Knowledge Graph Querying leveraging LLMs. Marco Arazzi, Davide Ligari, Serena Nicolazzo, Antonino Nocera |
| 2025 | Augmenting Knowledge Graph Attention with Semantic Representation by Large Language Model for Recommendation. Yickim Lo, Caihong Li, Zefeng Feng |
| 2025 | Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions. Patrick Krauss, Achim Schilling |
| 2025 | Autism Spectrum Quotient Optimization Based on Machine Learning and Feature Selection. Ayaan Raza |
| 2025 | Auto Time-CoT Enhances Large Language Models for Temporal Reasoning Data Processing. Baosheng Yin, Naiyu Hu |
| 2025 | Automated Class Imbalance Learning via Few-shot Bayesian Optimization with Meta-learned Deep Kernel Surrogates. Zhaoyang Wang, Shuo Wang, Damien Ernst |
| 2025 | Automated Formative Feedback for Short-form Writing: An LLM-Driven Approach and Adoption Analysis. Tiago Fernandes Tavares, Luciano Pereira Soares |
| 2025 | Automated Graph-level Passes for TinyML Fault Tolerance. Johannes Kappes, Johannes Geier, Phillipp van Kempen, Daniel Mueller-Gritschneder, Ulf Schlichtmann |
| 2025 | Automated Machine Learning for Enhanced Digital Image Forgery Detection. Tayasan Milinda H. Gedara, Radwa El Shawi, Vincenzo Loia, Stefania Tomasiello |
| 2025 | Automatic Detection of Airway Mucus Plugs in CT Scans Using BiVariant Attention and ROI Masking. Yikun Wang, Kexin Liu, Yudi Zhang, Kai Niu, Chun Chang, Zhiqiang He |
| 2025 | Autonomous Generation of Sub-goals for Lifelong Learning in Robots. Emanuel Fallas Hernández, Sergio Martínez Alonso, Alejandro Romero, José Antonio Becerra, Richard J. Duro |
| 2025 | Autonomous Vehicle Localization via LiDAR-Based Classification of Dynamic and Static Tracks in Dynamic Environments. Muhammad Adnan, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni |
| 2025 | B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling. Kevin Innerebner, Franz M. Rohrhofer, Bernhard C. Geiger |
| 2025 | BACKTRACKER: A Novel Background Traffic Identification System For Mobile Apps. Yuyi Liu, Yitong Cai, Shu Li, Hongfei Zhang, Rong Yang, Qingyun Liu |
| 2025 | BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation. Wei Tao, Xiaoyang Qu, Kai Lu, Jiguang Wan, Shenglin He, Jianzong Wang |
| 2025 | BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers. Mohammed Alhabib, Zuping Zhang, Abdulrahman Noman |
| 2025 | BCLD-YOLOv11: An Adaptive Channel Attention and Cross-Scale Feature Fusion-based Method for Real-time Pedestrian Detection in Crowded Scenes. Xinxin Zhou, Chunying Xie, Yucai Li, ChunZhen Li |
| 2025 | BCRNet: A Lightweight Branched Convolutional Neural Network Enhanced with Riemannian Geometry for End-to-End EEG-Based Emotion Recognition. Wenxia Qi, Xingfu Wang, Wenjie Yang, Wei Wang |
| 2025 | BDA-YOLO: Enhancing Thyroid Nodule Detection and Segmentation via Dynamic and Bidirectional Attention. Yue Yu, Ruizuan Bao, Jingjun Gu, Zhaohan Zhang, Jiajun Bu |
| 2025 | BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks. Mengmeng Li, Jinlong Tian, Qiyuan Zhang, Hongmei Li, Yaqing Li, Xianglong Li |
| 2025 | BF-UNet: A Brain Function-Inspired Model with Memory Mechanism for Medical Segmentation. Wei Wang, Xing Zhang, Xin Wang, BeiBei Zhen |
| 2025 | BGEM: Bipartite Graph-based Extension Modeling in Graph Neural Network for QoS Prediction. Yingwei Luo, Yugen Du, Shuo Shi, Xia Chen, Guoxing Tang |
| 2025 | BMCNet-A: A Bone Marrow Cell Classification Model Based on Multi-scale Structure and Attention Mechanism. Hua Yuan, Leyi Zhang, Shoubin Dong, Jian Luo |
| 2025 | BP-WaveNet: A Multi-Scale Attention Mechanism for Continuous Blood Pressure Prediction. Yunliang Zhou, Yong Zhou, Xiaogang Xu |
| 2025 | BRAFL: Byzantine-Robust Aggregation Scheme for Federated Learning under Data Heterogeneity. Mengxing Qiu, Zhiguo Liu, Ruizhong Du, Xiaoyan Liang |
| 2025 | BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility. Abdul Basit, Maha Nawaz, Muhammad Shafique |
| 2025 | BSP-YOLOv10: A Small Object Detection Model for Detecting Appearance Scratches in Barrel-Shaped Products. Chao Ye, Wei Chen, Lei Zhao |
| 2025 | BT-Net: A Multi-Scale Transformer U-Net with Morphological Refinement for Adaptive Bone Tissue Segmentation. Wenyi Xiong, Shenghui Liao, Jie Zheng, Peishan Dai, Xiaoyan Kui |
| 2025 | Backdoor Defense via Malicious Knowledge Capturing and Machine Unlearning with Out-of-Distribution Data. Dongyang Liang, Keyu Chen, Hongyang Yan, Changyu Dong |
| 2025 | Backward Design-Driven Modular Retrieval-Augmented Generation Framework for Automated Instructional Design in Chinese Language Education. Wang Ruan, Tengda Qi, Jun He, Bo Sun, Guomin Zheng |
| 2025 | Balanced and Efficient Spiking Neural Networks. Tim Stadtmann, Janek Paeßens, Tobias Gemmeke |
| 2025 | Based on Adaptive Layer-wise Parameter Recombination. Li Lin, Lu Zhou |
| 2025 | Bayesian Convolution Neural Network with Spatially Correlated Priors. Tianyu Hwang, Lokesh Gautham Boominathan Muthukumar, Yash Gopal Darak |
| 2025 | Bayesian Graph Convolutional Neural Network with Noise Injection. Dongdong Nian, Xueqiong Yuan, Ercan Engin Kuruoglu |
| 2025 | Be More Focused: A Key Information-Aware Framework with Text Reconstruction for Multi-Span Question Answering. Lingai Jiang, Zuohua Ding |
| 2025 | Behavior-Reinforced Latent Alignment for Generating Functional Neural Spike Patterns Shenghui Wu, Xiang Zhang, Yiwen Wang |
| 2025 | Behavior-prompted Learning with Tree Attention for Advanced Facial Action Unit Detection. Hao Zou, Zheng Gao, Yante Li, Ce Li, Xiaobai Li |
| 2025 | Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI. Pietro Bartoli, Christian Veronesi, Andrea Giudici, David Siorpaes, Diana Trojaniello, Franco Zappa |
| 2025 | Benchmarking Retrieval-Augmented Generation: Challenging Domain-specific Datasets Generation Method. Yanqing Liu, Lei Hu, Xiaolong Dong, Zhi Wang |
| 2025 | Bert and Relation Graph Attention Network For Entity Alignment. Daojun Han, Zaichao Wang, Juntao Zhang, Tao Xu |
| 2025 | Beyond Accuracy: The Role of Calibration in Computational Pathology. João D. Nunes, Diana Montezuma, Domingos Oliveira, Tânia Pereira, Inti Zlobec, Jaime S. Cardoso |
| 2025 | Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients. Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz |
| 2025 | Beyond Filtering: Leveraging Instance Hardness for Data-Centric Machine Learning in Healthcare. Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena |
| 2025 | Beyond Local Features: A Metadata-Driven Image Frequency Modulation Network for Skin Disease Classification. Feng Li, Min Li, Chen Hu, Enguang Zuo, Xiaoyi Lv, Mingrui Ma, Chen Chen, Cheng Chen |
| 2025 | Beyond Similarity: Aligning Retrieval with Generation for Enhanced Image Captioning. Gengqi Yang, Dayan Wu, Jinyang An, Shupei Xiao, Zheng Lin |
| 2025 | Beyond accuracy, VuLocator can further locate the vulnerable code lines for GNN-based detectors. Huozhu Wang, Ziyuan Zhu, Qingwen Jin |
| 2025 | BiCon : Bi-Branch Network with Contour-Enhanced Features for Class Incremental Learning. Fengcheng Zeng, Qiming Yang, Heng Shu, Linjuan Cheng, Yuquan Wu, Chenghao Hu |
| 2025 | BiFMNet: A Bi-Frequency Modeling Network for Time Series Forecasting. Tongzheng Zhu, Jing Zhang, Dongmei Niu, Jiafu Zhao, Chenghao Zhang, Junzheng Yang |
| 2025 | BiLSTM-Enhanced GNN for Document-Level Event Extraction with Multi-Strategy Optimization. Xi Liu, Jun Long, Wen Ti Huang, Xi Yu, Yang Yang |
| 2025 | BiTST: Transformer for Time Series Forecasting with Bi-level Routing Attention along a Single Dimension. Changlin Ou, Bo Li, Man Huang |
| 2025 | Bias Mitigation in Federated Few-Shot Class-Incremental Learning via Multi-Prototype Collaboration. Siang Xu, Huaijun Qiu, Zhuo Yan, Cuiwei Liu |
| 2025 | Bias-Variance Analysis of Multi-Step Loss Functions for Dynamical System Identification. Fabien Lionti, Nicolas Gutowski, Sébastien Aubin, Philippe Martinet |
| 2025 | Biasing second-order random walk sampling for heterogeneous graph embedding Mauricio Soto Gomez, Carlos Cano, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Elena Casiraghi |
| 2025 | Bidirectional Cross-Attention Spatio-Temporal Transformer for Traffic Flow Prediction. Xiangfu Meng, Yongjie Xu, Xue Weng |
| 2025 | Bidirectional Multitask Learning for Non-Autoregressive Machine Translation. Songsheng Wang, Shijie Zhang, Zhihang Yuan, Dongkun Wang, Derek F. Wong |
| 2025 | Biologically Informed procedure for Feature Summarization in Spatial Transcriptomics. Matteo Baldan, Giulia Cesaro, Giacomo Baruzzo, Barbara Di Camillo |
| 2025 | BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity. Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos, Farah E. Shamout |
| 2025 | Book2QA: A Framework for Integrating LLMs to Generate High-quality QA Data from Textbooks. Zhanhao Cui, Ye Wang, Xinya Huang, Wen Wu, Wenxin Hu |
| 2025 | Boosting Network for Image Denoising. Zhonghua Xie, Haoyi Tang, Siyi He, Lingjun Liu |
| 2025 | Boosting Temporal Question Answering via Two-Stage Entity Fusion. Jiangjiang Zhao, Weijie Wan |
| 2025 | Boosting Text Matching with Dependency Tree. Hailong Wang, Jiehao Lei, Jianting Liu |
| 2025 | Boosting Zero-Shot Generalization Performance of Constructive NCO Approaches for Large-Scale TSP. Xinwei Chen, Li Zhang, Shijian Li, Gang Pan |
| 2025 | Bound Propagation meets Constraint Simplification: Improving Logic-based XAI for Neural Networks. Ronaldo Gomes, Jairo Ribeiro, Luiz Queiroz, Thiago Alves Rocha |
| 2025 | Bounding the Worst-class Error: A Boosting Approach. Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro |
| 2025 | Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models. Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao |
| 2025 | Breaking Walls, Building Bridges: A Language-Adaptive Framework for Multilingual Sequential Recommendation. Hongjun Heng, Liutong Chen |
| 2025 | Bridging AI and Regulation: Large Language Models for Documentation Compliance Check. Quynh Tran, Josef Salg, Krystsina Shpileuskaya, Qi Wang, Larissa Putzar, Sven Blankenburg |
| 2025 | Bridging Clustering and Training Gap in Unsupervised Vessel Re-identification. Jianqing Zhu, Heng Xu, Yutao Chen, Linhan Huang, Huanqiang Zeng |
| 2025 | Bridging Privacy Preservation and Optimization in Heterogeneous Decentralized Learning: Regularization Tuning and Model Pruning. Xiaoming Wu, Teng Liu, Xin Wang, Ming Yang |
| 2025 | Bridging Theory and Practice of MAPPO for Cooperative Multi-Agent Continuous Control. Hepeng Li, Haibo He |
| 2025 | Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer. Mingda Li, Abhijit Mishra, Utkarsh Mujumdar |
| 2025 | Bridging the Modality Gap: Semantic-Calibrated Zero-shot Speech Emotion Captioning. Jianzong Wang, Xulong Zhang, Xiaoyang Qu |
| 2025 | Brillouin temperature extraction technology based on RHN fusion Self-Attention mechanism. Jingyu Wu, Zhihui Sun, Wei Zhang, Shaodong Jiang, Faxiang Zhang, Xiaohui Liu, Changfeng Li, Chang Wang |
| 2025 | Building Efficient Segmentation Models from Large Open-Vocabulary Foundation Models Without Any Labels. Yang Li, Diqi Chen, Sen Wang, Brano Kusy, Jiajun Liu |
| 2025 | Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models. Xinyuan Wang, Haozhou Li, Dingfang Zheng, Qinke Peng |
| 2025 | ByteGT: A Hybrid Sequential-Attention Network for Enhancing File Fragment Classification on Raw Data. Yuhao Zhang, Fei Wang, Shuhui Chen, Ziling Wei |
| 2025 | Byzantine-Resilient Decentralized Parallel Policy Gradient. Qifeng Lin, Yue Huang, Qing Ling |
| 2025 | CA-U-Net: Context Aware U-Net For Brain Tumor Segmentation. Krishen Jagani, Muhammad Abdullah Hanif, J. Angel Arul Jothi, Muhammad Shafique |
| 2025 | CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation. Wenbo Xiao, Zhihao Xu, Guiping Liang, Yangjun Deng, Yi Xiao |
| 2025 | CADRAG: Credibility-Aware Dynamic Retrieval-Augmented Generation for LLMs. Longgang He, Zhenhua Wei |
| 2025 | CAMFeND: Credibility-Aware Multimodal Fake News Detection with Rotational Attention. Nidhi Gupta, Qinghua Li, Lu Zhang |
| 2025 | CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models. Nikolaos Dionelis, Jente Bosmans, Nicolas Longépé |
| 2025 | CARE: Contextual Residual and soft Encoding Relation Extraction for clinical medicine. Xin Guo, Kaifei Li, Qian Chen, Suge Wang, Jian Liao, Yang Gu |
| 2025 | CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis. Humberto Giuri Calente, Renato A. Krohling |
| 2025 | CCS-GAD: A Collaborative Contrastive Self-Supervised Learning Model for Graph Anomaly Detection. Rui Cao, Shijie Xue, Qi Wang, He Kong, Runliang Niu, Qianli Xing, Deyang Zhang |
| 2025 | CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models. Qiyun Ma, Shuming Jiang, Zhiqiang Wei, Jing Zhao |
| 2025 | CDE-CCL: A Classroom Dialogue Evaluation Framework for Chinese Core Literacy via LLM. Mingxuan Wang, Yifan Zhao, Mingyang Yue, Guomin Zheng, Jun He, Bo Sun |
| 2025 | CDS-GAN: Unpaired Infrared to Visible Image Translation Using Cross-domain Regional Similarity Matching. Guanghui Li, Xiaofei Jin, Yuxuan Zhang, Jianfeng Zhang, Guoliang Hu |
| 2025 | CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression. Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek, Marcin Mazur |
| 2025 | CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing. Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu |
| 2025 | CFC-GMixer: Closed-Form Continuous-Time Graph Networks with Multi-Scale Feature Mixer for Stock Predictions. Lele Gao, Zhihao Li, Junpeng Yu, Jianning Zhang, Wenjie Yao, Hongnian Wang |
| 2025 | CFCPalsy: Facial Image Synthesis with Cross-Fusion Cycle Diffusion Model for Facial Paralysis Individuals. Weixiang Gao, Yating Zhang, Yifan Xia |
| 2025 | CFD: A Novel Cylindrical Feature Fusion and Mapping Pipeline for Multi-view Self-Supervised Depth Estimation. Ruihang Li, Tao Li, Zhe Yin, Huangnan Zheng, Kaikai Xiao, Zhijie Pan |
| 2025 | CFPFormer: Cross Feature-Pyramid Transformer Decoder for Medical Image Segmentation. Hongyi Cai, Mohammad Mahdinur Rahman, Wenzhen Dong, Jingyu Wu |
| 2025 | CGDMamba: Boosting Remote Sensing Change Detection with Dual-Mamba. Xue Li, Dong Li, Jiandong Fang, Xueying Feng |
| 2025 | CGMSF-SAR:Context-Guided and Multi-Scale Fusion Lightweight SAR Ship Detection Model. Meng Chen, Shunxiang Zhang, Guangli Zhu, Yang Xu, Liang Sun, Jiaqi Liu |
| 2025 | CHAIR-Classifier of Hallucination As Improver. Ao Sun |
| 2025 | CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines. Ritik Mishra, Mushir Akhtar, M. Tanveer |
| 2025 | CICE: Neural Network Interpretability Based on Conceptual Interference Coefficients. Lijun Gao, Wenyu Li |
| 2025 | CL2OD: Class-Incremental Continual Learning for Outdoor 3D Object Detection in Autonomous Driving. Xihao Wang, Xiangzhong Liu |
| 2025 | CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering. Liqiang Wen, Guanming Xiong, Tong Mo, Bing Li, Weiping Li, Wen Zhao |
| 2025 | CLIP-Enhanced Linear Alignment for AI-Generated Image Detection Using Latent Cross-Attention. Yanxi Wang, Tao Sun |
| 2025 | CLIPPose: Using Language Prompts for Human Pose Estimation. Yubo Zhang, Jiayong Zhu |
| 2025 | CLMP: Cross Learning Multi-head Prediction Guided Source-Free Domain Adaptation for Medical Image Segmentation. Jie Yang, Yu Chen, Wenqiang Lin, Guitao Cao |
| 2025 | CMAN: Compact Modality Alignment Network With Dual Stream Transformer For Visible-Infrared Person Re-identification. Xuyang Song, Pingyang Dai |
| 2025 | CMSPA-Former: Causal Multi-Scale Pyramid Attention Former for Estimating Counterfactual Outcomes. Wendong Zhang, Haibin Peng, Zhifang Liao |
| 2025 | CNF-VAE: Nonlinear Causal Representation Learning based on VAE and Flow. Jin Dai, Zhaoran Hu, Daijun Zhu |
| 2025 | CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters. Zishuo Feng, Feng Cao, Lei Feng |
| 2025 | COLD-QA: A Complex Long-Distance Numerical Reasoning Dataset for Hybrid Tabular-Textual Question Answering. Xiaoqing Cheng, Hongying Zan, Tengxun Zhang, Hongfei Xu |
| 2025 | CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs. Yingming Zheng, Xiaoliang Liu, Peng Wu, Li Pan |
| 2025 | CRS3D: Consistency Regularization for Sparsely-supervised 3D object detection. Binghui Zeng, Zongyue Wang, Zhaoliang Liu, Yidong Chen, Weiquan Liu, Wentao Yang |
| 2025 | CRoCExplainer: A Tool to Explain Graph Learning with Improved Connectedness Representation. Yanghepu Li, Liang Zhao |
| 2025 | CS-DAViT: Cross-Scale Vision Transformer with Dual Attention for Efficient Emotion Recognition. Yuying Liu, Haolan Zhang, Yexin Liu Lu, Youpeng Yang, Yunfa Fu |
| 2025 | CS-LightGCL: Composition-Supervised LightGCL for Interactive Web API Recommendation. Jiayu Li, Qingping Li, Yan Li, Xin Ai, Jie Chen, Jiayan Xiang, Guosheng Kang |
| 2025 | CS-YOLO: A cross-scale model designed for impact crater detection in Mars remote sensing images. Hongguang Xiao, Shanhua Li, Lifu Chen |
| 2025 | CSF-DSRE:A Distantly Supervised Relation Extraction Model Based on Contextual Semantic Fusion. Min Li, Juan Yu, Mingle Zhou, Jiachen Li, Delong Han |
| 2025 | CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs. David Méndez, Gianpaolo Bontempo, Elisa Ficarra, Roberto Confalonieri, Natalia Díaz Rodríguez |
| 2025 | CVKAN: Complex-Valued Kolmogorov-Arnold Networks. Matthias Wolff, Florian Eilers, Xiaoyi Jiang |
| 2025 | CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation. Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee |
| 2025 | CalliStyleGAN: A Chinese Calligraphy Style Transfer Method Based on StyleSwin and Dual-Style Injection. XueKai Zhao |
| 2025 | Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models? Christophe El Zeinaty, Wassim Hamidouche, Glenn Herrou, Daniel Ménard, Mérouane Debbah |
| 2025 | Cancer Drug Response Prediction Based on Graph Neural Networks and Cross-Attention. Junming Zhang, Yongqing Zhang |
| 2025 | Cascade Adversarial Attack Search. Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian |
| 2025 | Causal Analysis of Intellectual Complexity in Software Engineering. Chunhao Li, Mengdi Zhang, Sijia Meng, Xuning Gao, Jialin Yu, Jianyuan Hu, Shuo Wang, Ricardo Silva, Bin Chen |
| 2025 | Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery. Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan |
| 2025 | Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis. Hiroshi Yokoyama, Ryusei Shingaki, Kaneharu Nishino, Shohei Shimizu, Thong Pham |
| 2025 | Causality-Guided Policy Optimization in Reinforcement Learning. Lishan Yang, Qiuju Chen, Lihua Liu, Yibin Zhan |
| 2025 | Causeways: Building Bridges with Context in Peer-To-Peer Federated Learning. Melike Geçer, Benoît Garbinato |
| 2025 | Cellular Network Traffic Prediction In Data-Scarce Environments: A Cross-Domain Transfer Learning Mechanism. Ke Liu, Yinlin Ren, Shao-Yong Guo, Shuang Wu, Feng Qi |
| 2025 | Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar |
| 2025 | Chain of Thoughts Based Prompting for Incident Detection Using Large Language Model. Lorraine Chambers, Affiong Udokisai, Haitham Mahmoud, Khalid Ismail, Nazim Mohammed, Waldo Cervantes, Mohamed Gaber, Rehan Bhana |
| 2025 | Chain-of-Morphemes Tuning: Injecting Morphology in LLM-based Machine Translation. Telem Joyson Singh, Sanasam Ranbir Singh, Deepen Naorem, Priyankoo Sarmah |
| 2025 | Change Detection Method for Nighttime Large-Field Video Images Combining Anisotropic Diffusion and Non-Negative Matrix Factorization. Tianyu Ren, Zhenhong Jia, Jia He, Xiaohui Huang, Sensen Song, Jiajia Wang, Gang Zhou, Fei Shi, Ming Lv |
| 2025 | CharDetNet: Lightweight Ancient Character Detection with Mixed Attention. Yucheng Song, Chuang Zhang, Ming Wu |
| 2025 | ChatSeek: Open-Vocabulary Object Seeking with LLM-Informed Belief Field and Vehicle-Arm Cooperation. Bolei Chen, Liangbai Liu, Haonan Yang, Yongzheng Cui, Shengsheng Yan, Ping Zhong, Yu Sheng |
| 2025 | Checking extracted rules in Neural Networks. Adrian Wurm |
| 2025 | Chinese Multimodal NER Base On Hierarchical Subnetwork And Feature Fusion. Mingyan Lin, Jiaying Chen, Yurong Qian, Huiyong Lv, Jiyuan Zhang |
| 2025 | Chinese Named Entity Recognition Based on UCB and Levitated Marker. Shunran Duan, Meijuan Yin, Xiangyang Luo, Shengyuan Dai |
| 2025 | Classical to Quantum Knowledge Distillation: a Study on the Impact of Hybridization. Simone Piperno, Giacomo Vittori, David Windridge, Antonello Rosato, Massimo Panella |
| 2025 | Clinical Experience-inspired Multimodal Fusion Networks for Dermatological Classification. Chen Hu, Feng Li, Cheng Chen, Chen Chen, Enguang Zuo, Guangjian Liu, Min Li, Xiaoyi Lv |
| 2025 | Cloud-Edge-End Collaborative Dependent Task Offloading Based on Meta Deep Reinforcement Learning. Yongtao Huang, Jiarong Zhu, Binbin Huang |
| 2025 | Clustered Federated Learning Framework for Non-IID Ambient Noise Mapping for Urban Sensing. Ayshika Kapoor, Pranjal Gulati, Dheeraj Kumar |
| 2025 | Clustered Federated Learning Framework for Non-IID Ambient Noise Mapping for Urban Sensing. Ayshika Kapoor, Pranjal Gulati, Dheeraj Kumar |
| 2025 | Clustering of Single-cell RNA-seq Data using Multi-hop Graph Embedding Autoencoder. Xintong Yi, Tieru Wu, Zhuohan Yu, Xiangtao Li |
| 2025 | Clustering-Aware Multiple Graph Matching with Cycle Consistency. Tianshui Gu, Junjie Li, Xuyao Li, Kezhong Lu |
| 2025 | Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning. Guoqing Ma, Yuhan Zhang, Yuming Dai, Guangfu Hao, Yang Chen, Shan Yu |
| 2025 | Co-teaching with Local and Global Information for Weakly Supervised Video Anomaly Detection. Chen Xu, Chunguo Li, Hongjie Xing |
| 2025 | CoCF: Consistent Selection and Flexible Masking for Learning with Noisy Labels. Zhen Wang, Shaoqian Tao, Wenxin Zhao, Yongfeng Dong |
| 2025 | CoMPO-GPT: Cross-Attention Conditioning for Multi-target Molecular Design in Generative Models. Arthur Cerveira, Frederico Kremer, Gabriel Almeida Gomes, Ulisses Brisolara Corrêa |
| 2025 | CoRPL: A Novel Contrastive and Reciprocal Points Learning Framework for Open-Set Hyperspectral Image Classification. Minhui Zhao, Lin Zhao, Zhuoxuan Chen, Jia Li, Tian Luo, Tiantian Zhu |
| 2025 | CoReGraph-CR: Credit Rating Method Based On the Corporate Feature Relationship Graph. Bingqian Wen, Yisi Wang, Yiting Zhou, DiYang Lu, Zhongliang Yang, Linna Zhou |
| 2025 | CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs. Yupian Lin, Yuang Bian, Guangya Yu, Dongge Xue, Wanpeng Lu, Jingping Liu, Tong Ruan |
| 2025 | Coarse-Grained Dynamic Differential Privacy Federated Learning based on D3QN. Jingbo Yu, Tao Wu, Nina Shu, Huaixi Wang, Kang Yan, Lanlan Qi, Ruhao Jiang, Chao Chang |
| 2025 | Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models. Ruobing Huang, Shanshan Feng, Fan Li, Caishun Chen, Yew Soon Ong |
| 2025 | Cold Start Point-of-Interest Representation Learning with Conditional Diffusion Model. Liang Zhang, Sijie Ruan, Kaijun Liu, Cheng Long |
| 2025 | Collaborative Enhancement of Long-term and Short-term Interests with Diffusion Optimization for Conversational Recommendation. Xinyu Chen, Xianying Huang, Fengjin Liu, Huan Li |
| 2025 | Collaborative Management for Spatial Safety for Unmanned Intelligent Vehicles in Human-Machine Coexistence Environment. Haida Zhang, Yidong Jin, Lin Sun, Fanmeng Hong, Han Zhu, Haopeng Chen, Yan Jiao, Yongming Xu |
| 2025 | Combat Misinformation: Dynamic User Credibility Prediction via State-Aware Neural Processes. Haoran Chen, Dongmei Han |
| 2025 | Combinatorial U-Curve Optimization for Multi-Task Learning: A Task Selection Approach. Giovana K. Bonás, Marcelo S. Reis, Marcos M. Raimundo |
| 2025 | CombinedNet: A Hybrid Model for Deepfake Audio Detection Using Deep Learning Techniques. Vincenzo Gattulli, Donato Impedovo |
| 2025 | Comparative Analysis of Foundation Models for EEG-Based Alzheimer's Disease Detection. Nan Huang, Alexandros Tzallas, Zihuai He, Xiang Zhang |
| 2025 | Comparative Analysis of Token Classification and Zero-Shot LLM Approaches for Named Entity Recognition in the Business Domain. Marco Stefanelli, Marco Maggini, Leonardo Rigutini |
| 2025 | Comparing eye-tracking time series imaging methods in ADHD screening. Pedro Lencastre, Ananta Devkota, Shailendra Bhandari, Bineeth Kuriakose, Pedro G. Lind |
| 2025 | Complex-value Automatic Modulation Recognition via a Dual-channel Transformer. Yurui Zhao, Shuya Cao, Xiang Wang, Ming Cheng, Zheng Liu |
| 2025 | Concept Factorization via Self-Representation and Adaptive Graph Structure Learning. Zhengqin Yang, Di Wu, Jia Chen, Xin Luo |
| 2025 | ConceptVQ: Visual Model Interpreter. Jianyu Zhang, Li Zhang, Shijian Li |
| 2025 | Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection. Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See |
| 2025 | Context-Aware Meta-Reinforcement Learning for Intelligent Diverse Indoor HVAC Control. Songling Liu, Jing Li, Tommaso Buganza |
| 2025 | Contextual Pooling for Multiple-Instance Learning-based Non-Intrusive Load Monitoring. Giulia Tanoni, Emanuele Principi, Paolo Vitulli, Luigi Mandolini, Stefano Squartini |
| 2025 | Contextual Self-Learning Approach for Continuous Object Detections in Expansive Visual Domains. Dhroov V. Bharatia, Harshal V. Bharatia |
| 2025 | Continual Gesture Learning without Data via Synthetic Feature Sampling. Zhenyu Lu, Hao Tang |
| 2025 | ContourFormer: Real-Time Contour-Based End-to-End Instance Segmentation Transformer. Weiwei Yao, Chen Li, Minjun Xiong, Wenbo Dong, Hao Chen, Xiong Xiao |
| 2025 | Contrastive Denoising Variational Recurrent Neural Network for Noise-Agnostic State Modeling of Soft Robotic Systems. Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan |
| 2025 | Contrastive Learning Method for Behavior Prediction and Sequential Recommendation based on Multi-Intention Disentanglement. Zeyu Hu, Yuzhi Xiao, Tao Huang, Xuanrong Huo |
| 2025 | Contrastive Learning with Knowledge-Enhanced Prompts for Insider Threat Detection. Haoyang Yu, Yunchuan Guo, Jing Wang, Mengxiang Zhu, Yongqiang Xu, Zifu Li |
| 2025 | Contribution-Driven Personalization for Model Heterogeneous Federated Learning. Jifeng Chen, Haibo Zhang, Amanda S. Barnard |
| 2025 | Controllable-Quality Neural Video Representation via Inter-frame Motion and Residual Mapping. Zihan Wan, Dongyan Zhang |
| 2025 | ContxE: Attention-based Context Aggregation for Temporal Knowledge Graph Completion. Borui Cai, Yong Xiang, Longxiang Gao, Jiong Jin, Junfeng Wu, Tom H. Luan |
| 2025 | ConvGAN: A ConvNeXt-Enhanced CycleGAN for Chinese Calligraphy and Painting Fusion. Yonglong Peng, Min Xiong, Qirong Zhao |
| 2025 | Conventional Augmentation is More Effective than ImageGPT and GANs? A Comparison of Synthetic Data Evaluation Methods. Andrew Kennedy, Richard Everson |
| 2025 | Convolutional Self-Attention Network with Disentangled Intents for Course Sequence Recommendation. Kai Yu, Dongjin Yu, Dongjing Wang |
| 2025 | CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen |
| 2025 | Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible. Chaoyi Lu, Yiding Sun, Pengbo Li, Zhichuan Yang |
| 2025 | Corruption-Agnostic Sign Language Translation. Honghao Fu, Yidong Chen |
| 2025 | CotexFinger: Enhancing IoT Device Identification with Context-Packet Fingerprinting and Lightweight Mamba. Junjie Yang, Xiu Zhang, Zelin Cui, Bo Jiang, Zhigang Lu, Huamin Feng |
| 2025 | Counterfactual Multi-agent Decision Transformer. Fanfan Zhao, Yuanquan Hu, Wai Kin Victor Chan |
| 2025 | Coupled Multi-view Graph Convolutional Networks Based on Multi-scale Attention and Knowledge Embedding for Parkinson's Disease Diagnosis. Ruizhi Zhang, Chengjia Liang, Songxi Liang, Haijun Lei |
| 2025 | CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations. Zelin Cao, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Pengcheng Li, Jianfang Liu, Wei Wang |
| 2025 | Covert Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. Jinxue Zhao, Hongyu Huang, Mahabubur Rahman Miraj |
| 2025 | CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration. Yumeng Shi, Zhongliang Yang, DiYang Lu, Yisi Wang, Yiting Zhou, Linna Zhou |
| 2025 | Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets. Jie Yang, Yiqiu Tang, Yongjie Li, Lihua Zhang, Haoran Zhang |
| 2025 | Cross-Domain Chinese Event Argument Extraction based on Attention-Enhanced Machine Reading Comprehension. Shihao Xu, Yawei Ma, Wei Liu |
| 2025 | Cross-Domain Feature Interaction: A Robust Generalization Network for Cross-Category Medical Image Classification. Xin Wang, Wei Wang, Jixing He |
| 2025 | Cross-Domain Matrix Compression Adaptation for Zero-Shot Sketch-Based Image Retrieval. Decheng Liu, Xu Luo, Yu Zheng, Chunlei Peng |
| 2025 | Cross-Graph Relational Knowledge Distillation with Lightweight ST-GCN for Gait Disorder Recognition. Zakariae Zrimek, Youssef Mourchid, Mohammed El Hassouni |
| 2025 | Cross-Modal Integrative Feature Network for Sketch-based 3D Shape Retrieval. Xiaoheng Li, Feng Tian, Jinyuan Jia, Peng Ren, Yunfeng Bai, Dong Liang, Zhongyuan Wang |
| 2025 | Cross-Modal Neuromorphic Semantic Segmentation based on Knowledge Distillation. Dalia Hareb, Jean Martinet, Benoît Miramond |
| 2025 | Cross-Network Relationship Learning via Optimal Transport for Link Prediction. Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai |
| 2025 | Cross-View Image Geo-Localization Based on Weighted InfoNCE. Zhongju Ma, Chunfang Yang, Ma Zhu |
| 2025 | Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition. Junwei Feng, Xueyan Fan |
| 2025 | Crowd-Aware Robot Navigation for Scenario Generalization via Deep Reinforcement Learning and Knowledge Distillation. Chuanbao Zhou, Shiying Sun, Xingyuan Gao, Chenyu Zhang, Kuan Liu, Xiaoguang Zhao, Min Tan |
| 2025 | Curriculum Design for Scalable Biologically Plausible Deep Reinforcement Learning. Alexandra R. Van Den Berg, Pieter R. Roelfsema, Sander M. Bohté |
| 2025 | Custom Sequential Neural Network for Inverse Kinematic Regression. Jakub Silka, Michal Wieczorek |
| 2025 | Cyclo-VGAE: Dual-Mechanism Approach to GNN Robustness Against Noisy Labels. Carlos Minutti-Martinez, Boris Escalante-Ramírez, Jimena Olveres |
| 2025 | D Gan Lin, Jing Bai, Yawen Su |
| 2025 | DA-Mamba: A Dual-domain Attention Mamba-based Image Deraining Network. Kang Chen, Qiuhai Yan, Aiwen Jiang |
| 2025 | DABART: Dynamic Semantic Optimization Framework for Dialogue Summarization via Adaptive Topic Analysis and Semantic Bridging. Keyan Jin, Yapeng Wang, Leonel Santos, Tao Fang, Xu Yang, Sio Kei Im |
| 2025 | DACKT: Enhanced Code Knowledge Tracing with Dual Attention Mechanisms. Boyi Ni, Liangyu Chen, Ningkang Jiang |
| 2025 | DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting. Wen Li, Jiaxin Yuan, Heming Du, Jiyanglin Li, Shouguo Du, Yiming Tang |
| 2025 | DAF-MFNet: A Multi-Scale Driving Assistance Detection Algorithm Based on Multi-Modal Fusion. Zhuqi Li, Songtao Deng, Zhiwei Wang, Wangyu Wu, Jingbo Zhan, Bingcai Wei, Hao Li, Wuji Wei, Jian Wang |
| 2025 | DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection. Shilong Hong, Yanzhou Zhou, Weichao Xu |
| 2025 | DAGNet: A Dynamic Aggregation and Generation Network for Next POI Recommendation. Yanli Zhang, Guochen Li |
| 2025 | DALFNet: A Lightweight Multimodal Fusion Network for Object Detection in In-Vehicle Scenarios with Depth Enhancement. Yehang Zhang, Zihang Shao, Doudou Zhang |
| 2025 | DANet: Direction-Aware Network via Vertical-Horizontal Attention Fusion for Medical Image Segmentation. Mingke Li, Xiaohui Yang, Qiuyu Yu, Jia Zhao, Jing Wang |
| 2025 | DAPN: Domain-Aligned Prototypical Network for Cross-Domain Few-Shot Image Classification. Mengting Wang, Ying Yang, Jia Zhao, Huiling Wang, Ziyang Cao, Xu Wang |
| 2025 | DASViT: Differentiable Architecture Search for Vision Transformer. Pengjin Wu, Ferrante Neri, Zhenhua Feng |
| 2025 | DAV: An Adaptive Defense Framework for Model Extraction Attacks. Peng Sui, Jiapeng Zhou, Yu Chen, Youhuizi Li |
| 2025 | DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks. Xiang Wang, Hui Xu, Jing Cai, Ta Zhou, Xibei Yang, Wei Xue |
| 2025 | DB-STAGCN: A Dual-Branch Spatial-Temporal Attention Graph Convolutional Network for Traffic Flow Prediction. Zhenyu Yang, Zhiyong Wu, Fengna Ji, Lei Du, Xiuwei Hu, Yunhui Zheng |
| 2025 | DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation. Haoxuan Li, Wei Song, Aofan Liu, Peiwu Qin |
| 2025 | DBFC Kexin Xu |
| 2025 | DCI-PRNet: 3D Object Detection Network via Dual Cross-modal Interaction and Progressive Reasoning. Sixian Chan, Beibei Duan, Xinggang Fan, Jie Hu |
| 2025 | DCPFedRec: A Dual Clustering-Based Personalized Federated Recommendation Method. Huan Liang, Wenjie Luo |
| 2025 | DCT-GMM-FedSeg: Multimodal Medical Image Segmentation in a Federated Learning Framework. Yunhe Feng, Jianan Wang, Xiong Wang, Lingren Wang, Yutong Li, Renda Han |
| 2025 | DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection. Wenxin Zhang, Xiaojian Lin, Wenjun Yu, Guangzhen Yao, Jingxing Zhong, Yu Li, Renda Han, Songcheng Xu, Hao Shi, Cuicui Luo |
| 2025 | DDN-Turbo: Enhanced Deconvolutional Density Networks for Data-Scarce Conditional Density Estimation. Junjie Mao, Lin Wang, Chenglong Song, Pan Zhang |
| 2025 | DDYOLO: Efficient Rainy Scene Object Detection with Deraining Guidance. Xianglong Chen, Tao Yan, Chenglong Wang, Jinsheng Liu, Zhineng Zhang, Weilong Huang |
| 2025 | DECSEFE-Org: a hierarchical AI-based framework for automatic DEtection, Classification, SEgmentation, and Feature Extraction of Organoids. Giovanni Cicceri, Carmelo Militello, Salvatore Vitabile |
| 2025 | DEO: Jailbreak a Black-box Multimodal Large Language Model with Dual-Embedding Alignment. Lijie Zhang, Mingsi Wang, Yue Zhao, Zijin Lin, Kai Chen |
| 2025 | DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation. Ziqin Luo, Jinyi Han, Haokun Zhao, Dixuan Wang, Guochao Jiang, Jiaqing Liang, Deqing Yang |
| 2025 | DF-Net: A Meteorological Factor-Based Network for Predicting PM10 Concentrations. Yongsheng Wang, Guolin Zhang, Shiyi Tan, Delong Zhang, Haotian Chen |
| 2025 | DFM-Net: A Lightweight Network for Remote Sensing Image Detection. Yue Yang, Xiaoqiang Song, Xu Wang, Jinhao Song, Zilong Li |
| 2025 | DGAN-TRL: Deep Graph Attention Network Based Trajectory Representation Learning. Yu Sang, Jiafeng Du, Zhenping Xie |
| 2025 | DH-YOLO: Double-Head YOLO for Detecting Refrigerant Leakage Smoke in Air Conditioners. Yuhan Jiang, Ruoxi Wang, Jie Hua, Jinbi Liang, Gang Wu |
| 2025 | DIANA: Drone Imagery for Archipelago Navigation and Analysis for Maritime Object Detection. Mehdi Asadi, Amin Majd, Mohammad Loni, Juha Kalliovaara |
| 2025 | DIPF: Dual-Intervention Prompt Framework for Emotion Recognition in Conversation. Yukun Cao, Luobin Huang, Lisheng Wang |
| 2025 | DLBacktrace: Model Agnostic Explainability for any Deep Learning Model. Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth |
| 2025 | DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains. Junyu Xia, Jiesong Bai, Yihang Dong |
| 2025 | DLLaVA: A Novel Multimodal Architecture with Enhanced Vision Encoder and Curriculum Learning. Yuqi Mao, Jianyu Zhou |
| 2025 | DLST: A Novel Framework for Market Risk Stress Testing via EXformer. Fusheng Chen, Jing Liu, Zhongming Han, Li Han |
| 2025 | DMIMHD: Dynamic Modality Interaction for Multi-Modal Human Desire Understanding. XiangRui Zhang |
| 2025 | DML Mask R-CNN: addressing Dependent Multi-Label defect detection with severity estimation in manufacturing. Thomas Mignot, François Ponchon, Alexandre Derville, Stefan Duffner, Christophe Garcia |
| 2025 | DMP-DETR: Dilation Multi-Scale and Partial Channel Gated Fusion Attention For Steel Defect Detection. Shuangquan Zhao, Cong Wu, Yu Feng |
| 2025 | DMSnet: Dual multi-scale background stripping nested network for single-frame infrared small target detection. Zichang Hu, Xuhao Guo, He Deng |
| 2025 | DMT-DHIN: A Dynamic Heterogeneous Information Network Framework for Detecting Malicious Encrypted Traffic. Xiaotong Li, Xiaohui Han, Hui Cui, Lei Guo, Hua Ding, Chaoran Cui |
| 2025 | DNWHCN: Dynamic Node Weights-based Hypergraph Convolution Network for Neurodevelopmental Disorder Classification. Peng Wang, Rui Cao |
| 2025 | DOA: Advancing Cross-View Geo-Localization via Domain and Objective Alignment. Yu Meng, Lei Sun |
| 2025 | DP-MuLP: A Differentially Private Framework for Link Prediction in Multiplex Networks. Longgang He, Zhenhua Wei |
| 2025 | DPCAI: Image Composition via Diffusion Prior and Compound Attention Injection. Wentao Yang, Lei Chen |
| 2025 | DPEE: A Dual-Prompt Framework for Overlapping and Nested Event Extraction. Xuqiang Yuan, Xuhong Liu, Ning Li, Xiulei Liu |
| 2025 | DPFN: Dual-Path Fusion Network for Lightweight Single Image Super-Resolution. Jinliang Ou, Haoyu Zhang, Junheng Ge, Yuying He, Hanyu Gao, Zhengnan Yin |
| 2025 | DPSNet: A Dual-Path Hazy Object Detection Network with Dehazing Supervision. Ying Pang, Fayu Wang, Renhan Zhou, Xinge Li |
| 2025 | DQ3D: Depth-guided Query for Transformer-Based 3D Object Detection in Traffic Scenarios. Ziyu Wang, Wenhao Li, Ji Wu |
| 2025 | DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication. Wang Zhang, Chenguang Liu, Yue Pi, Yong Zhang, Hairong Huang, Baoquan Rao, Yulong Ding, Shuanghua Yang, Jie Jiang |
| 2025 | DRCO: a Toolkit for Intelligently Curbing Illegal Wildlife Trade. Songcheng Xu, Yuhan Ye, Mingyuan Li, Haochen You, Kangsheng Wang, Wenxin Zhang |
| 2025 | DRGait: Dynamism Reinforced Gait Encoder for Identifying Scoliosis in a Noninvasive Way. Soma Chakraborty, Aditya Nigam |
| 2025 | DRIP: DRop unImportant data Points - Enhancing Machine Learning Efficiency with Grad-CAM-Based Streaming Data Prioritization for On-Device Training. Marcus Rüb, Daniel Konegen, Axel Sikora, Daniel Mueller-Gritschneder |
| 2025 | DRL-BPSD: Deep Reinforcement Learning-Enhanced Blockchain Phishing Scam Detection Method. Dezhao Kong, Fan Zhang, Chang Liu, Feng Qi, Yan Zhang, Yu Jiang, Xuwen Liu, Yingchun Zheng |
| 2025 | DRL-MR: Multipath Routing Based on Multi-Agent Deep Reinforcement Learning for SDN-Based Data Center Networks. Peixin Liu, Xiangyu Bai, Haoran Cheng |
| 2025 | DRM-Yolov8 Pedestrian Detection Method for Nighttime Complex Scenarios. Rongqi Yao, Guoxiang Wu, Dixin Wang, Yixin Wang, Yu Lu |
| 2025 | DRMoE: Discourse-Aware Rhetorical Structure for Meeting Summarization with Mixture of Experts. Keyan Jin |
| 2025 | DS-YOLO: A Vehicle Detection Model for UAV Aerial Photography Based on Improved YOLO11n. Xinxin Zhou, Hongrui Zhang, Hui Yi, Jinye Zhang |
| 2025 | DSAC-C: Robust Discrete Soft-Actor Critic for Distribution Shift Scenarios. Dexter Neo, Tsuhan Chen |
| 2025 | DSE-YOLO: An Improved Road Damage Detection Model Based on YOLOv8. Deyu Zhang, Qiankun Jin |
| 2025 | DSER-TTE: Driving Style Enhanced En Route Travel Time Estimation via Attentional Network. Yingzhuo Dong, Yuxin Wang, Jianing Sun |
| 2025 | DSF-Net: Dual-Path Spatial Attention Feature Fusion Network For Building Extraction From Remote Sensing Images. Changjiang Hu, Minxian Liu, Dong Li |
| 2025 | DSPA: Dual-Spiral Pyramid Network with Multi-scale Attention for Temporal Action Localization. Xuhong Li, Shuai Zhang, Haiyu Liu, Hexiong Yang, Keyan Ren |
| 2025 | DTCR: Enhanced Graph Diffusion Models Alignment by Policy Gradient Regularization. Hang Zhu, Yijing Liu, Li Zheng, Shi Liu, Wei Chen |
| 2025 | DTEM: A Dynamic Trust Evaluation Method Based on GAT and Enhanced GRU. Yuanhe Kuang, Dunhui Yu |
| 2025 | DYNAMAX: Dynamic computing for Transformers and Mamba based architectures. Miguel Nogales, Matteo Gambella, Manuel Roveri |
| 2025 | Data Collection Maximization with V-DQN in UAV-Assisted Wireless Sensor Networks: A Deep Reinforcement Learning Approach. Ru Jin, Rongheng Lin |
| 2025 | Data Driven Derivative-based Regularization for Regression. Enrico Lopedoto, Kizito Salako, Maksim Shekhunov, Vitaly Aksenov, Tillman Weyde |
| 2025 | Data Valuation Method Based on Federated Learning and Shapley Value. Yi Tan, Jintai Wang, Liang He |
| 2025 | Data-Driven Learning of Frequency Droop Curves for Critical Power System Infrastructure with Utility-Scale PV Plant. Ali Arzani, Ganesh K. Venayagamoorthy |
| 2025 | Data-Driven Modeling and Closed-Loop Control of Bead Geometry in Wire Arc Additive Manufacturing Marcel Mendes, Igor Novais, Fernando C. Lizarralde |
| 2025 | Data-driven Approach for Fatigue Assessment in Swimming Athletes. João P. Cardoso, Hugo Veríssimo, Petia Georgieva |
| 2025 | Data-efficient LLM Fine-tuning for Code Generation. Weijie Lv, Xuan Xia, Sheng-Jun Huang |
| 2025 | Data-free Black-box Knowledge Amalgamation. Jianzong Wang, Bin Zhang, Chendong Zhao, Xiaoyang Qu |
| 2025 | DeBUGCN - Detecting Backdoors in CNNs Using Graph Convolutional Networks. Akash Vartak, Khondoker Murad Hossain, Tim Oates |
| 2025 | Debiased Prompt Tuning for Vision-Language Models without Annotations. Chaoquan Jiang, Yunfan Yang, Rui Hu, Jitao Sang |
| 2025 | Debiasing Event Causality Identification in Large Language Models via Back-Door Adjustment. Mingrui Xie, Renda Han, Shengyin Yu |
| 2025 | Decentralized Multi-Agent Task Offloading in LEO Satellite Edge Computing. Juan Luo, Changyuan Ren, Ying Qiao, Kexuan Feng, Shuyang Teng, Fan Li |
| 2025 | Decision Evaluation Network driven by User Preferences and Dynamic Interests for Click-Through Rate Prediction. Gang Hua, Qing Xie, Yuhan Wang, Lin Li, Mengzi Tang, Yongjian Liu |
| 2025 | Decision Focused Forecasting for Smart Grid Energy Management Systems. Gianluca Ferro, Enrico De Santis, Antonino Capillo, Antonello Rizzi |
| 2025 | Decision-Making Algorithm Based on Multiple Context-Aware Agents for Human-Robot Interaction. Elio D. Triana R., Guilherme G. Zanetti, Ricardo C. de Mello, Mario F. Jiménez, Thiago Oliveira-Santos, Anselmo Frizera |
| 2025 | Decoding Brain Function: Mapping the Conceptual Structure of C. elegans' Sensorium. Emma Reyner-Fuentes, Carmen Peláez-Moreno, Francisco J. Valverde-Albacete |
| 2025 | Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases. Manari Hirose, Masato Uchida |
| 2025 | Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity. Shuchang Guo, Wenxuan Chen, Junbin Gao, Shilong Xu, Yuhan Li, Mingjia Liu, Jipeng Guo, Youqing Wang |
| 2025 | Decoupling Local and Cross-Regional Transmission Dynamics for Enhanced COVID-19 Forecasting. Jiaqiang Fei, Zhidong Cao, Tianyi Luo, Jiaojiao Wang |
| 2025 | Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data. Giuseppina Andresini, Annalisa Appice, Donato Malerba, Vito Recchia |
| 2025 | Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information. Tianyi Shi, Xiucai Ye, Tetsuya Sakurai |
| 2025 | Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine |
| 2025 | Deep Learning Based Captioning of Toys in a Smart Monitoring System. Kritika Jindal, Govind Agarwal, Abishi Chowdhury, Vishal Krishna Singh, Rahmat Ullah, Mujeeb Ur Rehman, Amrit Pal |
| 2025 | Deep Learning and Low-Discrepancy Sampling for Efficient Approximate Dynamic Programming. Cristiano Cervellera, Danilo Macciò |
| 2025 | Deep Multi-View Clustering via Enhanced Consistency and Specificity. Qixiong Long, Jinfeng Wang |
| 2025 | Deep Neural Networks with an Adaptive Runtime for Eye Tracking on Smart Glasses. Wolfgang Fuhl |
| 2025 | Deep Non-monotone Submodular Network: An Application to Conditional Video Summarization. Xiaowei Gu, Lu Lu |
| 2025 | Deep Quantization Retrieval of Audio Fingerprints Based on Double Contrast Learning. Weize Yue, Liang He |
| 2025 | Deep Reinforcement Learning for Autonomous Driving with Multiple Expert Demonstrations. Chenghao Wang, Miaodi Li, Muxiang Zhang, Min Zhang |
| 2025 | Deep Robust Data Reconstruction via Smoothed L1-Autoencoder and Layerwise Sparse Group Lasso. Junyang Zhang, Wen Yang, Di Ming |
| 2025 | Deep Scale-Recurrent Mamba for Weather-degraded Remote Sensing Image Restoration. Jiatao Shi, Xiaoyu Chen |
| 2025 | Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification. Qingfeng Shi, Jiaqiang Jiang, Huajin Tang, Rui Yan |
| 2025 | DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation. Yizhe Li, Linrui Zhang, Bo Xia, Xueqian Wang, Houde Liu |
| 2025 | Delving into Imbalance in Imbalance: Attribute Rebalancing for Generalizing Long-tailed Learning. Shuru Zhang, Pengkun Wang, Hao Zheng, Jason Zeng, Michael Heinrich, Ming Wu, Ji Qi |
| 2025 | Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition. Yanyan Liu, Minqiang Xu, Yihao Chen, Liang He, Lei Fang, Sian Fang, Lin Liu |
| 2025 | DenseCapVCR: Utilizing Dense Captions for Visual Commonsense Reasoning. Subham Das, C. Chandra Sekhar |
| 2025 | Dependent syntactic analysis of Mongolian based on semi-supervised self-training. Zhonghao Zhang, Jiajia Ma, Na Liu, Nier Wu, Yatu Ji, Guiping Liu |
| 2025 | DepthCNE: Contrastive Neighbor Embedding in Self-Supervised Learning for Point Clouds. Mingyu Liu, Zhijie Yang, Ekim Yurtsever, Yuning Cui, Alois Knoll |
| 2025 | Designing Competitive Ensembles for the Container Relocation Problem. Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala |
| 2025 | Designing Customized Lightweight Backbones for the Face Detection Task. Yogesh Aggarwal, Prithwijit Guha |
| 2025 | Designing LLM-powered agents to manage clinical text reports in medical institutions. Gianluca Carlini, Francesco Durazzi, Daniel Remondini, Raffaele Lodi |
| 2025 | Designing Stress Response Analyzer using Composite Cardiovascular Biomarkers. Daria Zahorska, Svetlana N. Yanushkevich, Ievgen Nastenko |
| 2025 | Detecting Codec-Based Deepfake Audio: A Multimodal Approach with Gated Cross-Attention and Sharpness-Aware Optimization. Jianqiao Cui, Fei Meng |
| 2025 | Detecting Community Structures in Directed Networks Based on Latent In-Out-Link Patterns. Cangfeng Ding, Ye Zhu, Bohao Cao, Kexin Chen |
| 2025 | Detecting Cross-domain Deepfake Videos with Contrastive Prototype Learning. Yi Li, Plamen Angelov |
| 2025 | Detecting Large Aspect Ratio Objects with Geometry-Aware in Remote Sensing Images. Pinqing Song, Yunuo Yang, Cheng Wang |
| 2025 | Detecting and Removing Adversarial Patches using Frequency Signatures. Dominic Simon, Chase Walker, Sumit Kumar Jha, Rickard Ewetz |
| 2025 | Detection of Driver Behavioral State Based on 1D CNN-BIGRU and Graph Signal Processing. Jintao Yu, He Liu, Tingwei Liang, Xiaowen Wang, Ke Meng |
| 2025 | Detection of Small UAV Objects with Density Information. Fangnan He, Wangshu Yao, Xiaofeng Jiang, Baile Liu |
| 2025 | DiCLIP: Integrating DINOv2 and CLIP for Zero-Shot and Few-Shot Anomaly Detection with Versatile Combination Prompts. Xinxu Cai, Lihang Sun, Zhenshen Qu, Jiazheng Xu |
| 2025 | DiTAGInt: A Diffusion-Based Transformer Network with Augmented-Graph Embedding Integration for Cross-Domain Sequential Recommendation. Ying Song, Bada Xin, Hongwei Wu, Fulian Li, Zhuojun Jiang, Rong Yang |
| 2025 | Diff-DETR: Differential Attention Transformer for Video Moment Retrieval and Highlight Detection. Peng Wang, Rui Meng, Bingqing Qu |
| 2025 | DiffGFormer: A Data Augmentation Recommender Model Using Diffusion and Graph Transformer. Kaiyan Song, Haocun Li, Ping Zhang, Haizheng Yu, Hong Bian |
| 2025 | DiffWR: Diffusion for Watermark Removal. Lingli Tang, Tian Qin, Yanchun Ma, Qing Xie, Anshu Hu, Wenbo Jiang |
| 2025 | Differential Privacy on Large Language Models for Privacy Preserving Clinical Coding. Ben Marshall, Sirui Li, Shiv Akarsh Meka, Wei Liu |
| 2025 | Differentially Private Diffusion Model for Graph Generation. Guanhong Zhang, Xiang Cheng, Ying Zhang, Sen Su |
| 2025 | Differentially Private FastSHAP for Federated Learning Model Explainability. Valerio Bonsignori, Luca Corbucci, Francesca Naretto, Anna Monreale |
| 2025 | DiffuER: Auxiliary Regularized Diffusion Model for Text Generation with Semantic Consistency. Miao Gao, Chuanqi Shi, Baixuan Li, Yikemaiti Sataer, Youyong Kong |
| 2025 | Diffusion Variational Generative Adversarial Model for Collaborative Filtering. Junqi Liu, Jinzhong Li, Xueyu Huang, Zhiqiang Huang |
| 2025 | Diffusion-Guided Domain-Adaptive Segmentation with Structure-Aware Learning via Retinal Image Noise Conditioning. Yibo Chen, Zihao Dong, Jinping Li, Runmin Cong, Xiuli Shao |
| 2025 | DiffusionHead:Dense crowd target head detection based on diffusion model. Yifeng Xu, Xingang Wang, Wenze Liu, Xiaohan Qi, Fengxin Du |
| 2025 | Digital Camera Representations for Forensic Identification. Jaroslaw Bernacki, Rafal Scherer |
| 2025 | Digital Twin-Based Deep Q-Learning Strategy for Smart Handover Optimization in 5G/6G Networks. Carlos Hidalgo-Luque, Rocío Pérez de Prado, Mohammad Shojafar, J. Enrique Muñoz Expósito, Chuan Heng Foh, Ángel Cifuentes |
| 2025 | Digital Twin-Based Methodology for Predictive Monitoring of Photovoltaic Systems: Integration of IoT, BIM, and GIS. Mario Casillo, Liliana Cecere, Francesco Colace, Angelo Lorusso, Domenico Santaniello, Carmine Valentino |
| 2025 | Digital intelligent beings. Wlodzislaw Duch |
| 2025 | Dilated Point Spatio-Temporal Mesh Transformer for mmWave Radar-Based Human Mesh Reconstruction. Lin Chen, Guoli Wang |
| 2025 | Direct-Modelling in Nuclear Fusion by Combining Data-Integration and Physics-Informed Neural Networks. Riccardo Rossi, Michela Gelfusa, Novella Rutigliano, Pasquale Gaudio, Andrea Murari |
| 2025 | Directed Perturbations for Efficient Learning of Surrogate Losses. Timothy Cargan, Dario Landa Silva, Isaac Triguero |
| 2025 | Direction of motion decoding in mouse V1: Neuron predictive power relates to functional connectivity organization. Mario Alexios Savaglio, Christina Brozi, Eleftheria Psilou, Chryssalenia Koumpouzi, Marianna Papadostefanaki, Christos Vasilakos, Spyros Nessis, Emmanouel Smyrnakis, Vasileios Akoutas, Georgios A. Keliris, Ganna Palagina, Stelios M. Smirnakis, Maria Papadopouli |
| 2025 | Direction-Oriented Edge Reconstruction Network for Camouflaged Object Detection. Xiaoxu Yang, Qing Zhang, Qiangqiang Zhou |
| 2025 | DisQu: Investigating the Impact of Disorder in Quantum Generative Models. Yannick Werner, Jasmin Frkatovic, Vítor Fortes Rey, Matthias Tschöpe, Sungho Suh, Paul Lukowicz, Nikolaos Palaiodimopoulos, Maximilian Kiefer-Emmanouilidis |
| 2025 | Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting. Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan |
| 2025 | Discourse Features Enhance Detection of Document-Level Machine-Generated Content. Yupei Li, Manuel Milling, Lucia Specia, Björn W. Schuller |
| 2025 | Discrete Feature Selection via Bi-Level Optimization for Hyperparameter Tuning. Chenchen Wang, Jun Wang, Yanfei Li, Jin-Mao Wei |
| 2025 | Discriminative Pruning Networks for Visual Tracking with Adaptive Foreground Prediction. Zheng Wang, Zhiyong Zhang |
| 2025 | Disentangled representations of microscopy images. Jacopo Dapueto, Vito Paolo Pastore, Nicoletta Noceti, Francesca Odone |
| 2025 | Disruptive Attacks on Face Swapping via Low-Frequency Perceptual Perturbations. Mengxiao Huang, Minglei Shu, Shuwang Zhou, Zhaoyang Liu |
| 2025 | Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets. Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel |
| 2025 | Distilling Calibration via Conformalized Credal Inference. Jiayi Huang, Sangwoo Park, Nicola Paoletti, Osvaldo Simeone |
| 2025 | Distributed Drones Marine Emergency Search And Rescue Framework based on Probability Prediction Deep Reinforcement Learning. Fengqi Li, Yan Dong, Xuefeng Du, Jiayu Jin, Ning Tong, Fengqiang Xu, Deguang Wang |
| 2025 | Distribution Features Based on Normalizing Flow for Anomaly Detection. Juntao Chen, Lu Wang |
| 2025 | Distribution and Knowledge Alignment-based Single-cell Multi-omics Cell Type Annotation. Sihan He, Yongqing Zhang, Zhengxiao Huang, Zixuan Wang, Yuhang Liu, Tianhao Li |
| 2025 | Distribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction. Youyi Huang, Honglong Chen, Junhui Kuang, Jianye Fu, Shubin Cai, Zhong Ming |
| 2025 | Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches. Shijie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jianqiang Yi |
| 2025 | Do Adversarial Perturbations Truly Mitigate Gradient Inversion in Federated Learning? Hui Zhou, Zheng Qin, Yipeng Zou, Xin Deng, Jiaxin Jiang, Ge Xiao, Hao Chen |
| 2025 | Do Point Cloud Models Learn Object Contour Features? Hanxiao Tan |
| 2025 | Domain Adaptation Using Adversarial Neural Network with Correlation Alignment Loss for Household Appliance Classification. Mohammed Ayub, El-Sayed M. El-Alfy |
| 2025 | Dream2Drive: A Large Language Model Powered Agent for Real World Multi-task Vehicle Motion Planning. Hongru Wang, Jun Wang |
| 2025 | Driving Cooperation in Federated Learning via Evolutionary Game Theory. Manuel Röder, Fabian Geiger, Frank-Michael Schleif |
| 2025 | Drone-UP: Drone-based Unauthorized Parking Detection Method for Edge-devices. Tarun Saini, Madhumita Guha, Sachin Kumar Bairwa, Vandita Dutt, Kajal Singh, Dinesh Singh |
| 2025 | Dual Adjacency Graph Convolutional Network Combined with Reinforcement Learning for Human Skeleton Action Recognition. Jiangfeng Xie, Juan Song, Yuhang Gu, Jun Guo, Zhicheng Sun |
| 2025 | Dual Augmentation Semi-Supervised Learning for Classification of Alzheimer's Disease and Mild Cognitive Impairment. Lei Shi, Huaqiu Chen, Chengming Liu, Yufei Gao |
| 2025 | Dual Boost-Driven Graph-Level Clustering Network. Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li |
| 2025 | Dual Graph Neural Networks for Optimizing Circuit Partitioning: A Synergistic Approach. A. Soroush, Shawki Areibi, Gary Gréwal, B. Yip |
| 2025 | Dual Representation Space Optimization for Multi-Label Text Classification. Binjie Sun, Xuejie Zhang, Jin Wang, Xiaobing Zhou |
| 2025 | Dual Stream Framework with Self-Correcting Memory for Semi-Supervised Video Object Segmentation. Chunlong Liu, Daoming Lu, Man Huang, Bo Li |
| 2025 | Dual teacher Dual student with Pixel Refinement for Weakly Supervised Semantic Segmentation. Shibo Chen, Jun Lu |
| 2025 | Dual-Channel Semantic and Syntactic Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. Kaixuan Sheng, Chengguo Lv, Jinfeng Guo |
| 2025 | Dual-Domain Discriminative Learning with Joint Consistency for Domain Adaptation. Zhenyang Ning, Shaohua Teng, Zefeng Zheng, Wei Zhang, Yihang Dong |
| 2025 | Dual-Domain Model for Enhanced Visual Grounding with Cross-Modal Interaction. Hai Nan, Chaoyue Li |
| 2025 | Dual-Path Collaborative Optimization Network for Continuous Sign Language Recognition. Cuihong Xue, Longcan Yuan, Tiantian Yuan, Xiaoyan Yang |
| 2025 | Dual-Spectral Neural Operator for Solving Partial Differential Equations. Jing Xiao, Xinhai Chen, Rui Xia, Jie Liu |
| 2025 | Dual-Strategy Knowledge-Semantics Guided Network for Video Captioning. Yingtian Qian, Bin Fang |
| 2025 | Dual-Stream Global-Local Feature Collaborative Representation Network for Scene Classification of Mining Area. Shuqi Fan, Haoyi Wang, Xianju Li |
| 2025 | Dual-channel Heterophilic Message Passing for Graph Fraud Detection. Wenxin Zhang, Jingxing Zhong, Guangzhen Yao, Renda Han, Xiaojian Lin, Lei Jiang, Zeyu Zhang, Cuicui Luo |
| 2025 | Dual-domain Collaboration Learning Network for Camouflaged Object Detection. Jingming Wang, Qing Zhang, Xinyi Zhao, Yanjiao Shi, Qiangqiang Zhou |
| 2025 | Dual-level Concept-aware Network for Video Captioning with Augmented Semantics. Sijia Lu, Yinsai Guo, Xue Chen, Liyan Ma |
| 2025 | DualMixer: An Efficient and Robust Model for Multivariate Time Series Forecasting. Zhenlong Zou, Jiyang Wang, Chen Shen |
| 2025 | DualScaleNet: A Self-Supervised Dual-Branch Contrastive Learning Framework for Enhanced Medical Image Segmentation. Ximeng Zhang, Shumao Wang, Song Guo |
| 2025 | DyFusion-YOLO: An Enhanced Model for Small Object Detection in Aerial Imagery. Xinyu Wang, Yude Wang, Teng Liu, Haoyu Guo, Yuanpei Wang, Fei Song |
| 2025 | DynaSketch: Abstracting Coherent Sketches for Dynamic Image Sequences. Jiakai Wu, Jun Xiao |
| 2025 | Dynamic Attention and Bi-directional Fusion for Safety Helmet Wearing Detection. Junwei Feng, Xueyan Fan, Yuyang Chen, Yi Li |
| 2025 | Dynamic Cognitive Bias: Hallucination and Forgetting in the Cognitive Dynamics of LLMs. Ziyi Ni, Sen Tang, Xuhao Guo, Liguo Sun, Pin Lv |
| 2025 | Dynamic Generative Adaptation for Data-Efficient GAN. Divya Saxena, Jiannong Cao, Tarun Kulshrestha, Yuqing Zhao |
| 2025 | Dynamic Graph Learning with Tensorized Lightweight Graph Convolutional Network. Minglian Han, Yuxin Fan, Ling Wang, Ye Yuan |
| 2025 | Dynamic Graph Neural Network with Motif Reconstruction. Zhiqiang Wang, Baijing Hu, Xingwang Zhao, Yajun Lin, Yuqi Wang |
| 2025 | Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics. Jie Yang, Yiqiu Tang, Yongjie Li, Lihua Zhang, Haoran Zhang |
| 2025 | Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation. Reuven Muller, Ying Xie, Linh Le, Shaoen Wu |
| 2025 | Dynamic Multi-Scale Spatial-Motion Feature Learning for Continuous Sign Language Recognition. Cuihong Xue, Xiaoyan Yang, Tiantian Yuan, Longcan Yuan |
| 2025 | Dynamic Multi-Scale Spatial-Temporal Feature Network for Traffic Flow Forecasting. Daming Liu, Chunlin Wang |
| 2025 | Dynamic Multi-Source Domain Transfer Learning for Robust Ultra-Short-Term Wind Power Forecasting with Echo State Networks. Cheng Xie, Xi Li, Jing Bi |
| 2025 | Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming. Ziyan Qin, Qinbing Fu, Jigen Peng, Shigang Yue |
| 2025 | Dynamic Polyhedral Heterogeneous Graph Learning for Stock Correlation Analysis. Weihong Wang, Qiyun You, Cheng Zhao |
| 2025 | Dynamic RDP-based Sampling for Faster Diffusion Models. Yongcheng Yin |
| 2025 | Dynamic Reservoir Computing with Physical Neuromorphic Networks. Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic |
| 2025 | Dynamic Scheduling of Airport Flights with Graph Neural Networks. Siyu Sun, Xinyi Zhou |
| 2025 | Dynamic Similarity Weighted Regression. Wenfang Xiang, Nannan Zong, Songzhi Su |
| 2025 | Dysarthric Speech Classification: A Comparative Analysis of Decision-Support Methods. Davide Lillini, Carlo Aironi, Lucia Migliorelli, Leonardo Gabrielli, Stefano Squartini |
| 2025 | E Jiacheng Xie, Yingrui Ji, Linghuan Zeng, Xi Xiao, Gaofei Chen, Lijing Zhu, Joyanta Jyoti Mondal, Jiansheng Chen |
| 2025 | E-BiGraphSAGE: Bipartite Graph Neural Networks for Network Intrusion Detection. Qinxin Zhao, Sheng Zhong |
| 2025 | EAS-YOLOv5: Enhancing YOLOv5's Attention on Small Objects via Large Objects. Yifan Li, Pei Zhou, Junlin Du, Jiangping Zhu |
| 2025 | ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting. Giacomo Rosin, Muhammad Rameez Ur Rahman, Sebastiano Vascon |
| 2025 | ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages. Zhoujie Qian |
| 2025 | ECoG-Based Movement Classification and Limbs 3D Translation Prediction : a Deep Learning Study. Quentin Ferdinand, Rémi Souriau, Lucas Struber, Henri Lorach, Philippe Ciuciu, Marina Reyboz, Tetiana Aksenova |
| 2025 | ECoGNet: an EEG-based Effective Connectivity Graph Neural Network for Brain Disorder Detection. Jacopo Burger, Vittorio Cuculo, Alessandro D'Amelio, Giuliano Grossi, Raffaella Lanzarotti |
| 2025 | EDGRNet: An Error Detection and Guided Refinement Network for Skin Lesion Segmentation. Wenxuan Li, Shaoyu Wang, Nuo Chen, Ran Lu, Xiujin Shi |
| 2025 | EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear. Andrea Aspesi, Andrea Simpsi, Aaron Tognoli, Simone Mentasti, Luca Merigo, Matteo Matteucci |
| 2025 | EFAMS-DETR: Multi-scale Infrared Target Detection with Feature Aggregation and Edge Enhancement for Low-altitude Remote Sensing. Licheng Yang, Yanfei Ye |
| 2025 | EFSNet: Efficient Frequency Selective Network for Hyperspectral Image Super-Resolution. Baisong Li, Xingwang Wang, Haixiao Xu |
| 2025 | EGReg: Accurate and Efficient Registration of 3D Gaussian Splatting with Epipolar Geometry. Tuoyu Jin, Shiqiang Long, Weimin Zhang, Hailong Jiao, Ge Li |
| 2025 | EHSF: Enhanced Hybrid Supervision Framework for surface-defect detection. Benying Tan, Beibei Ren, Jie Lin, Yujie Li, Xiao Qin, Shuxue Ding |
| 2025 | ELFSurf: Explicit Latent Fusion for Implicit Surface Reconstruction. Jijun Zhou, Zhuhua Yang, Lingyu Liang, Chi Zhang, Yutian Yang, Yong Xu |
| 2025 | EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts. Yucheng Han, Rui Wang, Chi Zhang, Juntao Hu, Pei Chen, Bin Fu, Hanwang Zhang |
| 2025 | EOOD: Entropy-based Out-of-distribution Detection. Guide Yang, Chao Hou, Weilong Peng, Xiang Fang, Yongwei Nie, Peican Zhu, Keke Tang |
| 2025 | EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification. Zhuodong Jiang, Pengju Zhang, Peter Martin |
| 2025 | EPLQ-UIE: Enhancing Pseudo Label Quality for Semi-Supervised Underwater Image Enhancement. Xiaopeng Liu, Pengwei Ma |
| 2025 | EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures. Khurram Khalil, Khaza Anuarul Hoque |
| 2025 | EROCNet: Multi-Scale Spectral Synergy for Resource-Efficient Retinal Optical Coherence Tomography Diagnosis. Tuersunjiang Baidi, Kurban Ubul |
| 2025 | ES-YOLO: Edge-Enhanced Infrared Small Target Detection for Low-Altitude UAV Remote Sensing. Licheng Yang, Yanfei Ye |
| 2025 | ESM2-Driven Protein-Protein Interaction Prediction with Global-Local Graph Topology Learning. Jingwen Liu, Tong Zhang |
| 2025 | ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models. Xin Tie, Ruishen Liu, Xiangfeng Luo, Shaorong Xie, Xinzhi Wang |
| 2025 | ESSTPNet: Enhancing Spatio-Temporal Forecasting with Deep Echo State Networks and Adaptive Multi-Scale Decoding. Lingyan Zhang, Genwei Zhang |
| 2025 | ETELTLf: A Recursive Embedding Approach for LTLf Satisfiability Checking in CPSs. Luxi Zhang, Yuxin Mei, Xu Han, Jing Liu |
| 2025 | ETRT-Net: Efficient Non-Local Transformer and Residual Triplet Attention for Breast Lesion Segmentation. Chun Wang, Jingxing Cao, Jianfeng Wang, Shaohui Liu |
| 2025 | Early Prediction Method for Remaining Useful Life of Lithium Batteries Based on GPR-SSA Model. Xunfei Cai, Tundong Liu, Xiaomin Wu, Ruoyu Wang |
| 2025 | Edge Attention Module for Object Classification. Santanu Roy, Ashvath Suresh, Prashant Adhikari, Archit Gupta |
| 2025 | Edge-Enabled Federated Learning for Predictive Energy Modeling in Multi-Building Systems. Faizan Hamayat, Haider Ali, Maha Driss, Jan Sher Khan |
| 2025 | Edge-Optimized Non-Intrusive Load Monitoring Using Dependency Graph-Based Structural Pruning. Sotirios Athanasoulias, Nikolaos Temenos, Ioannis Rallis, Nikolaos Bakalos, Nikolaos Doulamis |
| 2025 | Effect of Obfuscation on Human Pose Estimation Models: Can We Balance Privacy and Accuracy? Matteo Mugnai, Francesco Pistolesi, Beatrice Lazzerini |
| 2025 | Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data. Thiago César Castilho Almeida, Gustavo Rosseto Leticio, Lucas Pascotti Valem, André Freitas, Daniel Carlos Guimarães Pedronette |
| 2025 | Effective Intermediate Knowledge Distillation for Image Classification. Xun Zhou, Dan Liu |
| 2025 | Effective Spatiotemporal Feature Modulation Driven Multimodal Gait Recognition. Dongxu Li, Wei Wu |
| 2025 | Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity. Yuya Kobayashi, Yuhta Takida, Takashi Shibuya, Yuki Mitsufuji |
| 2025 | Efficiency-Optimized Point Cloud Upsampling with Single-Layer Graph Convolution Network. Yunrui Zhu, Zhiyong Zhang, Feng Xiao, Haoxiao Wang, Ruyu Liu, Xu Cheng, Jianhua Zhang |
| 2025 | Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering. Zhilin Zhang, Jie Wang, Zhanghao Qin, Ruiqi Zhu, Xiaoliang Gong |
| 2025 | Efficient CNN-Based Classification of NLOS/LOS Conditions Using CIR Features in Ultra-Wideband Networks. Nadir Bouzar, Luca De Nardis, Fouzia Elbahhar, Maria-Gabriella Di Benedetto |
| 2025 | Efficient Domain-Specific LLMs: Energy Profiling in Medical QA Tasks. Cesar Torres, Claudia I. González, Mario García, Juan Julián Merelo Guervós |
| 2025 | Efficient Encrypted Traffic Classification with Multiple Knowledge Distillation. Guozheng Yang, Ze Chen, Zijia Song |
| 2025 | Efficient Feature Fusion for UAV Object Detection. Xudong Wang, Yaxin Peng, Chaomin Shen |
| 2025 | Efficient Framework with Pruning and Factorization for Vision Transformer. Yipeng Chen, Ke Xu, Xiaojuan Ban, Jingyu Liu |
| 2025 | Efficient LLMs with AMP: Attention Heads and MLP Pruning. Leandro Giusti Mugnaini, Bruno Yamamoto, Lucas Lauton de Alcantara, Victor Zacarias, Edson Bollis, Lucas F. A. O. Pellicer, Anna Helena Reali Costa, Artur Jordão |
| 2025 | Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets. Muhao Guo, Haoran Li, Yang Weng |
| 2025 | Efficient Radio Frequency Fingerprint Identification Using Spiking Neural Networks with Spike-based Self-Attention Mechanism. Canghai Lin, Jingyue Zhao, Lei Wang |
| 2025 | Efficient Semi-Supervised 3D Medical Image Segmentation via Coarse Label Generation and Reorganization. Xinzhe Xu, Sunbo Xu, Quanquan Li |
| 2025 | Efficient Stem-Leaf Segmentation with a CDW Transformer: Reduced Memory and Enhanced Accuracy. Ronggeng Guo, Jing Wang, Yue Yang, Nan Geng |
| 2025 | Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Model. Genís Plaja-Roglans, Yun-Ning Hung, Xavier Serra, Igor Pereira |
| 2025 | Efficient and Secure Federated Learning with Ensemble of One-Layer Neural Networks. Abel Pampín-Rodríguez, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas |
| 2025 | Efficient on-chip cross-subject local field potential decoding for implantable neural interfaces. Arnau Marin-Llobet, Victoria Clerico, Samuel López Asunción, Arnau Manasanch, Irene Merino, Melody Torao-Angosto, Pablo Ituero, Maria V. Sanchez-Vives, Leonardo Dalla Porta |
| 2025 | Efficient ultrasonic data processing for crack detection in concrete structures. Pietro Burrascano, Francesco Medaglia, Stefano Laureti, Marco Ricci, Giovanni Angiulli, Mario Versaci |
| 2025 | Efficient-YOLO: Optimization of Safety Equipment Identification Algorithm for Substation staff. Daming Liu, Bohui Zhang |
| 2025 | EfficientAudioNet: Enhancing Environmental Sound Classification through Data Fusion of Multiple Audio Representations. Michele Scarpiniti, Saud Hussain, Wangyi Pu, Aurelio Uncini, Yong-Cheol Lee |
| 2025 | EfficientHuman: Efficient Training and Reconstruction of Moving Human using Articulated 2D Gaussian. Hao Tian, Rui Liu, Wen Shen, Yilong Hu, Zhihao Zheng, Xiaolin Qin |
| 2025 | Electric Power Grids Meet High-dimensional Statistics: a Short Survey. Mark Podolskij, Ganesh Kumar Venayagamoorthy |
| 2025 | Electricity Theft Detection Scheme Based on CNN-AE-LSTM Hybrid Model Against Evasion Attacks. Zhuoqun Xia, Xi Lin, Kaixin Zhou, Jingjing Tan |
| 2025 | Eliminating Retrieval Knowledge Conflicts: Cross-Validation Re-ranking with Large Language Models. Qirui Wu, Lin Hai, Hai-Tao Zheng, Ruobing Xie, Saiyong Yang, Xingwu Sun, Zhanhui Kang, Hong-Gee Kim |
| 2025 | Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs. Afsaneh Mahanipour, Hana Khamfroush |
| 2025 | EmoAssist: Emotional Assistant for Visual Impairment Community. Xingyu Qi, He Li, Linjie Li, Zhenyu Wu |
| 2025 | Emotion-Aware Text Generation for Instructing Audio-Visual Emotion Recognition. Lin Wei, Yuanyuan Liu, Kejun Liu, Yuxuan Huang, Shaoze Feng |
| 2025 | Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs. Samaneh Mohammadi, Iraklis Symeonidis, Ali Balador, Francesco Flammini |
| 2025 | Empowering LLMs with Parameterized Skills for Adversarial Long-Horizon Planning. Sijia Cui, Shuai Xu, Aiyao He, Yanna Wang, Bo Xu |
| 2025 | Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique |
| 2025 | Encrypted Traffic Classification with Graph Sketch-Based Traffic Representation. Sitong Yu, Ding Li, Yanxing Guo, Ruyu Xie, Yan Zhang |
| 2025 | End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction. Nilmadhab Das, Vishal Vaibhav, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand |
| 2025 | End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation. Anurag Tripathi, Vaibhav Patle, Abhinav Jain, Ayush Pundir, Sairam Menon, Ajeet Kumar Singh, Dorien Herremans |
| 2025 | End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation. Andrea Di Pierno, Luca Guarnera, Dario Allegra, Sebastiano Battiato |
| 2025 | EndoDUM: Unsupervised Endoscopic Depth Estimation with Uncertainty Mask. Ji Qi, Xuanxuan Liu, Shuai Tang, Yue Zhang, Minhao Liu, Lixin Duan |
| 2025 | Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing. Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rückert, Barbara Hammer |
| 2025 | Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach. Sourav Sanyal, Amogh Joshi, Manish Nagaraj, Rohan Kumar Manna, Kaushik Roy |
| 2025 | Enhance Object Detection via Instance Transformation Between Categories Using Diffusion Models. Haoyuan Ma, Jiangtao Ren |
| 2025 | Enhance the prior knowledge in Bayesian learning with semantic similarity for few-shot image classification. Jingyu Chen, Jiaying Wu, Can Gao, Zheng Huang, Zhaoman Zhong, Quan Gan |
| 2025 | Enhanced Biomedical Relation Extraction with Semantic and Descriptive Knowledge. Yuhan Liu, Liang He |
| 2025 | Enhanced Fracture Diagnosis Based on Critical Regional and Scale Aware in YOLO. Yuyang Sun, Junchuan Yu, Cuiming Zou |
| 2025 | Enhanced Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. Yoshinari Motokawa, Toshiharu Sugawara |
| 2025 | Enhanced Medical Visual Question Answering Using Multi-Feature Fusion and Similarity-Based Answer Selection. Fenghua Yu, Haiwei Pan, Kejia Zhang, Haoyu Sun |
| 2025 | Enhanced Multi-Class Classification and Triage of Security Alerts Using Contrastive Learning in Cloud Environment. Md Sazzad Hossen, Avimanyu Sahoo |
| 2025 | Enhanced Neural Architecture Search with Multi-Dimensional Curriculum Learning for Defect Detection. Yibo Yong, Lianbo Ma |
| 2025 | Enhanced Short-Term Precipitation Forecasting Using the Advanced TripFormer Measure. Tianjing Liu, Guojing Zhang, Xiaoying Wang, Yu Zhu, Li Wu, Qiao Meng |
| 2025 | Enhanced Temporal Graph Networks for Fraud Detection in Transactional Blockchain Networks. Jianbin Gao, Ansu Badjie, Qi Xia, Christopher Akwaboah, Isaac Amankona Obiri, Grace Mupoyi Ntuala |
| 2025 | Enhanced U-Net Models with Hybrid Attention Elements for Medical Image Segmentation. Piyushkumar Banugariya, Li Zhang, Yonghong Yu, Vivian Sedov |
| 2025 | Enhanced YOLOv7 for UAV Platforms: Achieving High Precision with Low Resource Utilization. Chenchen Sui, Jiancheng Zhang, Liuhui Jin, Quanli Lu, Jiyang Chen |
| 2025 | Enhanced YOLOv8 for Road Defect Detection in Complex Scenarios. Jun Hu, Yuan Jia |
| 2025 | Enhancement of Short-Term Memory with Tilted External Magnetic Field for Spin-Wave Reservoir Computing. Zhuocheng Yang, Jiaxuan Chen, Akira Hirose |
| 2025 | Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation. Antoun Yaacoub, Sansiri Tarnpradab, Phattara Khumprom, Zainab Assaghir, Lionel Prevost, Jérôme Da Rugna |
| 2025 | Enhancing Alzheimer's Disease Detection Using LLM-Generated Synthetic Data and Multi-Level Embeddings. Venkata Sai Bhargav Mutala, Seyedamin Pouriyeh, Reza M. Parizi, Chloe Yixin Xie, Alessandro Santopaolo, Ilaria Basile, Giovanna Sannino |
| 2025 | Enhancing Branching Policy Generalization through Self-Supervised Adversarial Instance Augmentation. Ce Zhang, Bin Zhang, Xinyue Lu, Guoliang Fan |
| 2025 | Enhancing Computational Design by integrating Visual Programming Language with Natural Language Processing Models. Laura Sardone |
| 2025 | Enhancing Drug Synergy Prediction via flexible Fusion of Multimodal Heterogeneous Data. Yugui Xu, Hao Yuan, Xinyu Mao, Zhigan Zhou, Yuhang Liu, Shuwen Xiong, Zixuan Wang, Yongqing Zhang |
| 2025 | Enhancing Fake News Detection by Incorporating Evidence Credibility. Yike Wu, Mengying Liu, Mingming Liu, Jiahao Sun, Yang Xiao, Mengting Hu |
| 2025 | Enhancing Fault Localization via Causal Measurement Features. Yunlong Li, Bo Cai, Hongyi Yang, Chengqing Cai, Yangbo Qiu, Tao Chen, Chen Zhang |
| 2025 | Enhancing Features in Long-tailed Data Using Large Vision Model. Pengxiao Han, Changkun Ye, Jinguang Tong, Cuicui Jiang, Jie Hong, Li Fang, Xuesong Li |
| 2025 | Enhancing Flash Flood Forecasting and Understanding Hydrosystem Dynamics for Small Urban Basins in the framework of Explainable Artificial Intelligence- Case Study of the Cadereau d'Alès, Nîmes. Youness Hrour, Guillaume Artigue, Anne Johannet |
| 2025 | Enhancing Image-Text Retrieval with Phrase-aware and Modality Difference-aware Embeddings. Meng Meng, Shifeng Zhang, Xiaofan Chen, Shifeng Chen, Xu Zhou |
| 2025 | Enhancing Interpretability of Convolutional Neural Networks with Dynamic Weighted Path Integral. Yongjie Liu, Wei Guo, Xinni Li, Xin Zhou, Xudong Lu |
| 2025 | Enhancing Intra-Modality Compactness in Text-to-Image Person ReID. Zhanghao Qin, Hongming Zhang, Zhilin Zhang, Tianyu Wang, Hongtao Mao, Guangzhen Yao |
| 2025 | Enhancing Knowledge Tracing with Residual GRU and k-Attention for Student Response Prediction. Yi Wang, Ke Xu, Yongqiang Zhang, Lu Zheng, Songfeng Lu, Jun Tie |
| 2025 | Enhancing Long-Tailed Recognition with Skill-specialized Experts and Bootstrap Latent Consistency. Jianfu Li, Yang Xue |
| 2025 | Enhancing Mandarin Lip Reading with a Multimodal Conformer and Structured State-Space Decoder. Meng Miao, Feilong Bao, Guanglai Gao |
| 2025 | Enhancing Multi-Object Tracking with Spatiotemporal Graph Convolution and Trajectory Recovery. Lijun Gao, Chaoyang Qiu |
| 2025 | Enhancing Neural Fictitious Self-Play for Symmetric Team Games: A Two-Stage Training Framework. Baofeng Zhang, Hao Liang, Zhijun Zhao, Hui Chang, Yang Gao |
| 2025 | Enhancing Node Classification on Graphs via Stepwise Diffusion Contrastive Learning. Junheng Zhang, Yutong Wang, Ren Cao, Minhao Zou, Siyang Leng, Chun Guan |
| 2025 | Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck. Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian Wang |
| 2025 | Enhancing Person Re-Identification with TF-SS: A Transformer Model based on Shifted Windows Division and Skipping Sub-Layer Techniques. Kun Lu, Yuqing Lan, Xinyan Lu |
| 2025 | Enhancing Rumor Detection via Multi-modal User Credibility Learning. Lingyun Xiang, YangJie Xiong, Hang Fu |
| 2025 | Enhancing Script Event Prediction Through Contrastive Fine-Tuning on Semantic Similarity. Jialiang Wu, Chunyang Ye, Yongji Sui |
| 2025 | Enhancing Secure Tree Training with Stacking Ensemble Method in Vertical Federated Learning on Non-IID Tabular Data. Jiahui Dai, Congcong Chen, Minyu Teng |
| 2025 | Enhancing Self-Supervised Speaker Verification Using Similarity-Connected Graphs and GCN. Zhaorui Sun, Yihao Chen, Jialong Wang, Minqiang Xu, Jianbo Zhan, Lei Fang, Sian Fang, Lin Liu |
| 2025 | Enhancing Semi-Supervised Medical Image Segmentation Through Unbiased Pseudo-Labeling and Student Diversity Maximization. Xiang Zeng, Guangxing Du, Jinming Xu, Shengwu Xiong |
| 2025 | Enhancing Sequential Recommendations with Sequence Diffusion Models for Long-Tail Users. Qiyue Wu, Jingyuan Feng, Fan Lin |
| 2025 | Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test. Zhengni Yang, Rui Yang, Weijian Han, Qixin Liu |
| 2025 | Enhancing Synthetic Image Realism with Controlled Diffusion Models. Iqra Nosheen, Muhammad Ali Farooq, Peter Corcoran, Cathy Ennis, Michael G. Madden |
| 2025 | Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning. Junqi Zeng, Zelin Yao, Pengyang Song, Jia Wu, Wenbin Hu |
| 2025 | Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles. Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier |
| 2025 | Enhancing Traffic Prediction Using Spatio-Temporal Convolutional Network with Multi-Periodic Input and Attention-based Scoring. Kunxiang Deng, Xinyu Zhang, Jiangnan Yan, Jun Li |
| 2025 | Enhancing Vector Data Quality through Negative Learning for Retrieval-augmented Large Models. Limei Yao, Kexin Ma, Ruochun Jin, Haoqi Zheng, Dong Wang |
| 2025 | Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense. Qiao Han, Yong Huang, Xinling Guo, Yiteng Zhai, Yu Qin, Yao Yang |
| 2025 | Enhancing the Explainability of Neuro-Fuzzy Systems with Large Language Models: A Case Study on EEG-Based Epileptic Seizure Classification. Gabriella Casalino, Giovanna Castellano, Alberto G. Valerio, Gennaro Vessio, Gianluca Zaza |
| 2025 | Enhancing the Undetectability of AI-Generated Text: A Semantics-Preserving Evasion Technique. Bei Luo |
| 2025 | Ensemble Broad Learning Approaches Applied to Modeling of Level Bearing Vibration in Vehicle. Luiz Eduardo Thomaz, Alan Lopes, Mateus Ferro Antunes de Oliveira, Leandro dos Santos Coelho, Viviana Cocco Mariani |
| 2025 | Ensemble Learning for Land Cover Classification: Advancing State-of-the-Art Performance on EuroSAT. Raymond Lee, Ethan Knapp |
| 2025 | Ensembles of Multi-scale Kernel Smoothers for Data Imputation. Amit Shreiber, Dalia Fishelov, Neta Rabin |
| 2025 | Equivariant Neural Networks with Geometric Algebras: A New Approach. Ekaterina Filimoshina, Dmitry Shirokov |
| 2025 | Ethics vs. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research. Tayo Obafemi-Ajayi, Tiffani J. Bright, Emily F. Wong, Donald Wunsch, Joan Peckham, Jason H. Moore |
| 2025 | Evaluating Robustness of Voice Conversion Systems under Multi-source Channel Interference. Qianniu Chen, Xiaodi Zhao, Zhehan Gu, Xiao Li, Li Lu |
| 2025 | Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-Tuning. Jia Liu, Jinguo Cheng, Xia Fang, Zhenyuan Ma, Yuankai Wu |
| 2025 | Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi |
| 2025 | Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types. Ziming Guo, Chao Ma, Yinggang Sun, Tiancheng Zhao, Guangyao Wang, Hai Huang |
| 2025 | Evaluation of Time-Series Training Dataset through Lens of Spectrum of Deep State Space Models. Sekitoshi Kanai, Yasutoshi Ida, Kazuki Adachi, Mihiro Uchida, Tsukasa Yoshida, Shin'ya Yamaguchi |
| 2025 | Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing. Yiming Bu, Simon Khan, Jiayang Liu, Qinru Qiu |
| 2025 | Event-Frame Temporal Information Fusion for Visual Object Tracking. Kaifan Hou, Yongqiang Ma, Jinjun Wang, Jiayong Zhong |
| 2025 | Every Hop Etched in Memory: Tokenized Graph Mamba Meets Directed Graph Learning. Lizhi Liu |
| 2025 | Evolutionary Algorithms for Enhanced Public Health Mapping. Gesiel Rios Lopes, Eric K. Tokuda, Alexandre C. B. Delbem, Roberto Fray da Silva, Karina J. Pelarigo, Mellina Yamamura, Cláudio B. Júnior, Sérgio Henrique Vannucchi Leme de Mattos, Denise Scatolini, Antonio Mauro Saraiva |
| 2025 | Evolutionary Multi-Task Feature Selection Algorithm Enhanced by Heterogeneous Auxiliary Tasks. Hao Li, Zefeng Chen, Yuren Zhou, Xiaoyun Xia |
| 2025 | Evolutionary Weight Optimization for Variational Quantum Classifiers. Matheus Hopper J. Costa, Fernando M. de Paula Neto |
| 2025 | Evolving Collective Robot Swarm Behavior in Neuromorphic Systems. Andrew Friend, Meghan Brandt, Luke McCombs, James S. Plank, Catherine D. Schuman |
| 2025 | Evolving Neuro-Fuzzy Systems in Federated Regression. Igor Skrjanc, Miha Ozbot |
| 2025 | ExpFormer: Cross-lingual One-shot Talking Head Generation via Enhanced 3D Expression Modeling. Kangwei Liu, Xiaowei Yi, Junwu Liu, Yun Cao |
| 2025 | ExpanQN: Enhancing Android Malware Detection with Dataset Expansion and Adversarial Robustness. Kumarakrishna Valeti, Siddhant Kulkarni, Hemant Rathore |
| 2025 | Expanding the View: A Frequency-Aware Network with Large Receptive Field for Super-Resolution. Dongliang Wang, Binbin Yan, Ziyi Huang, Lu Yang, Shuo Chen |
| 2025 | Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems. Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone |
| 2025 | Explainable Access Control Policies Classification through Large Language Models. Luca Petrillo, Fabio Martinelli, Antonella Santone, Francesco Mercaldo |
| 2025 | Explaining Deepfake Detectors to Enhance Generalization via Game-Theoretic Approaches. Weidong Zhao, Rongzuo Guo, Dixin Wang, Jiewei Li, Tianyuan Zhao |
| 2025 | Explaining Vision Transformers Through Similarity-based Graphs. Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili |
| 2025 | Exploiting Double Representation and Gated Multi-Head Cross-Attention for Polymers Properties Prediction. Paolo Sortino, Salvatore Contino, Fabio Villa, Luca Cruciata, Roberto Pirrone |
| 2025 | Exploiting Spatial-Temporal Joint Information from the Frequency Domain for Multivariate Time Series Forecasting. Jingyi Huo, Yuan Gao, Yuxin Chen, Fangru Lin, Ziniu Wang, Qian Zhu, Hui Yan |
| 2025 | Exploiting Synaptic Traces for Online Weight Adaptation in Spiking Autoencoder Networks. Enrico Catalfamo, Fabrizio De Vita, Rawan M. A. Nawaiseh, Dario Bruneo |
| 2025 | Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language. Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand |
| 2025 | Exploring Disentangled Appearance-Motion Contexts for Temporal Activity Localization. Huashuo Lei, Xiaowen Cai, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jixiang Yu, Keyan Jin |
| 2025 | Exploring Hierarchical Multi-modal Prompts Learning for HOI Detection via Hybrid Learning. Xiaoqian Han, Xiaowei Zhang |
| 2025 | Exploring Large Language Models for Knowledge Graph Completion with Auto-Prompting. Jia Zhu, Pasquale De Meo |
| 2025 | Exploring Linear Attention Alternative for Single Image Super-Resolution. Rongchang Lu, Changyu Li, Donghang Li, Guojing Zhang, Jianqiang Huang, Xilai Li |
| 2025 | Exploring Multi-aspect Information for Knowledge Graph Completion with Large Language Model. Linghui Wang, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu, Chuang Zhang |
| 2025 | Exploring Reconstructed AMR Graph for Generative Event Extraction. Junting Li, Zhongqing Wang, Peifeng Li |
| 2025 | Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments. Yifei Chen, Kunyu Peng, Alina Roitberg, David Schneider, Jiaming Zhang, Junwei Zheng, Yufan Chen, Ruiping Liu, Kailun Yang, Rainer Stiefelhagen |
| 2025 | Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon |
| 2025 | Exploring the Feasibility of End-to-End Large Language Model as a Compiler. Hongbin Zhang, Shihao Gao, Yang Liu, Mingjie Xing, Yanjun Wu, Chen Zhao |
| 2025 | Exploring the Potential and Boundaries of KAN in Encrypted Traffic Classification. Shituo Ma, Wei Xia, Zhen Li, Zhenzhen Li, Gang Xiong, Gaopeng Gou |
| 2025 | Exploring the Relation between Dataset Complexity and AutoML Fitness Landscape Metrics. Thiago Rodrigues de França, Ricardo B. C. Prudêncio, Péricles B. C. Miranda |
| 2025 | Exploring the Trade-Off between Model Complexity and Numerical Precision for Efficient Edge AI Inference. Yannick Malot, Thomas Mesquida |
| 2025 | External Knowledge-Guided Interaction-Aware Multimodal Rumor Detection. Yiming Jiang, Guoyong Cai, Yunxian Shang, Qinghua Liu |
| 2025 | Eye See What You See: Query-Oriented Gaze Following. Zihao He, Jingyuan Xu, Ruijie Liu, Feiyang Liu, Feng Xue, Dan Guo |
| 2025 | EyeTransGAN: End-to-End Generation of Corneal Fluorescein Staining Images from Anterior Segment Photography with Unsupervised Semantic Consistency. Xin Long, Xinrui Liu, Weifeng Zhang, Zeyu Zhang, Shuangjun Wu, Fan Gan, Lei Chen, Qiegen Liu |
| 2025 | FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging. Ali Alawieh, Alexandru Paul Condurache |
| 2025 | FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modules. Yukang Huo, Mingyuan Yao, Qingbin Tian, Shulong Zhang, Jiayin Zhao, Xiao Liu, Haihua Wang |
| 2025 | FADD-Net:Multimodal Sentiment Analysis Based on Feature Alignment and Differential Decoupling. Jixu Zhang, Shunxiang Zhang, Jiajia Liu, Hua Wen, Yulei Zhang, Meng Chen |
| 2025 | FAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention. Liangyu Fu, Xuecheng Wu, Danlei Huang, Xinyi Yin |
| 2025 | FANet: Polyp Segmentation Based on Feature Aggregation Network. Yulong Bai, Xiuhong Li, Kuan Wang, Songlin Li, Haodong Zeng |
| 2025 | FAformer: Exploring Frequency and Attention in Transformers for Long-Term Time Series Forecasting. Jiawei Gu, Dingxin Cheng, Qiang Guo, Bin Jiang, Wenyu Wang, Meixia Qu |
| 2025 | FBD: Fact-Based Debating for Fact Verification through Large Language Models. Mufan Yu, Guozheng Rao, Xin Wang, Li Zhang, Kaijia Tian, Jiayin Zhang |
| 2025 | FBI-Net: Foreground and Background Isolate Knowledge Distillation Network for Surface Defect Detection. Xuan Yang, Xinzhi Lin, Yuzheng Wang, Yunquan Sun, Lizhe Qi |
| 2025 | FD-GAN: A Dual-Domain Approach with Fourier Domain Discriminators for Denoising Low-Dose CT Images. Jiashu Li, Yixuan Mi, Moyang Chen, Kuan Huang, Gaurav Gupta, Guanchao Tong |
| 2025 | FDAFusion: A Joint Frequency Decomposition and Adaptive Fusion Network for Nighttime Infrared and Visible Image Fusion. Kening Cui, Jinyong Cheng, Yan Pan |
| 2025 | FDENet: Improving CTR Prediction via Feature Dynamic Enhancement. Zilong Jiang, Meiyi Wang, Xiang Zuo, Yongping Wang, Wei Deng, Xiuzhang Yang |
| 2025 | FDSI-RTDETR : A Lightweight Unmanned Aerial Vehicle (UAV) Aerial Image Small Object Detection Network. Tianyu Guo, Qingzeng Song, Yongjiang Xue, Fei Qiao |
| 2025 | FDTest: Prioritizing Test Inputs for Object Detection Models via Foundation Model Exploitation. Chong Zhang, Qiuxia Lai, Yu Li |
| 2025 | FEMA: Emotion-Driven Personification in Generative Agents. Sihan Shao, Xinshan Qin, Shuangjin Wu, Guanhua Lin, Yu Zhang, Lizhe Chen |
| 2025 | FGNet: Feature Calibration and Guidance Refinement for Camouflaged Object Detection. Qiang Yu, Qing Zhang, Yanjiao Shi, Qiangqiang Zhou |
| 2025 | FINE: LLM Prompt Tuning Fused with Internal and External Knowledge for EAE. Xin Guo, Le Zhang, Qian Chen, Suge Wang, Jian Liao, Jianxing Zheng |
| 2025 | FLEX-YOLO: A Feedback-Driven Lightweight and Enhanced Exchange Network for UAV Aerial Images. Ning Ding, Xinwei Li, Jiamin Ma, Ruohong Huan, Xiaomin Zhao |
| 2025 | FLIP: Adaptive Comparison Method Selection for Efficient Preference-Based Reinforcement Learning. Ziang Liu, Xingjiao Wu, Hongxin Chen, Luwei Xiao, Jing Yang |
| 2025 | FLinear : A Lightweight Model for Multivariate Time Series Forecasting with Multi-feature Decomposition. Liwei Dai, Jiong Yu |
| 2025 | FM-EVT:Feedforward Neural Network and Multilayer Perceptron Classifier Enhanced Event Transformer. Yudan Liu, Li Su, Lei Zhang |
| 2025 | FMR-DBv2: an Improved Database for Mask and Respirator Type and FFP Protection Level Recognition Through Deep Learning. Antonio Costantino Marceddu, Nicola Dilillo, Luigi Di Sergio, Pietro Ruiu, Andrea Lagorio, Filippo Casu, Enrico Grosso, Renato Ferrero, Bartolomeo Montrucchio |
| 2025 | FMS-Net: Fine-Grained Multimodal Sentiment Graph Network for Rumor Detection. Hongbo Yang, Jinghong Wang, Li Yanan, Haokang Li |
| 2025 | FOCA: Foundation-model-based One-Class Anomaly Detection for Time Series. Mengyuan Ma, Tiejun Wang, Rui Wang, Xudong Mou, Tianyu Wo, Xudong Liu |
| 2025 | FPCRL: Feature Projection and Contrastive Representation Learning for End-to-End Speech Translation. Jiale Ou, Hongying Zan |
| 2025 | FPE-Net: Face Privacy-Enhancing Method Using Biometric Encryption. Donghua Jiang, Jiangqun Ni, Qingliang Liu, Jawad Ahmad, Wadii Boulila |
| 2025 | FPGA Based In-Situ CNN Transfer Learning of Wireless Signal Modulation for In-Orbit Deployment. Chris Yakopcic, Tarek M. Taha, Yangjie Qi, Shuo Zhang, Sanjeevi Sirisha Karri, Guru Subramanyam, Aaron D. Smith, Janette Briones |
| 2025 | FSBridge: Bridging Federated and Split Learning for Next-Generation Edge AI. Tran Anh Khoa, Minh-Son Dao, Koji Zettsu |
| 2025 | FSC-MOT: Fusion and Shake Compensation for Robust Multi-Object Tracking. Yangrui Fan, Ziyi Wang, Ben Ye |
| 2025 | FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images. Zhuohao Li, Zhicheng Huang, Wenchao Liu, Zhuxing Zhang, Jianming Miao |
| 2025 | FTC-Net: Fourier Transform Convolution for Multivariate Time Series Classification in Human Activity Recognition. Jingchao Xie, Yang Wu, Wei Li, Ming-Hsuan Yang, Rui Hou, Yahong Li |
| 2025 | Face Forgery Detection Attack via Hybrid Perturbation with Dual Mask. Zixiang Wu, Dongming Zhang, Jing Zhang, Zijie Yang |
| 2025 | FactorArmor: A Hierarchical Dual-Factor Framework with Attack Resilience for Face Forgery Detection. Wenzheng Liu, Shicheng Fang, Jie Hu, Qianqian Xing, Xiaofeng Wang |
| 2025 | Fair Post-Pruning Decision Tree. Hui Zhang, Qingsong Yang, Tao Wu |
| 2025 | Fair and Efficient Federated Learning Client Selection via Dynamic Contribution Evaluation. Zhengnan Zhang, Shmuel S. Tyszberowicz, Zhiming Liu, Bo Liu |
| 2025 | Fake News Detection Based on Cross-Semantic Multimodal Data Fusion. Ruxin Wang, Ke Ji, Yuan Gao, Kun Ma, Chong Ma, Xiaofan Zhao |
| 2025 | Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation. Fulvio Sanguigni, Davide Morelli, Marcella Cornia, Rita Cucchiara |
| 2025 | Fast Adversarial Training with Neighborhood Diversity Alignment. Hongxin Zhi, Hongtao Yu, Shaomei Li |
| 2025 | Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection. Gabriele Greco, Carlo Cena, Umberto Albertin, Mauro Martini, Marcello Chiaberge |
| 2025 | Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection. Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu |
| 2025 | Feature Selection Method for Intrusion Detection System Based on Enhanced Hybrid Genetic Algorithm. Wenhong Wei, Lu Chen, Qingxia Li |
| 2025 | Fed-CLIDS: Network intrusion detection system based on federated meta-continuous learning. Shumian Yang, Guoqing Lou, Lijuan Xu, Dawei Zhao |
| 2025 | Fed-DSMOTE: A Federated Learning Approach for Intrusion Detection in Resource-Constrained Internet of Things. Haoran Li, Lixing Chen, Zhenzhou Tang |
| 2025 | Fed-SMTDA: A Novel Framework for Federated Source-Free Multi-Target Domain Adaptation Using Feature Clustering and Adaptive Aggregation. Challapalli Phanindra Revanth, Sumohana S. Channappayya, C. Krishna Mohan |
| 2025 | FedAFW:Adaptive Feature-Driven Weighting Based Personalized Federated Learning. Wenzheng Liu, Jing Xu, Cheng Fu, Ronghui Cao, Xiaoyong Tang, Xiaofeng Wang, Hanjing Li, Tan Deng, Mingfeng Huang, Qianqian Xin |
| 2025 | FedAdap: An Adaptive Federated Knowledge Graph Embedding Framework for Tackling KGs Heterogeneity via Partial Model Sharing. Zihao Zheng, Borui Cai, Yong Xiang, Keshav Sood |
| 2025 | FedCSG - a Novel Federated Continual Graph Learning Framework for Resource-limited Devices. Hanyue Xu, Kah Phooi Seng, Jieli Chen, Li-Minn Ang, Jeremy Smith |
| 2025 | FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning. Rakibul Hasan Rajib, Md. Akil Raihan Iftee, Mir Sazzat Hossain, A. K. M. Mahbubur Rahman, Sajib Mistry, M. Ashraful Amin, Amin Ahsan Ali |
| 2025 | FedDefense: An Integrated Robust Defense Against Backdoor Attacks in Federated Learning. Xin Chen |
| 2025 | FedFAS: Federated Few-shot Abdominal Organs Segmentation across Heterogeneous Clients. Yi Zhang, Junpeng Wu, Meng Zhao, Xu Cheng, Yao Zhang, Fan Shi |
| 2025 | FedHG: Generator-Driven Head Adaptive Aggregation for Personalized Federated Learning. MingKai Hu, Ping Zhang, Hesheng Zhang, Yijing Xie, Nan Zhang |
| 2025 | FedLCA: Federated Personalization Using Legacy Classifier Layer Aggregation. Haiyang Ji, Chaochao Sun, Yuan Peng, Shuaiqi Leng, Zhouyao Gu |
| 2025 | FedLCR: An Enhanced Personalized Federated Learning Method For Mitigating Intra-Client Inconsistency. Chunxiang Xiang, Jiahui Chen, Huiwu Huang |
| 2025 | FedPTR: Enhancing Federated Prompt Learning with Server-Side Retraining for Non-IID Data. Yufeng Chen, Min Liu, Sheng Sun, Zhongcheng Li |
| 2025 | FedSA: A Novel Heterogeneous Federated Learning Method Combining Structural Optimization and Client Aggregation. Tao Yang, Xuwei Fan, Bailin Yang |
| 2025 | FedSDA: Enhancing Federated Learning with Client-Specific Data Augmentation. Zhiyu Zuo, Hongliang Zhang, Anming Dong, Yubing Han, Jiguo Yu |
| 2025 | FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning. Haixin Gao, Mingjia Shi, Yuhao Zhou, Deng Xiong, Qing Ye, Jiancheng Lv |
| 2025 | FedSIT: Efficient Federated Fine-Tuning with Model Splitting and Importance-Based Tuning. Xinyu Gu, Xinghua Sun, Chenyuan Feng, Xijun Wang, Xiang Chen |
| 2025 | FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation. Liwen Liang, Jiyuan Feng, Lingzhi Wang, Qing Liao |
| 2025 | Federated Adaptive Contrastive Prototype Learning for Heterogeneous Settings on Large-scale Data. Tingting Leng, Man Zhao, Li Zou, Jun Zhou |
| 2025 | Federated Distillation Meets Correlation-Based Pruning: Improving Accuracy under Differential Privacy. Xiaoyan Zhang, Xiangyu Bai |
| 2025 | Federated Learning with Patient-Annotated Data in Epileptic Seizure Detection. Amin Aminifar, Jonathan Dan, David Atienza |
| 2025 | Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection. Keigo Nogami, Hiroto Tamura, Gouhei Tanaka |
| 2025 | Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di |
| 2025 | Federated Meta Learning for Cross-Domain Personalization with Partial Model Initialization. Ayshika Kapoor, Dheeraj Kumar |
| 2025 | Federated Prompt Tuning for News Framing: A Community-Aware Approach to Narrative Exploitability. Maria di Gisi, Giuseppe Fenza, Domenico Furno, Mariacristina Gallo, Vincenzo Loia, Pio Pasquale Trotta |
| 2025 | Federated Transformed Sampling Comparison for Multi-client Missing Value Imputation. Duyu Chen, Haozhao Wang, Zhiwei Chen, Ruixuan Li |
| 2025 | Federated Unlearning in Healthcare: Why It Matters. Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista |
| 2025 | Federated Unlearning with Oriented Saliency Compression. Boxu Xiao, Sijia Liu, Qing Ling |
| 2025 | Few-Shot High-Dimensional Feature Selection with Lagrange Programming Neural Networks. Nourane Fradi, Jérémie Cabessa, Anis Zeglaoui |
| 2025 | Few-Shot Knowledge Graph Entity Typing with Enhanced Neighbor. Chongchong Xue, Lianglun Cheng |
| 2025 | Few-Shot Medical Image Segmentation via Multi-Prototype Synergy. Bingjian Wang, Ke Xie, Shanmei Liu, Hui Peng |
| 2025 | Few-shot Anomaly Detection Based on Diffusion Generation Model and Multi-scale Feature Manipulation. Shu Zhao, Ao liu, Dingjun Qu, Shenghui Zhao |
| 2025 | Few-shot Object Detection for Remote Sensing Images with Multi-scale Enhancement Fusion and Direction-aware Attention-RPN. Fuping Yang, Yuru Zhong, Zhiqing Zhang, Xu Zhang |
| 2025 | Filtering Before Detection: Objects of Interest Enhanced Anomaly Detection for Surveillance. Peng He, Boqiang Xu |
| 2025 | FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation. Brian Godwin Lim, Jiahong Liu, Hans Jarett J. Ong, Jan Adrian Chan, Renzo Roel Tan, Irwin King, Kazushi Ikeda |
| 2025 | FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities. Himanshu Choudhary, Arishi Orra, Manoj Thakur |
| 2025 | Fine Grained Urban Grids Clustering of Mobile Phone Metadata with Deep Spatial Temporal Clustering. Zhaobo Hu, Vincent Gauthier, Chuan Li, Hassine Moungla |
| 2025 | Fine-Grained Meta-Learning with Semantic Augmentation for SAR Change Detection. Rongfang Wang, Chenyu Liu, Libin Sun, Liang Wang, Vireak Dara Ly, Changzhe Jiao |
| 2025 | Fine-Grained Visual Classification Method Based on Semantically Guided Key Region Localization. Yueran Zhu, Yu Yang, Linna Zhou, Min Lei, Gang Wang |
| 2025 | Fine-Scale Population Estimation Using a Variational Autoencoder-Based Approach Integrating Geospatial Data. Issa Nasralli, Imen Masmoudi, Hassen Drira, Mohamed Ali Hadj Taieb |
| 2025 | Fine-grained Voice Customization via Intensity Guided Latent Space Exploration. Kwan Yeung Wong, Fu-Lai Chung |
| 2025 | FlexFFN: Hierarchical Dynamic Selection of Feedforward Networks for Large Language Models. Miaobo Hu, Bokun Wang, Haoyuan Teng, Hongyu Yao, Daren Zha, Xin Wang, Jun Xiao, Lei Wang |
| 2025 | Flexible Source-free Domain Generalization via Domain Prompt-Discriminator Collaborative Learning. Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima |
| 2025 | Flight Delay Prediction with a Spatiotemporal Cross-Attention Large Language Model. Jianli Ding, Yixiang Peng |
| 2025 | FocusNet: A New Data-driven SAR Image Autofocus Method. Yifei Fan, Shuang Li, Ganggang Dong |
| 2025 | FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders. Riccardo F. Gramaccioni, Christian Marinoni, Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello |
| 2025 | ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis. Jingyun Sun, Zhongze Luo |
| 2025 | Force of Attraction-Based Distribution Calibration for Enhancing Minority Class Representation. Priyobrata Mondal, Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali |
| 2025 | Foreground-Aware Enhancement-Based Multimodal 3D Object Detection. Ziyang Peng, Wei He, Jianxu Mao, Ziming Tao, Junfei Yi, Yaonan Wang |
| 2025 | Foundation Models for Hepatocellular Carcinoma: Challenges in Generalization under Data Scarcity. Giulia Corso, Marta Lovino, Reha Akpinar, Luca Di Tommaso, Elisa Ficarra, Marta Ranzini |
| 2025 | Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities. Xi Li, Chen Wu, Jiaqi Wang |
| 2025 | Fragile Watermarking for Image Certification Using Deep Steganographic Embedding. Davide Ghiani, Jefferson David Rodriguez Chivata, Stefano Lilliu, Simone Maurizio La Cava, Marco Micheletto, Giulia Orrù, Federico Lama, Gian Luca Marcialis |
| 2025 | Frame-Skeleton: A Dual-Stream Network for Action Events Sequence Spotting. Tingyu Xie, Bo Zhang, Wufan Wang, Xirong Que, Wendong Wang |
| 2025 | FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon, Guillaume Couairon, Franco Scarselli, Matthieu Cord |
| 2025 | Frequency SSL: An Explainable Method for Diffusion Facial Forgery Detection. Chunbo Zhu, Yuhao Wang, Yuanye Mo, Yulin Jin |
| 2025 | Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias. Lorenzo Basile, Nikos Karantzas, Alberto d'Onofrio, Luca Manzoni, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi |
| 2025 | Frequency-Aware Contrastive Loss for Self-Supervised EEG Seizure Detection. Kristina Stemikovskaya, Diana Manjarres, Isaac Triguero |
| 2025 | Frequency-Spatial Domain Fusion for Graph Anomaly Detection. Senbao Hou, Enguang Zuo, Wenyan Wang, Ruiting Wang, Xiaoyi Lv |
| 2025 | From Coarse to Fine: A Two-Stage Lexically Constrained Translation Method Based on Multi-Task Learning. Na Ye, Yuxuan Xia, Guiping Zhang, Guiyang Ji |
| 2025 | From Code Changes to Performance Variations: A Predictive Approach for Microbenchmark Prioritization. Long Zhang, Jie Chen, Dongjin Yu, Yingling Li, Hengyu Chen |
| 2025 | From Echo Distillation to Chat-Driven: A Multi-Task VLM is OK for Object Detection and Fine-Grained Classification in Remote Sensing Images. Liuqian Wang, Jing Zhang, Guangming Mi, Li Zhuo |
| 2025 | From Metaphor to Mechanism: How LLMs Decode Traditional Chinese Medicine Symbolic Language for Modern Clinical Relevance. Jiacheng Tang, Nankai Wu, Fan Gao, Chengxiao Dai, Mengyao Zhao, Xinjie Zhao |
| 2025 | Frontal Alpha Asymmetry as an Index of Willingness to Interact with Virtual Agents in Users with Depressive Symptoms. Rosa Milo, Terry Amorese, Marialucia Cuciniello, Antonio Perna, Gennaro Cordasco, Anna Esposito |
| 2025 | Fulcrum Rebalancing and Hybrid Classification for Multi-Class Multi-Labeled ECG. Ayan Mukherjee, Varsha Sharma, Anirban Dutta Choudhury, Chirayata Bhattacharyya, Aniruddha Sinha |
| 2025 | Fuzzy Knowledge-Driven Human-in-the-Loop Learning for Autonomous Driving. Yiming Zeng, Yin Xu, Xichong Zhang, Xiao Huang, Mingjun Xiao |
| 2025 | Fuzzy-Based Ensemble Method for Robust Concept Drift Detection in Multivariate Time Series. Lucas Giusti Tavares, Janio Lima, Matheus Melo, Chao Chen, Jon Garibaldi, Gabriel dos Santos Scatena, Anna Helena Reali Costa, Edson Satoshi Gomi, Rebecca Salles, Esther Pacitti, Ismael H. F. dos Santos, Isabela Guimarães Siqueira, Diego Carvalho, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara |
| 2025 | G2S: A Greedy Node Swapping Algorithm to Compute Upper Bound Graph Edit Distance. Yilei He, Jiansu Pu, Derui Zhong, Dejing Ke, Jinyue Huang, Yanlin Zhu |
| 2025 | GA-LoftQ: Gradient-Aware Alternating Least Squares Framework for LoRA Fine-Tuning Quantization. Jiaxun Xu, Jiachen Dang, Bo Peng |
| 2025 | GAC-DETR: A Transformer-Based Model for Small Target Detection in UAV Imagery. Haiyang Gu, Yuan Jia, Jun Hu, Yue Tang, Huihui Yang |
| 2025 | GAFE: Enhancing Fraud Detection Performance in Multi-Relational Heterogeneous Graphs through Grouping Aggregation and Feature Extraction. Desen Yang, Qingming Zhang, Jian Gou, Peidong Chen |
| 2025 | GASGM-GFT: Gaussian Attenuation Singing Graph Model and Graph Fourier Transform for Singing Voice Deepfake Detection. Bingxiang Wu, Qing Qian, Longwen Ran, Huan Wang |
| 2025 | GATSY: Graph Attention Network for Music Artist Similarity. Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello |
| 2025 | GCGP-YOLO: Global-Local and Channel Grouping Perception Network for Small Object Detection based on YOLOv8. Jinsheng Liu, Tao Yan, Xianglong Chen, Zhineng Zhang, Chenglong Wang, Weilong Huang |
| 2025 | GCL-CCSE: Empowering Graph Constrastive Learning with Consolidated Community and Subgraph Essentials. Dongqi Wang, Meiwen Tan, Zhicheng Gao, Tianqi Du, Dongming Chen |
| 2025 | GCL-Vid: Efficient Video Foundation Model via Generative and Contrastive Encoding with LLMs. Wanjing Xie, Lingyan Zhang |
| 2025 | GETN: A Graph-Based EEG Transformer Network for Driver Takeover Reliability Assessment in Conditionally Automated Driving. Xinzhi Zhao, Yifan Wang, Alkilane Khaled, Shixiao Wang, Zhiwu Dong, Der-Horng Lee |
| 2025 | GExSent: Gated Experts for Robust Sentiment Analysis Across Modalities. Subhanshu Sethi, Divij Saini, Sarthak Singh, Chhavi Dhiman, Bharat Bhushan |
| 2025 | GGANet: A Geometry-Enhanced Gated Attention Network for Drug-Target Interaction Prediction. Hong Luo, Yongqing Zhang |
| 2025 | GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effects. Chengguang Gan, Qinghao Zhang, Tatsunori Mori |
| 2025 | GLFormer: A Lightweight Vision Transformer for Balancing Global and Local Information. Zezhou Wang, Yi Wang, Wei Zhang, Yuping Yuan, Suyang Chen, Guangzhen Yao, Chengze Du, Renda Han, Bobin Xie, Sandong Zhu, Long Zhang |
| 2025 | GLFormer: Efficient HRFormer for Animal Pose Estimation with Global and Local Attention. Ziyang Rong, Ge Wang, Sunan Xiang, Bo Huang, Yi Wang, Jin Liu, Fuchuan Ni, Guoliang Li |
| 2025 | GLoSyformer: Global-Local Synergistic Enhanced Transformer for Multivariate Time Series Forecasting. Jiafu Zhao, Jing Zhang, Dongmei Niu, Tongzheng Zhu, Chenghao Zhang, Junzheng Yang |
| 2025 | GMCWare: A Greedy Modularity Community-based Simplification Algorithm for Malware Detection. Xingyuan Wei, Zijun Cheng, Ning Li, Congying Liu, Yan Wang, Degang Sun |
| 2025 | GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning. S. M. Taslim Uddin Raju, Md. Milon Islam, Md. Rezwanul Haque, Hamdi Altaheri, Fakhri Karray |
| 2025 | GPFEnet: a lightweight grid parallel feature extraction net for 3D segmentation in agriculture. Wenjing Zhang, Qinghe Liu, Huijun Yang, Yufeng Fan |
| 2025 | GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs. Kun-Woo Kim, Ji-Hoon Park, Ju-Min Han, Seong-Whan Lee |
| 2025 | GTDFM: A Hybrid Model for QoS Prediction Using Geographical and Textual Features. Yehong Zeng, Ruimin Lv |
| 2025 | GaitSE: Gait Recognition with Enhanced Spatial Extraction Capability. Kewen Dong, Zijun Zhao, Jiayi Zhang |
| 2025 | GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition. Yawen Yang, Fukun Ma, Shiao Meng, Aiwei Liu, Li-jie Wen |
| 2025 | Gaussian Function-Based Fuzzy Min-Max Neural Network. Yani Xue, Hongyun Ning, Honghao Zhang |
| 2025 | Gaussian Splatting-based Scene Reconstruction with Adaptive Sampling and Region-based Rendering. Ming Ye, Takahiko Furuya, Zhenzhong Kuang, Xiaoling Gu, Jiajun Ding |
| 2025 | GeNGuide: Generalized Neighbour Guidance Framework for Noisy Class Incremental Learning. Avnish Kumar, Jayateja Kalla, Soma Biswas |
| 2025 | GenCNER: A Generative Framework for Continual Named Entity Recognition. Yawen Yang, Fukun Ma, Shiao Meng, Aiwei Liu, Li-jie Wen |
| 2025 | Generalization-Aware Zero-Shot Neural Architecture Search for Self-Supervised Transformers. Jun-Hua Ko, Tzi-Dar Chiueh |
| 2025 | Generative Reconstruction Model for Trajectory Anomaly Detection and Virtual Traffic Flow Authenticity Evaluation. Chaoneng Li, Xiaolong Wang, Ze Ye, Ji Ye, Siyuan Chen, Shuxu Zhao |
| 2025 | Generative System Dynamics in Recurrent Neural Networks. Michele Casoni, Tommaso Guidi, Alessandro Betti, Stefano Melacci, Marco Gori |
| 2025 | Genetic Predictors of Social and Cognitive Outcomes in People with Ultra-High-Risk of Psychosis Using Spiking Neural Networks. Zohreh Doborjeh, Balkaran Singh, Alexander Sumich, Maryam Doborjeh, Wilson Wen Bin Goh, Nikola K. Kasabov |
| 2025 | Geometric Deep Learning for Essential Tremor Screening Using OCT-Derived 3D Point Clouds. Lorena Álvarez-Rodríguez, Joaquim de Moura, Elisa Vilades, Elena Garcia-Martin, Jorge Novo, Marcos Ortega |
| 2025 | Geometric Diffusion Model Based on Stochastic Differential Equations for 3D Molecular Generation. Xinyi Guan, Song He, Xiaochen Bo, Zhongnan Zhang |
| 2025 | Geometry-Aware Convolutional Neural Networks on SPD Manifolds. Imad Eddine Tibermacine, Samuele Russo, Christian Napoli |
| 2025 | Geometry-Guided Behavior Pattern Adaptation for Trajectory Prediction in Unseen Scenes. Yaqun Cui, Meixiu Long, Jinbiao Chen, Jianpeng Zhou, Siyuan Chen, Jiahai Wang |
| 2025 | Global Periodic Spatiotemporal Awareness for X-Shaped Anterior Visual Pathway Segmentation. Jinhui Liu, Haodong Xu, Shaoguo Cui |
| 2025 | Global and Local Attention for Single Image Defocus Deblurring. Shenggui Ling, Hongmin Zhan, He Zhao, Rui Shi |
| 2025 | Global and Local CNN Attention Mechanisms for Video Summarization. Yujie Li, Haonan Jia, Jiayi Wang, Jie Ren, Benying Tan |
| 2025 | Global and Local Structure SPD Manifold Network for Image Set Classification. Yipan Song, Yongsheng Zhao, Jinping Wang, Ruisheng Ran |
| 2025 | GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units. Arghadip Das, Shamik Kundu, Arnab Raha, Soumendu Kumar Ghosh, Deepak Mathaikutty, Vijay Raghunathan |
| 2025 | Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew. Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii |
| 2025 | Gradient-Threshold-Based Integrity Tree Optimization for Secure GPU Memory. Shaofeng Lin, Mingshu Li, Yeping He, Qiming Zhou, Hengtai Ma, Xiaohui Wu |
| 2025 | Graph Attention Networks for Gait-Based Autism Spectrum Disorder Detection and Interpretability. Simone Colella, Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Alessio Fioravanti, Massimo Panella |
| 2025 | Graph Local Pooling Optimization for Hierarchical Graph Neural Networks. Qinxin Zhao, Sheng Zhong |
| 2025 | Graph Machine Learning for DNA Classification. Luca Pedrelli, Veronica Guerrini, Nadia Pisanti, Alessio Micheli |
| 2025 | Graph-Aug LSTM with Weighted Loss for Enhanced Energy Forecasting. Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi |
| 2025 | GraphLIP: Graph-Enhanced Lightweight Indoor Positioning Model Leveraging Channel State Information. Chuhao Chen, Zihan Zhou, Xiang Li, Wei Li, Xiangxu Meng |
| 2025 | Graphs to the Rescue: Revealing Hidden Relationships in Survey Data. Bruno Messias Farias de Resende, Alexandre C. B. Delbem, Eric K. Tokuda |
| 2025 | GridNet: Vision-based Mitigation of GPS Attacks for Aerial Vehicles. Nian Xue, Zhen Li, Xianbin Hong, Christina Pöpper |
| 2025 | Groundwater Seepage Modeling in a River-Canal System based on Physics-Informed Neural Networks. Chong Chen, Yifan Li, Zongyu Han, Yixiao Niu, Xiaoyu Zhu, Yaru Xue |
| 2025 | Guidance Net: Remote Sensing Image Dehazing with Guidance of Prompt Texture Information Embedding. Zhengguang Tan, Guoheng Huang, Lianglun Cheng, Alex Hay-Man Ng |
| 2025 | GuidedLatent: Defending VAEs against Membership Inference Attacks via Distribution-Guided Privacy. Chengze Du, Guangzhen Yao, Jibin Shi, Ying Zhang, Renda Han |
| 2025 | Guidelines-Enhanced ICL with Examples Selection for Document-Level Event Argument Extraction. Yuning Guo, Xuanning Liu, Bin Wu |
| 2025 | H Zekai Zhang, Xiangpan Fan, Shichao Zhou, Wenzheng Wang, Dongshun Cui, Shuigen Wang |
| 2025 | H2C-Scheduler: An Efficient and Scalable Job Scheduling Method for Hybrid Heterogeneous AI Computing Clusters. Huagang Wen, Chunxiao Wang, Jian Zhang, Zhigang Zhao, Qiuyue Liu |
| 2025 | HACL: A Hybrid Adaptive Curriculum Learning Framework for Multi-modal Sarcasm Detection. Kefan Shen, Yukang Huang, Wenyao Wang, Shaorong Xie, Zhihong Zhu, Wei Liu |
| 2025 | HADFF: Composed Image Retrieval Based on Hybrid-Attention and Dynamic Feature Fusion. Xiaoyun Zhang, Ruihui Yi, Liujie Hua, Bin Yu, Pinjie He, Xinpan Yuan |
| 2025 | HARFT: Role and Function-Based Cooperation Approach for Heterogeneous Multi-Agent. Long Yang, Shaorong Xie, Xiangfeng Luo |
| 2025 | HAVEN: From Human Guidance to Assistant by Evolution Network in Vision-and-Language Navigation. Pingrui Lai, Zihao Xie, Hua Yang |
| 2025 | HCNN-CasForest6: A Hybrid Deep Learning and Ensemble Framework for Fault Diagnosis. Zicheng Hu, Weizhe Ding, Ruisheng Ran |
| 2025 | HCRNet: Hybrid Collaborative Relation Network for Egocentric Hand-Object Segmentation. Ming Jiang, Chenguang Zhao, Feng Zhang, Yao Lu, Xingyu Tao |
| 2025 | HD-CBBIN: A Lightweight Approach for Contextual Bandit Learning in Real-Time Applications. Marco Angioli, Antonello Rosato, Marcello Barbirotta, Rocco Martino, Andrea Marcelli, Antonio Mastrandrea, Mauro Olivieri |
| 2025 | HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization. Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao |
| 2025 | HDTPose: A Hierarchical Decoding Transformer for End-to-End Single-Stage Multi-Person Pose Estimation. Wei Zhang, Bin Xue, Qi Li, Zhenan Sun |
| 2025 | HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose Estimation. Yajie Fu, Chaorui Huang, Junwei Li, Hui Kong, Yibin Tian, Huakang Li, Zhiyuan Zhang |
| 2025 | HEDEL: Homomorphically Encrypted Distributed Ensemble Learning. Riccardo Pazzi, Alessandro Falcetta, Manuel Roveri |
| 2025 | HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection. Jiayun Wu, Qing Zhang, Chenxi Zhang, Yanjiao Shi, Qiangqiang Zhou |
| 2025 | HEMS:Heterogeneous Model Splitting Strategies Under Cross-Domain Computing Power Distribution. Hanglun Li, Hao Hao, Huiling Shi, Jiaao Sun, Zheng Su, Wei Zhang |
| 2025 | HEXA: Heterogeneity-aware Exact Aggregation for Efficient Fine-Tuning in Federated Learning. Marco Garofalo, Massimo Villari, Fakhri Karray |
| 2025 | HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis. Xuanhua Yin, Dingxin Zhang, Jianhui Yu, Weidong Cai |
| 2025 | HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network. Hu Cui, Tessai Hayama |
| 2025 | HI-SQL: Optimizing Text-to-SQL Systems through Dynamic Hint Integration. Ganesh Parab, Zishan Ahmad, Dagnachew Birru |
| 2025 | HIM-RAG: A Heuristic Framework for Iterative Multi-Source Retrieval-Augmented Generation. Sijun Li, Yanglong Yu, Huiyu Yang, Yihao Zhou, Chuanjun Ji |
| 2025 | HITS: Hierarchical Interpretable Time Series Classification via Multiple Instance Learning. Kun Han, Abigail M. Y. Koay |
| 2025 | HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models. Dhoyazan Al-Turki, Shadi Basurra, Mohamed Medhat Gaber, Bushra Attasi, Mohammed M. Abdelsamea |
| 2025 | HMCFA-DTI:A hybrid Multi-scale CNN and cross flow-attention network for drug-target interaction prediction. Peiyuan Wu, Jing Peng, An Li |
| 2025 | HR-OTTA: Robust Online Test-Time Adaptation with Hybrid Fine-Tuning. Jixiang Lei, Franz Pernkopf |
| 2025 | HRAN-MKR:Multi-task Recommendation based on Heterogeneous Relation Attention Network. Peiyang Chen, Junchao Ma, Mustafa A. Al Sabhae, Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi |
| 2025 | HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition. Sijin Sun, Ming Deng, Xingrui Yu, Liangbin Zhao |
| 2025 | HSDNet: Hybrid Super-Resolution Assisted Detection Network for Surface Defect Detection. Xinzhi Lin, Xuan Yang, Yunquan Sun, Lizhe Qi |
| 2025 | HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks. Baisong Li, Xingwang Wang, Haixiao Xu |
| 2025 | HSViT: Horizontally Scalable Vision Transformer. Chenhao Xu, Chang-Tsun Li, Chee Peng Lim, Douglas C. Creighton |
| 2025 | HT-Graph: Heterogeneous Continuous-Time Dynamic Graph Representation Learning using Neighbor-store with Restart. Nilanjana Debnath, Unnikrishnan C |
| 2025 | HTR-FSRNet: Hierarchical Texture Reconstruction for Face Super-Resolution with Facial Prior. Tingyi Mei, Liang Chen, Yongxi Hu, Yi Wu |
| 2025 | HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs. Sharanya Dasgupta, Sujoy Nath, Arkaprabha Basu, Pourya Shamsolmoali, Swagatam Das |
| 2025 | Haphazard Inputs as Images in Online Learning. Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad |
| 2025 | Harmonize the Concealment and Salience: Adaptive Camouflage Synthesizing Network for Camouflage Images Generation. Yuhang Qian, Haiyan Chen, Dongni Lu, Longwu Yang, Xinyu Jiang, Jie Qin |
| 2025 | Harnessing NLP for test case prioritization: unsupervised approaches. Andrea Vignali, Giancarlo Sperlí, Simon Pietro Romano |
| 2025 | Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks. Tianqing Zhang, Zixin Zhu, Kairong Yu, Hongwei Wang |
| 2025 | Hear ALL Parties: Detecting Implicit Hate Speech using Contrastive In-context Learning. Yuanyong Li, Sanchuan Guo, Xi Zhang |
| 2025 | Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling. Hritaban Ghosh, Changyu Chen, Arunesh Sinha, Shamik Sural |
| 2025 | Heterogeneous Graph Representation Learning Based on Multi-Relational Graphs. Dongqi Wang, Zhenglin Li, Chunmei Liang, Jiaming Liu, Mingzhao Xie, Dongming Chen |
| 2025 | Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic. Connor Hanley, Eilene Tomkins-Flanagan, Mary Alexandria Kelly |
| 2025 | HiCAN: Hierarchical Cross-Modal Attention Fusion Network for Rumor Detection. Zongliang Han, Shun Mao, Jie Sui |
| 2025 | HiGATA: Hierarchy-aware Graph Attention Networks Enhanced by Topological Analysis for Hierarchical Multi-Label Text Classification. Yali Gao, Xinhao Zheng, Haowen Sun |
| 2025 | HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition. Manuel Benavent-Lledó, David Ortiz-Perez, David Mulero-Perez, Pablo Ruiz-Ponce, José García Rodríguez |
| 2025 | Hierarchical Distribution-Aware Network for Point Cloud Completion. Jiaqi Zou, Yanyun Tao, Yefei Yang |
| 2025 | Hierarchical Dual-Branch Attention Transformer for Micro-Expression Recognition. Xinliang Liu, Yanxia Wang, Guoyu Xia |
| 2025 | Hierarchical Feature Learning Based on Memory for Skin Lesion Recognition. Wenjia Yang, Xiaole Zhao, Xiaobo Zhang, Yan Yang, Tianrui Li |
| 2025 | Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments. Wai Fong Tam, Qilei Li, Ahmed M. Abdelmoniem |
| 2025 | Hierarchical Semantic Enhancement and Efficient Bi-temporal Interaction for Remote Sensing Change Detection. Jingxing Zhong, Renda Han, Bingxin Su, Wenxin Zhang, Yutian You, Cuicui Luo |
| 2025 | Hierarchical clustering algorithm based on fusion rule of competitive neighborhood graph and genetic distance. Fapeng Cai, Ji Feng, Zhongshang Chen, Degang Yang |
| 2025 | Hierarchical decomposition of calcium imaging into multi-level ensembles using neural matrix factorization. Tanishk Tanishk, Pablo Vergara, Yuteng Wang, Masanori Sakaguchi, Taro Tezuka |
| 2025 | High Performance Machine Learning for Nation Wide Crop Classification. Lucas Borges Aquino, Gianlucca L. Zuin, Adriano Alonso Veloso, Nivio Ziviani |
| 2025 | High-Adaptive Edge AIGC Collaborative Inference Optimization Mechanism. Xianzhou Meng, Yuanyuan Qi, Yan Sun, Feng Qi, Shaoyong Guo, Jiakai Hao |
| 2025 | High-Fidelity Face Swapping via Fine-grained Attribute Control with Diffusion Models. Zikang Zhou, Keze Wang |
| 2025 | High-Frequency Information Assisted Superpixel Attention for Lightweight Image Super-Resolution. Sijia Fu, Qingxuan Shi, Fang Yang, Fangxin Hou, Junhui Li |
| 2025 | High-Precision Fabric Defect Detection via Adaptive Shape Convolutions and Large Kernel Spatial Modeling. Shuai Wang, Yang Xu, Hui Zheng, Baotian Li |
| 2025 | High-Quality Pseudo-Label Generation Based on Visual Prompt Assisted Cloud Model Update. Xinrun Xu, Qiuhong Zhang, Jianwen Yang, Zhanbiao Lian, Jin Yan, Zhiming Ding, Shan Jiang |
| 2025 | High-level classification based on meta-graph of visibility graphs for Autism detection. Ricardo B. Lima Filho, Robinson Sabino-Silva, Murillo G. Carneiro |
| 2025 | How Long Should LLMs Generate a Thought in Reasoning Framework. Kanglong Li, Xiaohu Yan, Fazhi He, Xingyao Wu |
| 2025 | How can we trust opaque systems? Criteria for robust explanations in XAI. Annika Schuster, Florian J. Boge |
| 2025 | Human Activity Recognition Using Spatio-Temporal Dual Attention with Cross-Sensor Attention. Meenambika Chandirakumar, Thanushanth Kanagarajah, Nithursika Kalanantharasan, Sandareka Wickramanayake, Dulani Meedeniya |
| 2025 | Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study. Simona Casini, Pietro Ducange, Francesco Marcelloni, Lorenzo Pollini |
| 2025 | Hy Yang Zhang, Yidong Chen |
| 2025 | Hy-Deft: A Hybrid Defense Technique for Vision Transformers against Adversarial Attacks in Medical Imaging. Neha A S, Vivek Chaturvedi, Muhammad Shafique |
| 2025 | HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model. Yuanhao Xi, Xiaohuan Bing, Ramin Yahyapour |
| 2025 | HyLiteNet: A Lightweight Hybrid Network for Single Image Super-Resolution. Hengwei Fu, Jijun Tong |
| 2025 | Hybrid Machine Learning Models Applied to Daily Urban Water Consumption Prediction. Ramon Gomes da Silva, Luis Fernando Rodrigues Agottani, Anderson Schamne, Andre Biscaia da Silva, Gustavo Rafael Collere Possetti, Leandro dos Santos Coelho, Viviana Cocco Mariani |
| 2025 | Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning. Congying Liu, Gaosheng Wang, Peipei Liu, Xingyuan Wei, Hongsong Zhu |
| 2025 | Hybrid Polynomial Neural Network Based On Input Set Enhancement Strategy. Xuemin Gui, Sheng Lin, Honghao Zhang |
| 2025 | Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA. Marco Casalbore, Leonardo Lavagna, Antonello Rosato, Massimo Panella |
| 2025 | Hybrid Swin Transformer for Appearance Gaze Estimation. Zhang Cheng, Yanxia Wang, Xinliang Liu, Wei Liang, Fenglin Huang |
| 2025 | Hybrid Visibility Graph and Long Short Term Memory for Schizophrenia Detection. Asma Belhadi, Youcef Djenouri, Pedro G. Lind, Anis Yazidi |
| 2025 | Hybrid Visual Adapter and Drop-View Training for Change Captioning. Ziyang Yu, Xiaodong Gu |
| 2025 | Hybrid and hardware-oriented approaches for quantum diffusion models. Andrea Cacioppo, Lorenzo Colantonio, Simone Bordoni, Stefano Giagu |
| 2025 | Hyper-Relation Fusion for Solving Multi-depot Vehicle Routing Problems. Xingyan Liu, Yang Wang, Fansen Meng, Ya-Hui Jia |
| 2025 | HyperDiscover: Advancing Scientific Discovery through Concept Co-occurrence and Hypergraph Neural Networks. Jiyong Qu, Zhijie Ban |
| 2025 | HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views. Khaled Mohammed Saifuddin, Shihao Ji, Esra Akbas |
| 2025 | Hypergraph Prediction Diffusion Transformers for Person Image Synthesis. Zhiheng Wu, Ningzhi Wang, Huilin Deng, Hanhui Zeng, Zhenyu Qi, Jichen Wang |
| 2025 | Hypergraph-Encoder: A Dynamic Hypergraph-based Approach for Predicting Synergistic Effects in Multi-Drug Combinations. Xiaolin Li, Xianguo Zhang |
| 2025 | I2Mamba: Intra- and Inter-Modality Selective State Space Model for Brain Tumor Segmentation. Wanglong Mao, Zhen Zhang, Yi Zhou |
| 2025 | IBCL: Integrating Information Bottleneck and Multi-Level Contrastive Learning for Accurate Multimodal Sentiment Analysis. Feifei Xu, Haoran Bi, Bo Li, ZiXi Wu, Miaoyue Jiafu |
| 2025 | ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. Wenhao Hu, Paul Henderson, José Cano |
| 2025 | ICLR: Coupling In-Context Learning with Refiner for Aspect Term Extraction. Chaoqun Liu, Yu Hong, Qingting Xu, Jianmin Yao |
| 2025 | IDF: Individual Difference-aware Framework for Cross-Patient Image Segmentation. Zibo Ma, Jianfei Huo, Guanchun Yin, Zheng Zhang, Bo Zhang, Wendong Wang |
| 2025 | IEAgent: A Zero-Shot Information Extraction Agent with Knowledge RAG for Unstructured Data. Jiajia Sun, Zhuqing Sun, Min Ren, Yingjie Zhang |
| 2025 | IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing. Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu |
| 2025 | IF-DETR: Incremental Few-Shot Detection Transformer for Surface Defect Detection. Xuan Yang, Zhangxun Li, Xinzhi Lin, Jiamu Sheng, Nailei Hei, Lijun Dai, Lizhe Qi |
| 2025 | IFENet: SAR Imaging on the Missing Echo via Image Formation and Enhance Network. Shuang Li, Ganggang Dong |
| 2025 | IJCNN 2025 Competition: Learning with Noisy Graph Labels. Farooq Ahmad Wani, Maria Sofia Bucarelli, Giulia Di Teodoro, Andrea Giuseppe Di Francesco |
| 2025 | IKG-Agent: Intent-driven Knowledge Graph Agent for Adaptive Workflow Reasoning. Yunzhi Liang, Siyang Tao, Haoyuan Teng, Hongyu Yao, Xin Wang, Xiaobo Guo, Lei Wang, Ji Xiang |
| 2025 | IPI-CVx: Explainable and Robust Detection of Intestinal Parasites Using Augmentation-Based Supervised Target Learning. Sankar Behera, Anuj Kumar, Satyadev Ahlawat, Yamuna Prasad |
| 2025 | IR-DED:An Adaptive Retrieval-Augmented Generation Framework Supporting Iterative Reasoning and Instruction Denoising. Puzhou Wang, Haixia Pan, Jiale Bo |
| 2025 | IRGV: An Interpretable Reinforced Graph Contrastive Framework for Diagenetic Facies Identification. Liying Zhang, Jingyu He, Deshuai Mu, Zhiguo Mao |
| 2025 | ISL-MED: A General Iterative Self-Learning Framework for Speech Complex Emotion Detection. Xiaolong Wu, Xinxin Luo, Chang Feng, Hankiz Yilahun, Mingxing Xu, Askar Hamdulla, Thomas Fang Zheng |
| 2025 | IllumiCurveNet: Low-Light Image Enhancement of Lunar Permanently Shadowed Regions Using a Self-Guided Loss Framework. Saksham Jain, Sparsh Jain, Ashish Prajapati, Garvit Singh, Dinesh Kumar Vishwakarma |
| 2025 | Image-to-Image estimation of Heat Flux in STRIKE tiles Using Convolutional Neural Networks. Lorenzo Milia, Enrico Aymerich, Rita Sabrina Delogu, Antonio Pimazzoni, Gianluigi Serianni, Alessandra Fanni, Giuliana Sias |
| 2025 | Implicit Topology Mining via Dual Filters for Attributed Graph Contrastive Clustering. Zhongyang Zhou, Bin Tang, Feiyu Chen, Nanjun Yu, Haomin Wu |
| 2025 | ImprovNet - Generating Controllable Musical Improvisations with Iterative Corruption Refinement. Keshav Bhandari, Sungkyun Chang, Tongyu Lu, Fareza R. Enus, Louis Bradshaw, Dorien Herremans, Simon Colton |
| 2025 | Improve Multi-task Medical Image Segmentation by Localized Worst-case Balancing. Qianyi Pan, Pei Yang, Zeao Zhang, Huawei Cai, Quan Guo |
| 2025 | Improved Accuracy of Robot Localization Using 3-D LiDAR in a Hippocampus-Inspired Model. Andrew Gerstenlager, Bekarys Dukenbaev, Ali A. Minai |
| 2025 | Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning. Muhammad Irfan, Anum Nawaz, Riku Klén, Abdulhamit Subasi, Tomi Westerlund, Wei Chen |
| 2025 | Improving Communication-Efficient and Byzantine-Robust Distributed Learning with Local Adaptive Momentum. Yanghao Li, Changxin Liu, Yuhao Yi |
| 2025 | Improving Concrete Mix Design Predictions with Machine Learning Algorithms. Jonathan Melchiorre, Costanza Anerdi, Vincenzo Randazzo, Giuseppe Carlo Marano |
| 2025 | Improving Conversational Recommendation Systems through Analysis of Biased User History Samples. Qijia Xu, Wei Li |
| 2025 | Improving Face Recognition Methods Using Generative Models. Héctor Penadés, Félix Escalona, Miguel Cazorla |
| 2025 | Improving Fairness in Density Peak Clustering through Fair Constraints and Multi-Objective Optimization Allocation. Zhijing Yang, Yiding Tang, Boyang Yan, Junjie Zheng, Chuan Qian, Yi Yang, Hui Zhang |
| 2025 | Improving Fast Adversarial Training with Adversarial Sample Fusion. Chunlong Fan, Jiru Sun, Li Xu |
| 2025 | Improving Generalization of Medical Image Registration Foundation Model. Jing Hu, Kaiwei Yu, Hongjiang Xian, Shu Hu, Xin Wang |
| 2025 | Improving Graph Contrastive Learning with LLMs: A New Hardness-Aware Negative Sampling Strategy. Shuai Zhong, Xiaotong Wang, Haorui Wang, Xinming Chen, Yuanxing Xu, Xu Liu, Bin Wu |
| 2025 | Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation. Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera |
| 2025 | Improving Mathematical Reasoning Abilities of Small Language Models via Key-Point-Driven Distillation. Xunyu Zhu, Jian Li, Rong Yin, Can Ma, Weiping Wang |
| 2025 | Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation. Xunyu Zhu, Jian Li, Rong Yin, Can Ma, Weiping Wang |
| 2025 | Improving Medical Question Summarization through Re-ranking. Sibo Wei, Xueping Peng, Yan Jiang, Zhao Li, Yan Liu, Zhiqiang Wang, Wenpeng Lu |
| 2025 | Improving Multileaf Collimator Segment Predictions by Neural Networks with Well-Conditioned Data. Owen Clancey, Matthew Witten |
| 2025 | Improving Personality Alignment in Role-Playing Dialogue Agents for Small LLMs. Yixiao Wang, Homa Fashandi, Kevin Ferreira |
| 2025 | Improving Sentence Embeddings of Extractive Question Answering Based on Adversarial and Contrastive Learning. Xin Wei, Chuan Liu, Yang Yang, Jun Zhou |
| 2025 | Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation. Rayson Laroca, Marcelo dos Santos, David Menotti |
| 2025 | Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion. Bac Nguyen, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji |
| 2025 | Improving electrocardiogram signal classification using the FlexPoints algorithm and convolutional long short-term memory networks. Daniel Bulanda, Janusz A. Starzyk, Malgorzata Bulanda, Adrian Horzyk |
| 2025 | Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates. Alejandro Ascarate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado |
| 2025 | Improving the Identification of Residential Loads Using Deep Transfer Learning Feature Extraction: A Comparative Analysis. J. S. Corrêa, Diego L. Cavalca, Ricardo A. S. Fernandes |
| 2025 | In-Sensor Real Time Learning for Continuous Glucose Monitoring. Anna Sabatini, Francesco Saccani, Luca Vollero, Danilo Pau |
| 2025 | InTranCeNet: Interpretable and Lightweight Attention-Based Transformer Architecture for Cervical Cancer Diagnosis. Neha Sharma, Kumar Gaurav, Tharun Kumar Reddy Bollu |
| 2025 | Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition. Dustin Aganian, Erik Franze, Markus Eisenbach, Horst-Michael Gross |
| 2025 | Incorporating Distributed Invariants in Autonomous Cybersecurity Knowledge Graphs: A Scalable Approach Using GNNs and LLMs. Nader Belhadj, Mohamed Amine Mezghich, Jaouher Fattahi, Ridha Ghayoula, Lassaad Latrach |
| 2025 | Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction. Miaomiao Jin, Ziliang Ren, Qieshi Zhang, Tiezhu Zhao, Hui Zhao |
| 2025 | Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition. Guanghui Song, Ye Hong, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2025 | Ind-MSA: Bridging the Linguistic Gap for Inductive Multilingual Sentiment Analysis with Graph Neural Networks. El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi |
| 2025 | Industrial Feasibility of PEFTpyCoder: A Parameter-Efficient Fine-Tuned Model for In-House Code Assistance. Adnan Riaz, Moreno Marzolla, Davide Rossi, Stefano Sinigardi |
| 2025 | InfoSyncNet: Information Synchronization Temporal Convolutional Network for Visual Speech Recognition. Junxiao Xue, Xiaozhen Liu, Xuecheng Wu, Fei Yu, Jun Wang |
| 2025 | Informative Discrimination Network for Efficient Single Image Super-Resolution. Yuzheng Tu, Xinhai Chen, Chunye Gong, Jie Liu, Bo Yang, Xiang Gao, Xiang Zhang |
| 2025 | Informative Memory Mechanism for Enhancing Crisis Response in Large Language Models. Boyang Wang, Xianjie Wu, Zhoujun Li |
| 2025 | Initial-Key Cache: An Efficient KV Cache Strategy Focusing on Initial and Key Tokens for LLMs. Zhongyi Tang, Zejiang He, Junzhong Shen, Yiyue Hu, Luchen Zhou, Yongzhang Nie, Yongwen Wang |
| 2025 | Initializing Complex-Valued Neural Networks from their Pretrained Real-Valued Counterparts. Florian Eilers, Xiaoyi Jiang |
| 2025 | Injecting Commonsense into Object Detection Algorithms. Dizhao Jiang |
| 2025 | Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. Jérémy Morlier, Mathieu Léonardon, Vincent Gripon |
| 2025 | Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain. Spyridon Raptis, Haralampos-G. Stratigopoulos |
| 2025 | Instance space analysis of the capacitated vehicle routing problem. Alessandra M. M. M. Gouvêa, Nuno Paulos, Eduardo Uchoa, Mariá C. V. Nascimento |
| 2025 | Instance-Specific Learning for Skeleton-Based Action Recognition with Varying Data Quality. Liang Zhu, Huaijun Qiu, Zhuo Yan, Cuiwei Liu |
| 2025 | Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks. Luca Bergamin, Giovanna Maria Dimitri, Fabio Aiolli |
| 2025 | Integrating Cognitive Processing Signals into Language Models: A Review of Advances, Applications and Future Directions. Ángela López-Cardona, Sebastian Idesis, Ioannis Arapakis |
| 2025 | Integrating Gradient and Mask-based Approaches for Vision Transformer Explainability. Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili |
| 2025 | Integrating Locality-Aware Attention with Transformers for General Geometry PDEs. Minsu Koh, Beom-Chul Park, Heejo Kong, Seong-Whan Lee |
| 2025 | Integrating Neural Language Models in Clinical Practice: A Case Study on Chronic Kidney Disease Consultations. Victor Nascimento Neves, Claudine Badue, Joao Felipe Gobeti Calenzani, Lucas Thom Ramos, Thiago Oliveira-Santos, Alberto F. De Souza |
| 2025 | Integrating Paragraph Structural Information into Discourse Semantic Comprehension for Implicit Discourse Relation Recognition. Fengyu Guo, Yihan Li, Ziping Zhao |
| 2025 | Integrating Semi-Supervised Learning and Ensemble Deep Learning for Low-resource Deep Knowledge Tracing. Xishuang Dong, Lin Li, Uchechukwu Melody Okechukwu, Lijun Qian |
| 2025 | Integrating Torsion Features into Semantic Segmentation for Remote Sensing Images. Xingjie Sun, Shangbo Zhou, Juwei Mu, Yijia Chen |
| 2025 | Intention Aggregation and Category Enhancement Graph Neural Network for Session-based Recommendation. Xiangqian Geng, Desheng Zhang, Miaomiao He |
| 2025 | International Joint Conference on Neural Networks, IJCNN 2025, Rome, Italy, June 30 - July 5, 2025 |
| 2025 | Interpretability-Aware Vision Transformer. Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu |
| 2025 | Interpretable GAN for Alzheimer's Disease Progression Identification Based on Gene Expression and sMRI. Jiahao Gu, Yin Tian |
| 2025 | Interpretable Modeling of Aesthetic Evaluation in Calligraphy Imitation. Wen Sun, Yongle Cheng, Ruimin Lyu |
| 2025 | Interpretable Res-ViTNet with Multiview Interaction and Multiobjective Optimization for sEMG-based LLMI Recognition. Xiangli Zhou, Biao Wei, Yu Liu, Liufeng Xiao, Antonella Santone, Francesco Mercaldo |
| 2025 | Intersectional Bias Quantification in Facial Image Processing with Pre-Trained ImageNet Classifiers. Valerie Krug, Florian Röhrbein, Sebastian Stober |
| 2025 | Interventional Prompt-Tuning for Relation Extraction. Yu Wang, Zhonglin Guo, Liqiang Wen, Yipu Chen, Zhen Wang, Wen Zhao |
| 2025 | Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. Shaeke Salman, Montasir Shams, Xiuwen Liu, Lingjiong Zhu |
| 2025 | Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning. Vrushank Ahire, Yogesh Kumar, M. A. Ganaie |
| 2025 | Inverted Transformers Interpretability Beyond Attention Visualization. Hugo Cazaux, Ralph Rudd, Hlynur Stefansson, Sverrir Ólafsson, Eyjólfur Ingi Ásgeirsson |
| 2025 | Invertible TabMap: An Invertible Self-supervised Mapping for Imbalanced Classification of Tabular Data. Ruoxue Liu, Wenjia Wang, Chi Zhang, Yuan Yao |
| 2025 | Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang |
| 2025 | Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance. Gaozhe Jiang, Shenghan Zhao, Yanyi Zhong, Jie Yang, Hongyi Chen, Chenwei Gong |
| 2025 | Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging. Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong |
| 2025 | Iterative Progressive Reasoning Network for Event Causality Identification. Xingzhi Wang, Ao Huang, Xiangfeng Luo, Huizhe Su |
| 2025 | JMTF: A Joint Model for Chinese Measurable Quantitative Information Extraction based on Table Filling. Qixuan Zhang, Haitao Wang, Xinyu Cao, Jie Wei, Fu Lee Wang, Tianyong Hao |
| 2025 | JPEGs Just Got Snipped: Croppable Signatures Against Deepfake Images. Pericle Perazzo, Massimiliano Mattei, Giuseppe Anastasi, Marco Avvenuti, Gianluca Dini, Giuseppe Lettieri, Carlo Vallati |
| 2025 | JTFM: Joint Time-Frequency Method For Long-term Time Series Forecasting. Yu Li, Wenxin Zhang, Renda Han, Guangzhen Yao, Zeyu Zhang, Tao Liu, Cuicui Luo |
| 2025 | JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata. Abhinaba Roy, Renhang Liu, Tongyu Lu, Dorien Herremans |
| 2025 | Joint Action Language Modelling for Transparent Policy Execution. Theodor Wulff, Rahul Singh Maharjan, Xinyun Chi, Angelo Cangelosi |
| 2025 | Joint Content semantic relation Learning with Mamba for Multimodal Recommendation. Xinyue Zhang, Yue He, Jing Li, Jun Chang, Kai Zhu, Guohao Li |
| 2025 | Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes. Jun Kang Yap, Vishnu Monn Baskaran, Wen-Shan Tan, Ze Yang Ding, Hao Wang, David L. Dowe |
| 2025 | Joint Post-Training Pruning and Power-of-Two Quantization for Efficient Edge Computing. Zongcheng Yue, Sean Longyu Ma, Chiu-Wing Sham, Chong Fu |
| 2025 | JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu |
| 2025 | KAN-RCBEVDepth: Integrating Multi-modal Sensor Data for Robust 3D Object Detection in Autonomous Driving. Zhihao Lai, Mingsheng Ren, Shihui Sheng, Chuanhao Liu, Zhiqiang Zhang |
| 2025 | KAN-TSCN: A Kolmogorov-Arnold Networks Enhanced Framework for Temperature Forecasting. Shuang Li, Yuanyuan Zhang, Jiayin Lin |
| 2025 | KANOptiKT: Matrix Factorization and KAN Optimized Attention for Interpretable Knowledge Tracing. Wenjie Chen, Yan Zhang, Kui Xiao, Miao Zhang, Shihui Wang, Zhifei Li |
| 2025 | KDLight: A Lightweight Knowledge Distillation Framework for Medical Image Classification. Saif Ur Rehman Khan, Omair Bilal, Sajib Mistry, Novarun Deb, Mufti Mahmud, Monowar Bhuyan |
| 2025 | KSINet: Keypoint-Enhanced Single-Head Inference for Sitting Posture Recognition. Yongheng Tai, Shoudong Shi, Shanshan Zhong, Ting Lan, Tianxiang Zhao, Kedi Qiu |
| 2025 | KTCR: Improving Implicit Hate Detection with Knowledge Transfer driven Concept Refinement. Samarth Garg, Vivek Hruday Kavuri, Gargi Shroff, Rahul Mishra |
| 2025 | KairosRAG: Enhancing On-Demand Retrieval and Filtering with Lightweight Adapters. Yani Luo |
| 2025 | Kernelized Low-rank matrix recovery: Application in collaborative representation based classification. Subhajit Saha, Angshul Majumdar, Swagatam Das, Avisek Gupta |
| 2025 | KneeMamba: A Multi-level Feature Extraction Model for Knee MRI Assisted Diagnosis with Mamba. Zonghai Huang, Jiatong Si, Jingting Zhang, Fengjun Mu, Rui Huang, Hong Cheng |
| 2025 | Knowledge Graph Self-Supervised Learning for Recommendation. Xinye Guan, Guixin Chu, Bangzuo Zhang, Lingxuan Li |
| 2025 | Knowledge Probing on Decoder-Only Models in Medical Domain. Zeng Ting, Chu Kiong Loo, Nurul Binti Japar |
| 2025 | Knowledge-Enhanced Question Generation Guided by Interrogative Words. Jinhong Li, Xuejie Zhang, Jin Wang, Xiaobing Zhou |
| 2025 | Knowledge-Optimized Multi-Agent Dynamics Framework for Zero-Shot Relation Triplet Extraction. Yu Tian, Minghao Hu, Jianyong Duan, Wenpeng Hu, Zhunchen Luo, Wei Luo |
| 2025 | Knowledge-enhanced N2N: Learning SEM Images Denoising with No Clean Data. Yi Fang, Chun Wang, Tian Lan, Sihai Zhang |
| 2025 | Kolmogorov-Arnold Network-Enhanced Cross-Modal Alignment for Textual Attribute Graph Reasoning with Large Language Models. Qihao Huang, Chen Jin, Shuke He, Lisheng Shu, Yikang Long |
| 2025 | Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks. Zongyu Wu, Ruichen Xu, Luoyao Chen, Georgios Kementzidis, Siyao Wang, Yuefan Deng |
| 2025 | Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks. Sivaram Krishnan, Jinho Choi, Jihong Park, Gregory Sherman, Benjamin Campbell |
| 2025 | LAPC: Large Language Model-Powered Adaptive Parameter Control for Evolutionary Algorithms. Yisong Zhang, Guoxing Yi, Hao Wang, Yu Cheng, Yiran Chen, Zhennan Wei |
| 2025 | LBurst: Learning-Based Burst Features for Low-Light 3D Reconstruction. Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau |
| 2025 | LDFC-YOLO: A Detector for Electron Microscope Images of Cashmere and Wool. Haiteng Xu, Yatu Ji, Qing-dao-er-ji Ren, Min Lu |
| 2025 | LDLBPA:LLM-Driven Latent Behavior Patterns Augmentation for ID-based Recommendation. Yu Bai, Yuanlai Wang, Jian Huang, Shuang Xue, Jinfu Yuan |
| 2025 | LHA: Layer-wise Hardware Acceleration of Progressive Quantizing Inference through Partial Reconfiguration for Edge Computing. Zongcheng Yue, Sean Longyu Ma, Chiu-Wing Sham, Chong Fu |
| 2025 | LJ-DETR: LightWeight RT-DETR Algorithm with Joint Encoder for Steel Surface Defect Detection. Chenyuan Wang, Tianqi Wang, Huacheng Li, Mengyao Wang, Jingqi Xia, Xilin Liu |
| 2025 | LLM-Based Embeddings for Program Analysis and Optimization. Calvin Higgins, Marco A. Alvarez |
| 2025 | LLM-Enabled Style and Content Regularization for Personalized Text-to-Image Generation. Anran Yu, Wei Feng, Yaochen Zhang, Xiang Li, Lei Meng, Lei Wu, Xiangxu Meng |
| 2025 | LLM-Enhanced Heterogeneous Graph Neural Networks for Research Project Conflict Detection. Wenjing Chang, Gege Qi, Yue Wang, Jianjun Yu |
| 2025 | LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models. Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Chingsheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang |
| 2025 | LLM-based Interactive Imitation Learning for Robotic Manipulation. Jonas Werner, Kun Chu, Cornelius Weber, Stefan Wermter |
| 2025 | LLMs at the Edge: Performance and Efficiency Evaluation with Ollama on Diverse Hardware. Donghao Huang, Zhaoxia Wang |
| 2025 | LMACA: Specific Emitter Identification via a Lightweight Noise-Robust Complex-valued Network with Multi-scale Median Augmented Channel Attention. Kaicong Yu, Yi Fang, Jian Yang |
| 2025 | LMFA-UNet: A Lightweight Multi-Granularity Feature Adaptation UNet for Skin Lesion Segmentation. Qizhou Huang, Fan Pan, Zhian Xu, Jianfeng Wang |
| 2025 | LOPD: A Low-illumination Scene Occluded Pedestrian Detection Model Based on Domain Adaptation. Liuyu Zhu, Zhiguang Wang, Yongsheng Hou, Zhiqiang Liu, Shen Li, Xiaoxue Li |
| 2025 | LOVD: Open-Vocabulary Object Detection Based on LLM-Enhanced Agents. Xinhao Li, Jungang Xu |
| 2025 | LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment. Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong, Yongtao Tang |
| 2025 | LSPNet: A Local Semantic Perception Network for Topic Segmentation. Shihao Yang, Shaoru Zhang, Yue Jiang, Ziyi Zhang, Ming Fang, Shuhua Liu |
| 2025 | LSTM in Recursive Feedback Loops: A Study on Textual Evolution and Complexity. Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2025 | LSTM-Based Market-Driven Multi-Scale Time Fusion for Stock Price Forecasting. Kaiyin Li, Xintao Zhuo, Qingzhen Xu |
| 2025 | LSTPointGMN: Lightweight Spatial-Temporal Graph Mamba Network for Gesture Recognition Using Millimeter-Wave Radar. Jun Zhang, Chunyu Wang, Zhenpeng Li, Lihua Zhang |
| 2025 | LW-DETR: Vision Transformer-Based Network for Transmission Line Fittings Defect Detection. Daming Liu, Peiyu Liu |
| 2025 | LaMDEN: Addressing Elevator-Based Navigation with Large Language Models and 3D Scene Graphs. Huzhenyu Zhang, Dmitry A. Yudin |
| 2025 | Label Semantics for Robust Hyperspectral Image Classification. Rafin Hassan, Zarin Tasnim Roshni, Rafiqul Bari, Alimul Islam, Nabeel Mohammed, Moshiur Farazi, Shafin Rahman |
| 2025 | Labeler-Dependent Noise with Adversarial Awareness. Vincent Agostino Del Tufo, Glenn Dawson, Robi Polikar |
| 2025 | LaneGS:Novel View Synthesis for Lane Change Scenarios in Autonomous Driving. Youtao Tang, Ji Liu, Chengliang Wang, Tian Jiang, Yonggang Luo |
| 2025 | Language Models Understand Themselves Better: A Zero-Shot AI-Generated Text Detection Method via Reading and Writing. Jinao Huang, Chuang Zhang, Tingwen Liu, Quangang Li, Taoyu Su, Chi Chen, Yulin Li |
| 2025 | Latent Space Alignment for AI-Native MIMO Semantic Communications. Mario Edoardo Pandolfo, Simone Fiorellino, Emilio Calvanese Strinati, Paolo Di Lorenzo |
| 2025 | Latent Space Semantic Alignment Network Based on Momentum Contrast for Image-Text Retrieval. Bo Lu, Xiaojin Wu, Haibin Zhu, Tianyuan Zhong, Lin Gan, Ying Gao |
| 2025 | Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data. Ljubomir Rokvic, Panayiotis Danassis, Boi Faltings |
| 2025 | Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network. Yilun Zheng, Jiahao Xu, Lihui Chen |
| 2025 | Learnable Multi-Transform Based Tensor Network for Low-Rank Tensor Decomposition. Haofei Liu, Honghang Chen, Haoye Zeng, Xiaoli Sun, Zimeng Li, Xiujun Zhang |
| 2025 | Learning Characteristics of Reverse Quaternion Neural Network. Shohgo Yamauchi, Tohru Nitta, Takaaki Ohnishi |
| 2025 | Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance. Xin Ju, Ye Zhang, Xiabing Zhou, Min Zhang |
| 2025 | Learning Implicit Relations for Collaborative Filtering via Optimal Transport. Jingwen Wang, Chuangguang Huang, Jiabi Zheng, Yuguang Yan |
| 2025 | Learning Neural Velocity Fields from Dynamic 3D Scenes via Inter-Frame Consistency Loss. Sota Ito, Yoshikazu Hayashi, Hiroaki Aizawa, Kunihito Kato |
| 2025 | Learning Robust Representations for Carotid Plaque Classification via Transition Matrix and Structural Similarity Regularization. Yongrui Lv, Ran Zhou, Cong Wu, Ji Wang, Haitao Gan |
| 2025 | Learning Text Document Representations by One-Class Glial Neural Networks. Jakub Nowak, Marcin Korytkowski, Slava Voloshynovskiy, Rafal Scherer |
| 2025 | Learning With Spiking Neural Assembly-Based State Machine. Mitra Rahmatinezhad, Arash Ahmadi |
| 2025 | Learning a Discriminative Grassmannian Neural Network for Visual Classification. Yusheng Bao, Rui Wang, Tianyang Xu, Xiaojun Wu, Umapada Pal, Josef Kittler |
| 2025 | Learning by Ranking: Data-Efficient Knowledge Distillation from Black-Box LLMs for Information Retrieval. Zizhong Li, Haopeng Zhang, Jiawei Zhang |
| 2025 | Learning from the Best: High-Quality Sample Guidance for Oriented Object Detection. Yuying Pan, Qin Wu, Hui Shen, Zeda Chen, Yin Liu, Shengnan Fan, Haojie Zhou |
| 2025 | Learning to Follow Domain-specific Instruction with Verifiable Rewards. Shaohan Huang, Yi Liu, Jiaxing Qi, Hailong Yang, Zhongzhi Luan, Depei Qian |
| 2025 | Learning to Learn: When Chain-Of-Thought in Domain-Specific Machine Translation. Yuqian Dai, Chun Fai Chan, Ying Ki Wong, Tsz Ho Pun |
| 2025 | Learning to Stabilize Column Generation. Lichang Fang, Haofeng Yuan, Shiji Song, Bokui Chen |
| 2025 | LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval. Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman, Mohammad Ruhul Amin, Sifat Momen, Nabeel Mohammed, Shafin Rahman |
| 2025 | LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs. Umesh Bodhwani, Yuan Ling, Cibi Chakravarthy Senthilkumar, Shujing Dong, Yarong Feng, Hongfei Li, Ayush Goyal |
| 2025 | Lesion Boundary-Aware Adaptation of Segment Anything Model for 2D Medical Image. Jianyuan Li, Xiong Luo, Boyu Wang |
| 2025 | Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel |
| 2025 | Less is Better: Exploiting Label Bias to Enhance Instruction Tuning-based Backdoor Attack on Large Language Models. Heng-Yang Lu, Yi Zhong, Chang Xia |
| 2025 | Leveraging Explainability of AI-Based Intrusion Detection Systems in a Federated Environment. Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Giustino Claudio Miglionico |
| 2025 | Leveraging Interaction Uncertainty for Enhanced Navigation Performance in Dynamic Crowds. Tao Zou, Haonan Yang, Ping Zhong |
| 2025 | Leveraging Interaction Uncertainty for Enhanced Navigation Performance in Dynamic Crowds. Tao Zou, Haonan Yang, Ping Zhong |
| 2025 | Leveraging Label Potential for Enhanced Multimodal Emotion Recognition. Xuechun Shao, Yinfeng Yu, Liejun Wang |
| 2025 | Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts. Gianlucca L. Zuin, Saulo Martiello Mastelini, Túlio C. Loures, Adriano Veloso |
| 2025 | Leveraging RAG for Privacy Violation Detection and Explainability. Stefano Locci, Davide Audrito, Giovanni Livraga, Marco Viviani, Luigi Di Caro |
| 2025 | Leveraging Statistical Machine Learning to Boost Large Language Models. Zhiyu Ding, Wenpeng Hu, Jianyong Duan, Jiaxin Bai, Minghao Hu, Xian Zhou, Zhunchen Luo, Wei Luo |
| 2025 | Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning. Zhizun Wang, David Meger |
| 2025 | LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization. Xi Wang, Quan Zheng |
| 2025 | Lightweight Adaptive PPO-AHP Enhanced Algorithm for Task Offloading in Vehicular Edge Computing. Zhijie Wu, Hai Fang, Jiadong Tang, Xu Yang |
| 2025 | Lightweight Object Detection via Joint Region-Context Feature Representation. Chenxu Li, Tao Zhang |
| 2025 | Lightweight Self-Supervised Monocular Depth Estimation Based on Multi-Scale Hybrid Attention. Xue Yi, Ruipeng Gao, Gang Han |
| 2025 | Lightweight Spatial-Temporal Resolution Network for Massive MIMO CSI Feedback. Bolin Yan, Zhijun Wang, Wu Guan, Yi Ding, Liping Liang |
| 2025 | Lightweight Transformer with Enhanced Inverted Residual Blocks for Bird Sound Recognition. Xiangyu Cheng, Shengnan Fan, Jianyang Ding, Qin Wu, Long Cheng, Zhilei Chai |
| 2025 | Lightweight Underwater Sonar Target Detection Algorithm Based on Context Feature Fusion. Weijie Zhou, Nan Wei, Longyu Jiang |
| 2025 | Lightweight segmentation neural network for infrastructure maintenance in industrial digital twins. Katarzyna Prokop, Adam Zielonka, Dawid Polap |
| 2025 | Link Prediction with Physics-Inspired Graph Neural Networks. Andrea Giuseppe Di Francesco, Francesco Caso, Maria Sofia Bucarelli, Fabrizio Silvestri |
| 2025 | Lite Mongolian-Chinese Neural Machine Translation: Dynamic Convolution with Long-Range Attention. Chen Zhao, Yatu Ji, Qing-dao-er-ji Ren, Min Lu |
| 2025 | LiteHA-Net: A Lightweight and High-Accuracy Network for Infrared Small Target Detection. Luyao Wang, Xiuhong Li, Dangxuan Wu, Yulong Bai |
| 2025 | Local Sensitivity Analysis of Highly Robust Regression Estimators. Jan Kalina |
| 2025 | Local and Global: Multi-View Modeling for Duplicate Question Detection. Hailong Wang, Jiehao Lei, Jianting Liu |
| 2025 | Localization and Elimination: Object Detection Physical Patch Defense Based on Adversarial Patch Characterization. Zesheng Zhou, Sizheng Fu, Chunjie Cao, Fangjian Tao, Qi Zhang, Jingzhang Sun |
| 2025 | Localizing and Exploiting Concept Areas in LLMs for Downstream Classification Tasks. Alfredo Nascita, Jonatan Krolikowski, Valerio Persico, Antonio Pescapè, Dario Rossi |
| 2025 | LogLLaMA: Transformer-based log anomaly detection with LLaMA. Zhuoyi Yang, Ian G. Harris |
| 2025 | LogReader: General-Purpose Log Analysis via Open-Source Large Language Models. Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Yao Lu, Hailong Yang, Depei Qian |
| 2025 | Logic Consistency Makes Large Language Models Personalized Reasoning Teachers. Bingyuan Zhang, Xulong Zhang, Yong Zhang, Jun Yu, Jianzong Wang |
| 2025 | Long- and Short-Term Feature Fusion Network for River Velocity Forecasting: From Past to Future. Ruijie Gong, Jinping Xie, Kaitao Liu, Lin Guo, Minhong Dong, Yu Pan, Yude Bai |
| 2025 | Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach. Zijiang Yang |
| 2025 | Long-tailed Image Classification on the Specimens of Herbarium Dataset. Raiyan Ahmed, Intisar Tahmid Naheen, Yashfinul Haque, Md. Towsif Abir, Moshiur Farazi, Shafin Rahman |
| 2025 | Long-term Spatio-Temporal Forecasting using Spectral Graph Neural Networks. Xiang Li, Yanping Zheng, Zhewei Wei, Ye Yuan |
| 2025 | Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation. Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew Soon Ong |
| 2025 | Low-Light Image Enhancement based on Hierarchical Discrete Cosine Transform. Zezhao Su, Liang Chen, Xiongkai Lan, Yongxi Hu, Shaofei Luo |
| 2025 | Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading. Yunxuan Wang, Rui Yin, Yumei Tan, Hao Chen, Haiying Xia |
| 2025 | Low-Rank Decomposition Assisted Quantization and Inference Compensation for Quality Large Language Model Inference. Jie Ou, Jinyu Guo, Shuaihong Jiang, Zhaokun Wang, Yueming Chen, Ruini Xue, Wenhong Tian |
| 2025 | Low-visibility Crop Detection in Agricultural Scenes via Point Cloud Guidance. Chen Wan, Teng Jin, Jinyu Yang, Fangyi Wang, Feng Zheng |
| 2025 | M-SAT: Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Actions. Perusha Moodley, Dhillu Thambi, Mark Trovinger, Pramod Kaushik, Praveen Paruchuri, Xia Hong, Benjamin Rosman |
| 2025 | M2SOPT: Multi-scale Multi-modal Survival Outcome Prediction Transformer. Yu Su, Peng Wang |
| 2025 | MAE Yamin Li, Wen Xiang, Liu Duan, Chen Zeng, Qifeng Wu, Yu Duan |
| 2025 | MAF-DETR: Defect Detection with Multi-Scale Adaptive Feature Fusion. Chao Zhang, Wenhong Wu, Hengmao Niu, Bao Shi, Nier Wu, Shuo Wang |
| 2025 | MAFD-GCN: Multi-view Adaptive Frequency Dynamic Graph Convolutional Networks. Tinglong Zhou, Yongxin Su, Yukuan Sun |
| 2025 | MAIF: Efficient Multi-agent Communication via Intention Filter. Chengcheng Wu, Jianwei Niu, Tao Ren |
| 2025 | MAMR: Modality-Aligned Multi-modal Retrieval. YangZhen Xu, Jiawei Mo, Fangzhen Lin, Zebiao Chen, Chengfeng Chen, Shouqiang Liu |
| 2025 | MARL-HE: An Improved Multi-agent Reinforcement Learning-based Pathfinding Method for Fire Evacuation Guidance. Ke Zhang, Dandan Zhu, Xiaoning Zhao, Sun Cherry, Yosuke Fujisawa, Toshiharu Sugawara |
| 2025 | MASNet: A Simple Neural Network Approach to Solve Multidimensional Array Search. Aniket Saxena |
| 2025 | MASTP: More Accurate and Safer Trajectory Prediction Based on a Trajectory Planner. Jiaxiang Wang, Ran Ding, Yaode Wang, Zhiwei Dong, Qian Hou, Jia Guo |
| 2025 | MATIBL: Multi-level Augmented Trajectory Imputation via Bootstrapping Learning. Wenhu Zhang, Tianxi Liao, Yi Xu, Jian Huang |
| 2025 | MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport. Ruichu Cai, Zhenhui Yang, Yuguang Yan, Haiqin Huang, Kaitao Zheng, Haozhi Chen, Zhifan Jiang, Zijian Li |
| 2025 | MAUM: Document-Level Relation Extraction with Memory Augmentation and U-Mamba. Ruiqi Hu, Huiying Li, Han Xue |
| 2025 | MBANet: A Multi-Branch Deep Learning Model for Giant Panda Age Estimation. Xiuwei Yang, Han Su, Rui Xiong, Mengnan He, Yimin Han, Gai Luo, Pengcheng Wu, Qingyue Min, Rong Hou, Peng Chen |
| 2025 | MBTFuse: A transformer-based multi-branch attention network for multi-modal image fusion. Jing Wang, Long Yu, Shengwei Tian |
| 2025 | MCC-Net: Mamba based Consistency Constraints Network for Semi-Supervised 3D Medical Image Segmentation. Yufei Gao, Bingning Liu, Guohua Zhao, Yameng Zhang, Lei Shi, Mengyang He |
| 2025 | MCCVM: Multi-Scale Cross-axes Conv-VMamba for Medical Image Classification. Xuan Chen, Zijian Wang, Qianzi Shen, Yanting Zhang, Cairong Yan |
| 2025 | MCRO-YOLO: An evolved Version of YOLO for Small Object Detection. Junhui Li, Qingxuan Shi, Fang Yang, Sijia Fu, Fangxin Hou |
| 2025 | MD-Mono: Lightweight Self-Supervised Monocular Depth Estimation Based on Multi-Scale Adaptive Detail Enhancement. Peihong Wu, Mengxiao Yin, Pengfei Lai, Zixin Su, Feng Zhan, Bei Hua |
| 2025 | MDA-ML:A Multi-source Domain Adaptation Network with Multi-view Learning for Emotion Recognition. Wang Xin, Jiawen Song, Zhao Yi, Zhiqiang Chang, Zhou Qiaoli |
| 2025 | MDA-ML:A Multi-source Domain Adaptation Network with Multi-view Learning for Emotion Recognition. Wang Xin, Jiawen Song, Zhao Yi, Zhiqiang Chang, Zhou Qiaoli |
| 2025 | MDAFusion: Multi-scale Dual Attention Feature Fusion for Multispectral Object Detection. Aoao Zhao, Shishu Hong, Simin Zhao, Yaling Zhai, Yuchen Tao, Hao Pan |
| 2025 | MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning. Yunze Lin |
| 2025 | MEAN:Multi-Modal Explainability Analysis Network for Fake News Detection. Linlin Gao, Jiana Meng, Di Zhao, Bolin Wang |
| 2025 | MF2former: Multi-Feature Fusion Transformer for Traffic Flow Prediction. Zihan Zhang, Shengjie Zhao, Shilong Dong, Jiafeng Huang, Yuhang Wan, Wenzhen Jia, Hao Deng |
| 2025 | MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation. Wang Li, Xiaoming Sun, Yongqiao You, Zhengqian Feng, Mingle Zhou |
| 2025 | MFSF-NET: Building Extraction Based On Fusion Of Spatial Domain And Multi-scale Frequency Domain. Xiyan Gan, Zihan Gu, Linquan Yang |
| 2025 | MFWNet: Optimizing UAV-based Detection of Wheat Fusarium Head Blight Using Multi-scale Feature Fusion and Wavelet Convolution. Jialin Li, Feilong Li, Dongxiang Li, Mingchen Feng, Ben Gu, Ziqi Liu, Jiange Wang, Rui Mao |
| 2025 | MGDTSI: A Multiple Guidance Distillation-Based Model For Time Series Imputation. Kangyan Li, Junfeng Yuan, Jilin Zhang, Yuyu Yin, Li Zhou, Yan Zeng |
| 2025 | MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation. Yucheng Zeng |
| 2025 | MGTN: Motif-Aware Graph Transformer with Adaptive Redundancy Minimization for Node Importance Ranking. Cangfeng Ding, Lu Cao, Lerong Ma, Zhaoyao Yan, Hao You |
| 2025 | MH-CL: Self-Supervised Action Recognition Method Based on Multi-view Hypergraphic Contrastive Learning for Intangible Cultural Heritage Dance. Xingquan Cai, Xiaoyu Wang, Pengyan Cheng, Kaijie Qu, Haiyan Sun |
| 2025 | MHFL: A Semi-Asynchronous Personalized Federated Learning Framework Based on Model Migration for Edge Clients with Heterogeneous Data. Jia Chen, Yongqiang Gao, Rao Fu |
| 2025 | MIGFM: A Multi-grained Interaction Guided Fusion Model for Multi-modal Aspect-Based Sentiment Analysis. XueLin Xu, Jun Lu |
| 2025 | MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning. Alejandro Guerra-Manzanares, Farah E. Shamout |
| 2025 | MIND: A Unified Multi-Modal Context-Knowledge Model for Task-Oriented Dialogue. Xuelian Dong, JiaLe Chen, Chaoyu Wei, Chehao Ke, Tianyong Hao |
| 2025 | MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Chengqi Zhang, Allison Clarke, Clement Schlegel |
| 2025 | MKPR-GAT : Personalized Recommendation Algorithm for Traditional Chinese Medicine Prescription Based on Knowledge Graph. ChaoBo Zhang, Long Tan |
| 2025 | MLP Neural Network Aided Power Plant Controller to Mitigate Oscillations in Renewable Energy Plant. Swakshar Ray, Ebin Cherian Mathew |
| 2025 | MMCDSR: a Multimodal and Cross-domain Fusion Framework for Sequential Recommendation. Yitong Xu, Guohao Sun, Jinhu Lu, Li Yang, Xiu Fang, Yanting Zhang |
| 2025 | MMFF-DDI:An Efficient Multi-Modal Multi-Granularity Feature Fusion Framework for Drug-Drug Interaction Prediction. An Li, Jing Peng, Peiyuan Wu |
| 2025 | MMSOD: Mixture-of-experts with Adapter for Multimodal Salient Object Detection. Chaojun Cen, Fei Li, Zhenbo Li |
| 2025 | MOKD-EEG:Multi-Task Learning-Based Online Knowledge Distillation for Cross-Task EEG Classification. Qiaoli Zhou, Xiyuan Ye, Shurui Li, Yi Zhao, Qiang Du, Li Ke |
| 2025 | MOLE: Provenance Graph Generation Framework Based on LLM Prompting. Yiming Ren, Haoqiang Wang, Yilong Chen, Zhou Zhou, Chengxiang Si, Qingyun Liu |
| 2025 | MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs. Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang |
| 2025 | MOVie: GPU Memory Optimization for Large-Scale DNNs Training with Virtual Memory Management. Zijun Ma, Jiabao Tang, Songlei Jian, Jianfeng Zhang, Yusong Tan |
| 2025 | MPCGNet: A Multiscale Feature Extraction and Progressive Feature Aggregation Network Using Coupling Gates for Polyp Segmentation. Wei Wang, Feng Jiang, Xin Wang |
| 2025 | MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection. Hang Yang, Ke Liu, Wenchao Weng, Weichen Dai, Andrzej Cichocki, Wanzeng Kong |
| 2025 | MPFormer: Multi-Prior Transformer for Vision-based Scene Understanding in Autonomous Driving. Biao Xu, Zuotao Ning, Shuai Cheng, Yin Zhang, Jiwei Nie, Guixing Xu, Hualin Chen, Wei Liu |
| 2025 | MPM-GS: Optimizing Sparse-View 3D Scene Reconstruction with Virtual View Rendering and Multimodal Regularization. Mingyuan Yao, Shulong Zhang, Yukang Huo, Jiayin Zhao, Xiao Liu, Lin Xue, Yingyi Chen, Haihua Wang |
| 2025 | MPN: A Multimodal Prototypical Part Network for Enhanced Dermatological Diagnosis and Decision Support. Jingwei Zhang, Xiaodong Yang, Ting Li, He Yuan, Hongying Liu |
| 2025 | MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira |
| 2025 | MRAFF: Multi-resolution Attention Feature Fusion Method for Multi-label Fundus Image Ocular Disease Screening. Chucheng Chen, Zheng Gong, Weihao Gao, Zhuo Deng, Lei Shao, Li Dong, Wenbin Wei, Lan Ma |
| 2025 | MRLF: Multimodal Representation Learning for Tabular Data Classification. Guohui Ding, Yongqiang Ren, Zhonghua Li |
| 2025 | MS-DDNet: Efficient Multi-Scale Dual Decoder Network for Ultrasound Thyroid Nodule Segmentation. Juan Wu, Jun Liu, Liping Ye |
| 2025 | MS-MoE: Multi-modal Structural Mixture of Experts Framework for Pan-Sharpening. Hao Luo, Zhiwei Zhong, Lingyu Zhu, Yudong Mao, Shiqi Wang |
| 2025 | MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss. Jiali Zhang, Thomas S. White, Haoliang Zhang, Wenqing Hu, Donald C. Wunsch, Jian Liu |
| 2025 | MSALNet: Capturing Contextual Relationships for Monocular 3D Visual Grounding. Keyu Guo, Yongle Huang, Yongfeng Bu, Hongkai Wei, ShiJie Sun, Xiangyu Song |
| 2025 | MSCANet: A Multi-Scale Convolutional Attention Network for Cardiac Image Segmentation. Jianing Li, Changfang Chen, Zhaoyang Liu, Hongkuan Zhang |
| 2025 | MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages. Naizhu Jin, Zhong Li, Tian Zhang, Qingkai Zeng |
| 2025 | MSEU-Net: Multi-Scale Segmentation and Baseline Estimation in Fetal Heart Rate Time Series. Yu Lu, Qiong Zhu, Leya Li, Heng Zhao, Yuting Peng, Pufan Cai, Shijie Shi |
| 2025 | MSFF-SNet: An End-to-end Object Sorting Model with Multi-head Self-attention and Multi-scale Feature Fusion. Xiaoya Fan, Jiaxiao Wang, Zilu Wang, Zhonghua Huang, Wenjie Yang, Zhong Wang |
| 2025 | MSFINet: Multi-Scale Feature Interaction Fusion Network for Skin Lesion Image Segmentation. Xin Wang, Yuewen Luo, Wei Wang |
| 2025 | MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection. Jiaqi Zhang, Zhuodong Liu, Kejian Yu |
| 2025 | MSIA-SDiT3D: 3D Multi-Scale Interpolation Attention in Lightweight Diffusion Transformers for 3D Point Cloud Generation. Xiaobao He, Dan Huang |
| 2025 | MST-GFN: Multimodal Spatiotemporal Graph Fusion Network for Abnormal Gait Recognition Using Wearable Sensors and Skeleton Data. Linna Chen, Liang Wang, Jianning Wu |
| 2025 | MSTC-Net: MultiScale TransConv Network for Non-Invasive Blood Pressure Prediction. Yong Zhou, Yunliang Zhou, Xiaogang Xu |
| 2025 | MSTDA: Multi-Syntax Template Data Augmentation For Aspect Sentiment Quad Prediction. Liulong Gao, Shaokang Zhang, Ning Ran, Liang Wang |
| 2025 | MTANET-3D: 3D Multimodal Triplet Attention Fusion Network for Lung Cancer Histology Classification. Yi Lei, Hongtao Ji, Tong Zhang |
| 2025 | MTD-Net: Moving Target Defense for Defending Neural Networks Adversarial Attacks. Zeshan Pang, Shasha Guo, Yuyuan Sun, Rongtao Liao, Xuehu Yan, Yuliang Lu |
| 2025 | MTLP-MDG: Multi-Task Learning Framework using Probabilistic Distribution Perception for Missing Data Generation. Jiahao Qin, Kan Liu, Yuxiang Cai, Tianrui Ji, Feng Liu |
| 2025 | MTPKDistillNet: Multi-Teacher Prior Knowledge Distillation Network for Lung Tumor Surgical Section Image Classification. Yonglin Peng, Qizhi Huang, Chengchuang Lin, Gansen Zhao, Haiyu Zhou |
| 2025 | MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. Zhe Li, Xuanxuan Li, Zhongwen Rao, Lujia Pan, Zenglin Xu |
| 2025 | MTSFormer: Multimodal Spectral-Sequential Fusion Network for Traffic Flow Prediction. Wenfang Li, Haoyu Yang, Haiquan Wu |
| 2025 | MTSR: Mamba-Transformer Network for Super-Resolution Reconstruction on Single Hyperspectral Image. Zhihua Xie, Guohua Miao, Haolin Chang, Rui Chen |
| 2025 | MVBMR: Multi-View Breast Mass Recognition Network. Hua Yuan, Ning Zhao, Shoubin Dong, YiMao Yan |
| 2025 | MYOLO-Drone: Lightweight Small Object Detection Network for Drone-Based Applications. Yue Yang, Xiaoqiang Song, Xu Wang, Jinhao Song, Zilong Li |
| 2025 | MaCSE: Multi-Agent Ranking Distillation for Contrastive Learning of Sentence Embeddings. Zekai Zhi, Zhilan Wang, Rize Jin, Kehui Song, Da-Jung Cho, He Wang |
| 2025 | MagicGS++: Efficient 2D supervision for High-Quality 3D Content Generation. Jie Li, Runfeng Lv, Zhenqiang Li, Liang Liu, Lijie Jia, Yangjie Cao |
| 2025 | Make "V" and "Q" Inseparable: Deliberately Dual-Channel Adversarial Learning for Robust Visual Question Answering. Hanxiao Wu, Zhaowen Li, Feilong Chen, Zhiyu Wang, Jiali Xu, Liquan Hu, Huaixuan Cao, Yin Li, Jinqiao Wang, Jianlong Chang |
| 2025 | MalSE: Malware Detection Based on Multi-Dimensional API Call Sensitivity Estimation. Ziqian Chen, Wei Xia, Zhen Li, Gang Xiong, Gaopeng Gou, Haikuo Li, Heng Zhang |
| 2025 | Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation. Jincheng Zhang, György Fazekas, Charalampos Saitis |
| 2025 | Mamba-based Layer-wise Progressive Fusion Network with Depthwise Enhancement for Low-resource Speech Recognition. Xuanda Chen, Dingxin Cheng, Fei Hou, Bin Jiang, Xuchen Li, Wenyu Wang, Meixia Qu |
| 2025 | Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models. Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | Mapping EEG Sensor Networks: Persistent Topology-Driven Learning for Affective States Recognition. Kumar Gaurav, Neha Sharma, Jaykumar Landge, Tharun Kumar Reddy Bollu |
| 2025 | Mapping Override Behavior: Investigating Why and How Artists Reject AI Suggestions in Collaborative Creation. Guangrui Fan, Dandan Liu, Lihu Pan, Yishan Huang |
| 2025 | Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration. Haojia Gao, Haohua Que, Kunrong Li, Weihao Shan, Mingkai Liu, Rong Zhao, Lei Mu, Xinghua Yang, Qi Wei, Fei Qiao |
| 2025 | MarIns3D: A Open Vocabulary 3D Instance Segmentation Model with Mask Refinement. Haiyang Li, Mengyun Cao |
| 2025 | Masked strategies for images with small objects. Martin Gillis, Ming Hill, Paul Hollensen, Alan Fine, Thomas Trappenberg |
| 2025 | MastSAM: Solving Multi-view Inconsistency Segmentation by Sequence Matched 3D Coordinates. Yuetong Chen, Yihan Fang, Yunya Wang, Jiayue Dai, Kenneth Xu, Butian Xiong |
| 2025 | Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu |
| 2025 | Maximizing Eye Segmentation Accuracy with YOLO. Arianna De Vecchi, Sabrina Azzi, Pietro Bartoli, Marco Paracchini, Diana Trojaniello, Federica Villa |
| 2025 | McCann's Interpolation for Gradual Domain Adaptation on the Wasserstein Geodesic. Mourad El Hamri, Issam Falih, Yves Rozenholc |
| 2025 | MeFacialNet: High-Accuracy Micro-expression Recognition on Facial Optical Flow. Shenggang Qian, Pinyi Chen, Runzhe Zhang, Zhihu Zhou, Keji Mao |
| 2025 | MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning. Ningyuan Xi, Xiaoyu Wang, Yetao Wu, Teng Chen, Qingqing Gu, Luo Ji |
| 2025 | Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing. Yuchen Guo, Zhicheng Dou, Huy H. Nguyen, Ching-Chun Chang, Saku Sugawara, Isao Echizen |
| 2025 | Measuring Multivariate Divergences to Improve Neural Network Performances. Gennaro Auricchio, Paolo Giudici, Giuseppe Toscani, Adelaide Berardinelli |
| 2025 | MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction. Xuyin Qi, C. Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To |
| 2025 | Medical Time-Series Multivariate Interactions Analysis based on Mutual Information. Zhiyuan Xu, Kai Niu, Xiao Xu, Jie Dong, Zhiqiang He |
| 2025 | Membership Inference Attacks against Fine-Tuned Stable Diffusion Models Based on Semantic Loss Trajectory. Jing Lai, Yongfeng Qian, Yixue Hao |
| 2025 | Message Queue Throughput Time-Series Prediction by Fusing GANformer and TCN-Attention. Dong Shen, Chu Xu, Xiangzhao Lv, Zongtang Hu |
| 2025 | Meta-GraphKAN:Few-Shot Graph Kolmogorov Arnold learning Networks for Molecular Property Prediction. Yu Liu, Xinqi Li, Xianguo Zhang |
| 2025 | Meta-level Experience Sharing for Autonomous Systems by Fusing Generative Hierarchical Dynamic Bayesian Networks. Carlo S. Regazzoni, Abrham Shiferaw Alemaw, Pamela Zontone, Lucio Marcenaro |
| 2025 | Meta-optimized Session-based Recommendation with Adaptive Multi-level User Intent Integration. Zhenchao Wu, Hongteng Xu, Xu Chen |
| 2025 | Metaheuristically Enhanced ANN-Based Intrusion Detection System with Explainable AI Integration. Mujeeb Ur Rehman, Muhammad Abrar, Sohail Khalid, Muhammad Kazim, Vishal Krishna Singh |
| 2025 | MiDream: Multi-Domain Retrieval Enhancement with Mixture-of-Experts. Kehui Tan, Wenjing Pang, Jiayang Yao, Tianqi Pang, Xiangyang Liu, Chenyou Fan |
| 2025 | MiaHHGNN: A Drug-Target-Disease Prediction Model Based on Heterogeneous Hypergraphs and Natural Similarities. Jian Miao, Mengjie Chen, Junjie Chen, Cunquan Qu |
| 2025 | MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation. Amaan Izhar, Nurul Japar, Norisma Idris, Ting Dang |
| 2025 | Micromagnetic and quantitative prediction of hardness of Cr12MoV steels using transfer learning method. Cunfu He, Xianxian Wang, Jie Gao, Xiucheng Liu, Ping Fu, Mengshuai Ning |
| 2025 | Minimally Supervised Regression using Topological Projections in Self-Organizing Maps. Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell |
| 2025 | Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling. Min Sik Byun, Wendy Wan Yee Hui, Wai Kwong Lau |
| 2025 | Mitigating Channel Redundancy for Multivariate Time Series Forecasting. Guoqing Xiao, Boxiang Qin, Yuedan Chen, Wangdong Yang |
| 2025 | Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss. Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning. Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao |
| 2025 | Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization Leveraging MITI Code. Vivek Kumar, Pushpraj Singh Rajawat, Eirini Ntoutsi |
| 2025 | Mixed Policy-Space Response Oracles. Junyu Zhang, Feihong Yang, Jian Wang, Chao Wang, Xudong Zhang |
| 2025 | MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition. Qiannan Fan, Zhuoyang Li, Jitong Li, Chenyang Cao |
| 2025 | MoE-FTR: A Mixture of Experts Framework for Turbofan engines Remaining Useful Life estimation. Mattia Limone, Corinna Marchili, Luigi Ciolli |
| 2025 | MoEFuse: Degradation-Aware Fusion of Infrared and Visible Images Using Mixture of Experts. Aowei Yu, Yueyang Li, Weimiao Feng |
| 2025 | MoEFuse: Degradation-Aware Fusion of Infrared and Visible Images Using Mixture of Experts. Aowei Yu, Yueyang Li, Weimiao Feng |
| 2025 | MoHyperSynergy: A multimodal representation fusion method using hypergraph neural networks for drug synergy prediction. Zelong Chen, Yue Hong, Yanni Xu, Xinyi Zhang, Menglong Zhang, Ruichao Hu, Juan Liu, Xiangrong Liu |
| 2025 | Modality Modulation with Adaptive Fusion for Multimodal Sentiment Analysis. Aihua Zheng, Yongbo Wang, Jiaxiang Wang, Xiaofei Sheng, Wenjuan Cheng |
| 2025 | Modality Modulation with Adaptive Fusion for Multimodal Sentiment Analysis. Aihua Zheng, Yongbo Wang, Jiaxiang Wang, Xiaofei Sheng, Wenjuan Cheng |
| 2025 | Modality-Independent Graph Convolutional Networks with Multi-Task and Hybrid cross-attention for Subject-Independent Emotion Recognition. Qiaoli Zhou, Jiawen Song, Qiang Du, Li Ke, Yi Zhao |
| 2025 | Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing. Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg |
| 2025 | Modeling Diverse and Feasible Retrosynthesis via a Layer-Wise Conditional Variational Transformer. Huibin Wang, Zehui Wang, Ying Qian |
| 2025 | Modeling Relational Correlations with Dual-View Transformation for Temporal Knowledge Graph Forecasting. Yao Xiao, Zihao Jiang, Enqiang Wang, Jin Liu |
| 2025 | Modeling Social Opinion Evolution with LLM Agents: Integrating Personality Traits with Embedded Opinion Dynamics. Fan Yang, Jie Bai, Linjing Li, Daniel Dajun Zeng |
| 2025 | Modelling Reinforcement Learning in the Basal Ganglia: A Neuromodulated Approach on SpiNNaker. Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya |
| 2025 | Modelling constant and cell-type specific CTCF sites by using Convolutional Neural Networks. Edward Sanders, Simone G. Riva, Emily Georgiades, Matthew Baxter, Jim R. Hughes |
| 2025 | Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control. Abdelhakim Amer, David Felsager, Yury Brodskiy, Andriy Sarabakha |
| 2025 | Modulo Video Recovery via Selective Spatiotemporal Vision Transformer. Tianyu Geng, Feng Ji, Wee Peng Tay |
| 2025 | MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu |
| 2025 | Mongolian Sentiment Analysis for Isomorphism-enhanced Projection Word Embedding and BiDTCN. Yuxin Zhao, Nier Wu, Menghan Li, Yukun He |
| 2025 | MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection. Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | Monocular Endoscopic Tissue 3D Reconstruction with Multi-Level Geometry Regularization. Yangsen Chen, Hao Wang |
| 2025 | Mooe: Optimal Expert Deployment Scheme in Low-Rank Adaptation architecture. Shuzhen Sun, Jing Zhang, Xindian Ma, Peng Zhang |
| 2025 | Movie-ing the EEG: a Hybrid CNN-Transformer-based Framework for decoding EEG signals for BCI applications. Muhammad Suffian Nizami, Cosimo Ieracitano, Francesco Carlo Morabito, Nadia Mammone |
| 2025 | Multi-Agent Transformer-based Automated Imbalanced Time Series Classification with Hyperparameter Optimization. Nai-Hsin Cheng, Yujia Wu, Vincent S. Tseng |
| 2025 | Multi-Behavior Graph Recommendation with Fusion of Sequential Information. Chunjing Xiao, Peng Han, Ranhao Guo, Wei Fan, Lan Liu |
| 2025 | Multi-Channel Learning Framework Based on Relation-Aware Transformer For Drug Synergy Prediction. Kaiyuan Zhang, Yifei Huang, Runze Wang, Tianyi Zang, Yanli Zhao |
| 2025 | Multi-Frequency Aware Reconstruction Model For Unsupervised Graph Anomaly Detection. Xinyi Wan, Pengda Li, Yihong Huang, Liping Wang |
| 2025 | Multi-Modal Multi-Domain Fake News Detection Based on Global-Local Contrastive Learning. Siyu Li, Jianhua Chi, Xianguo Zhang |
| 2025 | Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers. Chengyi Du, Keyan Jin |
| 2025 | Multi-Object Pedestrian Tracking Based on YOLO-RED and Hybrid-SORT. Kai Wang, Jian Wang, Huawei Liang |
| 2025 | Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm. Danial Zendehdel, Enrico De Santis, Antonino Capillo, Philip Odonkor, Antonello Rizzi |
| 2025 | Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation. Xiaoyu Wang, Ningyuan Xi, Qingqing Gu, Luo Ji |
| 2025 | Multi-Perspective Protein Representation Learning for Protein-Protein Interaction Prediction. Long Wang, Tong Zhang, Bo Huang |
| 2025 | Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering. Renda Han, Guangzhen Yao, Mingyuan Li, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian |
| 2025 | Multi-Representation Local-Global Deep Learning Architecture for Molecular Property Prediction. Kewei Zhang, Xin Wen, Jie Xiang, Xin Wang, Yuan Gao, Rui Cao |
| 2025 | Multi-Reward Fusion: Learning from Other Policies through Distillation. Yiwen Zhu, Jinyi Liu, Wenya Wei, Zhou Fang |
| 2025 | Multi-Scale Adaptively-Aware and Recalibration Network for Brain Tumor Segmentation with Missing Modalities. Xin Li, Guoheng Huang, Zhipeng Zheng, Xuhang Chen, Zhixin Huang, Lianglun Cheng |
| 2025 | Multi-Scale Feature Recognition and Lightweight Cotton Pest Detection Network Based on YOLOv10. Xinkang Li, Liejun Wang, Shaochen Jiang |
| 2025 | Multi-Scale Loss Components in 3DGS-based RGB-D SLAM Systems. Yi Sheng, Songzhi Su |
| 2025 | Multi-Scale Node Neighborhood Aggregation Via Graph Coarsening and Transformer. Mohammadreza Ghanbari, Saeed Asadi Bagloee, Jianzhong Qi, Majid Sarvi |
| 2025 | Multi-Scale Sequence Fusion Model for Multimodal Sentiment Analysis: Leveraging Image-Text Interaction and Sequence Modeling. Yulei Zhang, Guangli Zhu, Jixu Zhang, Jiajia Liu, Chunqing Wang, Shunxiang Zhang |
| 2025 | Multi-Source Feature Fusion and Spatio-Temporal Unet for Precipitation Nowcasting. Dufu Liu, Peng Zheng, Hui Deng, Xia Yuan, Xi Wu, Jing Hu |
| 2025 | Multi-Stage Feature Fusion Network for infrared and visible image fusion. Kailun Yang, Xiaoming Gao |
| 2025 | Multi-Stream Collective Deliberation Network for Open-Set Fine-Grained Visual Classification. Shangjun Zhong, Dan Wan |
| 2025 | Multi-View Graph Learning with Dynamic Evidential Fusion for Response Forecasting. Lu Yin, Jinchuan Zhang, Yan Zhou, Liangjun Zang, Zhaoxing Li, Songlin Hu |
| 2025 | Multi-View Hallucinatory Feature Generation Network for Isolated Sign Language Recognition. Zhong Guan, Yongli Hu, Yanfeng Sun, Baocai Yin |
| 2025 | Multi-agent Deep Reinforcement Learning for Fake News Detection. Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville |
| 2025 | Multi-channel Cross-modal Fusion With Contrastive Learning For Multimodal Sentiment Analysis. Ding Zhang, Shaokang Zhang, Ning Ran, Liang Wang |
| 2025 | Multi-criteria Rank-based Aggregation for Explainable AI. Sujoy Chatterjee, Everton Romanzini Colombo, Marcos Medeiros Raimundo |
| 2025 | Multi-depth transfer learning-based approaches via generative models for foveal avascular zone segmentation in OCTA images. Ángel Regueiro, Elena Goyanes, Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2025 | Multi-layer Structure Autoencoder for Deep Learning Using Kernel Method. Pengzhi Li, Yan Pei, Jianqiang Li |
| 2025 | Multi-level Feature Interaction and Local-global Dynamic Fusion Network for Medical Image Segmentation. Fengyuan Xu, Junqing Liu |
| 2025 | Multi-level Hypergraph Contrastive Learning with Centrality-based Adaptive Augmentation. Yu Liu, Mingjing Jiang |
| 2025 | Multi-level Information Fusion for Group Activity Recognition Using the Banzhaf Power Index. Liping Zhang, Baiyue Feng, Yuqing Ye, Qi Guo, Zhihui Wang, Huijuan Wu |
| 2025 | Multi-modal Feature Enhancement and Prototype Optimization for Few-Shot Segmentation. Ruizhe Zhang, Yanjun Yin |
| 2025 | Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data. Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu |
| 2025 | Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts. Yajing Xu, Zhiqiang Liu, Jiaoyan Chen, Mingchen Tu, Zhuo Chen, Jeff Z. Pan, Yichi Zhang, Yushan Zhu, Wen Zhang, Huajun Chen |
| 2025 | Multi-modal Multi-layer Graph Neural Network for early diagnosis of Alzheimer's Disease. Yang Chen, Ke Xie, Kun Cheng, Hui Peng, Shanmei Liu |
| 2025 | Multi-scale Collaborative Diffusion Autoencoder. Luyang Long, Liang Ge, Xiang Wu, Sijie Tang, Fengming Liu |
| 2025 | Multi-scale Feature Synergistic and Semantic Complementary Network for Remote Sensing Image Object Detection. Zhiping Dan, Caiming Xu, Shuzhen Wan, Qiao Li, Guoqing Xiao, Chenhao Lv |
| 2025 | Multi-scale Weight-residual Transformer for Uniand Multi-modal Representation Learning. Dingxin Cheng, Jiawei Gu, Kang Xie, Mengyue Zhang, Gang Wang, Bin Jiang |
| 2025 | Multi-scale spatio-temporal cross human motion prediction based on self-attention mechanism. Chuyi Gao, Haidong Hu, Jiucheng Xie |
| 2025 | Multi-stage Refined Graph Neural Network for Few-shot Anomaly Detection. Tian Zhao, Chunjing Xiao |
| 2025 | Multi-stream Complementary Interchange Consistency for Semi-Supervised Medical Image Segmentation. Yufei Gao, Hua Feng, Yucheng Shi, Lei Shi, Yameng Zhang |
| 2025 | Multi-view Clustering via Bi-level Decoupling and Consistency Learning. Shihao Dong, Yuhui Zheng, Huiying Xu, Xinzhong Zhu |
| 2025 | Multi-view Continual Learning with Scarce Annotation. Jin Yuan, Sheng Wu |
| 2025 | Multi-view Fake News Detection Model Based on Dynamic Hypergraph. Rongping Ye, Xiaobing Pei, Ruiqi Wang |
| 2025 | Multi-view Geometry-Aware Diffusion Transformer for Novel View Synthesis of Indoor Scenes. Xueyang Kang, Zhengkang Xiang, Zezheng Zhang, Kourosh Khoshelham |
| 2025 | Multigrid-Inspired Graph Neural Networks for Selection of Solvers and Preconditioners in Sparse Linear Systems. Xingyu Zhou, Shuzi Niu, Huiyuan Li, Tao Yuan, Ziwei Li |
| 2025 | Multimodal Data Augmentation for Dynamic Fusion. Haining Li, Shan Huang, Changqing Zhang |
| 2025 | Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi |
| 2025 | Multimodal Graph Learning and Sequential Modeling for Video Recommendation. Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi |
| 2025 | Multimodal Lumbar Spine Segmentation Pipeline with Optimized Deep Learning and Network Pruning. Muhammad Usman Saeed, Wang Bin, Jinfang Sheng |
| 2025 | Multimodal Object Detection by Adaptive Channel Enhancement and Attention Fusion. Yaqi Mei, Tianyuan Zhang, Huobin Tan |
| 2025 | Multimodal Sentiment Analysis Based on Heterogeneous Contrastive Representation Learning with Prior Knowledge Enhancement. Lichao Cui, Shaojie Liu, Lei Wang, Shanliang Yang |
| 2025 | Multimodal Video Moment Retrieval: A Survey. Wenwen Su, Min Li, Junxing Ren, Lin Chen, Chenghua Gao, Jitao Fu, Haobin Sun |
| 2025 | Multimodal enhanced Explainable Recommendation with Contrastive Learning. Kaihan Zhang, Zixuan Wang, Kangchi Liu, Ping Chen, Peng Song, Jiye Liang |
| 2025 | Multiple Population Alternate Evolution Neural Architecture Search. Juan Zou, Han Chu, Yizhang Xia, Junwen Xu, Yuan Liu, Zhanglu Hou |
| 2025 | Multiplicative Stochastic Gradient Descent for fast and robust deep learning training. Manos Kirtas, Nikolaos Passalis, Anastasios Tefas |
| 2025 | Multiscale Attention Knowledge Distillation for Object Detection. Fengshuo Zhang |
| 2025 | Multitask Stress Detection on Low-frequency Physiological Signals. Yiming Rong, Jinshi Cui, Li Wang, Chen Zhang, Guosong Gao |
| 2025 | Multivariate Load Interval Prediction Considering Dispatch Costs For Integrated Coal Mine Energy Systems. Xiaoxuan Xing, Dunwei Gong, Yong Zhang, Xiaoyan Sun, Jing Sun, Yongde Guo |
| 2025 | Muppet: A Modular and Constructive Decomposition for Perturbation-Based Explanation Methods. Quentin Ferré, Ismail Bachchar, Hakima Arroubat, Aziz Jedidi, Youssef Achenchabe, Antoine Bonnefoy |
| 2025 | Mutual Information and Trajectory-Awared Reinforcement Learning for Multi-Agent Path Finding. Chuang Zhao, Ying Liu |
| 2025 | Mutual Information-Guided Subtask Selection for Zero-Shot Generalization in Multi-Agent Reinforcement Learning. Shijie Wu, Yuan Yao, Wenqi Zhang, Yining Zhu, Yujiao Hu, Gang Yang, Xingshe Zhou |
| 2025 | NCMI: A Framework for Missing Modality Generation in Multi-modal Recommendation. Ningyu Wu, Lilin Cai |
| 2025 | NH-YOLOv5: An Improved YOLOv5 for Real-Time Traffic Sign Detection. Zixuan Li, Jianyong Song, Boyang Yu, Yue Cao, Hai Lin, Zhili Sun, Minho Jo, Minho Jo, Khalil Khan |
| 2025 | NI-MTSC: Neighborhood Interpolation Data Augmentation-based Multivariate Time Series Classification. Cuicui Yang, Zongwen Fan, Jin Gou, Cheng Wang |
| 2025 | NILMixer: A Novel Multi-Seq2Seq Model for Load Disaggregation in Long-Term Windows. Houyi Zhu, Chao Wang, Bin Wang, Zonghui Wang, Youlong Zhang, Keyan Jin |
| 2025 | NP4Q: Nice Point for Post-training Quantization of Object Detection Models. Shunan Zhou, Jingfei Jiang, Jingwei Xu, Liangwei Li, Minghua Zhu |
| 2025 | NPBD: Neighbor Pattern-Based Backdoor Detection for Node Classifiers. Mengfan Li, Ming Zhong |
| 2025 | NPFGLU: Unlearning Links in Graph Neural Networks. Zhen Hu, Zhe Yang |
| 2025 | NPMTiny: A Group-Decision-Oriented Non-Performing Mind Benchmark. Jiaxiang Li, Danli Wang, Xinyuan Wang |
| 2025 | NR-DETR: A Lightweight Real-Time Fabric Defect Detection Model with Multi-Scale Enhancement. Huijuan Hao, Lei Xu, Conghui Gao, Wenpeng Wang, Lijun Wen, Can Li, Sijian Zhu |
| 2025 | Nano VS: a Neural Perception Layer for Fully Onboard Visual Semantic Mapping on Tiny Robots. Thomas Rüegg, Marco Giordano, Tommaso Polonelli, Luca Benini, Michele Magno |
| 2025 | NanoHydra: Energy-Efficient Time-Series Classification at the Edge. Cristian Cioflan, José Fonseca, Xiaying Wang, Luca Benini |
| 2025 | Natural Language Explanation Generation for Question Answering. Jinghong Qu, Zhongqing Wang, Guodong Zhou |
| 2025 | Natural Language Explanation Generation for Question Answering. Jinghong Qu, Zhongqing Wang, Guodong Zhou |
| 2025 | Navigation With QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning. Alexi Canesse, Mathieu Petitbois, Ludovic Denoyer, Sylvain Lamprier, Rémy Portelas |
| 2025 | NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection. Chi Huang, Xinyang Li, Yansong Qu, Changli Wu, Xiaofan Li, Shengchuan Zhang, Liujuan Cao |
| 2025 | NeckLymphNet: An Efficient Neck Lymph Node Detection Network for Ultrasound Images. Weitao Tan, Zhang Yi |
| 2025 | Neural Adaptive Dependent Task Placement for IoT Streaming Applications. Yue Ding, Yufeng Li, Chenhong Cao, Qi Liu |
| 2025 | Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu |
| 2025 | Neural Architecture Generation via Contrastive Representation Learning. Jingrong Xie, Yuqi Feng, Minxiao Zhong, Yanan Sun |
| 2025 | Neural Architecture Search-Based Meta-Reinforcement Learning in Robotic Simulation Environments. Jun Guo, Xiao Zheng, Yuanfang Chen, Xianchao Zhang |
| 2025 | Neural Network Interpretability and Incremental Correction Based on Conceptual Spatial Relationships. Lijun Gao, Luli Zhu |
| 2025 | Neural Surface Priors for Editable Gaussian Splatting. Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Wojtek Palubicki, Przemyslaw Musialski, Przemyslaw Spurek |
| 2025 | Neural Velocity for hyperparameter tuning. Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto |
| 2025 | Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge. Amogh Joshi, Sourav Sanyal, Kaushik Roy |
| 2025 | Neurocontrol of Triple Coupled Inductor Based Multi-Channel LED Driver. Halleluyah Kupolati, Ganesh K. Venayagamoorthy, Njoroge Gitau, Raj Naidoo |
| 2025 | Neuromorphic eye tracking: a survey. Simone Mentasti, Andrea Simpsi, Andrea Aspesi, Aaron Tognoli, Luca Merigo, Matteo Matteucci |
| 2025 | Next Point of Interest Prediction Using Graph Attention Networks and Cognitive Navigational Styles. Valerio Ponzi, Samuele Russo, Janusz T. Starczewski, Imad Eddine Tibermacine, Christian Napoli |
| 2025 | NoisConFuse-Net: Noise Perturbed Encoder with Complementary Fused Dual Decoder and CLIP based Contrastive Regulariser for CT Denoising. Munish Daroch, Ranjeet Ranjan Jha, Aditya Nigam |
| 2025 | NoiseGuard: A Three-Pronged Solution to Malicious Traffic Detection Under Label Noise and Class Imbalance. Jiangtao Ding, Zhicheng Xu, Junli Zheng, Hongbing Cheng |
| 2025 | Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks. Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique |
| 2025 | Non-Dissipative Graph Propagation for Non-Local Community Detection. William Leeney, Alessio Gravina, Davide Bacciu |
| 2025 | Non-Intrusive Load Monitoring Missing Data Recovery via Nonlinear PID-Incorporated Latent Factorization of Tensors. Yiran Wang, Tangtang Xie, Hao Wu |
| 2025 | Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism. Yuqi Xiong, Yang Wen |
| 2025 | Norm-Based Generalization Bounds can be Arbitrarily Loose for Equivariant Tensor Networks. Wenliang Liu, Guanding Yu |
| 2025 | NouMenn: Accurate Reconstructive Privacy Protection for Facial Soft Attributes via Style Code. Zihan Fang, Biao Jin, Changyang Zhang |
| 2025 | Novel AI Frameworks for ESG Performance Prediction: ESG-RAG and SSA-iLSTM. Lingyan Zhao, Xin Tang, Yongqiang Ma, Wei Huang, Nanning Zheng |
| 2025 | Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks. Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella |
| 2025 | OA-SORT: Improving Multi-Object Tracking Performance with Occlusion Aware ViT and Adaptive Appearance Update. Qian Li, Jinlong Yang |
| 2025 | OCAGE: An Input-Level One-Class Backdoor Detection Method Using Feature Map Extraction for DNN. Han Lin Tun, Haiyang Yu, Tian Xie, Ping Yi |
| 2025 | OCMDP: Observation-Constrained Markov Decision Process. Taiyi Wang, Jianheng Liu, Bryan Lee, Zhihao Wu, Yu Wu |
| 2025 | ODE: Decision-based Black-box Adversarial Attack through Orthogonal Distribution Evolution. Hongyi Liu, Yutong Fang, Tong Jia, Ying Li |
| 2025 | OPSeg: Adapting Segment Anything Model 2 with Prompts for Efficient Instance Shadow Detection. Yanfei Li, Jun Xu, Yuan Zeng, Yi Gong |
| 2025 | ORSA-T: Multi-View Object-Centric Scene Representation Learning with Slot Attention and Transformer. Henri Placek, Chris Child, Tillman Weyde |
| 2025 | OWAS-DRL: Online Workflow Application Scheduling in Dynamic Mobile Edge Computing with Deep Reinforcement Learning. Yuhua Ye, Cheng Qian, Gansen Zhao |
| 2025 | OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework. Jiaxi Li, Lu Yin, Xilu Wang |
| 2025 | Obj3Dify: Occlusion-Invariant 3D Reconstruction of Hand-Held Objects. David Mulero-Pérez, Pablo Ruiz-Ponce, Manuel Benavent-Lledó, David Ortiz-Perez, José García Rodríguez |
| 2025 | Object Detection in Remote Sensing Images Based on Knowledge Graph and Visual Attention. Yibo Liu, Haisu Zhang, Feng Wen, Xu Wang, Luyao Wang, Xin Cheng |
| 2025 | Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix. Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König |
| 2025 | Offline Model-based Optimization with Fisher Divergence Regularization. Mingcheng Chen, Minkai Xu, Yichen Zhu, Haoran Zhao, Weinan Zhang, Yong Yu |
| 2025 | Omni-Dimensional Dynamic Convolution with Global-Local Multi-Scale Aggregation for Robust Spoof Speech Detection. Hai Zhong, Wenhao Wang, Jin Zhang |
| 2025 | Omni-V2X: A Vision-Language Model for Actionable Insights in Vehicle-to-Everything Systems. Nicanor Mayumu, Xiaoheng Deng, Patrick Mukala, Saif Ur Rehman Khan, Muhammad Usman Saeed |
| 2025 | On Sequential Maximum a Posteriori Inference for Continual Learning. Menghao Waiyan William Zhu, Ercan Engin Kuruoglu |
| 2025 | On The Impact of Different Batch Sizes on Byzantine Robustness in Federated Learning. Xinjian Huang, Yuxin Wei, Yunxuan Li, Yishuo Zhao, Bo Du |
| 2025 | On a Fast and Explainable REC HEMS Based on Kolmogorov-Arnold Networks. Antonino Capillo, Enrico De Santis, Antonello Rizzi |
| 2025 | On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels. Ayana Moshruba, Shay Snyder, Hamed Poursiami, Maryam Parsa |
| 2025 | On the Volatility of Shapley-Based Contribution Metrics in Federated Learning. Arno Geimer, Beltran Fiz, Radu State |
| 2025 | On the choice of Vector Symbolic Architectures for Time Series Classification with HDC-MiniROCKET. Marcel Unger, Kenny Schlegel, Peter Protzel, Peer Neubert |
| 2025 | One-shot Deep Learning Pressure Solver for 2D Eulerian Smoke Simulation Application. Michal Wieczorek, Jakub Silka, Katarzyna Wiltos |
| 2025 | Online Continual Reinforcement Learning-Based Optimal Output Tracking Control of Nonlinear Systems Using a Multilayer Observer. Irfan Ahmad Ganie, Sarangapani Jagannathan |
| 2025 | Online Learning Approach for Rough Set C-Means Clustering Using Nodes Approximating the Data Distribution. Seiki Ubukata, Ryoga Hanafusa, Katsuhiro Honda |
| 2025 | Online Learning of a Real-World Quadcopter Attitude Dynamics using a Self-Organizing RBF Network. Teo Protoulis, Alex Alexandridis |
| 2025 | Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA). Hiroto Tamura, Kantaro Fujiwara, Kazuyuki Aihara, Gouhei Tanaka |
| 2025 | Optimization model combining sparse nonlinear dynamic identification and neural network: Research based on battery capacity prediction. Quanxi Guo, Francesco Grimaccia, Alessandro Niccolai |
| 2025 | Optimization of Graph Neural Networks Training Using Graph Reordering. Guohua Wen, Yi Zou, Xianfeng Song |
| 2025 | Optimization of Sparse Phased Arrays Using Deep Learning. Jackson Earls, Lior Maman, David Lin Yi Lu, Amir Boag, Pierre Baldi |
| 2025 | Optimization of Task Offloading Strategy based on Lyapunov and Deep Reinforcement Learning in Multi MEC Systems. Shuang Liang, Xiaolan Xie |
| 2025 | Optimized Domain-Specific Text Processing with Keyword Knowledge Distillation (KKD). Momojit Biswas, Anmol Singhal, Preethu Rose Anish |
| 2025 | Optimized Local Updates in Federated Learning via Reinforcement Learning. Ali Murad, Bo Hui, Wei-Shinn Ku |
| 2025 | Optimized Random Vector Functional Link Network Approach Applied to Gas Turbine Emissions Prediction. Leandro dos Santos Coelho, Viviana Cocco Mariani |
| 2025 | Optimized YOLO11 for Accurate Wind Turbine Blade Defect Detection. Chenxu Liu, Na Liu, Xufei Zhuang, Yi Liu, Bingheng Huo, Wenshuo Shang, Guiping Liu |
| 2025 | Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration. Athmanarayanan Lakshmi Narayanan, Amrutha Machireddy, Ranganath Krishnan |
| 2025 | Optimizing Alzheimer's Disease Diagnosis Using Ensemble Machine Learning Techniques: A Comparative Study. Mahmudul Haque Shakir, Sunipun Seemanta, Shanzida Zaman Shimu, Sherajus Salekin, Abu Naser MD. Arman, Md. Saef Ullah Miah, M. Mostafizur Rahman, Mufti Mahmud |
| 2025 | Optimizing Aspect Ratio and Angle Predictions for Rotated Object Detection via GWD Loss. Qianlin Gu |
| 2025 | Optimizing Multi-Scale and Multi-Modal Fusion for Medical Image Segmentation: A Novel MedSwin-UNet Architecture. Zhiyue Chen, Yunfeng Yang, Huahu Xu, Xueping Man, Shuwen Xue, Hailan Wang |
| 2025 | Optimizing Time-Step Sampling Probabilities in Diffusion Models for Enhanced Training Efficiency. Beibei Zhang, Wenjing Liu, Xiang Chang, Changjing Shang, Qiang Shen, Fei Chao |
| 2025 | Optimizing view generation in classification datasets. Victor Castro Nacif De Faria, Rafael M. O. Cruz, Robert Sabourin, Ana Carolina Lorena |
| 2025 | Orchestrating Spiking Dynamics with Dendritic Activation Functionality for Bolstering Expressivity and Learning Efficiency. Mingkun Xu, Runxi Tang, Yusong Wang, Shuai Zhong |
| 2025 | Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation. Mario Colosi, Reza Farahani, Maria Fazio, Radu Prodan, Massimo Villari |
| 2025 | Out-of-Distribution Data Monitoring Framework Based on KENN-Driven Graph Data Synthesis and Adaptive Encoder Network. Yan Zhong |
| 2025 | PADriver: Towards Personalized Autonomous Driving. Genghua Kou, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Ziheng Zhang, Osamu Yoshie, Tiancai Wang, Ying Li, Xiangyu Zhang |
| 2025 | PAROD: Real-time High-resolution Object Detection in Outdoor Scenes via Parallel Edge Offloading of Regions of Interest. Jiahao Xiang, Liukai Zheng, Liang Huang |
| 2025 | PBFE-DAN:Personal Biological Feature Enhanced Domain Adaptation Network for Cross-Session Brainprint Recognition. Xinyu Yang, Xuanyu Jin, Wanzeng Kong |
| 2025 | PD-Vitamin: Uncertainty-driven Preliminary Dosage of Reinforcement Learning Gradients for Online Fine-Tuning of Decision Transformers. Shujiong Tang, Zenglin Xu |
| 2025 | PD-YOLOv11s: An End-to-End Paper Surface Detection for Specific Visible Angle Defect. Shupan Li, Hanlin Zhu, Xiangrong Zhong, Mingyuan Jiu, Wei Guo, Yan Chen, Ming Liang Xu |
| 2025 | PEFT Innovations in Text-to-SQL: Adapter and Prefix Tuning Methods with Structural Awareness. Zhifeng Hao, Yuyuan Cai, Shaobin Shi, Boyan Xu, Ruichu Cai |
| 2025 | PFC-TTA: Parameter-Free Classifier for Test Time Adaptation in Emotion Recognition. Hengyi Shao, Liang Dong, Lei Li, Lin Zhang |
| 2025 | PFGM-IQA: CT Image Quality Assessment using Poisson Flow Generative Models. Haifeng Zhao, Minghui Xu, Tianxia Yang, Shaojie Zhang, Yanping Fu |
| 2025 | PFedDST: Personalized Federated Learning with Decentralized Selection Training. Mengchen Fan, Keren Li, Tianyun Zhang, Qing Tian, Baocheng Geng |
| 2025 | PG-CE: A Progressive Generation Dataset with Constraint Enhancement for Controllable Text Generation. Yan Zhuang, Yuan Sun |
| 2025 | PHTop: Sketch Recognition Technology Based on Graph Topology Neural Network. Zhentao Liu, Xue Ye, Fang Sun, Yi Lu |
| 2025 | PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions. Jinwei Liu, Wang Yao, Xiao Zhang |
| 2025 | PIPES: A Meta-dataset of Machine Learning Pipelines. Cynthia Moreira Maia, Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz |
| 2025 | PJ-net: A Pipeline Emphasizing Centerline Priors and Junctions for Lane Graph Construction. Huiyuan Xiong, Jun Shen, Taohong Zhu, Ke Song |
| 2025 | PL-SDA-Net: Unsupervised Road Detection Using Superpixels Enhanced RGB-Pseudo LiDAR Fusion. Baihan Yang, Lingkun Luo, Shiqiang Hu |
| 2025 | PMM: Post-Min-Max Augmentation for Semantic Segmentation of Underground Parking Lots. Ye Li, Dekun Lin, Zhe Cui, Xiaolin Qin |
| 2025 | PORTIA: A Multi-Granularity APT Detection Model Based on Provenance Graphs. Yiming Ren, Haoyang Chen, Haoqiang Wang, Yilong Chen, Zhou Zhou, Chengxiang Si, Qingyun Liu |
| 2025 | PREF: A Personalized Retrieval-Evolution Framework for Enhancing Large Language Models on General Text Tasks. Shaoqi Song, Lianwei Wu, Linyong Wang |
| 2025 | PSNet: A Multi-Period and Multi-Scale Model for Long-term Time Series Forecasting. Zehang Chen, Licun Dai, Fan Lin |
| 2025 | PTRS: Parallax-Tolerant Robust Omnidirectional Deep Image Stitching. Zihao Zhao, Yun Tie, Dalong Zhang, Lei Shi, Chenliang Ma |
| 2025 | PTsFusion: Multimodal Medical Image Fusion Based on Parallel Transformers with Global-Local Feature Interaction. Qiang Han, Xiwen Wang, Lifang Wang, Wei Guo, Kaixin Jin, Xiaoqing Yu |
| 2025 | PUDet: Advancing 3D Object Detection with Generative Upsampling Networks. Limei Xu, Zhiguo Zhou, Xuehua Zhou |
| 2025 | PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion. Yiran Rex Ma |
| 2025 | Para-X: Graph-based Facial Paralysis Detection using Structural Deformations of Facial Expression. Nandani Sharma, Kajal Singh, Dinesh Singh |
| 2025 | Parallel Optimization of Quantized CNNs for Efficient GPU Inference. Marco Lettiero, Pasquale De Luca |
| 2025 | Parameter Transfer for Single-Task Reinforcement Learning. Matthew Landers, Afsaneh Doryab |
| 2025 | Partial Graph Matching Based on Node Filtering and Sampling. Tianshui Gu, Xuyao Li, Junjie Li, Kezhong Lu |
| 2025 | Particle Propagation for Semantic Path Planning in Continuous Space. Giovanni Di Gennaro, Giovanni Fioretti, Francesco Verolla, Amedeo Buonanno, Francesco A. N. Palmieri, Krishna R. Pattipati |
| 2025 | Patch-Based Graph Neural Network for Autism Classification via Eye Gaze Analysis. Alessio Verdone, Federica Colonnese, Antonello Rosato, Massimo Panella |
| 2025 | Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning. Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng |
| 2025 | Pattern Learning for Trajectory Anomaly Detection: Recent Developments and Emerging Challenges. Chaoneng Li, Xiaolong Wang, Xiaohu Wang, Siyuan Chen, Ji Ye, Shuxu Zhao |
| 2025 | Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning. Tien Pham, Angelo Cangelosi |
| 2025 | PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data. Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Da Guo |
| 2025 | Penetration Testing of Cyber-Physical Attacks in Smart Grids Based on Partially Observable Markov Decision Process. Yuanliang Li, Jun Yan, Mohamed Naili |
| 2025 | PerTime: A Multi-scale Periodic Mixing Model for Long-term Time Series Forecasting. Zilong Yan, Chenyang He, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang |
| 2025 | Persistent Representation of Event Camera Output Using Spiking Neural Networks. Bernard Maacaron, Simon F. Müller-Cleve, Arren Glover, Chiara Bartolozzi |
| 2025 | Personalized Federated Learning Based on Feature Filtering. Zhangshuai Bie, Linlin Zhang, Congjie Lin, Shuo Li, Wenshou Wu, Kai Zhao |
| 2025 | Personalized Federated Learning Based on Fine-grained Subgraphs. Jiawei Liu |
| 2025 | Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer. Keting Yin, Jiayi Mao |
| 2025 | Personalized federated learning for sedentary behavior classification with heterogeneous feature distributions under adversarial threats. Pedro H. Barros, Túlio Polido, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos |
| 2025 | Personalizing Dialog Policy in Health Guidance via Model-based Multitask Reinforcement Learning. Taiga Sano, Masahiro Kohjima, Masami Takahashi, Kaori Fujimura, Tae Sato, Yurika Katagiri |
| 2025 | Photovoltaic Module Single-Diode-Model Identification by a Physics-Informed Neural Network. Nikta Shams Mohammadi, Giovanni Spagnuolo |
| 2025 | Physical Perception Network: An Enhanced Dehazing U-Net Framework for Color and Texture Recovery. Guoyu Fang, Zanxia Jin, Pingle Qin, Jianchao Zeng |
| 2025 | Physics-Informed Neural Networks for Modeling Traveling Waves in Nonlinear Lattices. Faris Chaudhry, Akira Wan, Maxim Vassiliev, Theodore Gottfried Van Cromphaut |
| 2025 | Pixel-wise Rain Error Distillation Framework for Robust Sparse Matching in Rainy Scene. Wenwei Lin, Pinhuan Wei, Gang Chen |
| 2025 | PointDico: Contrastive 3D Representation Learning Guided by Diffusion Models. Pengbo Li, Yiding Sun, Haozhe Cheng |
| 2025 | PointLCA-Net: Using Point Clouds for Energy Efficient Sparse Spatio-Temporal Signal Recognition in Neuromorphic Systems. Sanaz Mahmoodi Takaghaj |
| 2025 | Polyfit generative model: can a group of lower-order polynomials generate high resolution diverse images? Arghya Pal, Ai-Fang Chai, Sailaja Rajanala, Raphael C.-W. Phan, KokSheik Wong, Chee-Ming Ting |
| 2025 | Polyp-GSAM: A Graph Attention-Guided Hybrid SAM Architecture Model for Precise Polyp Segmentation. Ke Xie, Bingjian Wang, Shanmei Liu, Hui Peng |
| 2025 | Pooling functions for extracting shift-invariant features in artificial feedforward neural networks. Hubert Cecotti, Leon Kantikov |
| 2025 | PoseTalker:Talking Head Synthesis via Pose-Driven 3D Gaussian Splatting. Zhen Xiong, Haozhi Huang, Zhensheng Yuan, Guanghua Yang, Jundong Tan |
| 2025 | Position Paper on the Role of Sequential Switches in Human Cognition and Supporting Sustainable AI. Robert Kozma, Jeffery Jonathan Joshua Davis |
| 2025 | Position Paper: A new Perspective on Online Continual Learning. Nicolò Navarin, Alessandro Betti, Marco Gori |
| 2025 | Position Paper: Beyond Calibration - Leveraging Controlled Self-Deception for Robust Neural Network Learning. Taniya Seth, Pranab K. Muhuri |
| 2025 | Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents. Ali A. Minai |
| 2025 | Position Paper: Collectionless Artificial Intelligence. Marco Gori, Stefano Melacci |
| 2025 | Position Paper: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms in Critical Infrastructures. Hepeng Li, Yuhong Liu, Jun Yan, Jie Gao, Xiao'ou Yang, Mohamed Naili |
| 2025 | Position Paper: From Data Thirst to Aesthetic Hunger: The Pivotal Role of Artistic Exploration in Machine/AI Creativity. Chun-Yien Chang, Ying-Ping Chen |
| 2025 | Position Paper: Integrating Explainability and Uncertainty Estimation in Medical AI. Xiuyi Fan |
| 2025 | Position Paper: Large Language Models need Episodic Memory. Guangfu Hao, Yuhan Zhang, Guoqing Ma, Yang Chen, Frederic Alexandre, Shan Yu |
| 2025 | Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications. Jan Ignatowicz, Krzysztof Kutt, Grzegorz J. Nalepa |
| 2025 | Position Paper: Quantum Neural Networks - A Paradigm Shift in AI or a Theoretical Promise? Muhammad Kashif, Muhammad Shafique |
| 2025 | Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong |
| 2025 | Position Paper: The Environmental Cost of Deep Learning: A Call for Sustainable AI Practices. Rahma Fourati |
| 2025 | Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks. Christos Plachouras, Julien Guinot, György Fazekas, Elio Quinton, Emmanouil Benetos, Johan Pauwels |
| 2025 | Position paper: Foundation models are not the brain. Thomas Trappenberg |
| 2025 | Post-earthquake Damage Assessment of Buildings Exploiting Data Fusion. Simone Saquella, Michele Scarpiniti, Wangyi Pu, Livio Pedone, Giulia Angelucci, Michele Matteoni, Mattia Francioli, Stefano Pampanin |
| 2025 | Power Load Forecasting Method Based on Improved Attention Mechanism. Xiangsen Liu, Erlei Zhang, Yu Zhang, Wenxuan Yuan |
| 2025 | Pre-trained Latent Diffusion Model-based Image Enhancement with Cross-Fusion Transformer Network for Expression Recognition. Fan Liu, Yutao Dou, Changfeng He, Xianliang Chen, Jiansong Zhou, Shaoliang Peng |
| 2025 | Pre-training and Fine-turning Multi-task Learning Model: An Effective Method for Mongolian Morphological Tagging. Na Liu, Jiajia Ma, Zhonghao Zhang, Aodengbala, Min Lu, Guiping Liu |
| 2025 | PreSem-Surf: RGB-D Surface Reconstruction with Progressive Semantic Modeling and SG-MLP Pre-Rendering Mechanism. Yuyan Ye, Hang Xu, Yanghang Huang, Jiali Huang, Qian Weng |
| 2025 | Predefined-Time Synchronization Control of Fractional-Order Multi-modal Memristive Neural Networks. Mengwei Niu, Pengxiang Fu, Hui Zhao, Sijie Niu, Xizhan Gao, Mingwen Zheng, Lixiang Li |
| 2025 | Predicting behaviors with minimal units elucidates neural coding. Risako Morikawa, Takuya Hiroshima, Hokto Kazama, Keiji Miura |
| 2025 | Prediction of Coronary Artery Dissection Hemodynamics based on Physics-informed PointNet and Difference Graph Convolution. Yan Pei, Kaiyue Zhang, Pan Song, Min Dai, Gang He, Jun Wen |
| 2025 | Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning. Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco |
| 2025 | Preserve Individuality: A Video Anomaly Detection Method Based on Pseudo Anomalies and Difference Learning. Jiangyun Chen |
| 2025 | Prior Enhancement Strategy Based on MAP for Few-shot Image Classification. Zheng Huang, Jiaying Wu, Jingyu Chen, Zhaoman Zhong, Can Gao |
| 2025 | Prior-Guided Feature Fusion Network for Driving Obstacle Detection in Foggy Weather. Desheng Zhang, Xiangqian Geng, Miaomiao He |
| 2025 | PrivRec: Privacy-Preserving Cross-Domain Recommendation with Enhanced Learning Strategies. Feng Yu, Yuan Liu, Yicheng Di, Xue Wang, Yue Fang |
| 2025 | Privacy Enhancing Federated Learning for Predicting Energy Consumption in Smart Buildings. Sima Sinaei, Mohammadreza Mohammadi, David Eklund, Henrik Abrahamsson |
| 2025 | Privacy-Preserving PCA Based Face Recognition Scheme with Sparse Matrix Encryption. Tong Ji, Fanyu Kong, Yunting Tao, Guoyan Zhang, Yuliang Shi, Qiuliang Xu |
| 2025 | ProARD: Progressive Adversarial Robustness Distillation: Provide Wide Range of Robust Students. Seyedhamidreza Mousavi, Seyed Ali Mousavi, Masoud Daneshtalab |
| 2025 | Probabilistic Deep Learning Model for Time Series Analysis. Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta |
| 2025 | Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Non-equilibrium Loss Landscapes via the Fokker-Planck Equation. Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo |
| 2025 | Progressive Dynamic Adaptive Learning: An Effective Semi-Supervised Method for Histopathological Image Segmentation. Pu Zhang, Jun Liu |
| 2025 | Progressive Multifaceted Dynamic Hypergraph Convolutional Network Model for Traffic Flow Prediction. Bin Ren, Yongfa Zhang, Yamin Wen, Haocheng Luo, Tao Cheng, Chunhong He |
| 2025 | Promoting Racial Fairness in Deepfake Face Detection. Zhanhe Lei, Ruoxi Wang |
| 2025 | Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic. Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed, Mansour Al Ghanim, Liqiang Wang |
| 2025 | PromptHR: A Humor Recognition Network Integrating Deep Commonsense Prompt Learning and Semantic Incongruity. Xingwei Zeng, Jinta Weng, Hao Wu, Tianxin Huang, Jing Qiu, Heyan Huang |
| 2025 | PromptLTS: Text-Guided Controllable Speech Generation from Lip Movements. Wenlong Xu, Xuelin Cheng, Yanliang Tan, Shuo Zhang, Junlin An |
| 2025 | PromptMetric: Prompt Recipe as an Automatic Metric for Evaluating Open-domain Question Answering Systems. Pengzhe Wang, Xin Zeng, Chiwei Zhu, Benfeng Xu, Zhendong Mao, Yong-Dong Zhang |
| 2025 | Protein structure generation using a variational autoencoder with Lévy noise and quantum graph transformer. Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2025 | Pruning Everything, Everywhere, All at Once. Gustavo Henrique do Nascimento, Ian Pons, Anna Helena Reali Costa, Artur Jordão |
| 2025 | Pseudo Triplet Guided Few-shot Composed Image Retrieval. Bohan Hou, Haoqiang Lin, Haokun Wen, Meng Liu, Mingzhu Xu, Xuemeng Song |
| 2025 | Public Perception of Accountability for AI Systems: The Influence of Age and Education. Shi Yun Ng, Keeley Crockett, Annabel Latham, Mohammed Kaleem |
| 2025 | Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training. Wenhan Yao, Fen Xiao, Xiarun Chen, Jia Liu, Yongqiang He, Weiping Wen |
| 2025 | Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis. Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang |
| 2025 | Q-PGD: A Stealthy and Effective Speaker Recognition Adversarial Attacks Based on Quantized Projected Gradient Descent. Jiahui Wang, Yulong Fu, Jincheng Yang |
| 2025 | QFARE: Quantum Feedforward Adaptive Reinforcement Ensemble for MNIST Classification. Yichen Xie |
| 2025 | QSViT: A Methodology for Quantizing Spiking Vision Transformers. Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique |
| 2025 | Quality and Robustness of Generative Watermarking on Biomedical Data. Liyue Fan, Luca Bonomi |
| 2025 | Quality-Diversity Driven Action Swarm Evolution in Reinforcement Learning. Liyao Sun, Kang Xu, Yan Ma, Wei Li |
| 2025 | QuanSIRA: The Quantitative Investment Risk Modeling in Stock Markets with Pre-trained Language Models. Zheyang Luo, Jiangming Liu |
| 2025 | QuantBEVFusion: A Fully Quantized Framework for LiDAR-camera 3D Object Detection. Xubin Wen, Ming Shao, Libo Sun, Wenhu Qin, Siyu Xia |
| 2025 | Quantifying Information in Similarity Matrices for Improved Representation Learning. Zelong Zhang, Zhuhui Han, Jieting Wang, Feijiang Li |
| 2025 | Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness. Yingfang Yuan, Kefan Chen, Mehdi Rizvi, Lynne Baillie, Wei Pang |
| 2025 | Quantile Interval Prediction of Power Load Based on DCS-Optimized TCN-BiLSTM-Attention Model. Yiyao Yu, Yifan Wang |
| 2025 | Quantization in Energy-Efficient Federated Learning Farwa Ikram, Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino |
| 2025 | Quantum Approaches for Degree-Constrained Minimum Spanning Tree Computation. Rafael Simões do Carmo, Marcos Cleison Silva Santana, Felipe Fernandes Fanchini, Kelton A. P. Costa, Weslley Santana Rosalem, João Paulo Papa |
| 2025 | Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision. Samuel Yen-Chi Chen, Kuan-Cheng Chen |
| 2025 | Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models. Antonio Tudisco, Deborah Volpe, Giovanna Turvani |
| 2025 | Quantum-StateHD: Leveraging Random Quantum States for Hyperdimensional Learning. Yangjie Xu, Hui Huang, Radu State |
| 2025 | Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution. Luigi Sigillo, Christian Bianchi, Aurelio Uncini, Danilo Comminiello |
| 2025 | Query Rephrasing for Context Independence in Scene Knowledge-guided Visual Grounding. Xilong Qin, Jing Ye, Haixiang Zhu, Wansen Wu, Yue Hu |
| 2025 | QueryNILM: Query based Non-Intrusive Load Monitoring with Appliance Embeddings. Shijie Yang, Jie Jiang, Yichen Zhang, Qiuqiang Kong, Qianwen Cao |
| 2025 | Quick Sense Temporal Graph Transformer with Effective Representation Augmentation. Ziqi Huang, Tongya Zheng, Rui Wang, Longjiao Zhang, Wenjie Huang, Xinyu Wang |
| 2025 | R Zhao Tong, Yimeng Gu, Haichao Shi, Qiang Liu, Shu Wu, Xiao-Yu Zhang |
| 2025 | R Anuradha Kumari, Mushir Akhtar, Ponnuthurai N. Suganthan, Muhammad Tanveer |
| 2025 | R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest. Xupeng Chen, Zhixin Lai, Kangrui Ruan, Shichu Chen, Jiaxiang Liu, Zuozhu Liu |
| 2025 | RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution. Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li |
| 2025 | RAECAE: A Multi-Scale Attention Residual Convolutional Autoencoder-Based Method for Denoising Vibration Signals of Wind Turbine Rolling Bearings. Xinxin Zhou, Jinye Zhang, Hongrui Zhang, Hui Yi |
| 2025 | RAR: A Refined-Attitude Reasoning Framework on LLMs for Zero Shot Stance Detection. Yiming Lee, Yangfu Zhu, Xinming Chen, Bin Wu |
| 2025 | RAVM-ULM: Exploring Resolution-Aware Detection and Vision-Mamba Imaging for Ultrasound Localization Microscopy. Kejun Li, Haitao Wan, Jinpeng Jiang, Miaomiao Zhang, Na Jiang |
| 2025 | REAL-PINN: Physics-Informed Neural Network with Real-Time Adaptive Learning for Lithium-Ion Battery Health Prediction. Md Sazzad Hossen, Avimanyu Sahoo |
| 2025 | REIA: Entity Relation Extraction Based on Interaction Policy and Data Augmentation. Liruizhi Jia, Shengquan Liu, Bo Kong, Yuan Liu |
| 2025 | RFID Sign Language Recognition Based on Multi-level Deep Feature Fusion. Jinzhe Liang, Jiaxu Li, Bai Shan |
| 2025 | RFPO: Enhancing Mathematical Reasoning of Large Language Models with Fine-Grained Preference Optimization. Fei Gao |
| 2025 | RGB-Event Fusion with Self-Attention for Collision Prediction. Pietro Bonazzi, Christian Vogt, Michael Jost, Haotong Qin, Lyes Khacef, Federico Paredes-Vallés, Michele Magno |
| 2025 | RKDCSE : Relational Knowledge Distillation For Sentence Representation Learning. Wenjun Du, Rongsheng Li, Yanxia Wu, Xianghui Wang |
| 2025 | RL-Pruner: Retraining-Free Global Exploration Pruning Method Based on Reinforcement Learning. Guangzhen Yao, Yi Wang, Wenxin Zhang, Xaioyu Deng, Chengze Du, Renda Han, Zhanghao Qin, Yu Li, Bobin Xie, Bowen Dong, Haiming Peng, Sandong Zhu, Long Zhang, Zezhou Wang, Zeyu Zhang |
| 2025 | ROVER: Autonomous Open-Vocabulary Object Searching in Unexplored Environments Using VLM-Driven Scene Understanding. Abdul Basit, Niraj Pudasaini, Muhammad Shafique |
| 2025 | RPC-DETR: A Lightweight and Accurate Model for Foreign Object Detection on Transmission Lines. Daming Liu, Jiahao Huang |
| 2025 | RSAM-UNETR: Transformers for Road Segmentation for self driving cars using Residual Spatial Attention Module. Alicja Polowczyk, Agnieszka Polowczyk, Marcin Wozniak |
| 2025 | RSDiX: Lightweight and Data-Efficient VLMs for Remote Sensing through Self-Distillation. Andrea Terlizzi, Angelo Nazzaro, Lorenzo Bernardi, Francesco Bardozzo, Roberto Tagliaferri |
| 2025 | RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. Jingcheng Li, Ye Qiao, Haocheng Xu, Sitao Huang |
| 2025 | RSMF-Net: A remote sensing target detection method combining efficient feature modeling and multi-scale fusion. Junkai Ding, Jiayan Gu |
| 2025 | RSNet: Reflectance-Guided and Semantic-Aware Network for Low-light Image Enhancement. Lijun Dai, Yunquan Sun, Lizhe Qi |
| 2025 | RSTA: A Recurrent Scene Topic-Aware Model for Multi-Scene Endoscopic Report Generation. Xinpan Yuan, Junhua Kuang, Liujie Hua, Guihu Zhao, Changhong Zhang, Jiabao Li |
| 2025 | RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets. M. Sajid, Mushir Akhtar, Abdul Quadir, M. Tanveer |
| 2025 | RanAT4BIE: Random Adversarial Training for Biomedical Information Extraction. Jian Chen, Shengyi Lv, Leilei Su |
| 2025 | Rano: Restorable Speaker Anonymization via Conditional Invertible Neural Network. Jianzong Wang, Xulong Zhang, Xiaoyang Qu |
| 2025 | ReNIE: Semantic Retrieval and Negative Instances Augmented Information Extraction. Haoran Tu, Shuo Yang, Jianman Tan |
| 2025 | Real-Time Assessment of Trust using EEG and Artificial Neural Network. Julakha Jahan Jui, Imali T. Hettiarachchi, Asim Bhatti, Mohamed Ragab Mahmoud Farghaly |
| 2025 | Real-Time Misinformation Detection with Cyclic Evidence-Based Framework. Zhiwen Hu, Lv Han, Haihua Jiang, Xi-Ao Ma, Saihua Lei, Yang Qiu, Haojia Niu, Zehui Zhou, Xun Wang |
| 2025 | RecLGB: Enhancing LightGBM using Recursive VAE with Mixed Attention for Time-Series Forecasting. Yuxin Mei, Xu Han, Zhongming Han, Li Han, Jing Liu |
| 2025 | Receptive Field Aware Contrastive Learning for Multivariate Time Series Classification. Fangru Lin, Yuan Gao, Yuxin Chen, Jingyi Huo, Hui Yan |
| 2025 | RecolorGaussian: Palette-based 3D Scene Recoloring with Gaussian Splatting. Haoyu Bi, Jianhui Wu, Zhangjin Huang |
| 2025 | Reconstructing Human Vision from fMRI with Multiscale Encoding and Perceptual Specificity. Wanqiu Huang, Ke Ma, Tingyu Xie, Hongwei Wang |
| 2025 | Reducing Redundancy in Small Lesion Features for Multi-Shape Stenosis Detection in Coronary X-ray Angiography. Sigeng Chen, Jingfan Fan, Jiaxin Chen, Danni Ai, Yining Wang, Jian Yang |
| 2025 | Refining and adaption: multi-modal learning in wear debris analysis. Yongcai Chen, Fang Lei, Xiantong Zhen, Xin Li, Lei Zhang |
| 2025 | Refusal Behavior in Large Language Models: A Nonlinear Perspective. Fabian Hildebrandt, Andreas K. Maier, Patrick Krauss, Achim Schilling |
| 2025 | Region Contrast Distillation for Medical Image Segmentation. Jiahao Pu, Wanli Dong, Jiachuan Fan, Ning Jiang |
| 2025 | Regulated Message Passing for Graphs with Mixed Local Attribute Patterns. Yujie Li, Ning Gui |
| 2025 | Reinforced Retrieval-Augmented Generation in Large Language Models. Jen-Tzung Chien, Zhi-Xuan Tai |
| 2025 | Reinforcement Learning Distillation: Adaptive Weight Optimization for Knowledge Transfer. Fengshuo Zhang |
| 2025 | Reinforcement Learning for Option Hedging Using Quantile Regression and Curriculum Learning with Historical Data Fusion. Qiao Pan, Long Zhu, Zhaoju Wang |
| 2025 | Reinforcement Learning-based and Energy Efficiency-aware Power Management for RISC-V Platforms. Kaizhong Tan, Qingbo Wu, Wenzhu Wang, Jie Yu |
| 2025 | Reliable Low-Resource Entity Resolution Enhanced by Rules. Rong Zhang, Dong Wang, Jintao Huang, Cheng Zhu |
| 2025 | Remembering Transformer for Continual Learning. Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota Kanai |
| 2025 | Remote Dependency Information Enhanced for Session Recommendation. Wenyuan Xu, Wenjie Luo, Xiudan Yang |
| 2025 | Remote Sensing Change Detection via Graph Compression and Adaptive Feature Fusion. Jingxing Zhong, Haoliang Li, Renda Han, Wenxin Zhang, Yutian You, Junhao Xiao |
| 2025 | Renormalized Graph Representations for Node Classification. Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri |
| 2025 | Repository-Level Code Smell Detection Based on Multi-Scale Code Information and LLM Assistance. Wenjie Liang, Yongqin Zeng, Hai-Tao Zheng, Jiale Wang, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | Representative-exploring Replay for Online Class-Incremental Continual Learning. Libang Zhao, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Yuanlu Chen, Feng Wu, Mengyuan Song |
| 2025 | Research Paper Recommender System by Considering Users' Information Seeking Behaviors. Zhelin Xu, Shuhei Yamamoto, Hideo Joho |
| 2025 | Research on Community Search Based on Representation Learning and Latent Relationships. Shasha Peng, Na Li, Zhijie Ban |
| 2025 | Research on Dynamic Curriculum Learning in Mongolian-Chinese Neural Machine Translation. Chunyue Hu, Qintu Si, Siriguleng Wang |
| 2025 | Research on High-Quality Prompt Engineering for Large Language Models in Software Defect Prediction. Jin Zhang, Shunyu Xu, Yang Zhang |
| 2025 | Research on Judgment Questions Based on Label Guided Prompt Generation and Adapter Mapping. Xiang Peng, Yong Zhang |
| 2025 | Research on Mobile Target Tracking and Positioning in Wide-Area Complex Electromagnetic Environments. Zhuolong Li, Jin Hou |
| 2025 | Research on Student Classroom Behavior Recognition Method Based on RTDETR. Jingjing Zhang |
| 2025 | Research on driving fatigue detection method based on fNIRS data and Facial Features. Lingqiu Zeng, Li Zhong, Qingwen Han, Lei Ye, Kun Zhou, Shiyu Sun |
| 2025 | Research on the method of expanding the metallogenic data based on generative adversarial networks. Biyi Li, Chunfang Kong, Kai Xu, Jie Zhao |
| 2025 | Reservoir Computing in Real-World Environments: Optimizing the Cost of Offline and Online Training. Matteo Mendula, Marco Miozzo, Paolo Dini |
| 2025 | Reshaping Cross-Entropy Non-Convex Properties through Normalized Risk-Averse Loss. Weihao Xia, Huachuan Wang, Yuhang Sun, Enshuo Yan, James Lo |
| 2025 | Residual Reservoir Memory Networks. Matteo Pinna, Andrea Ceni, Claudio Gallicchio |
| 2025 | Residual-Based Attention in Kolmogorov-Arnold Networks for Solving Partial Differential Equations. Wei An, Hongjian Wang |
| 2025 | Resource Allocation for V2V Communications Using Multi-Agent Reinforcement Learning. Lili Jiang, Lifeng Sun, Wenwu Zhu |
| 2025 | Resources-Efficient Accelerated K-Asynchronous Adaptive Federated Learning. Xiang Ao, Maolan Zhang, Zhenyan Wang, Jiamiao Liu, Yu Zhang, Xuetao Chen, Dewen Qiao |
| 2025 | Retaining Disadvantaged Students Using a BERT-based Recommender System. Muhammad Ashfakur Arju, John W. Sheppard, Md Asaduzzaman Noor, Carina Beck, Durward Sobek |
| 2025 | Rethinking Generalized Long-Tailed Classification: A Constrained Optimization Formulation and Exact Penalty Method. Jiarui Sun, Canmiao Fu, Yong Zhao, Xinan Wang |
| 2025 | Rethinking Multi-scale Feature Enhancement and Learning Mechanism for Real-time Object Detection. Chenxu Li, Tao Zhang |
| 2025 | Retinex2Diff: Two-Branch Diffusion Model for Low-Light Image Enhancement. Minghai Yang, Yuxu Peng |
| 2025 | Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank. Haoquan Chen, Bin Yan, Hongyu Shen, Mingtao Pei |
| 2025 | Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Large Language Models. Bingshuai Liu, Chenyang Lyu, Zijun Min, Zhanyu Wang, Jinsong Su, Longyue Wang |
| 2025 | Revisiting Graph Projections for Effective Complementary Product Recommendation. Leandro Anghinoni, Pablo Zivic, Jorge Sánchez |
| 2025 | Revisiting the Knowledge Recall and Selection in Chinese Spelling Correction. Zhengxu Hou, Bingren Yan, Zhibo Yang, Qiang Zhou, Luxi Xing, Chen Zhang, Xingsheng Zhang |
| 2025 | Robust Anomaly Detection with Spatio-temporal Representation Learning for Multivariate Time Series. Sunqun Huang, Xu Wu, Jining Chen, Ningjiang Chen, Hongda Qin, Tao Deng, Fengrong Wu |
| 2025 | Robust Deepfake Speech Algorithm Recognition: Classifying Generative Algorithms via Speaker X-Vectors and Deep Learning. Harry Maltby, Julie A. Wall, Cornelius Glackin, Mansour Moniri, Roman Shrestha, Nigel Cannings, Iwa Salami |
| 2025 | Robust Facial Expression Recognition via Symmetry Exploitation and Adaptive Neighborhood Label Correction. Kang Shen, Xiao Sun, Xuxiong Liu |
| 2025 | Robust Few-Shot Semantic Segmentation for Blurred and Occluded Objects in Construction Environments. Maghsood Salimi, Mohammad Loni, Antonio Cicchetti, Marjan Sirjani |
| 2025 | Robust Graph Classification with Instance Independent Noisy Labels: An EM Approach using Kolmogorov-Arnold Networks. Arif Khan Pathan, Raghavendra Kulkarni, Subbareddy Batreddy, Giridhar Pamisetty, Priya Verma, Ch. Sobhan Babu |
| 2025 | Robust Individual Sensor Placement by Means of Domain-informed Adversarial Training. Markus Vieth, Barbara Hammer |
| 2025 | Robust Meta Reinforcement Learning via Environment Context Enhancement. Wenning Hu, Hongbin Wang, Xirui Chen, Nianbin Wang |
| 2025 | Robust Natural Language Watermarking by Embedding Information into Key Components. Lingyun Xiang, Song Jiang |
| 2025 | Robust Representation from EEG via Pre-trained SeqMAE for Brain Activity Decoding. Yisu Wang, Yangyang Li, Honggang Wang, XuZhi Li, Guangbin Sun |
| 2025 | Robust Signed Distance Fields for Articulated Human Body Reconstruction via Multiresolution Hash Encoding. Minzhe Tang, Dongliang Kou, Mingcheng Li, Lihua Zhang |
| 2025 | Robust Uncertainty Quantification for Factual Generation of Large Language Models. Yuhao Zhang, Zhongliang Yang, Linna Zhou |
| 2025 | Robust Universum Twin Support Vector Machine for Imbalanced Data. M. Tanveer, Abdul Quadir |
| 2025 | Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention. Osama Ahmad, Zubair Khalid |
| 2025 | Robust-CLIP: End-to-End Fine-Tuning of Vision-Language Models under Noisy Labels. Guanyu Chen, Ruihao Li, Defu Liu, Wei Yi |
| 2025 | Robustness and Privacy Interplay in Patient Membership Inference. Anahita Baninajjar, Amin Aminifar, Kamran Hosseini, Amir Aminifar, Ahmed Rezine |
| 2025 | Role of Chaotic Neural Networks in EVSF-Network. Yoshitsugu Kakemoto, Shinichi Nakasuka |
| 2025 | Role-Playing in Vision-Language Models: A Comprehensive Evaluation of Image Description Performance. Zhaofeng Niu, Xiaoya Chang, Bowen Wang, Xingfu Cheng, Guangshun Li, Liangzhi Li |
| 2025 | RoseNet: A Cross-Modal Incongruity Adaptive Graph Learning Network in Multimodal Sentiment Recognition. Guangyu Wang, Yujie Chen, Ming Gao, Zhiqiao Wu, Jiafu Tang |
| 2025 | Rosetta: Enhancing Neural Machine Translation through Multilingual-PLMs and Semantic Constraints. Pengfei Pi, Rize Jin, Xiaohan Ma, Tae-Sun Chung |
| 2025 | S Weijia Yang, Tian Lan, Wei Chen, Leyuan Liu, Xiaosong Zhang |
| 2025 | S-DiffAdv: Enhancing Unrestricted Adversarial Attack via Sparse Diffusion. Shijie Zhao, Anjie Peng, Shujian Liao, Wanli Dong, Yong Peng |
| 2025 | S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning. Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Chao Feng, Gérôme Bovet, Gregorio Martínez Pérez, Alberto Huertas Celdrán |
| 2025 | S2N: A Synthetic Data-Driven Approach for Speaker-To-Dialogue Attribution in Novels. Yiqian Huang, Ying Zhang, Kotaro Funakoshi, Manabu Okumura, Yang Cao |
| 2025 | SAFD Enhanced Multi-Level Collaborative Network for EEG Biometric Authentication. Chunyu Tan, Jun Wu, Liming Zhang, Yun Zhou, Qiaoyun Wu |
| 2025 | SAFE Ensemble models to classify credit ratings. Lunshuai Wu, Paolo Giudici |
| 2025 | SAFE Natural Language Processing. Golnoosh Babaei, Oliver Giudice, Paolo Giudici, Alessandro Maggi |
| 2025 | SAM-AEKD: SAM-Based Knowledge Distillation with Adaptive Fusion and Edge Features for Enhancing Medical Image Segmentation. Shirong Zhou, Xing Wu, Chengliang Wang, Lingqiu Zeng, Zhongshi He, Yao Liu |
| 2025 | SAM-RAG: An Self-adaptive Framework for Multimodal Retrieval-Augmented Generation. Wenjia Zhai |
| 2025 | SAM-TransUnet: A framework for medical image segmentation combining TransUnet and automatic cueing information: methodology, optimization, and applications. Si-Yu Qi, Xiang Pan |
| 2025 | SAMPLE: Spatiotemporal-Aware Microservice Pre-deployment with LLMs for Edge Computing. Zhixuan Wang, Shendong Gao, Yuqi Zhao, Xiulong Yang, Yatong Wang |
| 2025 | SAT: A Sparse Attention Transformer-based Approach for Predicting Market Risk Factors Using Stock Time Series Data. Yingzi Wang, Cong Liu, Kaiyuan Liu, Danny D. Sun |
| 2025 | SBR-GS:Enhancing Scene Editability based on Static Background Reconstruction using Gaussian Splatting. Jingyi Wu, Chengliang Wang, Ji Liu, Tian Jiang, Yonggang Luo |
| 2025 | SCANet: Multi-Channel Representation with Synthesis Convolution and Composite Attention for Malicious Network Traffic Detection. Qingsheng Yang, Lizhi Peng, Kun Zhao, Jianjun Dong |
| 2025 | SCGS: Interactive Scale-Controlled 3D Object Segmentation with Gaussian Splatting. Yue Jin, Yilong Liu, Yuanyang Zhang, Tianchen Zhou, Lina Yao |
| 2025 | SCM-DTI: a substructure-oriented method based on a codebook mechanism to improve drug-target interaction prediction. Ping Huang, Jing Peng, Yangyi Lu, Yifeng Zhu |
| 2025 | SCProtoNet: Spatial and Channel Reconstruction Prototype Network for Real Time instance Segmentation. Zhou Fang, Hai Huang, Hong Chen, Shan Yue, Zhenqi Tang |
| 2025 | SCSNet: Semantic segmentation of carbon source and sink in remote sensing images based on multi-scale transformer and local feature fusion. Yang Liu, Wenqian Cao, Haige Xu, Yi Xie, Changwei Miao |
| 2025 | SDEFormer: Neural Stochastic Differential Equations for Continuous-Time Transformers in Irregular Time Series Modeling. Chong Wang, Huafeng Liu, Liping Jing |
| 2025 | SDFDA: Modeling Spectral Distribution for Time-Series Forecasting Domain Adaptation. Daoxin Chen, Ruichu Cai, Haozhi Chen, Zhenhui Yang |
| 2025 | SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan |
| 2025 | SECMG: Style Enhancement Commit Message Generation. Zhifang Liao, Wenlong Liu, Peng Lan |
| 2025 | SEDX: Seasonal Encoder-Decoder for Forecasting. Avinash Achar, Soumen Pachal, Subhadeep Banik |
| 2025 | SEMFD: Summary-enhanced Multimodal Fake News Detection. Xiaoyu Wang, Wenqian Shang, Jianxiang Cao, Xiangxi Bo, Chunhua Wang, Kang Song |
| 2025 | SEMU-Net: A Boundary Semantic-Aware Network for Medical Image Segmentation. Zongying Jiang, Li Dai, Yuxiong Jin, Jianhua Li |
| 2025 | SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems. Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh |
| 2025 | SEP: Self-Rewarded Entity-Level Preference for Open Named Entity Recognition. Qi Li, Jiayi Xie, Jiabei He, Jian Zhang, Tingyu Xie, Ke Ma, Hongwei Wang |
| 2025 | SESA-KAN: Simultaneous estimation of sex and age from dental panoramic radiographs. Julian Liang, Igor Borja, David Lima, Márcio Júnior, Patrícia Cury, Luciano Oliveira |
| 2025 | SEmgFormer: Muscle Synergy Channel Attention Enhanced Vision Transformer Network For sEMG Motion Recognition Using STFT Spectrogram. Zhuangzhuang Li, Yuxuan Tian, Chenyi Guo, Ji Wu |
| 2025 | SF-MVSNet: Siamese-like Fusion For Multi-View Stereo. Xiangji Kong, Yinghao Li, Zhao Tian, Shipeng Liu, Wei She |
| 2025 | SFCola-Net: Spatial-Frequency Collaborative Attention Network for Image Restoration. Hemkant Nehete, Amit Monga, Tharun Kumar Reddy Bollu, Raman Balasubramanian |
| 2025 | SFD-Net:Synergizing Feature Fusion with HQ-Depth Maps for RGB-D Salient Object Detection. Zifeng Yan, Binbin Yan, Shuo Chen |
| 2025 | SFPA-Net: Second-order Feature Enhancement Prototype Aggregation Network for MRI Brain Tumor Segmentation. Yujia Chen, Zhenwei Wang, Yao Wang, Dongwei Liu, Jianxin Zhang, Qiang Zhang |
| 2025 | SGTrans: Signed Graph Transformer for Link Sign Prediction. Xuequan Lin, Hao Cheng, Junwei Cheng, Chaobo He, Qimai Chen |
| 2025 | SH-RAG: A Syntax-Based Hierarchical Retrieval-Augmented Generation Framework for Handling Syntactic Complexity in Literary Machine Translation. Haojie Lu, Zhenjie Zhao |
| 2025 | SISAM: An Enhanced Promptable Segmentation Model with Expanded Dataset for Surgical Instruments. Yuchu Liu, Jing Xiao |
| 2025 | SKAAL: Intelligent Voice Assistants Security Skill Scheme Based on Voiceprint Authentication and Authorization. Yan Zhang, Zixin Wang, Pengxin Guan, Peiran Xu, Ruoding Zhang |
| 2025 | SMRU-Lite: Efficient Low-Complexity Speech Enhancement Model with Uncertainty Estimation. Zhiyu Zhang, Tong Lei, Zhihang Sun, Feiran Yang, Rilin Chen, Chunguo Li |
| 2025 | SNT: Explore transformers for more efficient pollen classification. Xuefeng Ma, Shi Bao, Qing-dao-er-ji Ren, Min Lu |
| 2025 | SO-DETR: Leveraging Dual-Domain Features and Knowledge Distillation for Small Object Detection. Huaxiang Zhang, Hao Zhang, Aoran Mei, Zhongxue Gan, Guo-Niu Zhu |
| 2025 | SOD-DETR: Small Object Detection with Attention Enhancement and Multi-scale Feature Fusion for UAV Imagery. Xinjie Zheng, Bin Shao |
| 2025 | SPAN: A Salient Patch-Clue Aware Network for Cross-Domain Face Anti-Spoofing. Yan Liu, Liangfeng Zhang, Lei Chen, Kai Li, Jinhui Lin, Song-Lu Chen, Feng Chen, Xu-Cheng Yin |
| 2025 | SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. Dinithi Jayasuriya, Sina Tayebati, Davide Ettori, Ranganath Krishnan, Amit Ranjan Trivedi |
| 2025 | SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models. Wenhan Yao, Fen Xiao, Xiarun Chen, Jia Liu, Yongqiang He, Weiping Wen |
| 2025 | SPDou: Mastering the DouDiZhu Game with ISPPO Models. Shipeng Wang, Yajie Wang, Qilong Guo, Tianyu Zhao |
| 2025 | SRF - A Structured Method for Enhancing Large Model Reasoning. Qin Zhu |
| 2025 | SRVul: A High-Quality Self-Restrained Vulnerable Code Dataset for Vulnerability Detection. Hongjun Huang, Futai Zou, Jiaping Gui, Tianming Zheng, Yue Wu |
| 2025 | SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling. Marco Turzi, Siamak Mehrkanoon |
| 2025 | SSR-RAG: A smart Retrieval-Augmented Generation Framework with Rollback Mechanisms for Safer and More Accurate Answers. Haotian Wang, Zhenyu Qi, Ningzhi Wang, Zhenda Yu, Zerui Li, Wenjun Lv |
| 2025 | ST-LCNet: A Dual-Stream Transformer for Interpretable EEG-Based Anxiety Diagnosis. Ling Yan, Junhao Chen, Kaichen Shen, Ruiji Xu, Keji Mao |
| 2025 | ST-QAT: Leveraging Self-Training to Enhance Quantization-Aware Training. Hang Wang, Menglong Lu, Zhen Huang, Bin Liang, Zhilin Wang, Feng Liu |
| 2025 | STAR-UNet: Sinogram Transformation using Attention based Residual U-Net. Yuming Li, Sreetama Sarkar |
| 2025 | STFNet: A Spatio-Temporal Feature Fusion Network for Human Activity Recognition Based on mmWave Radar Point Clouds. Zishuo Wang, Yizhen Jia, Cong Yang, Xianchao Zhang |
| 2025 | STGNet: Adaptive Millimeter-Wave Gesture Recognition via Spatial-Temporal Gesture Network. Haizhou Wu, Xiaoye Wang, Yihang Dong, Zitao Du |
| 2025 | STGNet: Spatio-Temporal aware GCN-Based Model for Autism Prediction in Brain fMRI Data. Hongyan Li, Tao Jin, Li Xiao |
| 2025 | STMOM: A Spatiotemporal Traffic Flow Forecasting Model Based on Multi-Order Markov Chains. Shulan Guo, Jianbo Li, Haoran Li, Zesheng Cheng |
| 2025 | STNet: Spatial-Temporal Transformers are Effective for Multivariate Time Series Forecasting. Kexin Yang, Xing Wang, Zhendong Wang, Ce Chi, Chao Deng, Junlan Feng |
| 2025 | STPYOLO: A Lightweight and Efficient Model for Small Target Pest Detection. Jianyi Wang, Zhenhong Jia, Gang Zhou, Jiajia Wang, Ao Guo |
| 2025 | STTP: Urban Spatio-Temporal Forecasting with Timestamp Information Mining and Pattern Differentiation. Chutong Ding, Aoyu Liu, Yaying Zhang |
| 2025 | STVGN: Spatiotemporal Visibility Graph for Short-Term Traffic Speed Prediction. Yuzhu Zhang, Xinyue Ren, Ting Chen, Wai Kin Victor Chan |
| 2025 | SUNet: A Semantic-Driven Framework for Universal Image Enhancement. Zhijie Li, Yingjie Zhang, Chaoqun Wang, Yuan Sun, Dawei Yan, Tianyu Wang, Ghulam Mohiuddin, Marcin Wozniak, Wei Dong |
| 2025 | SWR-BIDeN: An Improved BIDeN Model for Severe Weather Removal in Image Processing. Yixin Zhang, Tianze Zhang, Xingbiao Zhou, Gang Shi |
| 2025 | SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields. Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv |
| 2025 | SaSa: Semantic-aware Sequence Augmentor for Recommendation. Yucheng Zhong, Jin Fan, Danfeng Sun, Jiajun Yang, Huifeng Wu |
| 2025 | Safe Screening Rules for Group OWL Models. Runxue Bao, Quanchao Lu, Yanfu Zhang |
| 2025 | Saliency Map Explainability for Breast Ultrasounds. João Vitor R. Santillo, Fernando Pereira dos Santos, Roseli A. F. Romero |
| 2025 | Saliency Time-Series Anomaly Detection Service for AIOps. Lisa Zhang, Haibo Huang, Xiaojun Sun, Ruiyu Wang, Lifeng Zhu, Haoshuo Wang, Wenpeng Zhu, Xinyong Jiang |
| 2025 | Sample-to-Sample Learning and inverted bottleneck for Speaker Verification. Yihao Chen, Jialong Wang, Yunqi Hao, Minqiang Xu, Jianbo Zhan, Liang He, Lei Fang, Sian Fang |
| 2025 | Sampling-Enhanced Multi-View Graph Contrastive Learning for Coordination Detection. Chenghan Zhang, Yan Liu, Ling Wang, Luyao Wang |
| 2025 | Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling. Hyun Lee, Chris Yi, B. D. S. Aritra, Mohammad Maminur Islam |
| 2025 | Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems. Inaam Ashraf, André Artelt, Barbara Hammer |
| 2025 | Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data. Yiqun Duan, Sameera Ramasinghe, Stephen Gould, Thalaiyasingam Ajanthan |
| 2025 | SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification. Sujit Kumar, Anshul Sharma, Siddharth Hemant Khincha, Gargi Shroff, Sanasam Ranbir Singh, Rahul Mishra |
| 2025 | SeaFBen: A Multilingual Benchmark for Large Language Models in Southeast Asian Finance. Gang Hu, Qingqing Wang, Wanlong Yu, Siqi Lv, AiJia Zhao, Wang Gao |
| 2025 | Seasonal-Trend Transformer-based Diffusion Model for Non-Intrusive Load Monitoring. Francesco Sudoso, Redemptor Laceda Taloma, Patrizio Pisani, Danilo Comminiello |
| 2025 | Securing ROS Network Traffic Data Against Node Isolation Attacks Using a Deep Learning CNN: An Empirical Study on an Unmanned Ground Vehicle. Fendy Santoso, Anthony Finn |
| 2025 | Security Threats to Explainable Classifiers in Federated Learning. Mattia Daole, Pietro Ducange, Francisco Herrera, Francesco Marcelloni, Alessandro Renda, Nuria Rodríguez Barroso |
| 2025 | Seeing Through Changes: Clothing Information Suppression and Momentum Enhancement for Cloth-Changing Person Re-Identification. Shijuan Huang, Hefei Ling |
| 2025 | Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations. Xuesong Zhang, Jia Li, Yunbo Xu, Zhenzhen Hu, Richang Hong |
| 2025 | Segmentation and Smoothing Affect Explanation Quality More Than the Choice of Perturbation-based XAI Method for Image Explanations. Gustav Grund Pihlgren, Kary Främling |
| 2025 | Selective Parameter Tuning in Large Language Models for Task Specific Adaptation. Weijie Wan, Jiangjiang Zhao |
| 2025 | Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection. Sijin Sun, Ming Deng, Xingrui Yu, Xingyu Xi, Liangbin Zhao |
| 2025 | Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes. Saqib Nazir, Olivier Lézoray, Sébastien Bougleux |
| 2025 | Self-Learning Method of Traversability Perception using ATC-DT for an Autonomous Mobile Robot. Yukinaga Kato, Yuichiro Toda, Takayuki Matsuno, Yoshimasa Nakamura, Toshiki Masuda |
| 2025 | Self-Refining Language Models to Assess Insurance Claims. Rayno Willem Mostert, Abdulrahman Altahhan |
| 2025 | Self-Supervised Learning for Time-Domain Radio Signal Detection. Chengzhi Ji, Xin Zhou |
| 2025 | Self-Supervised Time Series Classification Method Based on FRFT Cross-Channel Fusion. Zhongheng Sun, Yiyang Wang, Meihui Wang, Cuiling Jiang, Yongjing Wan |
| 2025 | Self-supervised Graph Convolutional Networks for Multi-criteria Rating Recommendation. Chenjiao Feng, Zhihao Guo, Peng Song |
| 2025 | Self-supervised scale and affine invariant network for image corner detection and description. Kang Liu, Yali Zhao, Jin Lu |
| 2025 | Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization. Yaoyao Zhu, Xiuding Cai, Yingkai Wang, Yu Yao, Xu Luo, Zhongliang Fu |
| 2025 | Semantic Retention and Extreme Compression in LLMs: Can We Have Both? Stanislas Laborde, Martin Cousseau, Antoun Yaacoub, Lionel Prevost |
| 2025 | Semantic and episodic memories in a predictive coding model of the neocortex. Lucie Fontaine, Frédéric Alexandre |
| 2025 | Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings. Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai, Sudip Mittal |
| 2025 | Semantic-Level Temporal Question Answering over Knowledge Graphs. Chenanran Kong, Jiacheng Wang |
| 2025 | Semi-GD: Graph-Level Consistency Regularization and Dynamic Threshold Boosted Semi-Supervised Learning. Ruixue Wang, Lizhi Peng, Shengbao Li, Kun Zhao, Huawei Yang |
| 2025 | Semi-SynRE: Enhancing Relation Extraction via Semi-Supervised Learning with Synthetic Data. Jianjian Zou, Yuhui Xiao, Qun Yang |
| 2025 | Semi-supervised Graph Neural Networks with Incremental Learning for Fraud Detection. Xue Chen, Jing Liang, Hang Yu |
| 2025 | Sentiment-aware Dual-flow Graph Convolutional Networks for Aspect Based Sentimental Analysis. Zixin Xue, Ruifan Li |
| 2025 | SentinelGNN: A Neural Network Architecture for Detecting Anomalies in Attributed Multi-graphs. Kombou Victor, Jianbin Gao, Qi Xia, Hu Xia, Befoum Stephane Richard, Kuiche Sop Brinda Leaticia |
| 2025 | Shared Knowledge Base for Multi Deep Learning in Defect Detection. Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Ahmed Nabil Belbachir, Alberto Cano |
| 2025 | Shared Latent Space by Both Languages for Non-Autoregressive Neural Machine Translation. DongNyeong Heo, Heeyoul Choi |
| 2025 | Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation. Lorenzo Cirillo, Claudio Schiavella, Lorenzo Papa, Paolo Russo, Irene Amerini |
| 2025 | Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER. Andrew Zamai, Andrea Zugarini, Leonardo Rigutini, Marco Ernandes, Marco Maggini |
| 2025 | ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems. Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2025 | SigmaCam: Exact Decision Boundary Extraction for DNNs with Smooth Nonlinearities. Nikkat Afrin, Mohammadzubair Khan, Likun Xia, Yading Yuan, Ming Ma |
| 2025 | SimCNet: Leveraging Similarity-Aware and Multi-Scale Features for Robust Cell Segmentation. Jiajie Huang, Guoheng Huang, Xiaoxue Ling, Yumian Yu, Hao Tang, Yihang Dong, Yuancong Feng, Lianglun Cheng |
| 2025 | SimMatch: Similarity threshold matching based framework for Semi-supervised medical image classification. Yufei Gao, Shanyu Zhao, Yucheng Shi, Yan Cao |
| 2025 | Similarity-based Prompt Optimization for Distilling Factual Knowledge From Language Models. Na Li, Haoran Liu, Dunlu Peng, Zied Bouraoui |
| 2025 | Simple Legal Compliance: Automating Regulatory Audits with Explainable LLMs. Jeffrey Wang, Jiayu Yuan, Jianan Liu, Lucas Evans |
| 2025 | Simple yet Effective Gradient-Free Graph Convolutional Networks. Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou |
| 2025 | Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers. Hongbo Liu, Shengjie Zhao, Weichao Chen, Deniz Gündüz |
| 2025 | Simulation-based psychological training and assessment using large language models to improve mental health practitioner training: a narrative review. Ciara Mallon, Teresa Murphy, Sophy McFarlane, Colin Gorman, Maurice D. Mulvenna, James Gorman, Michael F. McTear, Raymond R. Bond, Edel Ennis |
| 2025 | Single Cell Mosaic Integration via Regulatory Graph Guided Variational Cross-modal Fusion. Jiaheng Lv, Zixuan Wang, Zhigan Zhou, Yongqing Zhang |
| 2025 | Single Pass Uncertainty Estimation in Q-Learning via Dropout Distillation. Nikolaos Kaparinos, Nikolaos Passalis, Anastasios Tefas |
| 2025 | Single-Image to High-Quality 3D Mesh: A Deep Learning-based Automatic Modeling Approach. Ke Su, Wenli Zhong, Ying Wang |
| 2025 | Singular Value Maximization and Suppression: Addressing Imbalanced & Indistinct Classes for Domain Generalization. Bingli Wang, Jiao Li, Daixian Liu, Houcheng Su, Yuwei Kang |
| 2025 | SkinMamba: Segmentation and Classification of Skin Cancer with Multi-level Context Understanding. Yufan Zhang, Guoshun Nan, Yang Yue, Chengyao Jia, Yutong Gao, Zuye Xiao, Xu Wu |
| 2025 | SleepEFT: Signal Reconstruction and Contrastive Learning for Sleep Staging. Jiaxu Jiang, Weina Zhu |
| 2025 | Slide-CLIP: A Simple and Effective Pruning Method for CLIP. Jiaxin Shi, Xin Luo, S. Kevin Zhou |
| 2025 | Slow Feature Oscillation Enhances Reservoir Computing for Learning Long-Period Patterns. Yuji Kawai, Shinya Fujii, Minoru Asada |
| 2025 | Smart Contract Vulnerability Detection Based on Inverted Residual Network and Transfer Learning. Shuhui Zhang, Rendong Han, Lianhai Wang, Shujiang Xu, Wei Shao, Qizheng Wang |
| 2025 | SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models. Wenjie Liang, Jiale Wang, Hai-Tao Zheng, Yinghui Li, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | SoCDev: SoC Design Automation through TCL Code Generation via LLM-Based Agents. Wenjie Zhao, Yunlong Gao, Linlin Shen, Qiuming Luo |
| 2025 | Social Interaction-Aware Dynamic Expert Networks for Predicting User Opinion Dynamics. Yang Li |
| 2025 | Source-free Few-shot Segmentation for Rarer Brain Tumors. Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song |
| 2025 | SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition. Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See |
| 2025 | Space-Time Smooth Control of Closed-Loop Neuromorphic Robotic Arms Using Spiking Neural Networks. Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco |
| 2025 | Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. Shenqi Wang, Yingfu Xu, Amirreza Yousefzadeh, Sherif Eissa, Henk Corporaal, Federico Corradi, Guangzhi Tang |
| 2025 | Sparse Self Attention Network Model for Short Text Classification. Xinyuan Liang, Yongyu Liang, Chuangying Zhu, Fei Xie |
| 2025 | Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0. Davide Domini, Laura Erhan, Gianluca Aguzzi, Lucia Cavallaro, Amirhossein Douzandeh Zenoozi, Antonio Liotta, Mirko Viroli |
| 2025 | Spatial Dual Feature Aggregation Network for Lightweight Image Super-Resolution. Chengxing Xie, Linze Li, Xiaole Zhao |
| 2025 | Spatial Identity Embedding or Adjacency Matrix: Rethinking Spatial Dependency Modeling in Traffic Prediction. Weilai Zhang, Dongbin Hu |
| 2025 | Spatial-Enhanced Temporal Graph Networks for Credit Risk Prediction to Cold-Start Users. Yujia Zhang, Yunjun Gao |
| 2025 | Spatial-Temporal Multi-Scale Interactive Graph Convolutional Network for Traffic Flow Prediction. Yuehai Xu, Lai Wei, Junting Li, Xinyi Cheng, Shiyu Lu |
| 2025 | Spatio-Temporal Bidirectional Fusion RGB-T Tracking. Fang Dong, Dianxi Shi, Jianqiang Xia, Jing Xie, Shaowu Yang |
| 2025 | Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks. Weifeng Chen, Xinhai Chen, Qisong Xiao, Haijian Yang, Jiali Tu, Jie Liu |
| 2025 | Spatio-Temporal Prior Graph Convolution-Mixer for Human Motion Prediction. Zhengyi Qian, Hao Zhang, Huahu Xu |
| 2025 | Speaker Intention Enhanced Dialogue Discourse Parsing. Suxian Zhao, Nan Yu, Chen Gong, Guohong Fu |
| 2025 | Speaker Recognition and Braille Classification with a Physical Reservoir Computing System. Jamie Steel, Joshua B. Mallinson, Zachary Heywood, Sofie J. Studholme, Philip Bones, Simon F. Müller-Cleve, Chiara Bartolozzi, Simon A. Brown |
| 2025 | Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA Systems. Tuan Bui, Trong Le, Phat Thai, Sang Nguyen, Minh Hua, Ngan Pham, Thang Bui, Tho Quan |
| 2025 | SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. Lequan Lin, Dai Shi, Andi Han, Junbin Gao |
| 2025 | Specific Emitter Identification Based on Self-supervised Learning. Yurui Zhao, Xiang Wang, Didi Xie, Yu Pan, Enlin Chen |
| 2025 | Spectral Core Entropy Based Graph Data Generation Algorithm. Dongdong Nian, Dayu Qin, Ercan Engin Kuruoglu |
| 2025 | SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations. Xiaomin Yu |
| 2025 | Spiking Networked System for Anomaly Detection in Vision-Guided Robots. Antonino Maio, Enrico Catalfamo, Fabrizio De Vita, Luca Patanè, Dario Bruneo |
| 2025 | Stability-aware Neuromorphic Computation. Egor E. Nuzhin, Ivan Tyukin, Georgii Ovchinnikov, Nikolai V. Brilliantov |
| 2025 | Stance Detection on Macro Topics in Social Discussions Via Multi-Factor Aggregation Analysis. Haihua Xie, Miao He |
| 2025 | Stealthy Backdoor Attack against Object Detection. Xiaoyang Ning, Qing Xie, Jinyu Xu, Wenbo Jiang, Xiaoyuan Liu, Jiachen Li, Yanchun Ma |
| 2025 | SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects. Irina Ruzavina, Lisa Sophie Theis, Jesse Lemeer, Rutger de Groen, Leo Ebeling, Andrej Hulak, Jouaria Ali, Guangzhi Tang, Rico Mockel |
| 2025 | Step-Aware Confidence Estimation in Natural Language Reasoning. Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang |
| 2025 | StereoSync: Spatially-Aware Stereo Audio Generation from Video. Christian Marinoni, Riccardo F. Gramaccioni, Kazuki Shimada, Takashi Shibuya, Yuki Mitsufuji, Danilo Comminiello |
| 2025 | Stochastic Pruning for Neural Networks. Luis Alfredo Avendaño Muñoz, Netta Cohen, Nabi Omidvar |
| 2025 | Stochastic Trajectory Prediction via Brownian LSTM Network. Xinyu Han, Sizhao Li, Hao Yu, Tiantai Deng, Huosheng Xu |
| 2025 | Strategic Behavioral Deception in Cooperative-Competitive Multi-Agent Systems. Wei Hao, Huaping Liu, Huanhuan Lv, Wenjie Li, Wubin Chen, Lijun Chen |
| 2025 | Strategy-Augmented Planning for Large Language Models via Opponent Exploitation. Shuai Xu, Sijia Cui, Yanna Wang, Bo Xu, Qi Wang |
| 2025 | Stream Clustering Robust to Concept Drift. Félix Iglesias, Simon Konzett, Tanja Zseby, Albert Bifet |
| 2025 | Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization. Ziqiang Li, Robert Simon Fong, Kantaro Fujiwara, Kazuyuki Aihara, Gouhei Tanaka |
| 2025 | Study of YOLOv8-Based Techniques for Detecting Road Surface Damage. Yin Chen, Jiong Yu, Shu Li |
| 2025 | Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects. Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicolas Vun |
| 2025 | Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects. Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicolas Vun |
| 2025 | Style-xLSTM for Facial Age Editing. Mingyuan Li, Songcheng Xu, Renda Han, Ye Zhu, Yingchun Guo |
| 2025 | StyleCSR: Style-controllable Sequential Recommendation with Prompt Tuning. Leilei Wen, Qi Shen, Shixuan Zhu, Zhihua Wei, Wen Shen, Lijun Sun |
| 2025 | StyleLTC: Style-Infused Liquid Neural Network-Based Lightweight Architecture for Automated Claim Identification. Diya Saha, Tirthankar Dasgupta, Manjira Sinha |
| 2025 | SupGATE: Supervised Contrastive Learning and Attention-Gated Multimodal Fusion for Emotion Recognition in Conversations. Jiajun Wang, Chunqi Tian, Haiping Sun |
| 2025 | Super-Resolution Using Dual-Stage Generative Adversarial Network (DS-GAN) and IGMRF Prior. Krishna Veer Singh, Dhiraj Golhar, Manjunath V. Joshi |
| 2025 | SuperFC: Selective Data Utilization for a Sustainable and Effective Function-Calling Agent. Xinhua Yang, Yilun Liu, Shimin Tao, Chunguang Zhao, Weibin Meng, Minggui He, Chang Su, Rongrong Liu, Hongxia Ma, Li Zhang, Jingzhou Du, Duan Li, Jian Gao, Hao Yang, Boxing Chen, Chuanwen Li |
| 2025 | Surrogate Modeling of Refrigerant Circuits Using Machine Learning. Naoto Naka, Bisser Raytchev, Takumi Uemura, Mikimasa Kawaguchi, Kenta Kobayashi, Yoshiharu Ueki, Yoshitaka Wada, Toru Higaki, Kazufumi Kaneda |
| 2025 | SwinFusion-XL: Multi-Scale Fusion and Cross xLSTM for Enhanced Brain Tumor Segmentation. Zhaohan Zhang, Ruizuan Bao, Jingjun Gu, Yue Yu, Jiajun Bu |
| 2025 | SymCL: Riemannian Contrastive Learning on the Symmetric Positive Definite Manifold for Visual Classification. Yusheng Bao, Rui Wang, Tianyang Xu, Xiaojun Wu, Josef Kittler |
| 2025 | SymFace: Additional Facial Symmetry Loss for Deep Face Recognition. Pritesh Prakash, Koteswar Rao Jerripothula, Ashish Jacob Sam, Prinsh Kumar Singh, S. Umamaheswaran |
| 2025 | Symmetric masking strategy enhances the performance of Masked Image Modeling. Khanh-Binh Nguyen, Chae Jung Park |
| 2025 | SynNER: Synergizing Large and Small Language Models for Few-Shot Nested NER. Hong Ming, Jiaoyun Yang, Shuo Liu, Lili Jiang, Ning An |
| 2025 | SynNER: Synergizing Large and Small Language Models for Few-Shot Nested NER. Hong Ming, Jiaoyun Yang, Shuo Liu, Lili Jiang, Ning An |
| 2025 | Synchronization of embedded FitzHugh-Nagumo motor-neurons through phase reduction theory. Alberto Motta, Luca Patanè, Alessia Li Noce, Paolo Arena |
| 2025 | Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions. Haotian Deng, Chi Zhang, Chen Wei, Quanying Liu |
| 2025 | T Murtadha Aljubran, Muhammad Haris Khan |
| 2025 | T Quanming Liu, Xupeng Bu, Zhichao Yan, Ru Li |
| 2025 | T-NER: Triple embedding for Chinese Named Entity Recognition. Pu Li, Guopeng Cheng, Yushan Guo, Yuncheng Jiang, Guoxiang Li, Shuanghong Qu, Bin Ai |
| 2025 | T2CV-Zero: Zero-shot Character Video Generation Via Text-to-Motion Model. Yong Ma, Huasong Han, Shiyuan Shen, Wenxiao Zhang, Chao Liang, Chunxia Xiao |
| 2025 | TAAE: Team-Aware Attention Extraction for Generalized Agent Coordination in Multi-Agent Reinforcement Learning. Zhenfeng Su, Zhiming Zhou, Jiaosai Li, Ren Wen, Zhen Liu |
| 2025 | TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations. Xinyi Yin, Wenbo Yuan, Xuecheng Wu, Liangyu Fu, Danlei Huang |
| 2025 | TActiLE: Tiny Active LEarning for wearable devices. Massimo Pavan, Claudio Galimberti, Manuel Roveri |
| 2025 | TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting. Wenbo Yan, Shurui Wang, Ying Tan |
| 2025 | TDA-Net:A novel attention-based model with temporal feature fusion for Motor Imagery Classification. Zhouyang Lv, Weina Zhu |
| 2025 | TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel |
| 2025 | TF-DPNet: A Time-Frequency with Dual Perspectives Network for Multivariate Time Series Prediction. Zhijiang Wang, Yaoyuan Yang |
| 2025 | TFDB-EENet: A Time-Frequency Dual-Branch EEG Embedding Network for Multi-Task User Intention Classification. Qiaoli Zhou, Yi Zhao, Xiyuan Ye, Jiawen Song, Qiang Du, Li Ke |
| 2025 | TG-Transformer: A Graph Transformer for Token Transaction Risk Detection with Bi-Level Attention. Jiayue Zhou, Shiyao Wang, Jianan Hong, Wenjun Zhu, Cunqing Hua |
| 2025 | TIFTrack: Visual Object Tracking by Target Trajectory and Inter Frame Relationship. Zhongqin Bi, Haojin Lu, Weina Zhang, Dan Dai |
| 2025 | TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities. Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang |
| 2025 | TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon |
| 2025 | TONUS: Neuromorphic human pose estimation for artistic sound co-creation. Jules Lecomte, Konrad Zinner, Michael Neumeier, Axel von Arnim |
| 2025 | TOT-DS: Demonstration Selection for Enhancing the Reasoning Capabilities of Large Language Models. Xinyuan Liu |
| 2025 | TPOT-Clustering. Matheus Camilo da Silva, Gabriel Marques Tavares, Sylvio Barbon |
| 2025 | TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers. Younghye Hwang, Hyojin Lee, Joonhyuk Kang |
| 2025 | TRAIL: A Transformer-Enhanced Feature Embedding Approach for Unsupervised Anomaly Detection. Jingjing Feng, Wenzhuo Cui, Shuyi Zhang, Xulong Wei, Yingying Du, Yu Wen |
| 2025 | TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs. Kiran Thorat, Amit Hasan, Caiwen Ding, Zhijie Shi |
| 2025 | TRRD: Enabling Accurate and Reliable Retrieval of Time-sensitive Information. Junyao Zhou, Yushan Tan, Zibo Yi, Xian Zhou, Ruiqing Du, Wenpeng Hu |
| 2025 | TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement. Yi Li, Zhiyuan Zhang, Jiangnan Xia, Jianghan Cheng, Qilong Wu, Junwei Li, Yibin Tian, Hui Kong |
| 2025 | TSDA: A Temporal-Spatial Data Augmentation for Human Pose Recognition in Point Cloud. Ning Wang, Lei Xie, Chuyu Wang, Sanglu Lu, Long Fan |
| 2025 | TSFI-Net: An Ensemble Network for Improving Skin Cancer Detection Using Transfer Learning and Fuzzy Integral. Weihang Liu, Jiahao Chen, Jiake Lv |
| 2025 | TSNet: A Transformer-based Medical Image Segmentation Algorithm for Improving Channel Interaction. Hujin Peng, Tan Deng, Zeyu Chen, Shiyu Mei, Mingfeng Huang, Ronghui Cao, Xiaoyong Tang, Wenzheng Liu |
| 2025 | TV-MDiff: A Zero-Shot Text-To-Speech and Zero-Shot Voice Conversion System with Mamba-Based Diffusion Model. Zhihua Huang, Ke Chen, Yonghong Yan |
| 2025 | TabMeta: A Novel Framework for Chart Generation Using Metadata and Enhanced Column Attention. Yuxing Tan, Liang He, Xiaozhe Qi, Zhida Song, Tengfei Feng |
| 2025 | Tactile-Visual Class-Continual Learning via Temporal Attention Interaction. Lina Wei, Yuhang Ma, Zhongsheng Lin, Xinru Ying, Canghong Jin, Fangfang Wang |
| 2025 | Tag2Graph: A Multi-Agent Framework for Mining Knowledge Graphs from Industrial Time Series Data. Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu |
| 2025 | Tagging Generatively: Dynamic and Open-Ended Image Tagging with MLLM. Hongshuo Chen, Yixuan Cao, Shiwei Ye, Ping Luo |
| 2025 | Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data. Victoria Hankemeier, Malte Schilling |
| 2025 | Talking to the Mona Lisa? LLM-based Role-playing Agent Enables Artworks in Virtual Exhibitions to Speak. Yifan Li, Jun Meng, Qingqiang Wu |
| 2025 | Task Enhancement and Global-Local Information Fusion for Few-Shot Gas Recognition. Heng Tian, Zhihao Wu, Hai Yang, Zhe Wang |
| 2025 | Task-prompted Embedding Encoder for Multi-Task Dense Prediction. Yuhan Gao, Yun Liu |
| 2025 | Task-specific Prompt and Multi-level Linguistic Feature Enhancement for Aspect Sentiment Triple Extraction. Yu Zhang, Li Jia, Huihui Lv, Xinru Cui, Zeyu Huang, Zhaoman Zhong |
| 2025 | Teach Structure Features to Cooperate with Node Embeddings in Link Prediction. Ziwei Li, Feifei Dai, Yucan Zhou, Haihui Fan, Xiaoyan Gu, Dan Meng |
| 2025 | TechSupportEval: An Automated Evaluation Framework for Technical Support Question Answering. Bohan Chen, Yongqian Sun, Yuhe Liu, Longlong Xu, Zhe Xie, Changhua Pei, Jing Han, Fan Ni, Xuhui Cai, Ce Yang, Dan Pei |
| 2025 | Temperature Inversion guided Attention for Infrared Small Target Detection. Yuxiang Zhang, Ting Zhang, Zhaoying Liu, Bo Liu, Changming Sun |
| 2025 | Temporal Attention Mechanism Echo State Network for Ultra-Short-Term Wind Power Forecasting. Xi Li, Cheng Xie, Jing Bi |
| 2025 | Temporal Knowledge Graph Incremental Evolution Model for Sequential Recommendation. Yongwang Zhang, Xiongqing Li, Jinsong Li, Xiaoming Wu, Ranhao Guo, Chunjing Xiao |
| 2025 | Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction. Mustafa Kamal, Niyaz Bin Hashem, Robin Krambroeckers, Nabeel Mohammed, Shafin Rahman |
| 2025 | Temporal-Aware Domain Adaptation for Noise Reduction in IMU-based Facial Perception. Yanrong Li, Yingwei Zhang, Yiqiang Chen |
| 2025 | Temporal-Directed Multi-Graph Attention Network for Robust Phishing Detection in Blockchain. Luyao Peng, Yinhao Li, Shuqi He, Jun Song |
| 2025 | TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs. Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic |
| 2025 | Test Time Prompt Adaption for Domain Generalization. Haiting Zheng, Rui Ma, Shaorong Xie, Hang Yu |
| 2025 | Test Time Training for 4D Medical Image Interpolation. Qikang Zhang, Yingjie Lei, Zihao Zheng, Ziyang Chen, Zhonghao Xie |
| 2025 | Test-Time Adaptation for Cross-Subject Motor Imagery EEG Classification Using Information-Aggregation and Source-Guided Weighting. Yiheng Peng, Jingjing Luo, Hongbo Wang, Shijie Guo, Yuzhu Guo, Dongsheng Xu, Yang Li |
| 2025 | Text-Guided Image-to-Image Translation for Tactile Map Generation. Alireza Choubineh, Abbas Akkasi, Adnan Khan, Majid Komeili |
| 2025 | TextMamba: Scene Text Detector with Mamba. Qiyan Zhao, Yue Yan, Da-Han Wang |
| 2025 | Texture-Aware StarGAN for CT data harmonization. Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda |
| 2025 | The Active Suspension Control Strategy Based on Deep Reinforcement Learning Proximal Policy Optimization Algorithm. Xiaotian Gao, Keyao Chang, Beibei Liu, Yu Du |
| 2025 | The Built-In Robustness of Decentralized Federated Averaging to Bad Data. Samuele Sabella, Chiara Boldrini, Lorenzo Valerio, Andrea Passarella, Marco Conti |
| 2025 | The Drone-vs-Bird Detection Grand Challenge at IJCNN 2025. Angelo Coluccia, Alessio Fascista, Anastasios Dimou, Dimitrios Zarpalas, Lars Sommer, Arne Schumann, Emanuele Mele |
| 2025 | The Energy-Efficient Hierarchical Neural Network with Fast FPGA-Based Incremental Learning. Mohammad Saleh Vahdatpour, Huaiyuan Chu, Yanqing Zhang |
| 2025 | The Hodgkin-Huxley Neuristor. Alon Ascoli, Emanuele Gemo, Fernando Corinto, Michele Bonnin, Marco Gilli, Pier Paolo Civalleri, Ahmet Samil Demirkol, Ioannis Messaris, Vasileios G. Ntinas, Dimitrios A. Prousalis, Ronald Tetzlaff, Stefan Slesazeck, Thomas Mikolajick, Leon O. Chua |
| 2025 | The Improved Algorithm of RT-DETR Based on Multi-Head Attention Mechanism. Dong Wang, Yuntian Jiang, Shixinyu Wang |
| 2025 | The Multi-Period Time Series Forecasting Method Based on Temporal Decoupling: TimeShaper. Xinghao Wang, Zhengong Cai, Bowei Yang, Xinhua Miao, Aoyu Wang |
| 2025 | The Role of Brain Connectivity Patterns in Applying Connectome-Based Reservoir Computing to Neuroscience Tasks. Atsuko Takahashi, Ling Zhu, Makoto Fukushima |
| 2025 | The Trade-off between Efficiency, Sustainability and Explainability: a Comparative Study on the Quality Control of Laboratory Consumables. Paolo Pagliuca, Meriam Zribi, Giulia Tufo, Francesca Pitolli |
| 2025 | The impact of Sensing Parameters on Vibration Anomaly Detection Using Tiny DNNs. Edoardo Ragusa, Federica Zonzini, Luca De Marchi, Paolo Gastaldo |
| 2025 | The lane detection algorithm for row classification based on dynamic shape perception and feature alignment. Hong Wang, Wendi Wang, Kai Ren, Shasha Tian, Jun Tie |
| 2025 | The next generation of SNNs, energy effectiveness and memory optimisation. Max Talanov, Xenia Feinstein |
| 2025 | Think Before Retrieving: Query-Response Relevance Retrieval Augmented Generation. Sisi Peng, Wenlin Zhang, Dan Qu |
| 2025 | Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks. Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo |
| 2025 | Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li |
| 2025 | Time Scale Gradient Aggregation Strategy for Systems Biology Parameter Identification. Songyang Tong, Jiayang Su, Zhirong Huang, Guoqiu Wen |
| 2025 | Time Series Anomaly Detection Based on Contrastive Learning. Hongjun Heng, Shengquan Zhang |
| 2025 | Time-Lag and Edge Features Incorporated Graph Attention Network for Stock Movement Prediction. Jiahao Lai, Mengzhu Chen, Jia Cai |
| 2025 | Time2Text-PM: Reprogramming Pre-trained Models for Few-Shot Intention Recognition. Yantong Chen, Feng Hu |
| 2025 | Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda |
| 2025 | Tiny Drone Detection from Videos with Tracking-Based Temporal Lost Compensation. Azusa Sawada, Takuya Ogawa, Kyota Higa |
| 2025 | TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2025 | TinyHAR-NAS: Tuning Lightweight Attention Networks for Human Activity Recognition on the Edge. Urmi Jana, Shalini Mukhopadhyay, Swarnava Dey, Arijit Mukherjee, Arpan Pal |
| 2025 | ToP: a Structured Pathway for Document-level Information Extraction with Large Language Models. Pengfei Yin, Yubing Ren, Fang Fang, Boxiang Hu, Xu Bai |
| 2025 | Token Selection Acceleration: A Structure-Guided Approach for Diffusion Transformer Model. Weikang Zhong, Xiayong Li, Hao Wu, Guowu Yuan |
| 2025 | Topic Modeling of Mpox-related Instagram Posts: Understanding Public Perception over Time. Sunipun Seemanta, Mahmudul Haque Shakir, Riya Das, Md. Saef Ullah Miah, M. Mostafizur Rahman, Mufti Mahmud |
| 2025 | TopoLink: Topology-enhanced Graph Transformer with Extended Persistent Homology For Link Prediction. Lizhi Liu |
| 2025 | Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. Marco Montagna, Simone Scardapane, Lev Telyatnikov |
| 2025 | Topological Mapping based on Multi-Layer Growing Neural Gas for Topological Twin. Watanabe Mahiro, Takenori Obo, Chyan Zheng Siow, Naoyuki Kubota |
| 2025 | Topology-Driven Explainable GNNs for Trojan Detection in Deep Learning. Riccardo Ceccaroni, Pierpaolo Brutti |
| 2025 | Toward Invisible Region Restoration for Single-View 3D Face Reconstruction. Zhijing Cheng, Yuqing Wen, Congcong Zhu, Rui Du |
| 2025 | Towards Accurate Federated Learning under Heterogeneous Local Models via Global Model Decoupling. Shijie He, Jinshan Lai |
| 2025 | Towards An Unsupervised Deep Representations for Plant Species Recognition. Diego Henrique Presner, Andre Gustavo Hochuli, Alceu de Souza Britto Jr. |
| 2025 | Towards An Unsupervised Federated Hypernetwork Method for Distributed Anomaly Identification in Industrial IoT Environment. Junfeng Hao, Peng Chen, Xi Li |
| 2025 | Towards Automatic Rule Extraction for Intrusion Detection with Explainable AI. Xingyu Wang, Han Miao, Zhaoxuan Li, Wen Wang, Feng Liu |
| 2025 | Towards Autonomous Cyber Defence: Applying Systems Theoretic Process Analysis to Human-Machine Teaming. Shu-Jui Chang, Chris Hicks, Vasilios Mavroudis, Iain Phillips, Tim Watson |
| 2025 | Towards Effective Edge Unlearning: Enhancing Graph Unlearning via Contrastive Learning with Adversarial Example. Miaolin Xing, Jielong Zhou, Shunmei Meng, Nan Liu, Xuyun Zhang |
| 2025 | Towards Efficient Pruning and Multi-Scale Feature Transformations to Uncover Medical Diseases. Omair Bilal, Saif Ur Rehman Khan, Sajib Mistry, Novarun Deb, Mufti Mahmud, Monowar Bhuyan |
| 2025 | Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models. Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang |
| 2025 | Towards Explainable Person-of-Interest-based Audio Synthesis Detection. Alessandro Pianese, Luca Cuccovillo, Giovanni Poggi, Thomas Le Roux, Patrick Aichroth |
| 2025 | Towards Explainable Skin Cancer Diagnosis: A Vision Transformer Approach with Grad-CAM Visualization. Sonia Bouzidi, Imen Jdey, Fadoua Drira |
| 2025 | Towards Frame Rate Insensitive Video Object Segmentation. Weitu Chong, Kaer Huang, Mingjia Shi, Jian Li, Hui Yang, Dan Zhang |
| 2025 | Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory. Xiaozheng Qu, Zhaochuan Li, Zhuang Qi, Xiang Li, Haibei Huang, Lei Meng, Xiangxu Meng |
| 2025 | Towards Lightweight and Robust MCMT Tracking: Dual-Retrieval Knowledge Distillation and Scene-Aware Fusion. Sixian Chan, Xiaoxiang Chen, Chunping Wang, Wei Wang, Jiafa Mao, Jie Hu |
| 2025 | Towards Model-Agnostic Cooperative Perception. Junjie Wang, Tomas Nordström |
| 2025 | Towards More Effective Statute Retrieval for Non-Professionals: A Comparative Study of Generation-Augmented Retrieval Strategies with LLMs. Haochen Jia, Duanyu Feng, Hongan Chen, Shijia Jiang, Hao Wang |
| 2025 | Towards Open-World Video Segmentation via Iterative Automatic Prompting. Liangzhi Li, Xinru Li, Zhouqiang Jiang, Xingfu Cheng, Zhaofeng Niu, Bowen Wang, Guangshun Li |
| 2025 | Towards Realistic Generation: A Multi-Task Agent for Imitating Diverse Character Linguistic Styles. Siyuan Chen, Qingyi Si, Chenxu Yang, Zheng Lin, Yunzhi Liang, Siyang Tao, Zefeng Zhang, Weiping Wang |
| 2025 | Towards Reliable X-ray Security: SCE-DETR for Detection and Occlusion Handling. Ziyi Wang, Yangrui Fan, Ben Ye |
| 2025 | Towards Robust Alcohol Intoxication Identification Using Deep Learning with Thermal Imaging and Advanced Image Processing. Ngo Dinh Luan, Nguyen Van Thanh Thong, Hoang Ngoc Dung, Vo Thanh Bang |
| 2025 | Towards Robust Neurosymbolic Relational Learning. Thais Luca, Aline Paes, Gerson Zaverucha, Artur d'Avila Garcez |
| 2025 | Towards Roman Urdu Named Entity Recognition: Standardized Dataset and Transformer-Based Approaches. Rafiul Haq, Xiaowang Zhang, Sofonias Yitagesu, Wahab Khan, Zhiyong Feng |
| 2025 | Towards SFW sampling for diffusion models via external conditioning. Camilo Carvajal Reyes, Joaquín Fontbona, Felipe Tobar |
| 2025 | Towards a More Efficient Sinkhorn Distance Computation in Neural Topic Models. Pierre Dardouillet, Kavé Salamatian, Hervé Verjus, Faiza Loukil, David Telisson, Olivier Le Van |
| 2025 | Towards importance of periodicity estimation in long-term spatio-temporal data prediction. Julia Borisova, Nikolay O. Nikitin |
| 2025 | Traffic Sign Small Object Detection Algorithm Based on Lightweight Structure Design. Shuaibo Chen, Puping An, Shiwu Zeng, Chenyu Lin, Zhiyu Wu, Zunwang Ke |
| 2025 | Traffic Signals Enhanced Multi-modal Dual-Branch Cooperative Strategy for Autonomous Driving. Jianmei Su, Xuean Huang |
| 2025 | Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach. Miles Q. Li, Benjamin C. M. Fung, Shih-Chia Huang |
| 2025 | Training-Free Deepfake Detection: An Identity-Guided Approach Using Facial Embeddings. Mattia Aquilina, Taiba Majid Wani, Irene Amerini |
| 2025 | TrajPred-MSM: A Multi-Scale Interactive High-Definition Map Encoding Approach for Trajectory Prediction. Zuotao Ning, Haolin Xing, Jiwei Nie, Zhe Peng, Shuai Cheng, Wei Liu |
| 2025 | Transfer Learning for Temporal Link Prediction. Ayan Chatterjee, Barbara Ikica, Babak Ravandi, John Palowitch |
| 2025 | Transfer Learning in Financial Time Series with Gramian Angular Field. Hou-Wan Long, On-In Ho, Qi-Qiao He, Yain-Whar Si |
| 2025 | Transfer learning strategies comparisons of pre-trained neural model for tunnel flaws detection. Marco Martino Rosso, Salvatore Aiello, Giulia Marasco, Giansalvo Cirrincione, Bernardino Chiaia, Giuseppe Carlo Marano |
| 2025 | Transformation of audio embeddings into interpretable, concept-based representations. Alice Zhang, Edison Thomaz, Lie Lu |
| 2025 | Transformer-Based High-Resolution μCT Image Reconstruction for Cement Hydration. Pan Zhang, Liangliang Zhang, Ruiqi Han, Lin Wang, Bo Yang, Pengwei Guan, Yang Zhang |
| 2025 | Transformer-based Poisoning Detection using Concept Drift Analysis. Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca |
| 2025 | TravelNet: A Recursive Decomposition-Based Time Series Forecasting Framework for Bus Travel Time Estimation. Bolin Chen, Yi Li, Rui Li, Wenyuan Wu, Mingquan Shi, Bin Tan |
| 2025 | TriAnomalyNet: A Microservice Anomaly Detection Model Based on Multi-Stream Encoders. Zhuang Lu, Yulei Wu, He Kong, Shuai Ding, Shijun Zhao, Chunjing Han |
| 2025 | TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks. Stefano Dell'Anna, Andrea Montibeller, Giulia Boato |
| 2025 | Trustworthy and Reliable AI for Heart Disease Diagnosis: Advancing Ethical and Explainable Healthcare Decision-Making. Giovanah Gogi, Santosh Gurung, Alexander E. Gegov, Farzad Arabikhan, Alexandar Ichtev |
| 2025 | Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios. Ciaran Bench, Emir Ahmed, Spencer Thomas |
| 2025 | Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems. Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao |
| 2025 | Twin Restricted Kernel Machines for Multiview Classification. Abdul Quadir, M. Sajid, Mushir Akhtar, Muhammad Tanveer |
| 2025 | Two-Level Test-Time Adaptation in Multimodal Learning. Jixiang Lei, Franz Pernkopf |
| 2025 | Two-Stage Loss and Anaphor Information Fusion for Document-Level Relation Extraction. Huageng Zhong, Xiao Wei |
| 2025 | Two-Stage Signal Detection in High-Resolution Time-Frequency Images: Preprocessing with Computer Graphics and Refined DETR. Zhenghao Li, Xin Zhou |
| 2025 | U-Net-Like Spiking Neural Networks for Single Image Dehazing. Huibin Li, Haoran Liu, Mingzhe Liu, Yulong Xiao, Peng Li, Guibin Zan |
| 2025 | U3PNet: Three-Branch Spatial-Spectral Fusion for Super-Resolution with Prompt Tuning. Shengjie Zhang, Xingwang Wang, Meiming Yu |
| 2025 | UFormer:A U-Net Framework For Long-Term Time Series Forecasting. Yu Li, Tao Liu |
| 2025 | UGCE: User-Guided Incremental Counterfactual Exploration. Christos Fragkathoulas, Evaggelia Pitoura |
| 2025 | UGS-MedSeg: An Intelligent Pathology Images Semi-segmentation System. Baotian Li, Wendong Chen, Ruina Mao, Shuai Wang |
| 2025 | ULBNN: Ultra-lightweight BNN Accelerator for Out-Of-Order Execution in Autonomous Driving. Mingke Xiao, Guanglong Qu, Yutong Jia, Linlin Xiao, Yue Su, Yukuan Chang, Xu Zhang |
| 2025 | UMGen: Multi-scale and Multi-region Joint Prediction Pipeline for Uveal Melanoma Prognosis-related Gene Subtyping. Zhuo Deng, Zheng Gong, Ruiheng Zhang, Li Dong, Weihao Gao, Lei Shao, Wenbin Wei, Lan Ma |
| 2025 | UML-MVSNet: Uncertainty-guided Multi-task Learning for Multi-view Stereo. Yuanliang Lu, Qian Zhang, Jianji Wang |
| 2025 | UMOS-Net: Unsupervised Multi-stage Online Video Stabilization Network. Pengyuan Wang, Pingle Qin, Jia Qin, Rui Chai, Jianchao Zeng, Pengcheng Zhao |
| 2025 | UPTPHE: Leveraging Hybrid Attention and Hierarchical Structure for Enhanced Extraction of Patent Technical Phrases. Zhuang Lv, Xingjian Xu |
| 2025 | UR4NNV: Neural Network Verification, Under-approximation Reachability Works! Zhen Liang, Taoran Wu, Ran Zhao, Bai Xue, Ji Wang, Wenjing Yang, Shaojun Deng, Wanwei Liu |
| 2025 | UTD-SCnet: Underwater Target Detection in Sonar Image based on Spatial and Channel Attention Net. Zhipeng Zhang, Zheng Ding, Zhichao Tang, Kaitao Wu, Lei Sheng, Xiangdang Huang |
| 2025 | UTSC: Uncertainty-Aware Framework for Early Time Series Classification. Naixin Yan, Jun Hu, Yuqi Chu, Shuguo Hu, Huaiwen Zhang |
| 2025 | UVL: UAV Visual Localization Method with Enhanced Feature Associations via Visual Attention Mechanism. Xin Li, Shang Wang, Zhimin Mao, Yuetian Shi, Geng Zhang, Bingliang Hu |
| 2025 | Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. Shaeke Salman, Montasir Shams, Mao Nishino, Xiuwen Liu |
| 2025 | Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective. Xueqiong Yuan, Jipeng Li, Ercan Engin Kuruoglu |
| 2025 | Uncertainty-Aware 2D Gaussian Splatting for Mesh Reconstruction Under Restricted Views. Yuandong Li, Qinglei Hu, Zhenchao Ouyang, Pengyu Guo, Cuicui Jiang |
| 2025 | Uncertainty-Guided Curriculum Design: robust policy learning with adversarial environment. Wenning Hu, Lianke Zhou, Ming He, Nianbin Wang |
| 2025 | Uncertainty-Guided Prototype Mixture Model for Skin Lesion Segmentation. Wenxuan Li, Shaoyu Wang, Nuo Chen, Ran Lu, Xiujin Shi |
| 2025 | Uncertainty-aware and Pseudo-supervised Guided Semi-supervised Liver Tumor Segmentation. Kai Zhao, Zhen Chen, Juan Chen |
| 2025 | Uncertainty-guided boundary enhancement network for breast ultrasound image segmentation. Rongsheng Fan, Jun Liu |
| 2025 | Uncovering the EEG Temporal Representation of Low-dimensional Object Properties. Jiahua Tang, Song Wang, Jiachen Zou, Chen Wei, Quanying Liu |
| 2025 | Understanding User Behavior in Cross-Domain Recommendation: An LLM-Based Approach. Dipak Falgun Meher, Ajay Krishna Vajjala, David S. Rosenblum |
| 2025 | Understanding cognitive training from chaotic neural networks and phase space. Jinhang Li, Guiyang Lv, Ping Zhu, Feiyan Chen, Guoguang He |
| 2025 | Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs. Zifei Xu, Sayeh Sharify, Wanzin Yazar, Tristan Webb, Xin Wang |
| 2025 | UniROD: Unified Radar Object Detection with MAE-pretrained CNN-Transformer Fusion. Hongliang Chen, Kaitai Guo, Chen Wei, Yang Zheng, Haihong Hu, Shenghan Ren, Jimin Liang |
| 2025 | Unimodality-Supervised Contrastive Learning and Inference Enhancement Method for Medical Visual Question Answering. Yunlong Tian, Zhaowei Qu, Zehua Zhang, Dongxin Zhou, Mujin Liu |
| 2025 | Unsupervised Defect Detection in Automotive Quality Inspection with Convolutional Autoencoder. Alessandro Casella, Vincenzo Randazzo, Eros Pasero |
| 2025 | Unsupervised Dual-discriminative Graph Neural Network for Anomaly Detection. Yiran Liu, Jiong Yu, Zhuang Chu, Shu Li, Xusheng Du |
| 2025 | Unsupervised Speech Unit Boundary Detection Guided by Linguistic Rule Knowledge. Sanlong Jiang, Ling Dong, Wenjun Wang, Zhengtao Yu, Shengxiang Gao |
| 2025 | Unsupervised Temporal Action Segmentation Based on Wavelet Feature Processing. Xianghan Lin, Jinrong Zhang, Lin Feng |
| 2025 | Unveiling Genuine Emotions: Integrating Micro-Expressions and Physiological Signals for Enhanced Emotion Recognition. Chuang Ma, Shaokai Zhao, Yu Pei, Liang Xie, Erwei Yin |
| 2025 | Unveiling Hidden Gems: Enhancing Entity Resolution with a Data Perspective. Hongtao Song, Shuang Zhang, Yuhan Zhao, Qilong Han |
| 2025 | Upper confidence bound multi-armed bandits for partially observed Hawkes processes. Wen-Hao Chiang, George O. Mohler |
| 2025 | User to Video: A Model for Spammer Detection Inspired by Video Classification Technology. Haoyang Zhang, Zhou Yang, Yucai Pang |
| 2025 | Using Domain Adapter and Prompt Learner for Few-Shot Teaching Action Recognition in videos. Feixiang Ge, Xinlei Li, Yan Rong, Jiawen Liu, Linqiang Hu |
| 2025 | Using Knowledge Graph Dynamics to Describe Group Ideation Effectiveness in Problem Solving. Mason Malone, Simona Doboli, Alex Doboli, Jared B. Kenworthy |
| 2025 | Using Language Models for Extracting Legal Decisions from Portuguese Consumer Law Texts. Santiago Vasquez, Thiago M. Carvalho, Diego Páez Ardila, João Verçosa, Eduardo Ramos, Alimed Celecia Ramos, Isabella Zalcberg Frajhof, Ana Lara Mangeth, Maria Julia de Lima, Karla Figueiredo, Meyer Nigri, Marley M. B. R. Vellasco |
| 2025 | Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2025 | Using Topology-Aware Reinforcement Learning to Synthesize Quantum Linear Reversible Circuits. Giovanni Acampora, Allegra Cuzzocrea, Marco Lapegna, Roberto Schiattarella, Autilia Vitiello |
| 2025 | V Zilu Xiu, Qixue He, Yong Zhong, Jionghuan Chen |
| 2025 | V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos. Qixin Wang, Songtao Zhou, Zeyu Jin, Chenglin Guo, Shikun Sun, Xiaoyu Qin |
| 2025 | V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models. Guilherme Vieira Neto, Marcos Eduardo Valle |
| 2025 | VFCAnet: Voxel-wise Fusion and Channel-wise Attention Network for 3D Semantic Occupancy Prediction in Autonomous Driving. Lu Hejiu, Sang Hun Lee |
| 2025 | VFL-RPS: Relevant Participant Selection in Vertical Federated Learning. Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik |
| 2025 | VICount: Device-free Crowd Counting System Using WiFi Signals. Ying Zhang, Baoqi Huang, Bing Jia |
| 2025 | VIP: Versatile Identity Protection with Dual-property Watermarking System. Yuyang Sun, Federico Savonuzzi, Ching-Chun Chang, Xing Zhang, Isao Echizen |
| 2025 | VIS-Llama: Automated Visualization of Food Cold Chain Data Leveraging the Large Language Model. Li Wang, Yi Chen, Cheng Lv, Qinghai Zhang, Yuqing Yang, Christy Jie |
| 2025 | VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning. Alexandros Xenos, Niki Maria Foteinopoulou, Ioanna Ntinou, Ioannis Patras, Georgios Tzimiropoulos |
| 2025 | VMC-UNet: A U-shaped structure combining Mamba and CNN for medical image segmentation. Haocun Li, Kaiyan Song, Ping Zhang, Haizheng Yu, Hong Bian |
| 2025 | VMS2-UNet: A Lightweight Non-Causal Vision Mamba2 Model with State Space Duality for Medical Image Segmentation. Jiawei Mo, Chaoqun Wang |
| 2025 | Value of Information-Enhanced Exploration in Bootstrapped DQN. Stergios Plataniotis, Charilaos Akasiadis, Georgios Chalkiadakis |
| 2025 | Vanishing Privacy: Fast Gradient Leakage Threat to Federated Learning. Yingzhao Jiang, Xinhao Liu, Qiao Yan |
| 2025 | Variational Inference for Quantum HyperNetworks. Luca Nepote, Alix Lhéritier, Nicolas Bondoux, Marios Kountouris, Maurizio Filippone |
| 2025 | Vehicle-Arm Coordination-Based Active 3D Reconstruction using Deep Reinforcement Learning. Liangbai Liu, Ping Zhong, Bolei Chen, Jiaxu Kang, Haonan Yang, Yifei Wang |
| 2025 | ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction. Patrick Takenaka, Johannes Maucher, Marco F. Huber |
| 2025 | View-Robust Backbone and Discriminative Reconstruction for Few-Shot Fine-Grained Image Classification. Jiawen Jiang, Jiahang Li, Jin Lu |
| 2025 | View-Robust Backbone and Discriminative Reconstruction for Few-Shot Fine-Grained Image Classification. Jiawen Jiang, Jiahang Li, Jin Lu |
| 2025 | Violating Content Detection Based on Knowledge Graph and Heterogeneous Graph Neural Network. Shuyue Zhang, Xinyi Zhou, Xiongtao Sun, Hui Li |
| 2025 | Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study. Roberto Corizzo, Alex Godwin, Massimiliano Altieri, Michelangelo Ceci |
| 2025 | Visual Intelligence for Driving Assistance on Multi-Hardware Platforms via Architecture Search. Ke Xu, Tianyu Zhou, Xiaoyun Wang, Juan Xie, Xueliang Ma, Jianfeng Qiu |
| 2025 | Vocalization-based Fine-grained Prediction of Giant Panda Ovulation Time. Jinlong Tang, Qijun Zhao, Peng Chen, Rong Hou, Tie Liu, Fan Pan, Wei Sun, Mengnan He, Pengcheng Wu |
| 2025 | VulnTeam: A Team Collaboration Framework for LLM-based Vulnerability Detection. Jiayuan Li, Lei Cui, Wenyan Yu, Haiqiang Fei, Feng Cheng, Hongsong Zhu |
| 2025 | Vulnerability Detection in EOSIO Smart Contracts Based on Teacher-Student Networks. Shenao Lin, Meng Wang, Miao Wang |
| 2025 | WDSF-Mamba: Clothing Parsing via Wavelet Domain Spatial-Frequency Mamba. Zhongyuan Teng, Shaoyu Wang, Xinyi Luo, Shiying Yang, Nuo Chen |
| 2025 | WHC-Eval:Evaluating Hallucinations in LLMs with Real-World Chat Data. Yuying Zhang, Jing Yun, Xiaoguo Shi, Xueying Liu |
| 2025 | WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. Pietro Bongini, Sara Mandelli, Andrea Montibeller, Mirko Casu, Orazio Pontorno, Claudio Vittorio Ragaglia, Luca Zanchetta, Mattia Aquilina, Taiba Majid Wani, Luca Guarnera, Benedetta Tondi, Giulia Boato, Paolo Bestagini, Irene Amerini, Francesco G. B. De Natale, Sebastiano Battiato, Mauro Barni |
| 2025 | WPMnet: Time Series Forecasting via Wavelet Patch Multi-Scale. Botao Wu, Xuelin Cheng, Haozheng Yang, Runjie Zhao, Chang You |
| 2025 | WRN-YOLO: An Improved YOLO for Drone Detection using Wide ResNet. Yi Jie Wong, Wingates Voon, Mau-Luen Tham, Ban-Hoe Kwan, Yoong Choon Chang, Yan Chai Hum |
| 2025 | WTBFlaw-YOLO: YOLO Network for Surface Defect Detection of Wind Turbine Blades. Mengfan Yuan, Bing Jia, Baoqi Huang, Winston K. G. Seah |
| 2025 | WTHFL: Coarse- to Fine-Grained Hierarchical Feature Learning for Flood Forecasting. Xueyi Liu, Jun Feng, Haiyue Tong, Dongyu Wang, Pingping Shao |
| 2025 | Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection. Yunqi Hao, Yihao Chen, Minqiang Xu, Jianbo Zhan, Liang He, Lei Fang, Sian Fang, Lin Liu |
| 2025 | Wave Height Prediction: 3D Spatiotemporal FourCastNet Method with Multi-Factor. Yi Zheng, Chenchen He, Zhanao Huang, Canghong Shi, Xiaojie Li, Yingjie Deng, Zhipeng Yang, Xi Wu |
| 2025 | Wavelet Transform and Convolution Combined Network for Unsupervised Anomaly Detection. Yujie Wang, Xufei Zhuang, Ting Du, Ziheng Li, Qing-dao-er-ji Ren, Xiaoqiang Wang, Na Liu, Nier Wu |
| 2025 | WaveletLoc: A Lightweight Deep Learning Model for Indoor Positioning Based on Wavelet Transform. Shilin Ruan, Jianga Shang, Zhe Jian |
| 2025 | Weakening Prediction Confidence Makes Backdoors Strengthened: A Strong Textual Backdoor Attack on Prefix-tuning. Yixin Tan, Haoyu Zhang, Jun Sakuma |
| 2025 | Weakly Supervised Lesion Detection Guides Diabetic Retinopathy Grading. Jun Li, Hantao Zhang, Shouhong Wan, Qingshan Hou, Peng Cao, Banghao Yin |
| 2025 | Weakly Supervised Video Anomaly Detection Based on Spatiotemporal Dual-Memory Enhancement and Contrastive Magnitude. Xiang Ma, Guoyou Zhang, Lihu Pan, Rui Zhang, Dali Gong |
| 2025 | Weakly Supervised Video Anomaly Detection Via Contrastive Clustering. Weihua Meng, Hengbo Xu, Qinyi Lv, Congqi Cao, Yanning Zhang |
| 2025 | Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise |
| 2025 | What Happens in the Surroundings: A Benchmark for 360° image Captioning. Wenhui Jiang, Tiancong Xu, Haijun Li, Zichen Li, Yuming Fang, Zhen Tang |
| 2025 | What is Wrong with Visual Brain Decoding? A Saliency-based Investigation. Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni |
| 2025 | When Explainability Meets Vision AI: Analyzing CNNs, Transformers, and State-Space Models in Healthcare. Utkarsh Varman, Vandana Bharti, Anshul Sharma, Abhinav Kumar, Sanjay Kumar Singh |
| 2025 | When Fundamental Rights Meet Artificial Intelligence: an Extended Framework for Impact Assessment in the Age of Generative AI. Andrea Cosentini, Oreste Pollicino, Giovanni De Gregorio, Andrea Ermellino, Dario Fontanella, Nicole Inverardi, Federica Paolucci, Ilaria Penco, Daniele Regoli, Silvia Tessaro Trapani |
| 2025 | Who is driving this deepfake? Beyond Deepfake Detection with Driver Identification. Alexandre Libourel, Jean-Luc Dugelay |
| 2025 | Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects. Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein |
| 2025 | Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber |
| 2025 | Working Towards Toxic datasets for LLM Safeguarding. Liuye Guo, Ziyuan Wang, Zhipeng Wang, Tieke He |
| 2025 | XGBoost6mA: A Framework for 6mA Site Prediction Based on Deep Learning and XGBoost. Zhixiang Xu, Jiaxin Zhong, Wen Wen, Yufei Bao, Xiaoya Fan, Xiangtao Liu, Zhong Wang |
| 2025 | YOLO-DYN: An Improved YOLOv8 Model for Multi-Scale Object Detection. Chao Zhang, Xu Liu, Xiang Li, Ming Ma |
| 2025 | YOLO-Driven Prompt Generation for SAM-Based Brain Tumor Segmentation. Bolin Lv, Ming Yuan |
| 2025 | YOLO-FEE: An Improved Fabric Defect Detection Model Based on YOLOv11s. Zhenyu Wen, Wei Pan, Zhanshuo Dong, Junxia Wang, Jie Su, Fanghong Guo, Xiang Wu, Yejian Zhou |
| 2025 | YOLO-GSW: A Lightweight Multi-Granularity Fruit Detection Algorithm for Complex Life Scenarios. Yilong He, Huijun Yang |
| 2025 | YOLO-HDM: Small Target Cell Micronucleus Detection Based on Re-parameterization Multi-layer Adaptive Feature Fusion. Weiyi Wei, Linfeng Cao, Yangzhi Zhen, Yibin Wang |
| 2025 | YOLO-WKPose: An Advanced Algorithm for Key Point Detection in Fixed-Wing UAVs. Jianghao Zhao, Feng Hu |
| 2025 | YOLO-Wide: A Complex Background Small Object Detection Network for Wide-Field High-Resolution Cameras. Xiaomin Chen, Yue Zhang, Zengping Chen |
| 2025 | YOLO-fungi: Detection Method for the Growth Stages of Edible Fungi under Complex Environments. Wenqian Zhang, Xin Wang, Jiule Huang, Huijun Yang |
| 2025 | You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models. Shiwei Ding, Lan Zhang, Zhenlin Wang, Giuseppe Ateniese, Xiaoyong Yuan |
| 2025 | Zero-shot Decentralized Federated Learning. Alessio Masano, Matteo Pennisi, Federica Proietto Salanitri, Concetto Spampinato, Giovanni Bellitto |
| 2025 | Zero-shot Stance Detection with Sentiment Signals and Contrastive Learning. Guangzhen Liu, Kai Zhao, Linlin Zhang, Xuehua Bi, Xiaoyi Lv, Cheng Chen |
| 2025 | k-Odd One Clear (k-OOC), A Novel GPU Kernel That Improves Quantization Accuracy And Speed Of GPTQ Algorithm. Loi Huynh |
| 2025 | l1 Regularization Based Random Vector Functional Link Network for Alzheimer's Disease Diagnosis. Tripti Goel, Raveendra Pilli, Shradha Verma, Muhammad Tanveer, R. Murugan, Ponnuthurai N. Suganthan |
| 2025 | mimicSAM: Guided Knowledge Transfer for SAM via Key Regions and Boundary Information. Yixing Ma, Chengliang Wang, Xing Wu, Lingqiu Zeng, Peng Wang, Hongqian Wang |
| 2025 | torchcvnn: A PyTorch-based library to easily experiment with state-of-the-art Complex-Valued Neural Networks. Jérémy Fix, Quentin Gabot, X. Huy Nguyen, Joana Frontera-Pons, Chengfang Ren, Jean Philippe Ovarlez |
| 2025 | xLSRec: xLSTM for Sequential Recommendation. Haibo Liu, Mingyu Zhao, Jinglian Liu |