IJCNN B

1646 papers

YearTitle / Authors
20242MF-Net: 3D Cardiac Keypoint Detection with Multi-scale and Multi-dimension Feature Fusion Net.
Guodong Zhang, Yanlin Li, Bo Zhou, Tingyu Liang, Zhuoning Zhang, Ronghui Ju
20243D CBAM-EResNet: An Enhanced ResNet Network with 3D Channel and Spatial Attention for Stroke Imaging Lesion Recognition.
Junguang Su
20243DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference.
Xu Kang, Zhiyang Jia, Jia Jia, Jiadong Ren
20245W1H Extraction With Large Language Models.
Yang Cao, Yangsong Lan, Feiyan Zhai, Piji Li
2024A Behavioral Recognition-Based Federated Learning Framework for IoT Environments.
Ruizhong Du, Shuai Li, Pengyuan Zhao
2024A Benchmark and Baseline for Open-Set Incremental Object Detection.
Qian Wan, Shouwen Wang
2024A Bio-Inspired and Solely Vision-Based Model for Autonomous Navigation.
Tingtao Chen, Xuelong Sun, Qinbing Fu, Ziyan Qin, Jigen Peng
2024A Bionic Natural Language Parser Equivalent to a Pushdown Automaton.
Zhenghao Wei, Kehua Lin, Jianlin Feng
2024A Brain-inspired Method for Occluded 3D Object Recognition.
Zining Wan, Jiahong Zhang, Lihong Cao
2024A CLIP-based Siamese Approach for Meme Classification.
Javier Huertas-Tato, Christos Koutlis, Symeon Papadopoulos, David Camacho, Ioannis Kompatsiaris
2024A COVID-19 CXR Image Recognition Method Based on Deep Transfer Learning.
Justin An, Nian Zhang, Wagdy H. Mahmoud, Max Denis
2024A Causal Stacking Hidden Markov Model for Time Series Forecasting.
Hui Niu, Xinheng Li, Jian Li
2024A Clustering Method with Graph Maximum Decoding Information.
Xinrun Xu, Manying Lv, Zhanbiao Lian, Yurong Wu, Jin Yan, Shan Jiang, Zhiming Ding
2024A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection.
Guoqing Yang, Jianzhe Gao, Kejia Zhang, Yifan He, Zhiming Luo, Shaozi Li
2024A Combination of LERT and CNN-BILSTM Models for Chinese Music Named Entity Recognition.
Chaoguo Wang, Liang Zhang, Wei Yan
2024A Complementary Action Recognition Network based on Conv-Transformer.
Linfu Liu, Lin Qi, Yun Tie, Chengwu Liang
2024A Comprehensive Framework and Empirical Analysis for Evaluating Large Language Models in Arabic Dialect Identification.
Sadam Al-Azani, Nora Alturayeif, Haneen Abouelresh, Alhanoof Alhunief
2024A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.
Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh
2024A Cross-Age Face Recognition Method Utilizing Non-linear Decoupling of Multi-level Features.
Wentao Duan, Min Zhi, Yanjun Yin, Xiangwei Ge, Xuanhao Qi, Wei Hu
2024A DAS Signal Events Recognition Method Based on 1DCNNs-gMLP.
Wanchang Jiang, Zhenxiao Sun
2024A Debiased Domain Adaptation Framework with Minimum Class Confusion for Motor Imagery Decoding.
Cunhang Fan, Zhen Chen, Xun Song, Xinhui Li, Jun Xue, Ping Li, Zhao Lv
2024A Decomposition Framework for Class Incremental Text Classification with Dual Prompt Tuning.
Bo Xu, Yifei Wu, Shufei Li, Hui Song, Ming Du, Hongya Wang
2024A Diffusion Model for Inductive Knowledge Graph Completion.
Zhiyu Chen, Guojiang Shen, Yuqi Shen, Zhi Liu, Xiangjie Kong
2024A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction.
Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024A Fair Incentive Mechanism for Federated Auctioning Networks.
Yansong Zhao, Siyao Zhou, Yulan Gao, Han Yu
2024A Fast ADMM Framework for Training Deep Neural Networks Without Gradients.
Xueting Wen, Yongmei Lei
2024A Fast Heterogeneous Information Network Embedding Framework.
Kuangmeng Wang, Hong Zhang
2024A Feature Extraction Framework for 3D Scientific Voxel Object Using SVD and Neural Network.
Zhichen Feng, Yaqian Gao, Huang Ye, Jian Zhang
2024A Feature Fusion-Based ResNet Using the Pooling Pyramid for Age Estimation.
Chuanze Lin, Jin Gou, Zongwen Fan, Yongxin Liao
2024A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices.
Harry Maltby, Julie A. Wall, Cornelius Glackin, Mansour Moniri, Nigel Cannings, Iwa Salami
2024A Full-Granularity Anomaly Detection Model Based on Attribute-Enhanced Sampling.
Longlong Jiao, Meijuan Yin, Xiangyang Luo, Shunran Duan
2024A Fuzzy Convolutional Neural Network for the Classification of Aerosol Particle Mass Spectral Patterns Generated by Single-Particle Mass Spectrometry.
Guanzhong Wang, Heinrich Ruser, Julian Schade, Johannes Passig, Ralf Zimmermann, Günther Dollinger, Thomas Adam
2024A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks.
Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra
2024A Gaussian Mixture Synapse Model for Time Varying Weight Spiking Neural Classifier.
P. Md. Thousif, V. Sundaram Suresh, Shirin Dora
2024A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory.
Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima
2024A Hierarchical Korean-Chinese Machine Translation Model Based on Sentence Structure Segmentation.
Fan Liu, Yahui Zhao, Guozhe Jin, Xinghua Lu, Zhejun Jin, Rongyi Cui
2024A High-Dimensional Temporal Data Publishing Method Based on Dynamic Bayesian Networks and Differential Privacy.
Yaxin Wang, Zhen Zhang, Heng Qian, Yongchao Gao, Qiuyue Wang
2024A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information.
Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura, Katsumi Tateno, Takashi Morie
2024A Hybrid Bayesian-Heuristic Inference System for Recognition of Gait Phase.
Samer A. Mohamed, Uriel Martinez-Hernandez
2024A Joint Model with Contextual and Speaker Information for Conversational Causal Emotion Entailment.
Shanliang Yang, Guozheng Rao, Li Zhang, Qing Cong
2024A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic.
Yuecheng Wen, Xiaohui Han, Wenbo Zuo, Weihua Liu
2024A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm.
Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella
2024A Lightweight Chinese Multimodal Textual Defense Method based on Contrastive-Adversarial Training.
Xiangge Li, Hong Luo, Yan Sun
2024A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography.
Jin Zhao, Qi Zhang, Caijie Qin, Tao Lu, Zhaoyi Ning, Qiang Guan, Xibo Ma
2024A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval.
Yuxiang Song, Yuxuan Zheng, Shangqing Zhao, Shu Liu, Xinlin Zhuang, Zhaoguang Long, Changzhi Sun, Aimin Zhou, Man Lan
2024A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis.
Sao Mai Nguyen, Maxime Devanne, Olivier Rémy-Néris, Mathieu Lempereur, André Thépaut
2024A Meta-Learning-Based Joint Two-View Framework for Inductive Knowledge Graph Completion.
Doudou Yang, Zhixin Shi, Yangyang Zong, Xiaoyu Kang
2024A Method for Cultural Relics Named Entity Recognition Based on Enhanced Lexical Features.
Yao Li, He Yan, Yunxiang Yang, Xu Wang
2024A Method for Tibetan Offensive Language Detection Based on Prompt Learning and Information Theory.
Hang Ren, Jin Yang, Shengqiao Ni, Qin Yang, Jing Zhang, Nuo Qun
2024A Method of Path Planning and Intelligent Exploration for Robot Based on Deep Reinforcement Learning.
Xianglin Lyu, Zhaoxiang Zang, Sibo Li
2024A Mobile Application for Speed Bump Sign Detection Using Neural Networks.
Matheus Meier Schreiber, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos
2024A Multi-Agent Deep Reinforcement Learning Framework for the Stable Landing of a Flexibly Connected Three-Node Space Probe.
Kang Fu, Qingjie Zhao
2024A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification.
Yujie Yan, Yi Liu, Yafeng Wang, Caihong Mu
2024A Multi-Exposure Generation and Fusion Method for Low-Light Image Enhancement.
Haiyan Jin, Long Li, Haonan Su, Yuanlin Zhang, Zhaolin Xiao, Bin Wang
2024A Multi-objective Perspective Towards Improving Meta-Generalization.
Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi
2024A Multi-task Learning Governed Temporal Convolutional Network for Predicting Rare HVAC Compressor Faults.
Hong Wang, Zijun Zhang
2024A Multimodal Contrastive Network with Unbiased Distillation for Knowledge-based VQA.
Zihan Hu, Ruoyao Ding, Haoran Xie, Zhenguo Yang
2024A Multimodal Correlation and Interaction-based Method for Cyberbullying Detection.
Lin Zhu, Xiaoyu Sean Lu, Rui Zhang, Bo Huang
2024A Network Latency Prediction Method Based on Sequence Decomposition and GNN.
Chuhao Chen, Wei Li, Xiangxu Meng, Linying Yang, Wenqi Zheng
2024A Neural Network Architecture for Learning a Feedback Controller from Demonstration.
Arash Mehrabi, Erhan Öztop
2024A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.
Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar
2024A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication.
Raiane Rocha Reis, Suane Pires P. da Silva, Elene Firmeza Ohata, Thiago F. Portela, Glendo de Freitas Guimarães, Aderaldo Irineu Levartoski de Araujo, Pedro Pedrosa Rebouças Filho, Paulo A. L. Rego
2024A Novel Confidence Score Exploiting Attacks on Classification Trees and Random Forest Classifiers.
Batnyam Enkhtaivan, Isamu Teranishi
2024A Novel Exponential Dynamic Inertia Weight for Particle Swarm Optimization.
Zhiyang Li, Wentao Ding, Xiujin Wang, Wuyungerile Li, Winston K. G. Seah
2024A Novel Loss Incorporating Residual Signal Information for Target Speaker Extraction Under Low-SNR Conditions.
Sijie Wang, Askar Hamdulla, Mijit Ablimit
2024A Novel Parameter-Free Attention-based Multiscale Convolution Prototype Networks for P300 Brain-computer Interface.
Jiahang Wang, Fei Wang, Huanchang Yan, Zekun Zheng
2024A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms.
Adolfo Perrusquía, Weisi Guo
2024A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion.
John Doherty, Bryan Gardiner, Nazmul H. Siddique, Emmett Kerr
2024A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging.
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
2024A Novel Wireless CPG Based on Ergodic Sequential Logic Dynamics: Synchronization Analysis, Efficient FPGA Implementation, and Applications to Robot Control and Functional Electronic Stimulation.
Rikuto Nozu, Yunosuke Takemae, Hiroyuki Torikai
2024A Place Cell Model for Spatio-Temporal Navigation Learning with LSTM.
Thiago Medeiros, Alfredo Weitzenfeld
2024A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption.
Yiming Zhang, Hangjie Yi, Wanzeng Kong
2024A Proposal for a Fusion of an Ensemble with Error Correction Model Applied to Automotive Time Series.
Diogo M. Almeida
2024A ROS-Based Data-Driven Motion Self-Recognition System Using Deep-Learning Convolutional Neural Networks in a Military Unmanned Ground Vehicle.
Fendy Santoso, Anthony Finn
2024A Real-Time Grasp Detection Network Based on Multi-scale RGB-D Fusion.
Dingxi Liu, Xiaodong Feng
2024A Real-Time Unmanned Aerial Vehicle (UAV) Aerial Image Object Detection Model.
Li Tan, Zikang Liu, He Liu, Dongfang Li, Chen Zhang
2024A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning.
Hongyin Zhang, Shuyu Yang, Donglin Wang
2024A Review of Mongolian Neural Machine Translation from the Perspective of Training.
Yatu Ji, Zhang Huinuan, Nier Wu, Qing-dao-er-ji Ren, Lu Min, Shi Bao
2024A Riemannian Residual Learning Mechanism for SPD Network.
Zhenyu Cai, Rui Wang, Tianyang Xu, Xiaojun Wu, Josef Kittler
2024A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection.
Sebastián Basterrech, Line Harder Clemmensen, Gerardo Rubino
2024A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks.
Santiago C. Vilabella, Pablo Pérez-Núñez, Beatriz Remeseiro
2024A Semantic-Aware Approach to Image Deraining with Transformer.
Jun Hu, Lang Li, Bin Liu, Jiuming Cheng, Jianyu Li, Congming Dai
2024A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE.
Xia Hong, James Xiao, Hong Wei
2024A Small-Footprint Keyword Spotting Modeling with Novel Data Augmentation Methods.
Wei-Kai Huang, Kuan-Yu Chen
2024A Structure-Aware Graph Representation Learning Optimization.
Ping Li, Shuhan Song, Huawei Cao, Yuan Zhang, Zhimin Tang, Xiaochun Ye
2024A Study on the Effectiveness of GPT-4V in Classifying Driver Behavior Captured on Video Using Just a Few Frames per Video.
Joao Felipe Gobeti Calenzani, Victor Nascimento Neves, Lucas Thom Ramos, Lauro Jose Lyrio Junior, Luiz C. S. Magnago, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza
2024A Suitable and Efficient Super-Resolution Network for Neural Video Delivery.
Wenbin Tian, Qingmiao Jiang, Haolin Li, Lu Chen, Jinyao Yan
2024A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice.
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
2024A Temporal and Self-Attention Based Method for Small Object Detection in UAV Imagery.
Liang Zuo, Jie Hao, Lingxiao Yu
2024A Thompson Sampling Approach to User-centric Selection Problems.
Yanying Huang, Haoran Gu, Hong Xie, Mingqiang Zhou
2024A Time-Surface Enhancement Model for Event-based Spatiotemporal Feature Extraction.
Haohui Ding, Jiaqiang Jiang, Rui Yan
2024A Transferable Adversarial Attack against Object Detection Networks.
Yier Wei, Haichang Gao, Xingyi Quan, Guotu Luo
2024A Transformer Model Incorporating Dynamic Chunking Strategy for Multivariate Time Series Classification.
Yiyang Wang, Shijia Li, Ziyuan Cheng, Zhongheng Sun, Cuiling Jiang, Yongjing Wan
2024A Transformer-based Knowledge Graph Embedding Model Combining Graph Paths and Local Neighborhood.
Tong Zhu, Huobin Tan, Xinyu Chen, Yating Ren
2024A Two-Stage Enhancement Method for Object Detection on Low-Resolution Images.
Zijian Yuan, Mingyang Ling, Kan Chang, Mengyu Yin, Minghong Li, Boning Chen
2024A Two-Stage Neural Network Model for Automatic Detection of Skiffs from Satellite Imagery.
Tudor Ducaru, Stefan Stoica, Vlad Holban, Fayyaz Minhas
2024A Unified Brain Signal Decoder Based on Multi-Branch Architecture.
Jing-Lun Chou, Yih-Ning Huang, Chun-Shu Wei
2024A Viewpoint-aware Channel Selection Method for Vehicle Re-identification.
Yihao Xu, Youfang Lin, Shuai Han, Kai Lv
2024A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities.
J. Lopez-Martinez, Purificación Checa, José Manuel Soto-Hidalgo, Isaac Triguero, Alberto Fernández
2024A Word and Local Feature Aware Network for Chinese Spoken Language Understanding.
Na Xu, Yuwei Yin, Yulong Ding, Shuang-Hua Yang
2024A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems.
Cheng Feng
2024A connectivity gradient in structured reservoir computing predicts a hierarchy for mixed selectivity in human cortex.
Peter Ford Dominey
2024A deep learning framework based on U-shaped networks with multi-scale feature perception and attention for retinal vessel segmentation.
Zhangyu Gao, Yanmin Niu
2024A fast multi-level co-location pattern mining approach based on extended maximal cliques.
Jinjia Dai, Lijin Tang, Lizhen Wang, Lihua Zhou, Hongmei Chen
2024A model of motor timing volatility and its effect on force variability.
Atsushi Takagi, Hiroaki Gomi
2024A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction.
Xuanhan Fan, Menghui Zhou, Jun Qi, Yun Yang, Po Yang
2024A novel Reservoir Architecture for Periodic Time Series Prediction.
Zhongju Yuan, Geraint A. Wiggins, Dick Botteldooren
2024A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification.
Sergio Kazatzidis, Siamak Mehrkanoon
2024A tree regression algorithm based on incremental gradient boosting.
Hui Zhang, Weiwen Wu, Chunming Yang, Bo Li
2024A watermark-based framework to actively protect deep neural networks.
Yuling Luo, Yuanze Li, Shunsheng Zhang, Junxiu Liu, Sheng Qin
2024ABNT: Attention Binary Navigation Tree for Fine-Grained Visual Classification.
Boyu Ding, Xiaofeng Xu, Xianglin Bao, Nan Yan, Ruiheng Zhang
2024ADNet: A Neural Network for Accelerometer Signals Denoising.
Fengling Zheng, Wei Li, Chuntao Ding, Xiaohui Cui
2024AEGAN: A Novel Machine Learning Model to Attribute Network Community Detection.
Long Chen, Zhenyu Zhang, Xiaoming Li, Guangquan Xu
2024AI-augmented Framework to Enable Process Awareness in Collaborative Teams.
Minh Khoi Nguyen, Hanh Nhi Tran, Ileana Ober, Razan Abualsaud
2024AIFENet: Attention-Induced Feature Enhancement Network for Infrared Small Target Detection.
Ying Zheng, Xiuhong Li, Yuye Zhang, Kangwei Liu, Boyuan Li
2024AMRUNet: An Attention-Guided MultiResUNet for Continuous Noninvasive Blood Pressure Estimation.
Ruijie Zhao, Yu Lu, Leya Li, Huilin Ge, Xianghua Fu
2024APC: Predict Global Representation From Local Observation In Multi-Agent Reinforcement Learning.
Xiaoyang Li, Guohua Yang, Dawei Zhang, Jianhua Tao
2024APT: Adaptive Prefix-Tuning on Pretrained Models for Code Intelligence.
Yue Wu, Yaoxiang Yu, Zhengming Yuan, Siwei Huang, Bo Cai
2024ARS-Net:3D Multimodal Feature Recalibration Fusion Network for Brain Tumor Image Segmentation.
Jing Zhang, Wei Wu
2024ARVP: Adversarial Reprogramming Visual Prompts for Class-Incremental Learning.
Shuping Liu, Wei Li
2024ATCE: Adaptive Temporal Context Exploitation for Weakly-Supervised Temporal Action Localization.
Jiantao Yang, Sheng Liu, Yuan Feng, Xiaopeng Tian, Yineng Zhang, Songqi Pan
2024ATV3D: 3D Object Detection from Attention-based Three-view Representation.
Yu Han, Yaran Chen, Haoran Li, Yunzhen Zhao, Zhe Zhao, Pengfei Hu
2024AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation.
Zexin Li, Yiyang Lin, Zijie Fang, Shuyan Li, Xiu Li
2024Absorb What You Need: Accelerating Exploration via Valuable Knowledge Extraction.
You Wu, Zhe Wu, Renye Yan, Pin Tao, Junliang Xing
2024Accelerating Unbalanced Optimal Transport Problem Using Dynamic Penalty Updating.
Xun Su, Hiroyuki Kasai
2024Achieving Equalized Explainability Through Data Reconstruction.
Shuang Wang, Yongkai Wu
2024Achieving Fairness through Constrained Recourse.
Shuang Wang, Yongkai Wu
2024Active Learning for Graph Neural Networks Training in Catalyst Energy Prediction.
Yasufumi Sakai, Naoki Matsumura, Atsuki Inoue, Hiroshi Kawaguchi, Thang Dang, Atsushi Ishikawa, Árni Björn Höskuldsson, Egill Skúlason
2024AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration.
Haoxiao Wang, Bo Peng, Jianhua Zhang, Xu Cheng
2024Adaptable Weighted Voting Fusion for Multi-modality-based Action Recognition.
Lijuan Zhou, Xiang Meng, Chenglong Zhang, Changyong Niu
2024Adapting Contrastive Learning with Feature Fusion for Complex Question Answering.
Yongqing Diao, Yicheng Zhou, Honglian He, Xin Wang, Huayi Zhan, Junjie Lin, Yuxi Huang
2024Adapting Pre-trained Language Models to Vision-Language Tasksvia Dynamic Visual Prompting.
Shubin Huang, Qiong Wu, Yiyi Zhou
2024Adaptive Codomain Sampling for Accurate Surrogate Modeling.
Qian Huang, Jiahui Huang, Weinong Fu
2024Adaptive Distance-Aware Attention Models for Routing Problems.
Chao Zhang, Jinbiao Xing, Hui Wang, Kuangzheng Li, Weihao Jiang, Shiliang Pu
2024Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection.
Zhixin Lai, Xuesheng Zhang, Suiyao Chen
2024Adaptive Estimation of Multiple Fading Factors Based on RGAM Model.
Hongfu Xu, Haiyong Luo, Zijian Wu, Fang Zhao, Changhai Lin
2024Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification.
Jiajie Fang, Qian Qiao, Ziyin Zeng, Fanzhang Li
2024Adaptive Federated Learning for EEG Emotion Recognition.
Calvin Chan, Qingqing Zheng, Chengjian Xu, Qiong Wang, Pheng-Ann Heng
2024Adaptive Multi-Level Firing for Direct Training Deep Spiking Neural Networks.
Haosong Qi, Shuang Lian, Xu Li, Huajin Tang
2024Adaptive Skill Selection for Effective Exploration of Action Space.
Haoke Zhang, Yiyong Huang, Wei Han, Dan Xiong, Chuanfu Zhang, Yanjie Yang
2024Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis.
Zhongwei Huang, Jianqiang Li, Jiatao Yang, Ran Zhou, Jun Wan, Haitao Gan
2024Adaptive Spiking TD3+BC for Offline-to-Online Spiking Reinforcement Learning.
Xiangfei Yang, Jian Song, Xuetao Zhang, Donglin Wang
2024Adaptive robot control using modular reservoir computing to minimize multimodal errors.
Yuji Kawai, Hiroshi Atsuta, Minoru Asada
2024Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0.
Xin Song, Lixing Chen, Junhua Tang, Jianhua Li, Yang Bai, Wu Yang
2024Adding Explainability to Visual Clustering Tendency Assessment (VAT) Methods Through Feature Importance.
B. Srinath Achary, Rankit Kachroo, Punit Rathore
2024Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction.
Zixin Zhong, Liyan Song, Fengzhen Tang, Bo Yuan
2024Addressing Over-Squashing in GNNs with Graph Rewiring and Ordered Neurons.
Hao Li, Chen Li, Jianfei Zhang, Yuanxin Ouyang, Wenge Rong
2024Addressing Predicate Overlap in Scene Graph Generation with Semantics-prototype Learning.
Nanhao Liang, Yong Liu, Fan Wang, Yingwei Xia
2024Adiabatic replay for continual learning.
Alexander Krawczyk, Alexander Gepperth
2024Adj-MOT: Multi-object Tracking by ReID with Adjacent Frame Enhancement.
Tianyang Dong, Shuqian Lv, Guoqing Zhao, Wenyuan Ying, Chengkai Tong
2024Advanced Image Analysis in Offshore Drilling Surveillance via Edge-Cloud Framework Leveraging Deep Reinforcement Learning.
Xiaofeng Ji, Faming Gong, Nuanlai Wang, Chengze Du, Kaiwen Zheng
2024Advancing EEG-Based Emotion Recognition: Unleashing the Power of Graph Neural Networks for Dynamic and Topology-Aware Models.
Luigi Galluccio, Lorenzo D'Errico, Maurizio Giordano, Mariacarla Staffa
2024Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units.
Murat Isik, Newton Howard, Sols Miziev, Wiktoria Pawlak
2024Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation.
Marcus Rüb, Axel Sikora, Daniel Mueller-Gritschneder
2024Advancing Pandemic Preparedness through a Data-Driven Hybrid Simulation Model.
Shaon Bhatta Shuvo, Jyoti Das, Ziad Kobti, Narayan C. Kar
2024Advancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks.
Kamran Aziz, Donghong Ji, Bobo Li, Fei Li, Jun Zhou
2024Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies.
Aitor Martínez-Seras, Alain Andres, Javier Del Ser
2024Adversarial Attack and Defense for Transductive Support Vector Machine.
Li Liu, Haiyan Chen, Changchun Yin, Liming Fang
2024Adversarial Examples are Misaligned in Diffusion Model Manifolds.
Peter Lorenz, Ricard Durall, Janis Keuper
2024Adversarial Pairwise Multimodal Recommendation.
Mario Mallea, Ricardo Ñanculef, Denis Parra
2024Adversarial Training for Uncertainty Estimation in Cross-Lingual Text Classification.
Lina Xia, Askar Hamdulla, Mijit Ablimit, Sijie Wang
2024Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning.
Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
2024AeneasHDC: An Automatic Framework for Deploying Hyperdimensional Computing Models on FPGAs.
Marco Angioli, Saeid Jamili, Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Antonello Rosato, Mauro Olivieri
2024Aerial-Guided Groupwise CRFs for Multiple Panorama Depth Estimation with Scale-Consistent.
Yang Xu, Jun Ma, Chenggang Yan
2024Affinity-Weighted RandAugment for Problem-Oriented Augmentation.
Yuna Park, Tomoumi Takase, Keisuke Kameyama, Masaki Onishi
2024Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression.
Zihao Zhang, Han Su, Rong Hou, Pengcheng Wu, Ping Xu, Peng Chen
2024Aggregation-Assisted Proxyless Distillation: A Novel Approach for Handling System Heterogeneity in Federated Learning.
Nirbhay Sharma, Mayank Raj, Deepak Mishra
2024Algorithm Topological Structure Search Based on Optimization of Mathematical Operation-Level Continuous Differentiable Search Framework.
Ludi Wang, Qinghai Gong, Zhaolei Wang, Jiarun Liu, Lin Ping
2024Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics.
Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li
2024An AI-Driven Bionic Whisker System Assisting for Clinical Gastrointestinal Disease Screening.
Zeyu Wang, Frank P.-W. Lo, Junhong Chen, James Calo, Benny P. L. Lo, Alex J. Thompson, Eric M. Yeatman
2024An Accurate And Lightweight Intrusion Detection Model Deployed on Edge Network Devices.
Yu Ao, Jun Tao, Dikai Zou, Weice Sun, Linxiao Yu
2024An Active Learning Framework for Continuous Rapid Rumor Detection in Evolving Social Media.
Zhejie Shao, Guoyong Cai, Qinghua Liu, Yunxian Shang
2024An Adaptive Hoeffding Tree Model Based on Differential Entropy and Relative Entropy for Concept Drift Detection.
Wenzheng Liu, Xiang Li, Yongtong Gu, Jin Li, Xiaoyong Tang, Ronghui Cao, Tan Deng, Xiaofeng Wang
2024An Adaptive Spatio-Temporal Graph Structure Learning Model for Lithium-Ion Battery Pack State of Health Estimation.
Canxing Lai, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang
2024An Approach Using BRKGA for Optimizing Convolutional Neural Network Architectures.
Andersson A. Da Silva, Ricardo M. A. Silva
2024An Arc Light Elimination Network Using Polarization and Prior Information.
Wenhao Yu, Lizhe Qi, Hanwen Liang, Yunquan Sun
2024An Attention Mechanism Neural Network for Spatiotemporal Network Traffic Data Completion.
Weikang Xiao, Yi Xie
2024An Effective Adaptive Ensemble Survival Model for Risk Prediction.
Yu-Hsuan Wu, Ching-Chih Lee, Cheng-Hsin Chuang, Chun-Wei Tsai
2024An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation.
Chengzhang Zhu, Renmao Zhang, Yalong Xiao, Beiji Zou, Xian Chai, Zhangzheng Yang, Lan Hua, Xuanchu Duan
2024An Efficient Sparse Blocks Inference Method for Image Editing Based on Diffusion Models.
Zhuochao Yang, Jingjing Liu, Aiying Guo, Jianhua Zhang
2024An Efficient Spatial Modeling Conv-ViT using Mask Supervision for 3D Medical Image Segmentation.
Jiaxing Tian, Bingcai Chen, Qianyu Li, Ruolan Liu, Yuanchao Feng
2024An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition.
Yulin Ye, Tianxiang Cui, Shisheng Guo, Guolong Cui
2024An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty.
Lipeng Chen, Daixi Jia, Sheng Yang, Fengge Wu, Junsuo Zhao
2024An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks.
Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan
2024An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS.
Danial Zendehdel, Antonino Capillo, Enrico De Santis, Antonello Rizzi
2024An Hybrid Clustering and BERT Model for Chinese Threads in Social Media.
Yu-Hsuan Wu, Jheng-Long Wu
2024An Imperceptible and Robust Audio Watermarking Algorithm Based on SNGAN.
Weili Zhou, Jiabei Zhou, Shuangyuan Yang
2024An Implicit Relationship Extraction Model Based on Improved Attention and Gated Decoding for Intent Recognition and Slot Filling.
Shuo Ge, Rongheng Lin, Hua Zou
2024An Improved Remote Sensing Object Detection Model Based on YOLOv8s.
Shuilin Gong, Xiang Li
2024An Improved Spray and Wait Algorithm Based on Q-learning in Delay Tolerant Network.
Lei Yao, Xiangyu Bai, Kexin Zhou
2024An Improved-knowledge-distillation Based Method for Working Condition Recognition of Hot Rolling Heating Furnace in Steel Industry.
Xiang Long Meng, Feng Jin, Jun Zhao, Wei Wang
2024An Industrial Short Text Classification Method Based on Large Language Model and Knowledge Base.
Haoran Yin
2024An Instance-Level Motion-Aware Graph Model for Multi-target Multi-camera Tracking.
Xiaotong Fan, Huicheng Zheng
2024An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.
Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao
2024An Open-source Cross-Industry and Cloud-agnostic Generative AI Platform.
Abbas Raza Ali, Kei Kumar, Muhammad Ajmal Siddiqui, Moona Zahid
2024An end-to-end algorithm for predicting missing load data based on waveGAIN.
Jiang Zhang, Gang Zhou, Yuwei Feng, Sen Yang, Wanlin Wang, Jiaqing Mo
2024An event-driven mixed analog/digital spiking neural network circuit model for hippocampal spatiotemporal context learning and memory.
Takeru Tsuji, Takemori Orima, Yoshihiko Horio
2024An improved Potential Function Based on Target Position for Underwater Vehicles Collision Avoidance.
Qihe Shan, Haoran Zhao, Shuo Li, Tieshan Li, Yi Zuo
2024Analog Dopplegangers: Twinning with Deep Continuous-Time Recurrent Neural Networks.
John C. Gallagher, Eric T. Matson
2024Analysis of Bias in GPT Language Models through Fine-tuning Containing Divergent Data.
Leandro Furlam Turi, Athus Cavalini, Giovanni Comarela, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza
2024Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions.
Masataka Adachi, Sou Nobukawa, Keiichiro Inagaki
2024Analysis of Learning Process of Synaptic Weights in Spatio-temporal Learning Networks for Hardware Implementation.
Takemori Orima, Yoshihiko Horio, Takeru Tsuji
2024Analysis of Motor Imagery EEG Signals Based on Multi-Modal Spatio-Temporal Contrastive Learning.
Qiaoli Zhou, Yongqiang Shi, Xiyuan Ye
2024Analysis of Search Space Design for Neural Architecture Search with Weight Sharing.
Youhei Akimoto, Shinichi Shirakawa
2024Analyzing the Creative Potential of Subjects Using EEG-Induced Capsule Graph Neural Network.
Sayantani Ghosh, Amit Konar, Atulya K. Nagar
2024Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation.
Ajay Krishna Vajjala, Arun Krishna Vajjala, Ziwei Zhu, David S. Rosenblum
2024Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization.
Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
2024Anchor Query based Transformer for Lane Detection.
Yu Xing, Jinhua Xu
2024Anchor Your Embeddings Through the Storm: Mitigating Instance-to-Document Semantic Gap.
Ramiro N. Barros, Kristen K. Arguello, Jonatas Wehrmann
2024Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder.
Yehong Tong, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang
2024Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance.
Tianyu Liu, Ruixin Yan, Irwin King
2024Anti-AsynDGAN: Black-box Membership Inference Attacks Against Medical Distributed Generation Models.
Yue Chen, Shuchao Pang, Rui Zhang
2024App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering.
Qiuhan Zheng, Dongjin Yu, Dongjing Wang, Wangliang Yan, Yaolin Fu
2024AppFineGraph: Hierarchical Mobile Encrypted Traffic Classification at Multi-Granularities via a Branch Graph Neural Network.
Shengbao Li, Zhuohang Lv, Tianning Zang, Lanqi Yang, Qian Qiang
2024Applying Logical Rules to Reinforcement Learning for Interpretable Knowledge Graph Reasoning.
Youming Liu, Yujing Lai, Chuan Chen
2024ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers.
Michal Pinos, Lukás Sekanina, Vojtech Mrazek
2024Aquaformer: Underwater Image Enhancement via Adaptive Transformer.
Harsh Bhandari, Sarbani Palit
2024Are Bounded Support Vectors Harmful to Stable Classification.
Shigeo Abe
2024Aspect-based Sentiment Analysis via Knowledge Enhancement.
Yupeng Li, Zilu Su, Ke Chen, Kexin Jiang
2024Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing.
Nathan McDonald, Anthony Dematteo
2024Assessor Models for Explaining Instance Hardness in Classification Problems.
Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano
2024Atrial Fibrillation Detector from ECG on Wearable Edge Devices using Spiking Neural Networks.
Dighanchal Banerjee, Sounak Dey, Arpan Pal
2024Attack Behavior Extraction Based on Heterogeneous Threat Intelligence Graphs and Data Augmentation.
Jingwen Li, Ru Zhang, Jianyi Liu
2024Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data.
Zhang Zhang, Xiaoyong Zhang, Taihei Mizuno, Kei Ichiji, Noriyasu Homma
2024Attention-Based Deep Neural Network for Point Cloud Learning.
Tianlei Wang, Keyu Chen, Ma Luo, Hong Qu
2024Attention-Based Difficulty Feature Enhancement for Knowledge Tracing.
Xinhua Wang, Hao Lu, Liancheng Xu, Lei Guo, Xiaohui Zhao
2024Attention-Based Medical Knowledge Injection in Deep Image Classification Models.
Yaning Wu, Nathalie Japkowicz, Sébastien Gilbert, Roberto Corizzo
2024Attentional Feature Fusion for Few-Shot Learning.
Muhammad Rehman Zafar, Naimul Khan
2024Attn-VAE-GAN:Text-Driven High-Fidelity Image Generation Model with Deep Fusion of Self-Attention and Variational Autoencoder.
Chen Yang
2024Attribute-Enhanced Hypergraph Neural Networks for Session-based Recommendation.
Xiaobing Li, Yan Tang, Caijie Guo, Peihao Ding
2024Augmenting Reservoirs with Higher Order Terms for Resource Efficient Learning.
Bedirhan Çelebi, Minoru Asada, Erhan Öztop
2024Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms.
Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klüttermann, Emmanuel Müller
2024Autoencoder Reconstruction Model for Long-Horizon Exploration.
Renye Yan, You Wu, Yaozhong Gan, Yunfan Yang, Zhaoke Yu, Zongxi Liu, Xin Zhang, Ling Liang, Yimao Cai
2024Automated Measurement of Brainstem-Vermis and Brainstem-Tentorium Angles in Fetal MRI Images Based on Landmark Detection.
Xiaosong Wei, Lei Zhang, Wei Huang, Jiayan She, Jiaxi Wang, Gang Ning
2024Automated Patient-Specific C1-C2 Posterior Cervical Fusion Screw Trajectory Planning using 3D Deep Learning.
Yau-Zen Chang, Sanny Kumar Sahani, Chieh-Tsai Wu
2024Automatic Epidermis Segmentation in Fluorescence Images Based on a U-Shaped Network Model.
Herng-Hua Chang, Yu-Xuan Chou, Chi-Chao Chao, Sung-Tsang Hsieh
2024Automatic Job Safety Report Generation using RAG-based LLMs.
Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2024Automatic Segmentation of Organs-At-Risk and Clinical Target Volume for Cervical Cancer Using Manifold Learning.
Chenyu Zuo, Runhong Lei, Xi Liu, Kai Niu, Zhiqiang He, Ruijie Yang
2024Autonomous Navigation of Agricultural Robots Utilizing Path Points and Deep Reinforcement Learning.
Jipeng Kang, Zhibin Zhang, Yajie Liang, Xu Chen
2024Autonomous Perceptual Categorization for Robotic Lifelong Learning in Dynamic Domains.
Sergio Martínez Alonso, Alejandro Romero, José Antonio Becerra, Richard J. Duro
2024AwmFace: Adaptive Weighting Margin for Deep Face Recognition.
Xiangsong Jia, Xinkun Wu, Xiaobo Zhang, Xiaole Zhao
2024BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading.
Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2024BDP: Bipartite Graph Adversarial Defense Algorithm Based on Graph Purification.
Bowen Deng, Lin Feng, Siwen Li, Shuo Qin, Fancheng Yang
2024BERT-FKGC: Text-Enhanced Few-Shot Representation Learning for Knowledge Graphs.
Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng
2024BNS-Net: A Dual-Channel Sarcasm Detection Method Considering Behavior-Level and Sentence-Level Conflicts.
Liming Zhou, Xiaowei Xu, Xiaodong Wang
2024BP-STFNet: A Hybrid Time-Frequency Domain Neural Network for Blood Pressure Estimation from Multi-channel BCG Signals.
Kaige Huai, Zhicheng Zhou, Hong Sun, Xianchao Zhang
2024BRG: Bidirectional Regularization Guidance for Unsupervised Domain Adaptation Semantic Segmentation.
Chaoyu Rao, Wanshu Fan, Xing Yang, Xiaopeng Wei, Dongsheng Zhou
2024BSSIC: Stereo Image Compression Based on Block Shift.
Ya Qiao, Yongqi Zhai, Ronggang Wang
2024Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization.
Jianfei Xiao, Yancan Chen, Yimin Ou, Hanyi Yu, Kai Shu, Yiyong Xiao
2024Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression.
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera
2024Bayesian Likelihood Free Inference using Mixtures of Experts.
Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes
2024Benchmark for Detecting Child Pornography in Open Domain Dialogues Using Large Language Models.
Jia Yu, Zhiwei Huang, Lichao Zhang, Yu Lu, Yuming Yan, Zhenyang Xiao, Zhenzhong Lan
2024Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection.
Lucas Stampe, Janina Lütke Stockdiek, Britta Grimme, Christian Grimme
2024Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments.
Yunpeng Gong, Yongjie Hou, Chuangliang Zhang, Min Jiang
2024Beyond Binary Classification: Customizable Text Watermark on Large Language Models.
Zhenyu Xu, Ruoyu Xu, Victor S. Sheng
2024Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking.
Yunpeng Gong, Chuangliang Zhang, Yongjie Hou, Lifei Chen, Min Jiang
2024Beyond Single: Multidimensional Evaluation of Sentence Embeddings in PLMs.
Bo Huang, Cui Chen, Xin Liu, Zuping Zhang
2024Bidirectional Variational Autoencoders.
Bart Kosko, Olaoluwa Adigun
2024Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation.
Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu
2024Binocular Disparity Unveils the Mechanisms of Stereo Feature Selectivity: Orientation and Motion.
Bin Li, Yuki Todo, Zheng Tang, Cheng Tang
2024Bio-DETR: A Transformer-based Network for Pest and Seed Detection with Hyperspectral Images.
Yang Di, Son Lam Phung, Julian Van Den Berg, Jason Clissold, Ly Bui, Hoang Thanh Le, Abdesselam Bouzerdoum
2024Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.
Tu T. Do, Anh M. Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael Riegler, Binh T. Nguyen
2024Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets.
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024BonCC:A Lightweight TW3-based Bone Age Assessment Coordinate Classification Model.
Jingda Xiao, Yulin Huang, Jianxiong Guan, Shaoxian Ma, Dongxu Zhang
2024Boosting Semi-Supervised Specific Emitter Identification with Curriculum Triple Consistency Regularization.
Qingyun Xu, Lixiang Liu, Xin Zhou
2024Boosting Transferability of Decision-based Sampling Batch Attack Using Skeleton Feature.
Shengbo Chen, Shuai Wang
2024Boosting fairness for 3D face reconstruction.
Zeyu Cui, Jun Yu
2024Boosting the Transferability of Adversarial Examples via Adaptive Attention and Gradient Purification Methods.
Liwen Wu, Lei Zhao, Bin Pu, Yi Zhao, Xin Jin, Shaowen Yao
2024Bottom-Up Hierarchical Propagation Networks with Heterogeneous Graph Modeling for Video Question Answering.
Jinsheng Qi, Yuanxing Xu, Bin Wu
2024Boundary-Guided Fusion of Multi-Level Features Network for Camouflaged Object Detection.
Songlin Li, Zhe Li, Boyuan Li, Xiuhong Li, Jiabao Sheng
2024Bridge the Query and Document: Contrastive Learning for Generative Document Retrieval.
Yunlong Zhao, Ziyi Ni, Zefa Hu, Shuang Xu, Bo Xu
2024Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality.
Kyotaro Tokoro, Kazutoshi Akita, Norimichi Ukita
2024ByteZip: Efficient Lossless Compression for Structured Byte Streams Using DNNs.
Parvathy Ramakrishnan P, Satyajit Das
2024CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.
Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition.
Yuxin Liu, Jinyan Chen, Zheyan Gao, Shitian Li
2024CASTNet: Cycle-Consistent Attention-based Network for Decoding Open/Close Hand Movement Attempts using EEG.
Han Wei Ng, Kavitha P. Thomas, Neethu Robinson, Aung Aung Phyo Wai, Leran Jenny Liang, Nishka Khendry, Aarthy Nagarajan, Cuntai Guan
2024CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems.
Yang Wang, Ke Lei, Chong Zhang, Xin Wang, Xin Shi, Aihua Deng
2024CCFN: Depression Detection via Multimodal Fusion with Complex-valued Capsule Network.
Jierui Lei, Qingyi Yang, Bo Li, Wenjian Zhang
2024CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions.
Haoqin Hong, Yue Zhou, Xiangyu Shu, Xiaofang Hu
2024CDM: Text-Driven Image Editing with Composable Diffusion Models.
Na Ye, Yuan Sun
2024CEC-YOLO: An Improved Steel Defect Detection Algorithm Based on YOLOv5.
Zhuo Chen, Yuli Wang, Qiliang Gu
2024CHDNet: Enhanced Arbitrary Style Transfer via Condition Harmony DiffusionNet.
Wenkai He, Jianhui Zhao, Ying Fang
2024CIS-Net: An End-to-end Chromosome Instance Segmentation Method Based on Disturbance Features Deactivation and Strengthened Disparity.
Yulin Tan, Xing Wu, Chengliang Wang, Zailin Yang, Longrong Ran, Yao Liu
2024CLCT-GAN: Strong-Weak Contrastive Learning for Reconstructing CT Images from Radiographs.
Shuangqin Cheng, Yumao Hong, Qingliang Chen, Jinshun Guo, Ming Li, Qiyi Zhang
2024CLGNN: UAV Fault Diagnosis via Causal Learning and Graph Neural Network.
Jun Yao, Weiwei Li, Zhuoran Zheng, Xiuyi Jia
2024CLIP-Driven Low-Cost Image Captioning.
Yiyu Wang, Jungang Xu, Yingfei Sun
2024CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization.
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
2024CLIP-based Semantic Enhancement and Vocabulary Expansion for Video Captioning Using Reinforcement Learning.
Lihuan Zheng, Ping Guo, Zhenjiao Miao, Wanru Xu
2024CMBE: Curiosity-driven Model-Based Exploration for Multi-Agent Reinforcement Learning in Sparse Reward Settings.
Kai Yang, Zhirui Fang, Xiu Li, Jian Tao
2024CMMQC: Cascaded Multi-Model Quality Control for Unsupervised Data-to-Text Generation.
Weitian Zhang, Xu Sun, Yangxing Luo, Wei Gao, Yanchun Zhu
2024CMOS digital-analog mixed signal VLSI implementation of a hippocampus-inspired model.
Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie
2024CNN-Transformer Ensemble: Advancing Visual Piano Transcription with Global and Local Features.
Yuqing Li, Ying Zhang, Xianke Wang, Ruimin Wu, Wei Xu
2024COFormer: Co-optimisation Transformer of Multilayer Perceptron and Dilated Causal Convolution for Long Sequence Time Series Forecasting.
Jinghong Yang, Qing Yu
2024COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation.
Pascal Schlachter, Bin Yang
2024COREX: Document-level Relation Extraction Framework with Consistent Two-Hop Reasoning and Evidence Sentence Prediction.
Silan Zhao, Chunping Li
2024CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping.
Shuangjie Yuan, Dong Ouyang, Lu Yang, Tieshan Li
2024CPLCS: Contrastive Prompt Learning-based Code Search with Cross-modal Interaction Mechanism.
Yubo Zhang, Yanfang Liu, Xinxin Fan, Yunfeng Lu
2024CRDA: Content Risk Drift Assessment of Large Language Models through Adversarial Multi-Agent Interaction.
Zongzhen Liu, Guoyi Li, Bingkang Shi, Xiaodan Zhang, Jingguo Ge, Yulei Wu, Honglei Lyu
2024CRTGAN: Controllable Road Network Graphs Generation via Transformer based GAN.
Tao Li, Ruihang Li, Shanding Ye, Zehua Zhang, Zhe Yin, Shijian Li, Zhijie Pan
2024CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection.
Sikai Wu, Fukun Yin, Hancheng Ye, Tao Chen
2024CSIA-GCN: A Doctor Recommendation Model Based on Interactive Graph Convolutional Networks.
Yingjie Zhang, Jianxia Chen, Zhou Zou, Meihan Yao, Shuxi Zhang, Liang Xiao
2024CTF-ERC: Coarse-to-Fine Reasoning for Emotion Recognition in Conversations.
Feifei Xu, Tao Sun, Wang Zhou, Ziheng Yu, Jiahao Lu
2024CTGGAN: Reliable Fetal Heart Rate Signal Generation Using GANs.
Zichang Yu, Yating Hu, Yu Lu, Leya Li, Huilin Ge, Xianghua Fu
2024CTUnet: A Novel Paradigm Integrating CNNs and Transformers for Medical Image Segmentation.
Xiaoyu Wang, Chunlin Zhu, Jiaquan Li
2024Camouflaged Object Detection using Multi-Level Feature Cross-Fusion.
Tianchi Qiu, Xiuhong Li, Songlin Li, Chenyu Zhou, Kangwei Liu
2024CampusFall: A Multi-Perspective Indoor and Outdoor Fall Detection Dataset Based on Campus Surveillance.
Mansu Gu, Yiran Wang, Jing Bai, Zheng Chen, Jiao Shi
2024Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking.
Wenshu Ge, Huan Ma, Changqing Zhang
2024Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci
2024Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks?
Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
2024Can We Build a Generative Model without Back Propagation Training?
Ke Wang, Ziqi Zhao, Binghong Liu, Ping Guo, Yazhou Hu
2024Can an Image Tell the Tale: Looking Beyond the Haze to Determine PM2.5 Concentration.
Sagarnil Chakraborty, Sarbani Palit, Harsh Bhandari
2024Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning.
Yiran Li, Nanjiang Du, Xingke Song, Xiaoying Yang, Tianxiang Cui, Ning Xue, Amin Farjudian, Jianfeng Ren, Wooi Ping Cheah
2024Cascaded Encoder-Decoder Reconstruction Network with Gated Mechanism for Multimodal Emotion Recognition under Missing Modalities.
Linghui Sun, Xudong Li, Jingzhi Zhang, Chengjie Bai, Jie Pan
2024Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks.
Karuna Bhaila, Xintao Wu
2024Causal Feature Selection via Transfer Entropy.
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024Causal Feature-Enhanced Collaborative Filtering Algorithm.
Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo
2024Causal Graph Representation Learning for Outcome-Oriented Link Prediction.
Langjunqing Jin, Feng Zhao, Cheng Yan, Xiangyu Gui
2024Causal Inference in Deep Learning Forecasting: A Bayesian Approach to Analyzing the Relationship between Employment Rate and Immigration.
Kenneth Lai, Gregor Wolbring, Svetlana N. Yanushkevich
2024Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering.
Lu Liu, Yang Tang, Kexuan Zhang, Qiyu Sun
2024Chain-of-Program Prompting with Open-Source Large Language Models for Text-to-SQL.
Bo Xu, Shufei Li, Yifei Wu, Shouang Wei, Ming Du, Hongya Wang, Hui Song
2024Chaotic Time Series Prediction in Biological Neural Network Reservoirs on Microelectrode Arrays.
Trym A. E. Lindell, Ola Huse Ramstad, Ioanna Sandvig, Axel Sandvig, Stefano Nichele
2024Character Relationship Refinement Network for Handwritten Mathematical Expression Recognition.
Liwei Jiang, Nanfeng Jiang, Yun Wu, Da-Han Wang, Xuyao Zhang, Shunzhi Zhu
2024Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection.
Yaming Yang, Zhuo Li, Pingping Lin, Juanyong Duan, Hao Zhang, Tianmeng Yang, Congrui Huang, Zhengjie Lin, Yunhai Tong, Yujing Wang
2024ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning.
Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang
2024ChemAlgebra: Algebraic Reasoning on Chemical Reactions.
Andrea Valenti, Davide Bacciu, Antonio Vergari
2024Chrono Clustering: A Novel Methodology for Dynamic Topic Trend Analysis.
Qiaomu Li, Ying Xie, Shaoen Wu
2024Clarified Aggregation and Predictive Modeling (CAPM): High-Interpretability Framework for Inductive Link Prediction.
Mengxi Xiao, Ben Liu, Miao Peng, Wenjie Xu, Min Peng
2024Class Incremental Aerial Scene Recognition Under Long-Tailed Distribution.
Gang Yang, Haizhou Ding, Xiaotong Tu, Lexing Huang, Yue Huang, Xinghao Ding
2024Class-aware Patch Based Contrastive Learning for Medical Image Segmentation.
Shaozhi Wu, Han Li, Xingang Liu, Dan Tian, Han Su
2024Classification of Inkjet Printers based on Droplet Statistics.
Patrick Takenaka, Manuel Eberhardinger, Daniel Grießhaber, Johannes Maucher
2024Classification of Schizophrenia EEG recording using homological features.
Simone Poetto, Wlodzislaw Duch
2024Classroom Action Recognition Based on Graph Convolutional Neural Networks and Contrast Learning.
Yuting Zhou, Shuang Peng, Xinxu Li, Qiancheng Cao, Li Tao
2024Classroom Behavior Recognition Model for Elementary and Middle School Students Based on Improved YOLOPose and Feature Fusion.
Zhuang Wang, Zhurong Zhou, Yi Chen, Tianci Zheng, Youlin He
2024ClearKD: Clear Knowledge Distillation for Medical Image Classification.
Xinlei Huang, Ning Jiang, Jialiang Tang
2024Closed-Loop Action Repetition for Computationally-Efficient Imitation Learning.
Yuchen Liang
2024Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.
Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung
2024Clustering-based Augmentation for Effective Self-supervised Learning in Sleep Staging.
Pavel Tsoi, Young-Seok Kweon, Seong-Whan Lee
2024Clustering-based Evaluation Framework of Feature Extraction Approaches for ECG Biometric Authentication.
Bonan Zhang, Chao Chen, Ickjai Lee, Kyungmi Lee, Kok-Leong Ong
2024Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction.
Hui Song, Zheng Miao, Ali Babalhavaeji, Saman Mehrnia, Mahdi Jalili, Xinghuo Yu
2024Coarse-to-Fine Recurrently Aligned Transformer with Balance Tokens for Video Moment Retrieval and Highlight Detection.
Yi Pan, Yujia Zhang, Hui Chang, Shiying Sun, Feihu Zhou, Xiaoguang Zhao
2024Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization.
Manuel Weber, Farzan Banihashemi, Davor Stjelja, Peter Mandl, Ruben Mayer, Hans-Arno Jacobsen
2024Cognitive Modeling Based on Perceiving-Acting Cycle in Unilateral Spatial Neglect.
Takenori Obo, Takuro Sekiguchi, Tadamitsu Matsuda, Naoyuki Kubota
2024Cohesive Explanation for Time Series Prediction.
Bin Li, Emmanuel Müller
2024Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation.
Bo Tao, Huimin Chen, Huazheng Pan, Yanhao Wang, Zhiyun Chen
2024Collaborative Multi-Task Representation for Natural Language Understanding.
Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang
2024Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems.
Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu
2024Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks.
Mingle Zhou, Rui Xing, Min Li, Delong Han, Gang Li
2024Combining Pruning Strategies to Generate Efficient Inpainting Networks.
Walber M. Rodrigues, Felipe N. Walmsley, Jonysberg P. Quintino, Helder de Sousa Pinho, George D. C. Cavalcanti
2024Common Extraction and Distribution Guided for Weakly Supervised RGB-IR Vehicle Detection.
Zhilong Cui, Chongyang Zhang
2024Community-aware graph debiased contrastive representation learning.
Peng Wu, Hong Zhang, Miao Wang, Liqiang Wang, Meng Wang, Mingyang Lv
2024Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning.
Stavros Sykiotis, Sotirios Athanasoulias, Nikolaos Temenos, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis
2024Comparative Evaluation of Continual Learning Methods in Financial and Industrial Time-Series Data.
Reshawn Ramjattan, Daniele Atzeni, Daniele Mazzei
2024Comparing Connectivity-To-Reservoir Conversion Methods for Connectome-Based Reservoir Computing.
Ryo Nishimura, Makoto Fukushima
2024Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement.
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan
2024Comprehensive Criterion-Guided Variable Memory Bank for Semi-Supervised Object Detection.
Yaokun Yang, Ziyuan Yang, Peng Wang, Yi Zhang
2024Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data.
Yuchang Zhu, Nanfeng Xiao
2024Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension.
Efstratios Palias, Ata Kabán
2024Computational Creativity by Generative Adversial Network with Leaked Information.
Sayantani Ghosh, Amit Konar, Atulya K. Nagar
2024Computational Effects of Free-Flowing Ion Concentrations in Spiking Neural Networks.
Rafael Afonso Rodrigues, Simon O'Keefe
2024Computational Efficiency Assessment of Using Artificial Neural Networks in Structural Multiscale Finite Element Analysis.
Waldemar Mucha, Waclaw Kus, Iyasu Tafese Jiregna
2024Computationally Efficient Imitation Learning via K-Timestep Adaptive Action Approximation.
Yuchen Liang, Weiming Wu, Cong Wang, Yuehu Liu
2024ConTuner: Singing Voice Beautifying with Pitch and Expressiveness Condition.
Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao
2024Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet.
Loris Giulivi, Giacomo Boracchi
2024Confidence-Driven Semi-Supervised Partial Label Learning.
Chengkun Liu, Jun Zhang, Jing Chai
2024Confidence-guided Source Label Refinement and Class-aware Pseudo-Label Thresholding for Domain-Adaptive Semantic Segmentation.
Hongwei Chu, Meng Shen, Jiawen Peng, Andy J. Ma
2024Confidence-oriented Contrastive Graph Clustering.
Yan-Di Huang, Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang
2024Conservative In-Distribution Q-Learning for Offline Reinforcement Learning.
Zhengdao Shao, Liansheng Zhuang, Jie Yan, Liting Chen
2024Consolidated Adaptive T-soft Update for Deep Reinforcement Learning.
Taisuke Kobayashi
2024Contemporary Advances in Neural Network Quantization: A Survey.
Min Li, Zihao Huang, Lin Chen, Junxing Ren, Miao Jiang, Fengfa Li, Jitao Fu, Chenghua Gao
2024Context Embedding Similarity based Semi-Supervised Active Learning for Time Series.
Xianwei Zhou, Yifan Lin, Songsen Yu, Shiqi Wu, Wencong Zhang, Chulue Zhang
2024Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing.
Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha
2024Continual Learning for Temporal-Sensitive Question Answering.
Wanqi Yang, Yunqiu Xu, Yanda Li, Kunze Wang, Binbin Huang, Ling Chen
2024Continuous Attention Mechanism Based SFC Placement in NFV-enabled Mobile Edge Cloud for IoT Applications.
Xi Xu, Yang Yang, Wei Huang, Cheng Zhan, Fei Wang, Songtao Guo
2024Continuous Geodesic Self-Attention Models with Gated Fusion for Trajectory Prediction.
Kexin Ke, Zhengyu Li, Huining Chen, Hao Wang, Xian Wei, Jian Yang, Xuan Tang
2024Continuous Target Speech Extraction: Enhancing Personalized Diarization and Extraction on Complex Recordings.
He Zhao, Hangting Chen, Jianwei Yu, Yuehai Wang
2024Contrastive Learning for Extracting Transferable User Profiles in Cross-Domain Recommendation System.
Qingquan Zhao, Qi Wang
2024Contrastive Meta Learning for Soft Prompts Using Dynamic Mixup.
Jen-Tzung Chien, Hsin-Ti Wang, Ching-Hsien Lee
2024Contrastive Sensor Excitation for Generalizable Cross-Person Activity Recognition.
Ziyi Tan, Sitong Fang, Haoran Zhu, Chi Yang
2024Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer's disease.
Sihui Ge, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ji Wang
2024Controllable style transfer of ink painting textures via contrastive learning.
Yan Cao, Yi Zhang, Kaijun Wu, Yingjie Lin
2024Controlling the Estimation Bias of Deep Deterministic Policy Gradient by Screening for Preferential Critics.
Yunpeng Lyu, Lin Li, Wei Wei, Yujia Zhang
2024Convolution-Enhanced Transformer with Frequency Domain Contrastive Learning for Image Deraining.
Cheng Wang, Wei Li
2024Cooperative Autonomous Driving Control among Vehicles of Different Sizes Using Deep Reinforcement Learning.
Akito Takenaka, Tomohiro Harada, Yukiya Miura, Kiyohiko Hattori, Johei Matuoka
2024Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer's Disease.
Xiaolu Lin, Pinya Lu, Jie Pan, Hongqin Yang, Xuemei Ding
2024CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting.
Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
2024Correcting Factuality Hallucination in Complaint Large Language Model via Entity-Augmented.
Jiaju Kang, Weichao Pan, Tian Zhang, Ziming Wang, Shuqin Yang, Zhiqin Wang, Jian Wang, Xiaofei Niu
2024Correlated Equilibrium based Online Real-time Distributed Dynamic Task Scheduler for Multi-agent Systems.
Lokesh Kumar, Arup Kumar Sadhu, Ranjan Dasgupta
2024Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones.
Giorgio Morales, John W. Sheppard
2024Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating.
Daisuke Takahashi, Shohei Shimizu, Takuma Tanaka
2024Cross Auto-Encoder for Inscription Character Inpainting.
Long Zhao, Zonglong Yuan, Yuhao Lou
2024Cross Layer Weakly Supervised Data Augmentation Network for Offline Signature Verification.
Yongliang Zhang, Jiahang Wang, Zipeng Chen, Ziwen Li
2024Cross-Aggregation Based Information Re-Enhancement for Recommendation.
Fangfei Li, Zenghao Chen
2024Cross-Document Fact Verification Based on Evidential Graph Attention Network.
Xiaoman Xu, Zhong Qian, Chenwei Liu, Xiaoxu Zhu, Peifeng Li
2024Cross-Domain Activity Recognition Based on Stacked Transfer Network.
Junhuai Li, Jingyi Cao, Yuxing Zhi, Huaijun Wang, Ting Cao, Rong Fei
2024Cross-Domain Human Activity Recognition via Transfer Learning.
Yong Zhou, Yilin Dong
2024Cross-Frame Integrated Prediction for Feature-Space Video Compression.
Hongxin Qiu, Zhidao Zhou, Kai Lu, Fan Liang
2024Cross-Modal Motor Representation Learning.
Tian-Yu Xiang, Xiao-Hu Zhou, Xiao-Liang Xie, Shiqi Liu, Mei-Jiang Gui, Hao Li, De-Xing Huang, Zeng-Guang Hou
2024Cross-Modal Semantic Embedding Hashing for Unsupervised Retrieval.
Zhibin Zhang, Yun-Fei Chen
2024Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation.
Huiqing Su, Wenqin Huang, Qingmin Liao, Zongqing Lu
2024Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift.
Qingyuan Zeng, Yunpeng Gong, Min Jiang
2024Cross-modal retrieval based on Attention Embedded Variational Auto-Encoder.
Kaili Zhou, Yiyun Xing, Yushui Geng, Jing Zhao
2024Crowd Counting in Large Surveillance Areas by Fusing Audio and WiFi Sniffing Data.
Rui Guo, Baoqi Huang, Lifei Hao, Bing Jia
2024Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning.
Bingqing Liu
2024CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots.
Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique
2024CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network.
Zixu Wang, Yangyang Chen, Xiucai Ye, Tetsuya Sakurai
2024D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack.
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen, Nhien-An Le-Khac
2024D-Man: a Distance-based Multi-channel Attention Network for ERC.
Fefei Xu, Guangzhen Li, Zheng Zhong, Yingchen Zhou, Wang Zhou
2024D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction.
Li Jiang, Jiaqi Cui, Yuanyuan Xu, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen
2024DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization.
Chengxin Zhao, Hefei Ling, Sijing Xie, Nan Sun, Zongyi Li, Yuxuan Shi, Jiazhong Chen
2024DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation.
Fuyun He, Haixing Song, Guanglian Li, Junyu Zhang
2024DCFL: Non-IID Awareness Dataset Condensation Aided Federated Learning.
Xingwang Wang, Shaohan Sha, Yafeng Sun
2024DCQNet: Collaborative Camouflaged Object Detection Using Cross-Sample and Cross-Scale Network.
Panrui Tang, Zuping Zhang, Yubin Sheng, Bo Huang, Yao Xiao, Lin Shen
2024DCTF: Data Complementary Training Framework for Unsupervised Domain Adaptive Person Re-Identification.
Zhen Zhang, Wei Wang, Guoliang Kang
2024DFFNet: Dual-Channel Feature Fusion Network for End-to-End 6D Pose Estimation.
Yinning Lu, Songwei Pei
2024DICO-NEEP: NEEP with Distance Information and Constant Optimization.
Chen Liu, Chaoran Pang, Lin Wang, Bo Yang
2024DINO-ViT Enhanced Diffusion for Multi-exemplar-based Image Translation.
Xiaolin Xu, Jiangjian Xiao, Xiaolu Zhang, Xiaofeng Jin, Xiaojing Gu, Gen Xu
2024DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy.
Kun Ma, Qilong Han, Jingzheng Yao, Yuntao Zhang
2024DMAC-YOLO: A High-Precision YOLO v5s Object Detection Model with a Novel Optimizer.
Chao Meng, Shaohua Liu, Yu Yang
2024DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs.
Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu
2024DPA-RCNN: Dual Position Aware 3D Object Detector for Point Cloud.
Yidong Jiang, Qing Xie, Jiachen Li, Jinyu Xu, Yongjian Liu, Yanchun Ma
2024DPS-Net: Dual-Path Stimulation Network for Continuous Sign Language Recognition.
Xiaopeng Tian, Sheng Liu, Yuan Feng, Jiantao Yang, Yineng Zhang, Songqi Pan
2024DSA-SCGC: A Dual Self-Attention Mechanism based on Space-Channel Grouped Compression for Vehicle Re-Identification.
Yuejun Jiao, Song Qiu, Li Sun, Dingding Han, Qingli Li, Mingsong Chen
2024DSD-GAN: Double-Scale Discriminators GAN for Enhanced Chinese Brush Baimiao Painting Colorization.
Xiaoyang Bi, Yingqian Zhang, Sim Kuan Goh
2024DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization.
Juncheng Yang, Qiwei Li, Shuai Xie, Wei Yu, Shijun Li
2024DTA: Deformable Temporal Attention for Video Recognition.
Xiaohan Lei, Mengyu Yang, Gongli Xi, Yang Liu, Jiulin Li, Lanshan Zhang, Ye Tian
2024DTBNet: medical image segmentation model based on dual transformer bridge.
Kequan Chen, Yuli Wang, Jinyong Cheng
2024Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image Segmentation.
Jiaying Zhang, Guibo Luo, Ziang Zhang, Yuesheng Zhu
2024Data Augmentation with Knowledge Graph-to-Text and Virtual Adversary for Specialized-Domain Chinese NER.
Siying Hu, Zhiguang Wang, Bingbin Zhang, Tian Wang, Zhiqiang Liu, Qiang Lu
2024Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir.
Ankita Paul, Nagarajan Kandasamy, Kapil R. Dandekar, Anup Das
2024Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather.
Yue Chang, Xiao-Jun Zeng, Guowei Wang, Chengdong Shi
2024Data-Driven Preference Sampling for Pareto Front Learning.
Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
2024Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning.
Xia Cui, Terry Hanley, Muj Choudhury, Tingting Mu
2024Data-Free Backdoor Model Inspection: Masking and Reverse Engineering Loops for Feature Counting.
Qi Zhou, Wenjian Luo, Zipeng Ye, Yubo Tang
2024Data-driven Approach for Optimising Resource Allocation of O-RAN Networks.
Haitham H. Mahmoud, Muhammad Najmul Islam Farooqui, De Mi, Liucheng Guo, Chen Lu, Yuxi Gan, Zhen Gao, Ziwei Wang, Yunsheng Zhang
2024De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.
Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu
2024Debiased Causal Inference for Sequential Recommendation.
Yupeng Wu, Wen Zhao
2024Decentralized Federated Learning Links for Biometric Recognition.
Jian Guo, Hengyu Mu, Hengyi Ren, Chong Han, Lijuan Sun
2024Decentralized Incremental Federated Learning with Echo State Networks.
Geremia Pompei, Patrizio Dazzi, Valerio De Caro, Claudio Gallicchio
2024Deciphering the Complex Characterization of Coding LncRNA.
Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai
2024Decoupled Non-Local Attention for Single Image Super-Resolution.
Yi-Gang Zhao, Jian-Nan Su, Guang-Yong Chen, Yu-Bin Liu
2024Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features.
Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain
2024Decoupling-Enhanced Vietnamese Speech Recognition Accent Adaptation Supervised by Prosodic Domain Information.
Yanwen Fang, Wenjun Wang, Ling Dong, Shengxiang Gao, Hua Lai, Zhengtao Yu
2024Deep Attention Knowledge Tracking Incorporating Multiple Features and TCN-Transformer.
Ting Lv, Luqiang Xu
2024Deep Clustering for scRNA-seq Analysis via Graph Attention Networks and Variational Autoencoders.
Yufei Gao, Wenbo Zhang, Zhihua Xue, Lei Shi, Dandan Zhang
2024Deep Kernel Calibration.
Zunlei Feng, Wenxiang Xu, Tian Qiu, Jie Lei, Huiqiong Wang, Zhongle Xie
2024Deep Learning Models for Gait Event Prediction.
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez
2024Deep Learning methodology for the identification of wood species using high-resolution macroscopic images.
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera
2024Deep Neural Network Pruning with Progressive Regularizer.
Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl
2024Deep Reinforcement Learning Based Control of Lower Limb Exoskeleton.
Mowbray Rv, Sourav Rakshit
2024Deep Reinforcement Learning-Based Multi-Agent Algorithm for Vehicle Routing Problem in Complex Logistics Scenarios.
Xinzhi Zhang, Yeming Yang, Junchuang Cai, Qingling Zhu, Weineng Chen, Qiuzhen Lin
2024Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series.
Hao Huang, Tapan Shah, John Karigiannis, Scott Evans
2024Deep Target Session Interest Network for Click-Through Rate Prediction.
Hongjiang Zhong, Junchao Ma, Xiongbao Duan, Shuting Gu, Junmei Yao
2024Deep forests with tree-embeddings and label imputation for weak-label learning.
Pedro Ilídio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano
2024Deep multitask neural networks for solving some stochastic optimal control problems.
Christian Yeo
2024Deeper Graph Contrastive Learning with Attention Mechanism for Recommendation.
ZhuoHan Tao, Lipeng Huang, Jiayu Bao, Yicheng Di, Yuan Liu
2024Deepfake Detection via a Progressive Attention Network.
Siyou Guo, Mingliang Gao, Qilei Li, Gwanggil Jeon, David Camacho
2024Deeply Learned Cervical Vertebrae Maturation Staging in CT Images.
Fan Zhang, Linya Zheng, Chen Lin, Liping Huang, Yuming Bai, Yinran Chen, Xiongbiao Luo
2024Defect Correction Method for Software Requirements Text Using Large Language Models.
Li Zhang, Liubo Ouyang, Zhuoqun Xu
2024Deformable Dual-Path Networks for Chronic Obstructive Pulmonary Disease Staging in CT Images.
Chao Min, Xiongbiao Luo, Wenkang Fan, Hao Fang, Zhuo Zeng, Xiangxing Chen, Haichao Peng
2024Defying Forgetting in Continual Relation Extraction via Batch Spectral Norm Regularization.
Rundong Gao, Wenkai Yang, Xu Sun
2024Delayed MDPs with Feature Mapping.
Jialin Dong, Jiayi Wang, Lin F. Yang
2024DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries.
Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur
2024Delve into Cosine: Few-shot Object Detection via Adaptive Norm-cutting Scale.
Yanan Zhang, Yifan Jin, Rui Wang, Lixiang Liu
2024Democratic Learning: A Distributed Machine Learning Framework with Collaborative Voting and Model Pruning for Privacy and Security.
Mingyang Lv, Hong Zhang, Miao Wang, Liqiang Wang, Peng Wu
2024Dense Pseudo-Labels based Semi-supervised Object Detection for Remote Sensing
Yongjie Ma, Shiyong Lan, Wei Ma, Xiaoxiao Yin, Yao Li
2024Density Transformer for Unsupervised Time Series Anomaly Detection in Cloud Computing.
Bin Yang, Zian Wang, Zelan Zhu, Ying Xing, Yanbing Bai, Lanshan Zhang, Yaya Wei
2024Dependency-Aware Method Naming Framework with Generative Adversarial Sampling.
Chenjie Shen, Jie Zhu, Lei Yu, Li Yang, Chun Zuo
2024Depressive Disorders Recognition by Functional Connectivity Using Graph Convolutional Network Based on EEG Microstates.
Yun Su, Qi Cai, Qi Chang, Yueyang Zhou, Runhe Huang
2024Depth Estimation fusing Image and Radar Measurements with Uncertain Directions.
Masaya Kotani, Takeru Oba, Norimichi Ukita
2024Design and Analysis of a Frequency-Driven LIF Model Neuron.
Farzad Daryabari, Arash Ahmadi
2024Design and Simulation of a Novel Leader-Follower UAV Cluster and Formation Control Network.
Jack Devey, Essa Q. Shahra, Wanming Hao, De Mi, Adel Aneiba, Moad Idrissi
2024Design of Driver Stress Prediction Model with CNN-LSTM: Exploration of Feature Space using Genetic Programming.
Tingting Yang, Chenhao Xue, Jun Chen
2024Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing.
Satoshi Moriya, Hideaki Yamamoto, Masaya Ishikawa, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas, Shigeo Sato
2024Design of a High-Speed and Low-Power Threshold Adjustment Unit for Battery-Free Edge Devices.
Fangcen Zhong, Masanori Natsui, Takahiro Hanyu
2024Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach.
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka
2024Designing Reliable Navigation Behaviors for Autonomous Agents in Partially Observable Grid-world Environments.
Andrew R. Buck, Derek T. Anderson, James M. Keller, Cindy L. Bethel, Audrey L. Aldridge
2024Detecting Major Depression Disorder with Multiview Eye Movement Features in a Novel Oil Painting Paradigm.
Tian-Fang Ma, Lu-Yu Liu, Li-Ming Zhao, Dan Peng, Yong Lu, Wei-Long Zheng, Bao-Liang Lu
2024Detecting Video Image Changes Based on Improved Difference Map and Image Fusion.
Ang Tian, Zhenhong Jia, Xiaohui Huang, Sensen Song, Jiajia Wang, Gang Zhou, Fei Shi
2024Detection of High-Low Risk Lung Tumors Using Semi-Supervised and Selective Labeling Techniques.
Jinping Lao, Hongwei Lin, Haiyu Zhou, Chengchuang Lin, Zhaoliang Zheng, Gansen Zhao, Hua Tang
2024Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation.
Zhenglong Li, Vincent W. L. Tam
2024Developing Incremental Learning Models with Prototypes.
Li-Chiao Wang, Wei Liu, Chung-Shou Liao
2024DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks.
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2024DfuseNAS: A Diffusion-Based Neural Architecture Search.
Lotfi Abdelkrim Mecharbat, Hadjer Benmeziane, Hamza Ouarnoughi, Smaïl Niar, Kaoutar El Maghraoui
2024Dialogue Act Recognition Based on Self-supervised Act Denoising.
Haitao Gui, Zhongqing Wang
2024Dimensional reduction for solar irradiance forecasting problem using principal components analysis and Turk-Pentland strategy.
Felipe P. Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. da Rocha Neto, Victor Oliveira Santos
2024DisGAN: Distance-Aware Generative Adversarial Network for Diverse Image Generation.
Feng Li, Liwen Shi, Kelong Zhang
2024Discrete Structure Aggregation and Global-region Query-located Network for Fine-grained Visual Classification.
Dong Ren, Wenlong Huang, Hang Sun, Yuan Yao, Shun Ren
2024Disentangling Interest and Conformity Representation to Mitigate Popularity Bias for Sequential Recommendation.
Wenyue Hu, Zhenyu Yang, Yan Huang, Zhibo Zhang, Baojie Xu
2024Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.
Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon
2024Disentangling Specificity for Abstractive Multi-document Summarization.
Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo
2024Disfluency Detection for Real-World Scenarios.
Jianbang Ding, Suiyun Zhang, Dandan Tu
2024Distantly Supervised Relation Extraction based on Non-taxonomic Relation and Self-Optimization.
Zhaorui Jian, Shengquan Liu, Wei Gao, Jianming Cheng
2024Distributed Machine Learning with Electric Vehicles in Parking Lots.
Weijun Bai, Juncheng Jia, Tao Deng, Mianxiong Dong
2024Distributed and Correlation Group-based Sure Independence Screening and Sparsifying Operator.
Yixin Li, Yongmei Lei
2024Document-Level Event Argument Extraction with Constrained Pooling and Relevance Evaluation.
Guanghui Wang, Dexi Liu, Qizhi Wan, Rong Hu, Xiping Liu, Changxuan Wan, Jiaming Liu
2024Document-Level Machine Translation with Effective Batch-Level Context Representation.
Kang Zhong, Jie Zhang, Wu Guo
2024Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation.
Zijie Qian, Zhong Qian, Peifeng Li, Qiaoming Zhu
2024Document-level Overlapping Event Extraction via ChatGPT Leading Decision and Cross-Sentence Entity Representation Enhancements.
Dong Yu, Jiawen Cao
2024Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control.
Connor Gäde, Jan-Gerrit Habekost, Stefan Wermter
2024Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement.
Sixing Liu, Yi Jiang, Zhichao Wu, Linyu Yao, Qun Yang
2024Dual Dynamic Attention Network for Flexible Job Scheduling with Reinforcement Learning.
Yuting Zhao, Yuepeng Chen, Ji Wu, Chenyi Guo
2024Dual Frequency-based Temporal Sequential Recommendation.
Shijie Luo, Jianxia Chen, Tianci Yu, Shi Dong, Gaohang Jiang, Ninglong Ding
2024Dual Prototype Learning for Robust Open Set Recognition.
Yini Wang, Xiaodong Yue, Zhikang Xu, Zihao Li
2024Dual Variational Knowledge Attention for Class Incremental Vision Transformer.
Haoran Duan, Rui Sun, Varun Ojha, Tejal Shah, Zhuoxu Huang, Zizhou Ouyang, Yawen Huang, Yang Long, Rajiv Ranjan
2024Dual center based intuitionistic fuzzy plane based classifiers.
Anuradha Kumari, Muhammad Tanveer
2024Dual-Adaptive Fusion Multi-View Clustering Based on Graph Autoencoder.
Changyong Niu, Mengqi Wu, Lijuan Zhou
2024Dual-Branch Knowledge Distillation for Long-Tailed Recognition.
Yuge Xu, Chuanlong Lyu, Ziyi Xie
2024Dual-Branch Knowledge Enhancement Network with Vision-Language Model for Human-Object Interaction Detection.
Guangpu Zhou, Dehui Kong, Jinghua Li, Dongpan Chen, Zhuowei Bai, Baocai Yin
2024Dual-Branch Retinal OCT Anomaly Detection Based on Knowledge Distillation and Reconstruction.
Minghui Zhai, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang
2024Dual-Dimensional Adversarial Attacks: A Novel Spatial and Temporal Attack Strategy for Multi-Object Tracking.
Weilong Zhang, Fang Yang, Zhao Guan
2024Dual-Encoding Y-ResNet for generating a lens flare effect in images.
Dawid Polap, Antoni Jaszcz, Gautam Srivastava
2024Dual-Stage Training Frame-level Overlapping Speech Detection Model Based on Convolutional Neural Network Architecture.
Zhifei Pan, Guangcun Wei, Qingge Fang, Jihua Fu, Jianan Liu
2024DualPSNet: A Discrepant-Annotations-Driven Framework for Medical Image Segmentation from Dual-Polygon Supervision.
Rongjie Tang, Lei Zhang, Lituan Wang
2024Dy-Sigma: A Generalized Accelerated Convergence Strategy for Diffusion Models.
Zhou Liu, Zheng Ye, Jing Liu, Jun Qin
2024DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection.
Changrok So, Simon S. Woo, Jong Hwan Ko
2024Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation.
Christopher Angelini, Nidhal C. Bouaynaya
2024Dynamic Denoising of Contrastive Learning for GNN-based Node Embedding.
Pinyi Zhang, Hexin Bai, Yu Dai, Haibin Ling, Kai Zhang
2024Dynamic Environment-driven Autonomous Drone Path Planning via Deep Reinforcement Learning.
Qiuhong Wang, Jingjing Gu
2024Dynamic Gesture Recognition Using a Spatio-Temporal Adaptive Multiscale Convolutional Transformer Network.
Jie Chen, Yun Tie, Lin Qi, Chengwu Liang
2024Dynamic Link Prediction for New Nodes in Temporal Graph Networks.
Xiaobo Zhu, Yan Wu, Qinhu Zhang, Zhanheng Chen, Ying He
2024Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction.
Xin Yun Choy, Li Rong Wang, Thomas C. Henderson, Kelvin Li, Yih Yng Ng, Xiuyi Fan
2024EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning.
Ziqi Liang, Jianzong Wang, Xulong Zhang, Yong Zhang, Ning Cheng, Jing Xiao
2024ECA-SLAM: A Visual SLAM Utilizing Depth Features and Attention Mechanism.
Wenjie Deng, Yun Tie, Lin Qi
2024ECT: Efficient Cross Transformer for Image Deblurring.
Chengwei Hu, Weiling Cai, Chen Zhao
2024EDSNet: A deep supervision-based classification framework for non-standard medical images of lung cancer.
Ziming Lin, Zekai Huang, Chengchuang Lin, Zhaoliang Zheng, Youqun Wang, Hongwei Lin, Gansen Zhao, Haiyu Zhou
2024EEG-based Emotion Recognition Using Temporal Convolutional Network and Vision Transformer.
Yun Su, Yueyang Zhou, Xuan Li, Qi Cai, Yishan Liu
2024EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices.
Xiaohui Wei, Guanhua Chen, Chen Yang, Hairui Zhao, Chenyang Wang, Hengshan Yue
2024EMKG: Efficient Matchings for Knowledge Graph Integration in Stance Detection.
Yuhang Cheng, Kaiwen Li, Zhao Kang
2024ENAO: Evolutionary Neural Architecture Optimization in the Approximate Continuous Latent Space of a Deep Generative Model.
Zheng Li, Xuan Rao, Shaojie Liu, Bo Zhao, Derong Liu
2024ERC DMSP: Emotion Recognition in Conversation Based on Dynamic Modeling of Speaker Personalities.
Xiaoyang Li, Zhenyu Yang, Zhijun Li, Yiwen Li
2024ERF: Generating Hierarchical Editing Audio-Driven Talking Head Using Dynamic Neural Radiance Fields.
Rui Lang
2024ESC: Explaining the Predictions of Deep Neural Networks via Concept Similarity.
Lijun Gao, Suran Wang, Wenwen Gu, Zeyang Sun, Xiao Jin, Youzhi Zhang
2024ESRA: a Neuro-Symbolic Relation Transformer for Autonomous Driving.
Alessandro Sebastian Russo, Lia Morra, Fabrizio Lamberti, Paolo Emmanuel Ilario Dimasi
2024ESSDB-GCN: Enhanced Syntactic and Semantic Dual-Branch Graph Convolutional Network for Aspect Sentiment Triple Extraction.
Chao Yang, Jiajie Xing, Susu Wei, Xianguo Zhang
2024ETreeNet: Ensemble Model Fusing Decision Trees and Neural Networks for Small Tabular Data.
Tsukasa Yamakura, Kazushi Kawamura, Masato Motomura, Thiem Van Chu
2024EViTIB: Efficient Vision Transformer via Inductive Bias Exploration for Image Super-Resolution.
Anni Yu, Zhong-Han Niu, Jia-Xin Xie, Qing-Long Zhang, Yu-Bin Yang
2024Early-Late Dropout for DivideMix: Learning with Noisy Labels in Deep Neural Networks.
Huyu Wu, Bowen Jia, Gaojie Sheng
2024Edge AI Online Training Architecture Using Multi-Phase-Quantization Optimizer.
Itsuki Akeno, Hiiro Yamazaki, Tetsuya Asai, Kota Ando
2024Edge Deployable Online Domain Adaptation for Underwater Object Detection.
Djamahl Etchegaray, Yadan Luo, Yang Li, Brendan Do, Jiajun Liu, Zi Huang, Branislav Kusy
2024Edge-Guided Multilevel Feature Fusion Network for Lightweight Camouflaged Object Detection.
Xingpeng Zhang, Meilin Gao, Guohai Gao, Xin Wang, Qiuli Wang
2024Editing Audio-Driven Talking Head Based on Audio Information.
Rui Lang
2024Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning.
Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen
2024Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization.
Zhenyu Guan, Xun Liang
2024Effects of the retina-inspired light intensity encoding on color discrimination performance.
Io Yamada, Hirotsugu Okuno
2024Efficient Image Super-Resolution via Symmetric Visual Attention Network.
Qinrui Fan, Chengxu Wu, Shu Hu, Xi Wu, Xin Wang, Jing Hu
2024Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning.
Zuheng Kang, Yayun He, Jianzong Wang, Junqing Peng, Jing Xiao
2024Efficient Neural Decoder: Mixture-Regularized Bidirectional GRU with Attention.
Xiaole Zhang, Jingchen Zuo, Xiecheng Shao
2024Efficient Online Learning for Networks of Two-Compartment Spiking Neurons.
Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
2024Efficient Routing in Sparse Mixture-of-Experts.
Masoumeh Zareapoor, Pourya Shamsolmoali, Fateme Vesaghati
2024Efficient Selection Based on Integrated Information for Dialogue State Tracking.
Hongyun Du, Jikun Dong, Shengyu Fan, Shengjie Jia, Feiyue Diao, Jiran Zhu, Wei Sun, Hui Yu, Weizhi Xu
2024Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps.
Jinyu Zhong, Weiming Zeng, Yunhua Chen, Jinsheng Xiao, Irwin King
2024Efficient Transformer-based Edge Detector.
Jinghuai Jie, Qifan Wang, Junmin Wu, Yan Guo, Baojian Hua
2024EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization.
Jianzong Wang, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao
2024Embedded event based object detection with spiking neural network.
Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, Alain Pegatoquet, Benoît Miramond
2024Empowering Multiclass Classification and Data Augmentation of Arabic News Articles Through Transformer Model.
Jahanggir Hossain Setu, Nabarun Halder, Sankar Sikder, Ashraful Islam, Md. Zahangir Alam
2024Encoding Individual Activation and Collective Diffusion Capability for Influence Maximization.
Si Chen, Bang Wang
2024End-to-end Image Classification in Linear Hybrid Cellular Automata.
Naoki Sawahashi, José C. Príncipe
2024Energy-Efficient Multi-UAV Collaborative Path Planning using Levy Flight and Improved Gray Wolf Optimization.
Hongtao Zhang, Li Tan, Yuzhao Liu, Tianli Yuan, Haixia Zhao, He Liu
2024Energy-Efficient Seizure Detection Suitable for Low-Power Applications.
Julia Werner, Bhavya Kohli, Paul Palomero Bernardo, Christoph Gerum, Oliver Bringmann
2024Enhance Fine-Grained Visual Classification with Attention-Guided Region Selection and Contrastive Feature Alignment.
Jin Chen, Huan Wang
2024Enhance Large Language Models for Multilingual Sentence Embedding with Knowledge Graph.
Zhenyu Wang, Yifei Wu
2024Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric.
Yehuan Wang, Jiefeng Long, Jian Hu, Lin Shang
2024Enhanced Anomaly Detection in Dashcam Videos: Dual GAN Approach with Swin-Unet for Optical Flow and Region of Interest Analysis.
Haodong Ru, Menghao Zhang, Cheng Zhou, Pengfei Ren, Haifeng Sun, Qi Qi, Lejian Zhang, Jingyu Wang
2024Enhanced Causal Reasoning and Graph Networks for Multi-agent Path Finding.
Dongming Zhou, Zhengbin Pang, Wei Li
2024Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices.
Manuel E. Segura, Pere Vergés, Justin Tian Jin Chen, Ramesh Arangott, Angela Kristine Garcia, Laura Garcia Reynoso, Alexandru Nicolau, Tony Givargis, Sergio Gago Masagué
2024Enhanced Emotion Recognition Through Multimodal Fusion Using TriModal Fusion Graph Convolutional Networks.
Maoheng Li
2024Enhanced Object Detection Method with Decoupled Direction Prediction and Fusion Strategy.
Hongwei Zheng, Nanfeng Xiao
2024Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling.
Chenhong Zhou, Jie Chen, Zaifeng Yang, Alexander Matyasko, Ching Eng Png
2024Enhanced Reverse Distillation Guided Segmentation Network for Anomaly Detection.
Li Xu, Xiang Ma, Jiahao Chen, Qinzhen Xu, Luxi Yang
2024Enhanced Self-supervised Graph Learning Algorithm for Social Recommendation.
Zhongshan Liu, Li Zhang
2024Enhanced Vehicle Detection through Multi-Sensor Fusion Utilizing YOLO-NAS and Faster R-CNN.
Adi El-Dalahmeh, Moawiah El-Dalahmeh, Jie Li
2024Enhanced YOLOv8 for Small Object Detection in UAV Aerial Photography: YOLO-UAV.
Hongcheng Xue, Xinyi Wang, Yuantian Xia, Zhan Tang, Lin Li, Longhe Wang
2024Enhancement of medical report generation by multi-scale image deblurring strategy.
Yuxin Wang, Yongping Du, Shaorou Tang
2024Enhancement of the Robustness of Redundant Robot Arms Against Perturbations by Inferring Dynamical Systems Using Echo State Networks.
Hiroshi Atsuta, Yuji Kawai, Minoru Asada
2024Enhancing Abstractive Dialogue Summarization with Internal Knowledge.
Shaolei Wang, Hanhan Ma, Yunxiang Zhang, Jing Ma, Liang He
2024Enhancing Adversarial Attacks: The Similar Target Method.
Shuo Zhang, Ziruo Wang, Zikai Zhou, Jiyao Liu, Huanran Chen
2024Enhancing Alignment and Uniformity of Contrastive Learning for Knowledge-based Recommendation.
Zuxiang Xie, Junyi Li, Ning Wu
2024Enhancing Anomalous Sound Detection with Multi-Level Memory Bank.
Baoping Deng, Jinggang Chen, Zhenhou Hong, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Changsheng Xie, Jianzong Wang
2024Enhancing Anomaly Detection in Noisy Images: Unleashing the Power of Attention-Aware PDE Constraint Feature Denoiser Module.
Ranjeet Ranjan Jha, Andra Siva Sai Teja, Venkatesh Wadawadagi, Ravindra Babu Tallamraju
2024Enhancing Aspect Category Sentiment Analysis for Skier Satisfaction Evaluation: Leveraging Semantic Knowledge in Aspect Labels.
Zhongyue Yi, Yohei Seki
2024Enhancing Code Representation Learning for Code Search with Abstract Code Semantics.
Shaojie Zhang, Yiwei Ding, Enrui Hu, Yue Yu, Yu Zhang
2024Enhancing Control Strategies for Hand Exoskeletons Through Modeling and Electromyogram-based Control.
Norafizah Abas, Kalaiyarasan Ganasegaran, Nor Maniha Abdul Ghani, Anuar Mohamed Kassim, Mohd Azman Abas
2024Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method.
Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
2024Enhancing Data-Free Model Stealing Attack on Robust Models.
Jianping He, Haichang Gao, Yunyi Zhou
2024Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective.
Gaurav Singh, Kavitesh Kumar Bali
2024Enhancing Diabetic Retinopathy Detection Through Transformer Based Knowledge Distillation and Explainable AI.
Abdullah Al Shafi, Miraj Hossain Shawon, Nida Shahid, Rita Rahman, Riasat Khan
2024Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents.
Tofik Ali, Partha Pratim Roy
2024Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion.
Rubén Pascual, Adrián Maiza, Mikel Sesma-Sara, Daniel Paternain, Mikel Galar
2024Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering.
Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
2024Enhancing Few-shot Classification through Token Selection for Balanced Learning.
Wangding Zeng, Peiwen Sun, Honggang Zhang
2024Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification.
Zefei Luo, Yu Li, Shuaishuai Tan, Daojing He
2024Enhancing Lightweight Remote Sensing Semantic Segmentation via Weak Consistency Regularization.
Zirong Chen, Shunxin Xiao, Wang Man, Da-Han Wang, Yifan He, Shunzhi Zhu
2024Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers.
Arindam Majee, Avisek Gupta, Sourav Raha, Swagatam Das
2024Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data.
Lihu Pan, Xiaohua Li, Zhengkui Wang, Rui Zhang, Nan Yang, Wen Shan
2024Enhancing Offline Reinforcement Learning via Dynamics-Aware Mixup.
Chang Tan, Yunjie Su, Jiaao Wang
2024Enhancing Question Answering through Effective Candidate Answer Selection and Mitigation of Incomplete Knowledge Graphs and over-smoothing in Graph Convolutional Networks.
Sirui Li, Kok Wai Wong, Dengya Zhu, Chun Che Fung
2024Enhancing Small Object Detection in Aerial Imagery Based on Strong Feature Extraction and Batch Dimension.
Bingnan Cao, Di Wang, Ying Guo, Hu Zhang
2024Enhancing Spatial-Temporal Awareness via Graph Convolutional Networks and Transformers for Traffic Flow Forecasting.
Daoming Lu
2024Enhancing Spatial-Temporal Neural Networks with Long-Term Temporal Features for Traffic Prediction.
Hao Xia, Zhuang Ma, Gang Chen
2024Enhancing Vulnerable Class Robustness in Adversarial Machine Learning.
Minal Suresh Patil, Kary Främling
2024Enhancing Weather Model: A Meteorological Incremental Learning Method with Long-term and Short-term Asynchronous Updating Strategy.
Junjiao Liu, Cheng Zhang, Guoshuai Zhao, Xueming Qian
2024Enhancing house inspections: UAVs integrated with LLMs for efficient AI-powered surveillance.
Vu Trung Nguyen, Jingwen Zhou, Chengzu Dong, Guangming Cui, Qi An, Sunny Vinnakota
2024Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models.
Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang
2024Ensemble Methods for Selecting Single Nucleotide Polymorphisms Associated to Rice Phenotypes.
Breno O. Funicheli, Claudio Brondani, Rosana P. Vianello, Ricardo Cerri
2024Entity and Evidence Guided Attention for Document-Level Relation Extraction.
Yi Yu, Dongsheng Zou, Yuming Yang, Xinyi Song, Hao Wang, Bi Zhao
2024Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning.
Qianqian Qi, Lin Ni, Zhongsheng Wang, Libo Zhang, Jiamou Liu, Michael Witbrock
2024Error Bound Based Noise Schedule Design in Diffusion Models.
Liyuan Liu, Chun Yuan
2024Estimating Individual Causal Treatment Effect by Variable Decomposition.
Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang
2024Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis.
João Wellington M. Souza, Elene F. Ohata, Navar Medeiros M. Nascimento, Shara S. A. Alves, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands Rego da Rocha, Pedro Pedrosa Rebouças Filho
2024EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation.
Xuehai Tang, Zhongjiang Yao, Huazhen Zhong, Guan Wang, Yuanshu Zhao, Xiaodan Zhang, Jizhong Han
2024EvSegSNN: Neuromorphic Semantic Segmentation for Event Data.
Dalia Hareb, Jean Martinet
2024Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances.
Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller
2024Evaluating Explanation Robustness to Model Pruning.
Hanxiao Tan
2024Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface.
Anupam Sharma, Krishna Miyapuram
2024Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.
Alycia N. Carey, Minh-Hao Van, Xintao Wu
2024Event Camera-Based Real-Time Gesture Recognition for Improved Robotic Guidance.
Muhammad Aitsam, Sergio Davies, Alessandro G. Di Nuovo
2024Event Detection Model Based on the Fusion of Hierarchical Syntactic and Type Semantic Features.
Guozheng Rao, Qing Cong, Li Zhang, Kaijia Tian
2024Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs.
Xiaobin Zhang, Liangjun Zang, Qianwen Liu, Shuchong Wei, Songlin Hu
2024Evolutionary Complex-Valued CNN for PolSAR Image Classification.
Mengxuan Zhang, Jingyuan Shi, Long Liu, Xilu Wang, Licheng Jiao
2024Exomoon localization in simulations using YOLO.
Alejandra Fernández, Guillermo Cabrera, Cristóbal Donoso, Alice Zurlo, Cecilia Lazzoni, Pedro Nogueira, Trisha Bhowmik
2024Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space.
Yujun Huang, Wentao Zhang, Ruixuan Wang
2024Explainable AI: Can the AI Act and the GDPR go out for a date?
Maja Nisevic, Arno Cuypers, Jan De Bruyne
2024Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning.
JingYing Gao, Alan Blair, Maurice Pagnucco
2024Explaining Random Forests as Single Decision Trees through Distance Functional Optimization.
Zihao Li, Xiao Du, Tieru Wu, Yang Cao
2024Explaining Supervisor Set for Machine Learning Methods.
Andrzej Nowakowski, Piotr Fulmanski, Marta Lipnicka
2024Explanation based Bias Decoupling Regularization for Natural Language Inference.
Jianxiang Zang, Hui Liu
2024Explanations for Graph Neural Networks using A Game-theoretic Value.
Xueting Qiao, Wanyu Lin, Mingxuan Ouyang, Ting Jiang, Ji Zhang
2024Exploiting Class Feature Alignment for Personalized Federated Learning in Mixed Skew Scenarios.
Wentao Yin, Yuhang Zhang
2024Exploiting Multi-View Clues for Context-Aware Unified Lumbar MRI Identification and Diagnosis.
Weiwen Zhang, Cheng Xu, Xuemiao Xu, Huaidong Zhang, Rongchen Zhao, Jing Qin
2024Exploiting Visual Relation and Multi-Grained Knowledge for Multimodal Relation Extraction.
Qianru Shen, Hailun Lin, Huan Liu, Zheng Lin, Weiping Wang
2024Exploration Techniques in Active Learning in Classification.
Peter Kuchling
2024Exploring Chinese Humor Generation: A Study on Two-part Allegorical Sayings.
Rongwu Xu
2024Exploring Graph Representations in Machine Learning for Network Robustness Evaluation.
Yang Lou, Chengpei Wu, Bo-Yu Chen
2024Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.
Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue
2024Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models.
Zonghao Yang, Jintao Yang, Yushan Tan, Changhai Tian, Junyao Zhou, Jun Ma, Wenpeng Hu, Zhunchen Luo, Wei Luo
2024Exploring What to Share for Multimodal Image Synthesis.
Guoliang Qi, Bing Cao, Qinghua Hu
2024Exploring and Improving Consistency in Large Language Models for Multiple-Choice Question Assessment.
Wenjie Zhou, Xiangyu Duan
2024Exploring the impact of zero-cost proxies for Hybrid Vision Transformers.
Mario Haddad-Neto, André Silva, Rayol Mendonca-Neto, Luiz Cordovil
2024Extraction and Transfer of General Deep Feature in Reinforcement Learning.
Min Chen, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Shijie Wang, Boyin Liu
2024Eyes Attribute Editing Assisted by Dual-Coordinate System and Multi-Probability Fusion Prediction.
Zheyi Sun, Hao Liu, Jiuzhen Liang
2024FAMT: Fusion of Feature Attention Mechanisms and Multiscale Temporal Relationships for Traffic Accident Prediction.
Weibin Deng, Hongxing Li
2024FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation.
Daixi Jia, Lipeng Chen, Xingzhe Su, Fengge Wu, Junsuo Zhao
2024FCM-Induced Switching Reinforcement Learning for Collaborative Learning.
Katsuhiro Honda, Taimu Yaotome, Seiki Ubukata, Akira Notsu
2024FDAPNet: Feature Denoising and Aggregation Prediction Network for Polyp Segmentation.
Yang Deng, Jianzhe Gao, Lijun Bao, Zhong Chen
2024FEW: Multi-modal Recommendation for Cold-Start.
Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang
2024FGA: Fourier-Guided Attention Network for Crowd Count Estimation.
Yashwardhan Chaudhuri, Ankit Kumar, Arun Balaji Buduru, Adel Alshamrani
2024FGF-Bert: A modified Bert-based approach with a fine-grained feature fusion strategy for Binary Code Similarity Detection.
Liangcong Deng, Shu Liang
2024FHAA-GCN: Feature Homogeneous Adaptive Aggregation Graph Convolutional Network for Alzheimer's Disease Prediction.
Zhiwen Wang, Haoqiang Gong, Jinfeng Wang
2024FML-Net: Enhancing Real-Time Defect Detection Network With Data Feature Memory Learning and Attention Asymmetric Large Kernel.
Liang Huang, Qiongxia Shen, Yanlie Zheng, You Yang
2024FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search.
Haoming Zhang, Ran Cheng
2024FRTANet: Feature Reconstruction and Twofold Attention for Occluded Person Re-Identification.
Weixuan Wang, Guoqiang Xiao
2024FSAD:Few-Shot Object Detection via Aggregation and Disentanglement.
Yunfeng Kou, Kunming Wu, Chenghao Huang, Hu Chen, Wenchao Du, Hong Liu
2024FSMANet: Flash Shuffle Mix Attention Network for Human Sitting Posture Recognition.
Tianxiang Zhao, Shoudong Shi, Kedi Qiu, Yongfang Ye, Ting Lan
2024FaCTQA:Detecting and Localizing Factual Errors in Generated Summaries Through Question and Answering from Heterogeneous Models.
Trina Dutta, Xiuwen Liu
2024FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning.
Hao Liu, Yingguang Yang, Qi Wu, Buyun He, Yong Liao, Pengyuan Zhou
2024Face Morphing via Adversarial Attack-based Adaptive Blending.
Qiaoyun He, Zongyong Deng, Zuyuan He, Qijun Zhao
2024Facial Expression Recognition with Age-Group Expression Feature Learning.
Yansong Huang, Junjie Peng, Zesu Cai, Jiatao Guo, Gan Chen, Shuhua Tan
2024Factorized models in neural architecture search: Impact on computational costs and performance.
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2024Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach.
Yucong Dai, Xiangyu Jiang, Yaowei Hu, Lu Zhang, Yongkai Wu
2024FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning.
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
2024False Negative Masking for Debiasing in Contrastive Learning.
Jen-Tzung Chien, Kuan Chen
2024FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation.
Riza Velioglu, Robin Chan, Barbara Hammer
2024Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns.
Mengqi Zhang, Matthias Treder, David Marshall, Yuhua Li
2024Fast Learning for Multi-Agent with Combination of Imitation Learning and Model-Based Learning for Formation Change of Transport Robots.
Keisuke Azetsu, Almira Budiyanto, Nobutomo Matsunaga
2024Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator.
Lulu Cao, Haokai Hong, Min Jiang
2024Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory.
Madalina Erascu
2024Fast k-means with Stable Instance Sets.
Ariel Basso Madjoukeng, Edith Belise Kenmogne, Benoît Frénay
2024Feature Alignment and Reconstruction Constraints for Multimodal Sentiment Analysis.
Qingmeng Zhu, Tianxing Lan, Jian Liang, Deliang Xiang, Hao He
2024Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look.
Yong Zhang, Rui Zhu, Shifeng Zhang, Xu Zhou, Shifeng Chen, Xiaofan Chen
2024Feature Transformation for Few-Shot Learning.
Peizheng Wang, Qifei Zhang, Jie Zhang, Gang Li, Chao Wu
2024Feature-Aware Noise Contrastive Learning For Unsupervised Red Panda Re-Identification.
Jincheng Zhang, Qijun Zhao, Tie Liu
2024Fed-IoVIDS: Intrusion Detection based on Attack Behavior Analysis with Temporal Model on IoV Considering Privacy Protection.
Rui Chen, Jing Zhao
2024FedDADP: A Privacy-Risk-Adaptive Differential Privacy Protection Method for Federated Android Malware Classifier.
Changnan Jiang, Chunhe Xia, Mengyao Liu, Rui Fang, Pengfei Li, Huacheng Li, Tianbo Wang
2024FedLRDP: Federated Learning Framework with Local Random Differential Privacy.
Runtian Zhou, Anming Dong, Jiguo Yu, Qingyan Ding
2024FedQNN: Federated Learning using Quantum Neural Networks.
Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai
2024FedRecTID: A General Robust Federated Recommendation Framework Based on Target Items Detection.
Hongyun Cai, Fengyu Li, Chuan Feng
2024FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction.
Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024FedTAIL: A Federated Learning Approach with Trans-Architecture Intermediate Links.
Dian Jiao, Jie Liu
2024Federated Deep Unfolding for Compressive Sensing.
Yiwei Lu, Jun Zhang
2024Federated Learning Methodology for Indoor Location Systems in Multi-Layer Architecture.
José Luis López Ruiz, María Ángeles Verdejo-Espinosa, Macarena Espinilla Estévez
2024Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study.
Hongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu
2024Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving.
Junyao Liang, Juan Li, Ji Zhang, Tianzi Zang
2024Federated Loss Exploration for Improved Convergence on Non-IID Data.
Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction.
Xinyu Wang, Feng Qiang, Li Ma, Peng Zhang, Hong Yang, Zhao Li, Ji Zhang
2024Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining.
Nongxiao Wang, Xulun Ye, Jieyu Zhao, Qing Wang
2024Few-Shot Camouflaged Object Segmentation.
Ziqiu Wang, Yuying Li, Yang Yang, Yamin Li, Gaoyang Liu
2024Few-Shot Class-Incremental Learning with Class Centers and Contrastive Learning for Incremental Vehicle Recognition.
Huiyu Yi
2024FilterIE: A Joint multimodel information extraction model under two-stage visual data filtering.
Yihan Zhao, Jun Cheng, Tao Meng, Xiaohua Wu
2024Financial Market Volatility Forecasting Based on Domain Adaptation.
Qiao Pan, Feifan Zhao, Dehua Chen
2024Finding Local Dependent Regions in PDFs using RKHS Uncertainty Moments and Optimal Transport.
Rishabh Singh, Yaxin Ma, José C. Príncipe
2024Fine-Grained Agricultural Facility Power Forecasting Based on Empirical Mode Decomposition.
Erlei Zhang, Yu Zhang, Xiangsen Liu, Wenxuan Yuan, Jiangbin Zheng, Mingchen Feng
2024Fine-Grained Contrastive Learning for Pulmonary Nodule Classification.
Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan
2024Fine-Grained Depth Knowledge Distillation for Cloth-Changing Person Re-identification.
Yuhan Yao, Jiawei Feng, Ancong Wu, Jiangqun Ni, Wei-Shi Zheng
2024Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition.
Jinghao Li, Jiajia Tang, Wanzeng Kong, Yanyan Ying
2024FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness.
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
2024Flow-Aware Scheduling with Graph Neural Network Routing for Resource Efficiency in Time-Sensitive Networking.
Xinyi Hong, Yuhao Xi, Peng Liu
2024Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection.
Zichen Wang, Zhuokun Yao, Jianwei Zhang, Ye Zheng, Zhengyuan Zhang, Shuang Deng, Yajing Liu, Hao Liu
2024FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series.
Qiqi Su, Christos Kloukinas, Artur d'Avila Garcez
2024Focusing on diacritics to improve Vietnamese scene text detection.
Wenhui Huang, Shaoliang Shi, Yimin Wen
2024Forecasting Distillation: Enhancing 3D Human Motion Prediction with Guidance Regularization.
Yawen Du, Zhihao Wang, Yinming Li, Xiaosong Yang, Chao Wu, Zhao Wang
2024Forecasting Events within Temporal Intervals using First Occurrence Distributions.
Siqi Zhang, Yangge Qian, Tianyi Wang, Jinjun Zhang, Xiaolin Qin
2024Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics.
Guillaume Durand, Julio J. Valdés, Thomas Guyondet, Olivia Gerry Rice, Michael Coffin
2024Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting.
Junxian Zhou, Shoujin Wang, Yuming Ou
2024Fractal Augmented Pre-training and Gaussian Virtual Feature Calibration for Tackling Data Heterogeneity in Federated Learning.
Yan Zheng, Yanlong Zhai, Yanglin Liu, You Li
2024FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation.
Xuan Xia, Weijie Lv, Xing He, Nan Li, Chuanqi Liu, Ning Ding
2024From "What" to "When" - a Spiking Neural Network Predicting Rare Events and Time to their Occurrence.
Mikhail V. Kiselev, Andrey Lavrentyev, Denis A. Larionov, Dmitry A. Ivanov
2024From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach.
Na Wang, Yao Zhao, Youyang Qu, Lei Cui, Bai Li, Longxiang Gao
2024From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.
Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang
2024From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification.
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2024From Static to Dynamic: A Deeper, Faster, and Adaptive Language Modeling Approach.
Jiajia Li, Qiwei Li, Ping Wang
2024From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation.
Daniela Amendola, Teresa M. A. Basile, Giovanna Castellano, Gennaro Vessio, Gianluca Zaza
2024Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition.
Yu Gong, Yang Yang, Xuehao Gao, Shaoyi Du
2024Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces.
Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng
2024Fundamental Rights and AI Impact Assessment: a proposal for a new quantitative approach.
Nicole Inverardi, Samuele Bertaina, Ilaria Biganzoli, Andrea Cosentini, Rachele Desiante, Dario Fontanella, Ilaria Giuseppina Penco
2024Fusion of Attention-Based Cascaded CNN and Label Dependency-Based GCN for Multi-label Scene Classification of Mining Land.
Xianju Li, Cong Cheng, Wenxi He, Weitao Chen
2024Fusion of Current and Historical Knowledge for Personalized Federated Learning.
Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge
2024Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks.
Naoya Sogi, Hiroyuki Oyama, Takashi Shibata, Makoto Terao
2024Fuzzy Overlapping Community Guided Subgraph Neural Network for Graph Classification.
Xin Liu, Yao Xiao, Bo Huang, Yan Zhang, Zuping Zhang
2024G-Former: A Grouping Transformer for Weakly Supervised Point Cloud Segmentation.
Zehan Huang, Fukun Yin, Jiayuan Fan, Xin Chen, Hongyuan Zhu, Bin Wang, Tao Chen
2024G-YOLOv5: A Face Mask Detector That Balances Effectiveness and Real-Time.
Rong Ye, Mayire Ibrayim, Askar Hamdulla
2024G2Vec: Spatial-Temporal Trajectory Generation Network based on Multi-Resolution Feature Correlation.
Zeyun Zhao, Changjian Wang, Zhen Huang, Yongheng Li, Gaojin He
2024GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories.
Andreas Lohrer, Darpan Malik, Claudius Zelenka, Peer Kröger
2024GAN Doctor: Diagnosing and Treating Inherent Semantic Errors.
Chengji Shen, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, Mingli Song
2024GAN-based Data Augmentation of Railway Track Irregularities for Fault Diagnosis.
Héctor A. Fernández-Bobadilla, Ullrich Martin
2024GANet: A Pedestrian Crossing Intention Prediction Method Based on Group Modelling and Individual Abnormal Action Detection.
Lingqiu Zeng, Guilin Xu, Qinwen Han, Xujing Ding, Lei Ye, Han Hu
2024GMCL: Graph Mask Contrastive Learning for Self-Supervised Graph Representation Learning.
Long Xu, Zhiqiang Pan, Honghui Chen, Tianjian Zhou
2024GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis.
Subhayu Ghosh, Nanda Dulal Jana
2024GPINN: Physics-Informed Neural Network with Graph Embedding.
Yuyang Miao, Haolin Li, Danilo P. Mandic
2024GPNet: Infrared Small Target Detection via Global Information Enhancement and Position Attention Guidance.
Yuye Zhang, Xiuhong Li, Ying Zheng, Boyuan Li, Kangwei Liu, Jian Ma, Dangxuan Wu
2024GRU-TSMixers: Sleep Apnea and Hypopnea Detection Based on Multi Scale MLP-Mixers.
Zufang Huang, Kejing He
2024GS-SQL: Modeling Spatial Semantics in Spatial Text-to-SQL.
Xu Zhang, Feiyang Xiao, Liang Yan, Zhiqing Zhang
2024GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.
Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng
2024GSLip: A Global Lip-Reading Framework with Solid Dilated Convolutions.
Junxia jiang, Zhongqiu Zhao, Yi Yang, Weidong Tian
2024Game Perception Assessment Algorithm Based on Cumulative Link Ordered Regression.
Xianxing Zhu, Yuan Jia, Gang Zhou, Fei Shi, Xiaohui Huang, Jiajia Wang
2024GaniX: Advancing GANimation through ConvNeXt features.
Yicheng Jin
2024Gated Transformer Representing Region Importance for Image Quality Assessment.
Junyong You, Yuan Lin, Jari Korhonen
2024Gaussian Process Based Sequential Regression Models.
Kaito Takegawa, Yuya Yokoyama, Yukihiro Hamasuna
2024GenPower-NeRF: A Neural Radiance Field Method with Powerful Generalization.
Zipei Ding, Zhibin Zhang, Yajie Liang
2024Generalized Gaze-Vector Estimation in Low-light with Encoded Event-driven Neural Network.
Abeer Banerjee, Naval Kishore Mehta, Shyam Sunder Prasad, Himanshu Kumar, Sumeet Saurav, Sanjay Singh
2024Generalized Pareto GAN: Generating Extremes of Distributions.
Jun Li, Dingcheng Li, Ping Li, Gennady Samorodnitsky
2024Generating Explanations for Model Incorrect Decisions via Hierarchical Optimization of Conceptual Sensitivity.
Lijun Gao, Zeyang Sun, Jiaxin Yan, Suran Wang, Youzhi Zhang, Xiao Jin
2024Generating Relevant Article Comments via Variational Multi-Layer Fusion.
Hanyi Zou, Huifang Xu, Qingchao Kong, Yilin Cao, Wenji Mao
2024Generating synthetic data using GANs fusion in the digital twins model for sonars.
Dawid Polap, Antoni Jaszcz, Katarzyna Prokop
2024Generative Adversarial Network-Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.
Jiaxin Bai, Erlei Zhang, Lei Yang, Xinyu Li, Shuyin Zhang
2024Generative Dual Representations Fusion Network for Document-level Event Argument Extraction.
Boyang Liu, Guozheng Rao, Li Zhang, Qing Cong, Xin Wang
2024Generative Spoken Language Modeling with Quantized Feature Enhancement.
Feiyu Duan, Chen Li, Keheng Wang, Si Wu, Chuantao Yin, Wenge Rong
2024Generative shape deformation with optimal transport using learned transformations.
Jorge Azorín López, Marc Sebban, Nahuel E. Garcia-D'Urso, Amaury Habrard, Andrés Fuster Guilló
2024Genetic Imitation Learning by Reward Extrapolation.
Boyuan Zheng, Jianlong Zhou, Jieping Ma, Fang Chen
2024Geometry-Aware Enhancement-Based Point Elimination with Overlapping Mask Learning for Partial Point Cloud Registration.
Yue Dai, Fucang Jia
2024Global Similarity Relocation Hashing for Unsupervised Cross-modal Retrieval.
Honghao Wu, Mingyong Li
2024Gradient Rotation Unit for Non-I.I.D. Federated Learning.
Jiachen Li, Yuchao Zhang, Yiping Li, Xiangyang Gong, Wendong Wang
2024Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network.
Gang Li, Cheng Zhang, Delong Han, Letian Gao, Mingle Zhou
2024Graph Attention Network with Cross-Modal Interaction for Rumor Detection.
Haibing Zhou, Zhong Qian, Peifeng Li, Qiaoming Zhu
2024Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation.
Jiaxin Zhuang, Yahui Chai, Xiaobin Rui, Zhixiao Wang
2024Graph Mining under Data scarcity.
Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho
2024Graph Self-Attention Residual Connection Neural Network for Session-Based Recommendation.
Senpeng Chen, Huan Li, Wenhong Wei, Ani Dong, Jie Zhao
2024Graph Structure Optimization using Simulated Annealing.
Dongdong Nian, Ercan Engin Kuruoglu
2024Graph Transformer Networks for Predicting Anti-HIV Active Molecules.
Zhaoyao Yan, Cangfeng Ding, Lerong Ma, Lu Cao
2024Graph Transformer: Anomaly Prediction and Interpretation in Multivariate Time Series.
Jing Li, Chang Liu, Jianli Ding
2024Graph-Based EEG Analysis for Parkinson's Disease Classification: A Residual Neural Network Approach.
Lucas de O. Santos, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho
2024Graph-based Dynamic Domain Selection for Dialogue State Tracking.
Shuangyong Song, Jinwei Zhang, Hao Huang, Hongyan Xie, Haoxiang Su, Mengxiang Li, Zhongjiang He, Yongxiang Li, Ruiyu Fang
2024Graph-enhanced Knowledge Transfer Learning for Fashion Sequential Recommendation.
Rucong Xu, Ming Li, Xin Liang, Yun Li
2024Ground-Guided Conditional Pixel Synthesizer for Height-based Satellite Imagery Super-Resolution.
Yang Xu, Kejie Huang, Chenggang Yan
2024Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks.
Zhenxiong Ye, Weiming Zeng, Yunhua Chen, Ling Zhang, Jinsheng Xiao, Irwin King
2024Grouped Federated Meta-Learning for Privacy-Preserving Rare Disease Diagnosis.
Xinru Song, Feng Wu, Zongchao Xie, Longxiang Gao, Lei Cui, Youyang Qu, Shujun Gu
2024Grouped Graph Neural Networks for Anomaly Detection in Time Series.
Ziyu Guo, Weiyang Kong, Yubao Liu
2024Growing NAS for Complex-Valued CNNs in Digital Predistortion Power Amplifier Applications.
Jiang Xiao, Yi Zhong, Yun Li
2024Guided Diffusion-based Adversarial Purification Model with Denoised Prior Constraint.
Xiyao Liu, Ting Yang, Jiaqi Li, Xi Li, Hui Fang
2024Guiding ChatGPT to Generate Salient Domain Summaries.
Jun Gao, Ziqiang Cao, Shaoyao Huang, Luozheng Qin, Chunhui Ai
2024HARTO: Human Activity Recognition Through Optical Flow Architecture.
Luis-Jesus Marhuenda, Francisco Gomez-Donoso, Miguel Cazorla
2024HDDA: Human-perception-centric Deepfake Detection Adapter.
Xiaorong Ma, Jiahe Tian, Yesheng Chai, Jiao Dai, Zhaoxing Li, Liangjun Zang, Jizhong Han
2024HE-ASR-IT: Hybrid Excitation and Adaptive Style Recombination for Unpaired Image-to-Image Translation.
Ziyi Wu, Juanjuan Luo, Mingxin Du, Shigang Li, Wenbin Yao, Zhibin Huang
2024HGSVerb: Improving Zero-shot Text Classification via Hierarchical Generative Semantic-Aware Verbalizer.
Zifeng Liu, Xu Huang, Weipeng Chen, Jin Liu
2024HGT: Transformer Architecture for Arbitrary Hypergraphs Based on P-Laplacian.
Jian Chen, Yibo Wang, Deming Zhang
2024HKFNet: Fine-Grained External Knowledge Fusion for Fact-Based Visual Question Answering.
Bojin Li, Yan Sun, Xue Chen, Xiangfeng Luo
2024HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer.
Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu
2024HL-HDR: Multi-Exposure High Dynamic Range Reconstruction with High-Low Frequency Decomposition.
Xiang Zhang, Genggeng Chen, Tao Hu, Kangzhen Yang, Fan Zhang, Qingsen Yan
2024HSD-YOLO: A Lightweight and Accurate Method for PCB Defect Detection.
Zhiyao Li, Aimin Li, Wenqiang Li, Xiaotong Kong, Yuechen Zhang
2024HWA-DETR: Pedestrian Detection Algorithm Based on High-Width Modulation Attention and Branch Decoupling Reparameters for Improving DETR.
Xudong Li, Jingzhi Zhang, Linghui Sun, Chengjie Bai, Xinyao Lv
2024HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction.
Yisheng Hu, Guitao Cao, Dawei Cheng
2024HZS-NAS: Neural Architecture Search with Hybrid Zero-Shot Proxy for Facial Expression Recognition.
Xiao Yang, Yun Liu, Jiyuan Liu, Yanan Sun
2024Halveformer: A Novel Architecture Combined with Linear Models for Long Sequences Time Series Forecasting.
Yuan Feng, Kai Xia, Xiaoyu Qu, Xuwei Hu, Long Sun, Zilong Zhang
2024HarD-CASDE: Segmentation And Lineage Tracking of HeLa Cells.
Fuyun He, Shengwen Chen, Huiling Feng, Guanglian Li
2024Harmonizing Tradition with Technology: Using AI in Traditional Music Preservation.
Tiexin Yu, Xinxia Wang, Xu Xiao, Rongshan Yu
2024HeRF: A Hierarchical Framework for Efficient and Extendable New View Synthesis.
Xiaoyan Yang, Dingbo Lu, Wenjie Liu, Ling You, Yang Li, Changbo Wang
2024HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling.
Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction.
Rewbenio A. Frota, Marley M. B. R. Vellasco, Guilherme A. Barreto, Candida Menezes de Jesus
2024Heterogeneous Augmentation Based Spatio-Temporal Graph Convolutional Network for Traffic Forecasting.
Hongyan Mao, Zhenyu Sun, Ning Qin
2024Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning.
Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi
2024Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.
Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan
2024HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System.
Zhisheng Zhang, Pengyang Huang
2024HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades.
Zhizhen Zhang, Xiaohui Xie, Yishuo Zhang, Lanshan Zhang, Yong Jiang
2024Hierarchical Differential Amplifier Contrastive Learning for Semi-supervised Extractive Summarization.
Jiankuo Li, Xuejie Zhang, Jin Wang, Shitong Cao, Xiaobing Zhou
2024Hierarchical Dynamic Graph Convolutional Network for Spatio-Temporal Forecasting.
Shuo Li, Baowen Xu, Xuelei Wang
2024Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.
Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh
2024Hierarchical Fusion Framework for Multimodal Dialogue Response Generation.
Qi Deng, Lijun Wu, Kaile Su, Wei Wu, Zhiyuan Li, Weiwei Duan
2024Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery.
Isaac Xu, Benjamin Misiuk, Scott C. Lowe, Martin Gillis, Thomas Trappenberg, Craig J. Brown
2024Hierarchical Mutual Information Analysis: Towards Multi-View Clustering in the Wild.
Jiatai Wang, Zhiwei Xu, Xuewen Yang, Xin Wang, Li Tao
2024Hierarchical federated learning based on ordinal patterns for detecting sedentary behavior.
Pedro H. Barros, Judy C. Guevara, Leandro Villas, Daniel L. Guidoni, Nelson L. S. da Fonseca, Heitor S. Ramos
2024Hierarchy-Aware Quaternion Embedding for Knowledge Graph Completion.
Qiuyu Liang, Weihua Wang, Jie Yu, Feilong Bao
2024High Frequency Feature Distillation Network for Compressive Sensing Reconstruction.
Fuma Kimishima, Jiayao Xu, Manato Shirai, Jinjia Zhou
2024High Resolution Face Privacy-Enhancing method based on Latent Optimization with Identity-Preserving Facial Masking.
Haoxuan Tai, Yang Zhang, Bofei Guo, Guibo Luo, Yuesheng Zhu
2024High-Level Attention Meta-Learner for Class Incremental Learning.
Yingjian Tian, Hongbo Wang, Xuhong Chen, Yuanhao Li
2024High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy.
Ricardo B. Lima Filho, Janayna M. Fernandes, Donghong Ji, Liang Zhao, Robinson Sabino-Silva, Murillo G. Carneiro
2024High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting.
Yuanpei Huang, Nanfeng Xiao
2024High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning.
Qichao Zhang, Xing Fang, Kaixuan Xu, Weixin Zhao, Haoran Li, Dongbin Zhao
2024Higher-order Semantic-aware Adaptive Graph Contrastive Learning.
Xianxian Li, Jiayue Zeng, Zhigang Sun, Li-e Wang
2024HiparaLog: Improving Log-based Anomaly Detection through Parameter Feature Integration.
Guangming Li, Jiaqing Mo, Gang Zhou, Cheng Li
2024Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning.
Xavier Tan, Han Yu
2024Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection.
Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu
2024House Layout Generation via Diffusion Model with Relative Room Area Ranking.
Junbin Xiang, Boyu Hou, Xuefeng Chen, Hongtuo Qi, Liang Feng, Jiepeng Liu, Xianneng Li
2024How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series.
Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen
2024How Powerful are Decoder-Only Transformer Neural Models?
Jesse Roberts
2024How SAM helps Unsupervised Video Object Segmentation?
Jiahe Yue, Runchu Zhang, Zhe Zhang, Ruixiang Zhao, Wu Lv, Jie Ma
2024How image distortions affect inference accuracy.
Petr Dvorácek
2024How to Design or Learn Prompt for Domain Adaptation?
Cheng Jin, Haiting Zheng, Hang Yu
2024Human Behavior Modeling in Speech Transcribing Process via Pretrained Speech Recognition Models.
Bao Thang Ta, Minh Khang Pham, Nhat Minh Le, Van Hai Do
2024Hybrid Focal and Full-Range Attention Based Graph Transformers.
Minhong Zhu, Zhenhao Zhao, Weiran Cai
2024HyperAggregation: Aggregating over Graph Edges with Hypernetworks.
Nicolas Lell, Ansgar Scherp
2024HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges.
Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2024HyperSR: A Hypernetwork Based Framework for Image Super-Resolution.
Divya Mishra, Ofek Finkelstein, Ofer Hadar
2024Hypergraph Neural Networks with Logic Clauses.
João Pedro Gandarela de Souza, Gerson Zaverucha, Artur S. d'Avila Garcez
2024Hysteretic Oscillator-Based Reservoir Computing for Audio Waveform Pattern Recognition.
Reiji Ota, Yuzuru Kato, Yuichi Katori
2024IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images.
Qiu Guan, Mengjie Pan, Feng Chen, Zhiqiang Yang, Zhongwen Yu, Qianwei Zhou, Haigen Hu
2024IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation.
Kebin Wu, Wenbin Li, Xiaofei Xiao
2024ISANE: An Interpretable Real-time News Event Evaluation Stock Prediction Model.
Weihong Wang, Zhixiao Yan, Zuxin Wang, Cheng Zhao
2024ISFP: Iterative Simultaneous Optical Flow Estimation and Interest Points Extraction Network.
Weiguang Chen, Jichao Jiao, Ben Ding
2024Identifying Bias in Data Collection: A Case Study on Drugs Distribution.
Claudia Sessa, Chiara Gallese, Fabrizio Schettini, Daniele Bellavia, Federica Asperti, Elena Falletti
2024Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining.
Isura Manchanayaka, Zainab R. Zaidi, Shanika Karunasekera, Christopher Leckie
2024Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning.
Tobias Nagel, Marco F. Huber
2024Identifying the Determinants of Infant and Youth Mortality in Portugal: a Machine Learning Approach.
Beatriz P. Lourenço, Miguel Santos Loureiro, Filipe Santos, Rodrigo M. M. Ventura, Ricardo Magalhães, Vera Dantas, Matilde Valente Rosa, Cristina Bárbara, João M. C. Sousa, Susana M. Vieira
2024Identity Semantic Correspondence for Cloth-Changing Person Re-Identification.
Yongtang Bao, Hao Zheng, Xiaolin Zhang, Kun Zhan, Peng Zhang
2024Image Anomaly Detection Based on Controllable Self-Augmentation.
Liujie Hua, Yichao Cao, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu
2024Image Caption Method from Coarse to Fine Based On Dual Encoder-Decoder Framework.
Zefeng Li, Yuehu Liu, Yonghong Song
2024Image Inpainting Network Combining Multi-granularity Discrimination and U-transformer.
Yun Wei, Lulu Wang, Hongquan Shan, Kaijun Wu
2024Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks.
Rongrong Ma, Guansong Pang, Ling Chen
2024Imbalanced Label Enhancement Based on Variational Information Bottleneck.
Anning Song, Chao Tan, Jiaxi Zhang, Zilong Xu
2024Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer.
Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
2024Implications of European By-Design Laws on Data-Driven System Design.
Amanda M. Horzyk
2024Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model.
Yijia Chen, Pinghua Chen, Xiangxin Zhou, Yingtie Lei, Ziyang Zhou, Mingxian Li
2024Implicit Neural Alignment Network for Arbitrary-scale Space-Time Video Super-Resolution.
Qin Jiang, Qinglin Wang, Lihua Chi, Jie Liu
2024Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks.
Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao
2024Importance-Aware Spatial-Temporal representation Learning for Gait Recognition.
Bohao Wei, Hefei Ling, Yuxuan Shi
2024Importance-Guided Sequential Training for Physics-Informed Neural Networks.
Xin Zhang, Nanxi Chen, Jiyan Qiu, Pengcheng Shi, Xuesong Wu, Wu Yuan
2024Improved Attributed Graph Clustering with Representation and Structure Augmentation.
Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang
2024Improved Communication and Collision-Avoidance in Dynamic Multi-Agent Path Finding.
Jing Xie, Yongjun Zhang, Qianying Ouyang, Huanhuan Yang, Fang Dong, Dianxi Shi, Songchang Jin
2024Improved Concentration Bound for CVaR.
Peng Sima, Hao Deng, Xuelin Zhang, Hong Chen
2024Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function.
Timo De Waele, Daniel Peralta, Eli De Poorter, Adnan Shahid
2024Improved YOLOv5 Object Detection Method for Cervical Fluid Cell Pathological Image Detection.
Qingyan Ding, Xuecheng Dong, Na Li, Yu Pan, Wan Zheng
2024Improvement of Low-Contrast Objective Detecting Capability for YOLOv5 Based on Receptive Field Enhancement and Redundant Feature Reuse.
Qingyu Xu, Jiguo Yu, Anming Dong
2024Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration.
Shuili Zhang, Hongzhang Mu, Tingwen Liu
2024Improving End-to-End Object Detection by Enhanced Attention.
Muyi Yan, Shaopeng Wang, Zeyu Lu
2024Improving End-to-End Speech Recognition Through Conditional Cross-Modal Knowledge Distillation with Language Model.
Yuan Li, Yonghe Wang, Feilong Bao, Zhenjie Gao, Guanglai Gao, WenJun Zhang
2024Improving Implicit Discourse Relation Recognition via Connective Prediction and Dependency-weighted Label Hierarchy.
Xianzhi Liu, Shaoru Guo, Juncai Li, Zhichao Yan, Xuefeng Su, Boxiang Ma, Yuzhi Wang, Ru Li
2024Improving Named Entity Recognition with Multi-Feature Word-to-Word Relationship Classification.
Liang Jiang
2024Improving OPT-GAN by Smooth Scale Mapping and Adaptive Exploration.
Bo Zhang, Lin Wang, Bo Yang
2024Improving Pointer Network based Dialogue State Tracking via Dual Hierarchical Selective Augmentation.
Shuangyong Song, Hongyan Xie, Haoxiang Su, Hao Huang, Mengxiang Li, Zhongjiang He, Yongxiang Li, Ruiyu Fang
2024Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting.
Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi
2024Improving Related Work Generation through Knowledge Aggregation from Citation Networks.
Kaixin Niu, Hongling Wang, Zhongqing Wang, Mengling Han
2024Improving Speech Emotion Recognition through Hierarchical Classification and Text Integration for Enhanced Emotional Analysis and Contextual Understanding.
Nawal Alqurashi, Yuhua Li, Kirill A. Sidorov
2024Improving Zero-Shot Coordination with Diversely Rewarded Partner Agents.
Peilin Wu, Zhenhua Yang, Peng Yang
2024Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space.
Jianbin Shen, Christy Jie Liang, Junyu Xuan
2024Improving the Performance of an Insect-Inspired Navigation Model Using Directional Selective Collision Detection.
Luyu Feng, Xuelong Sun, Qinbing Fu, Jigen Peng, Haiyang Li
2024Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification.
Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
2024Incremental Multi-view Clustering using Barycentric Coordinate Representation.
Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu
2024Incremental Soft Pruning to Get the Sparse Neural Network During Training.
Kehan Zhu, Fuyi Hu, Yuanbin Ding, Yunyun Dong, Ruxin Wang
2024Indoor Surveillance Robot with Person Following and Re-identification.
Snehasis Banerjee, Abhijit Kumar, Apoorv Shekhar
2024Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks.
Canlin Zhang, Xiuwen Liu
2024Industrial Surface Defect Detection via Multi-scale Mask Cross-layer Fusion Network.
Ziao Liu, Xuyang Li, Lin Zhao, Zhongquan Gao, Yu Zheng
2024Inexact Graph Representation Learning.
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono
2024Information Scaling Distillation Network for Lightweight Single Image Super-Resolution.
Tingrui Pei, Minghui Fan, Yanchun Li, Shujuan Tian, Haolin Liu
2024Infrared and Visible Image Fusion with Dual Decomposition Features.
Kaijun Wu, Haowen Wang, Xiaofeng Bai, Cao Yan, Bin Tian
2024Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation.
Lin Luo, Meng Wang, Jinshuo Liu, Jing Huang
2024Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4.
Bishwas Mandal, George T. Amariucai, Shuangqing Wei
2024Inpainting-Driven Mask Optimization for Object Removal.
Kodai Shimosato, Norimichi Ukita
2024Instance Fusion for Addressing Imbalanced Camera and Radar Data.
Haohui Zhu, Bin-Jie Hu, Zhao Chen
2024Instance-Level Data Augmentation for Multi-Person Pose Estimation: Improving Recognition of Individuals at Different Scales.
Yangqi Liu, Guodong Wang, Chenglizhao Chen
2024Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space.
Yuwei Sun, Hideya Ochiai, Jun Sakuma
2024Integrating Local & Global Features for Estimating Shortest-path Distance in Large-scale Graphs.
Haoyu Wang, Chun Yuan, Yuan Pu
2024Integrating Physiological Signals with Dynamical Attention Networks for Personality Trait Analysis.
Deepak Kumar, Pradeep Singh, Richa, Kishore Babu Nampalle, Balasubramanian Raman
2024Integrating Pretrained CNNs with One-Class Classifiers for Fault-Agnostic Electrical Submersible Pumps Anomaly Detection.
Nilo Garcia Monteiro, Luciano Henrique Peixoto da Silva, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos
2024Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation.
Bayram Bayramli, Yue Ding, Hongtao Lu
2024Integrating Social and Knowledge Graphs in GNN-Based Recommender Systems.
Zengyi Yu, Yonggu Wang, Mengfang Hu, Zihan Wang
2024Integrating Subjective and Objective Features for Image Aesthetics Assessment.
Haiyong Tang, Yihua Chen, Hanyun Zhang, Lv Chen, Ronghai Sun, Zhenjun Tang
2024Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning.
Yuwen Zeng, Xiaoyong Zhang, Kei Ichiji, Noriyasu Homma
2024Internal-External Information Enhanced Causal Reasoning.
Yucheng Yao, Fan Yang, Kaiyue Wang, Xiabing Zhou
2024International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024
2024Interpretability in Mapping Weeds and Crops from Drone Images.
Sonia Farhana Nimmy, Md Sarwar Kamal, Omar Khadeer Hussain, Ripon K. Chakrabortty
2024Interpretable Transformers for Alzheimer Disease Diagnosis on Multi-modal Data.
Md Sarwar Kamal, Sonia Farhana Nimmy
2024Introducing Intermediate Domains for Effective Self-Training during Test-Time.
Robert A. Marsden, Mario Döbler, Bin Yang
2024Intuitive UAV Operation: A Novel Dataset and Benchmark for Multi-Distance Gesture Recognition.
Zhenpeng Xu, Pan Sun, Yu Lu, Huilin Ge, Meng Li, Yingjian Qi
2024Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks.
Muhammad Kashif, Emman Sychiuco, Muhammad Shafique
2024Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa.
Jia Miao, Jianwu Lin, Tong Luo, Guangling Liu
2024Invisible Backdoor Attack against 3D Point Cloud by Optimized 3D Transformation.
Zou Ao, Yufeng Li
2024Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering.
Guanming Chen, Wenwen Qiang, Yuanxin Ouyang, Chuantao Yin, Zhang Xiong
2024Is Translation Helpful? An Exploration of Cross-Lingual Transfer in Low-Resource Dialog Generation.
Lei Shen, Shuai Yu, Xiaoyu Shen
2024Iterative Filter Pruning for Concatenation-based CNN Architectures.
Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
2024Iterative Stacking Regression for Materials Properties Prediction.
João António, Petia Georgieva
2024JH-Ranker: Enhancing Keigo Recognition in Japanese Sentences through Multi-Task Learning.
Shih-Wei Guo, Ya-Chun Wen, Jui-Ling Yu, Yao-Chung Fan
2024Joint Dynamic Role Switching Scheme and Cooperative Task Offloading Optimization for UAV Swarm-Enabled Edge Computing.
Kun Lu, Tao Xu, Mingchu Li, Zhihua Wang
2024Joint Extraction of Entities and Relationships from Cyber Threat Intelligence based on Task-specific Fourier Network.
Haiqing Lv, Xiaohui Han, Hui Cui, Peipei Wang, Wenbo Zuo, Yang Zhou
2024Joint Image and Feature Enhancement for Object Detection under Adverse Weather Conditions.
Mengyu Yin, Mingyang Ling, Kan Chang, Zijian Yuan, Qingpao Qin, Boning Chen
2024KD-VSUM: A Vision Guided Models for Multimodal Abstractive Summarization with Knowledge Distillation.
Zehong Zheng, Changlong Li, Wenxin Hu, Su Wang
2024KSAG-Net::Kernel-Size Attention Guidance Dual-Branch Network for Coronary Artery Segmentation.
Xiuquan Du, Weijian Gao
2024Kernel-based Infinite-dimensional Dimension Reduction for Functional Data.
Tian-Le Yang
2024Knowledge Distill for Spiking Neural Networks.
Xiubo Liang, Ge Chao, Mengjian Li, Yijun Zhao
2024Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme.
Jiayi Huang, Yuanyuan Zhang, Renwan Bi, Jiayin Lin, Jinbo Xiong
2024Knowledge Graph Enhanced Dynamic Multi-Graph Convolutional Network for Traffic Origin-Destination Forecasting.
Jipeng Qian, Suchi Li, Xin Fu
2024Knowledge Graph Information Bottleneck for Drug-Drug Interaction Prediction.
Shun Liu, Gaoqi He, Kai Zhang, Honglin Li
2024Knowledge-Guided Reinforcement Learning for Low-Resource Unsupervised Syllabification.
Wenjun Wang, Ling Dong, Zhengtao Yu, Yuxin Huang, Junjun Guo, Shengxiang Gao
2024Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine.
Yuanliang Li, Hanzheng Dai, Jun Yan
2024Knowledge-enhanced Multi-Granularity Interaction Network for Political Perspective Detection.
Xinming Chen, Xu Liu, Yuanxing Xu, Bin Wu, Yangfu Zhu
2024Knowledge-injected Stepwise Reasoning on Complex KBQA.
Xinyu Hu, Yang Jian, Gang Xiao
2024KnowledgeIE: Unifying Online-Offline Distillation based on Knowledge Inheritance and Evolution.
Yiqing Shen
2024Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection.
Thorben Markmann, Michiel Straat, Barbara Hammer
2024LACNER: Enhancing Few-Shot Named Entity Recognition with Label Words and Contrastive Learning.
Yuhui Xiao, Qun Yang, Jianjian Zou, Sichi Zhou
2024LCINet: Local Cross-position Interaction Network for Oracle Bone Inscriptions Recognition.
Qingyang Sun, Xiaoqing Zhang, Chenlu Gui, Hanxi Sun, Tingsheng Cai, Yan Hu, Jigen Tang, Jiang Liu
2024LDCFormer: A Lightweight Approach to Spectral Channel Image Recognition.
Xuanhao Qi, Min Zhi, Yanjun Yin, Xiangwei Ge, Qiaozhi Xu, Wentao Duan
2024LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues.
Mehdi Bahrami, Ryosuke Sonoda, Ramya Srinivasan
2024LLM-Driven "Coach-Athlete" Pretraining Framework for Complex Text-To-Motion Generation.
Jiajun Fu, Yuxing Long, Xiaojie Wang, Jianqin Yin
2024LLaVA-PlantDiag: Integrating Large-scale Vision-Language Abilities for Conversational Plant Pathology Diagnosis.
Karun Sharma, Vidushee Vats, Abhinendra Singh, Rahul Sahani, Deepak Rai, Ashok Sharma
2024LMGAN: A Progressive End-to-End Chinese Landscape Painting Generation Model.
Yingqian Zhang, Shaomin Xie, Xiangrong Liu, Nian Zhang
2024LNPT: Label-free Network Pruning and Training.
Jinying Xiao, Ping Li, Zhe Tang, Jie Nie
2024LP-DWLA-ViT: Light-Patch and Dynamic window local attention Vision Transformer network for Alzheimer's disease classification.
Bo Liu, Haozhen Xiang, Lingling Fang
2024LR-DiffText: Low Resolution Scene Text Detection Based on Diffusion Probabilistic Model.
Boyuan Chen, Zichen Dang
2024LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network.
Hanqian Li, Ruinan Zhang, Ye Pan, Junchi Ren, Fei Shen
2024LRER: A Low-Resource Entity Resolution Framework with Hybrid Information.
Ziyi Lian, Tiezheng Nie, Derong Shen, Yue Kou
2024LRGAN: Learnable Weighted Recurrent Generative Adversarial Network for End-to-End Shadow Generation.
Junsheng Xue, Hai Huang, Zhong Zhou, Shibiao Xu, Aoran Chen
2024LSvT: EEG Channel Localization and Selection via Training for BCI Applications.
Chun-Ming Huang, Wei-Lin Lai, Chih-Chyau Yang, Yi-Jie Hsieh, Chien-Ming Wu, Chu-Hui Lee
2024LaWNet: Audio-Visual Emotion Recognition by Listening and Watching.
Kailei Cheng, Lihua Tian, Chen Li
2024Label-Free Topic-Focused Summarization Using Query Augmentation.
Wenchuan Mu, Kwan Hui Lim
2024Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection.
Kairui Hu, Ming Yan, Wen Haw Chong, Yong Keong Yap, Cuntai Guan, Joey Tianyi Zhou, Ivor W. Tsang
2024Lane Detection Method Based on Deformable Linear Convolution.
Yuchang Zhu, Nanfeng Xiao
2024Language-agnostic Zero-Shot Machine Translation with Language-specific Modeling.
Xiao Chen, Chirui Zhang
2024Laparoscopic Video Desmoking With Mutually Attention-Guided Deformable Convolutional Networks and LBP Prior.
Chuangshi Ma, Congcong Wang, Meng Zhao
2024Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs.
Ke Han, Adrian Barbu
2024Large-Scale Synchronization Transients Serving as Neural Substrates of Consciousness.
Robert Kozma
2024Layer Dependent Artificial Representation and Selectivity of Model Neurons in the AlexNet Model Trained for Object Classification.
Nobuhiko Wagatsuma, Kazuma Ito, Akinori Hidaka
2024LeGalFormer: A Graph Representation Learning and Transformer-based Approach for Legal Similar Case Retrieval.
Shang Gao, Yanling Li, Fengpei Ge, Min Lin, Haiqing Yu, Sukun Wang, Zhongyi Miao
2024Leaky PPO: A Simple and Efficient RL Algorithm for Autonomous Vehicles.
Xinchen Han, Hossam Afifi, Hassine Moungla, Michel Marot
2024Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks.
Christoph Linse, Erhardt Barth, Thomas Martinetz
2024Learn from Noise: Detecting Deepfakes via Regional Noise Consistency.
Weiming Bai, Yufan Liu, Zhipeng Zhang, Xinyi Zhang, Bo Wang, Chengwei Peng, Weiming Hu, Bing Li
2024Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System.
Jiahao Sun, Yu Liu, Xianjie Zhang, Xiujuan Xu, Li Hong, Kai Wang
2024Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification.
Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert
2024Learned Measurement Interpolation for Scalable Compressive Sensing.
Manato Shirai, Fuma Kimishima, Jinjia Zhou, Ryugo Morita
2024Learning Choice Nuance for Multiple-Choice Commonsense Question Answering.
Dongyu Yang, Wenqing Deng, Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Hao Li
2024Learning Defendant-aware Label Representation for Multi-Defendant Charge Prediction.
Yu Chen, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang
2024Learning Energy-Based Models for 3D Human Pose Estimation.
Xianglu Zhu, Zhang Zhang, Wei Wang, Zilei Wang, Liang Wang
2024Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation.
Yimin Deng, Jianzong Wang, Xulong Zhang, Ning Cheng, Jing Xiao
2024Learning Frequency-Aware Representation For Low-light Image Enhancement.
Jinlong Wang, Xiongxin Tang
2024Learning Latent Variable for Logical Reasoning in Table-Based Fact Verification.
Jie Wu, Mengshu Hou
2024Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction.
Kuan-Hsuan Yung, Josh Jia-Ching Ying, Hui-Ting Lin, Vincent S. Tseng
2024Learning Meta Model for Strong Generalization Deepfake Detection.
Dezhou Huang, Yuqing Zhang
2024Learning Modality-Complementary and Eliminating-Redundancy Representations with Multi-Task Learning for Multimodal Sentiment Analysis.
Xiaowei Zhao, Xinyu Miao, Xiujuan Xu, Yu Liu, Yifei Cao
2024Learning Node Representations Under Partial Label Learning.
Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao
2024Learning Quantum Phase Estimation by Variational Quantum Circuits.
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin
2024Learning a Sparse Neural Network using IHT.
Saeed Damadi, Soroush Zolfaghari, Mahdi Rezaie, Jinglai Shen
2024Learning a Strategy for Preference Elicitation in Conversational Recommender Systems.
Aleksandra Makarova, Muhammad Shahzad, Xia Hong, Martin Lester
2024Learning feature bindings with EVSF-Network.
Yoshitsugu Kakemoto, Shinichi Nakasuka
2024Learning to Deliberate: Multi-pass Decoding for Document-Grounded Conversations.
Junyan Qiu, Yiping Yang
2024Learning to Program Variational Quantum Circuits with Fast Weights.
Samuel Yen-Chi Chen
2024Learning with Noisy Labels through Learnable Weighting and Centroid Similarity.
Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri
2024Learning with Noisy Labels: A Novel Meta Label Corrector without Clean Validation Data.
Kai Jiang, Bin Cao, Yuqi Liu, Jing Fan
2024Legal Document-Based, Domain-Driven Q&A System: LLMs in Perspective.
Felipe Oliveira do Espírito Santo, Sarajane Marques Peres, Givanildo de Sousa Gramacho, Anarosa Alves Franco Brandão, Fábio Gagliardi Cozman
2024Legal Judgment Prediction via Fine-Grained Element Graphs and External Knowledge.
Yao Guo, Yanling Li, Fengpei Ge, Haiqing Yu, Sukun Wang, Zhongyi Miao
2024LengthPath: The Length Reward of Knowledge Graph Reasoning Based on Deep Reinforcement Learning.
Xu Ling-Xiao, Feng Lin, Zi-Hao Li, Yue Ling, Shuai Qiu-Ping, Li Jie-Wei
2024Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention.
Xueyao Cui, Huiyan Jiang, Yang Zhou, Xianhua Han, Xuena Li, Yan Pei
2024Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection.
Xiaodong Wu, Hao Wu, Pei He
2024Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization.
Yupeng Wu, Tianxiang Hu, Ninglin Liao, Rui Xie, Minghui Zhang, Dongdong Du, Shujun Lin
2024Leveraging Intent Entity Enhancement for Task-Oriented Dialogue.
JiaLe Chen, Shunhao Li, Baoshuo Kan, Fu Lee Wang, Tianyong Hao
2024Leveraging Sample Complementarity: A Novel Ensemble Strategy.
Pin Xu, Yanyi Li, Yufei Han, Haoyuan Chen, Kuan Li, Jianping Yin
2024Leveraging the Power of Echo State Network for Enhanced Temporal Knowledge Graph Reasoning.
Yi Sun, Zhe Wang, Kewen Wang
2024Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net.
Kei Nakagawa, Kohei Hayashi
2024Lightweight DenseNet Model with A Hybrid Attention Mechanism and A Cross-Module Channel Reuse Strategy for Edge Computing.
Qun Liu, Junying Chen
2024Lightweight Gaze Estimation Model Via Fusion Global Information.
Zhang Cheng, Yanxia Wang
2024Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition.
Yimeng Zhang, Yang Yang, Xuehao Gao
2024Lightweight Super-Resolution for Chinese Scene Images Incorporating Textual Semantic Priors.
Zhouxin Lu, Ben Wang, Shuifa Sun, Yongheng Tang
2024LinWA:Linear Weights Attention for Time Series Forecasting.
Qiang Li, Jiwei Qin, Dezhi Sun, Fei Shi, Daishun Cui, Jiachen Xie
2024Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques.
Luan L. Santos, Natanael Nunes De Moura, Robson F. S. Dias
2024LoFT: LoRA-Based Efficient and Robust Fine-Tuning Framework for Adversarial Training.
Jiadong Fu, Jiang Fang, Jiyan Sun, Shangyuan Zhuang, Liru Geng, Yinlong Liu
2024LoRA-Enhanced Language Alignments for Robust Code-Mixed Text Representation.
Xuqiao Ran, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang
2024Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting.
Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera
2024Local-Fusion Attention and Semantic-Augmentation Attention for Named Entity Recognition.
Zhouyang Liu, Liang Zhu, Xin Song, Huiting Yuan
2024Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations.
Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer
2024Location IoU: A New Evaluation and Loss for Bounding Box Regression in Object Detection.
Lu Yang, Kai Zhang, Jiaqi Liu, Chongke Bi
2024Location-aware Fashion Attribute Recognition and Retrieval.
Gaurab Bhattacharya, Vivek B. S., P. Rajith Bhargav, Jayavardhana Gubbi, Bagya Lakshmi V, Arpan Pal
2024Log anomaly detection based on parallel fusion of CNN and GRU.
Cheng Li, Jiaqing Mo, Gang Zhou, Guangming Li
2024LogTIW:A log anomaly detection model based on TF-IDF weighted semantic features.
Jia Kang, Junfeng Zhao, Zhengxin Li
2024Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation.
Xiyun Li, Tielin Zhang, Chenghao Liu, Linghui Meng, Bo Xu
2024Long and Short-Term User Intent Learning for Sequence Recommendation.
Zhiwei Zhang, Fuzhen Sun, Pengcheng Li, Wenxuan Zhang, Shaoqing Wang, Tianhui Wu
2024Look and Review, Then Tell: Generate More Coherent Paragraphs from Images by Fusing Visual and Textual Information.
Zhen Yang, Hongxia Zhao, Ping Jian
2024Low-Latency Deep Learning Inference Schedule on Multi-Core MCU.
Chaonong Xu, Min Liu, Chao Li, Weiming Kong
2024Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder.
Maira Farias Andrade Lira, Elias Amancio Siqueira-Filho, Ricardo B. C. Prudêncio
2024Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation.
Ruixin Shi, Weijia Guo, Shiming Ge
2024Low-power event-based face detection with asynchronous neuromorphic hardware.
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef
2024Lying Graph Convolution: Learning to Lie for Node Classification Tasks.
Daniele Castellana
2024M2KD: Multi-Teacher Multi-Modal Knowledge Distillation for Aerial View Object Classification.
Zhen Lan, Zixing Li, Chao Yan, Xiaojia Xiang, Dengqing Tang, Han Zhou
2024MAFNet: Multi-domain Features Attention-Based Fusion Network for Cross-Subject Motor Imagery Classification.
Yu Hong, Xinhua Zeng, Feng Wu, Jingjing Wang
2024MAGAT-HOS: A Multi-Attention Graph Neural Network for Fake Review Detection by Incorporating High-Order Semantic Information.
Yuanshuai Yao, Lirong Chen, Dongsong Zhang, Liuyang Qin
2024MAGC-YOLO:Small Object Detection in Remote Sensing Images based on Multi-scale Attention and Graph Convolution.
Jianquan Ouyang, Lingtao Zeng
2024MAHFF: An Underwater Image Enhancement Method Based on Multi-scale Attention Hybrid Feature Fusion.
Xinxin Zhou, Yuning Huang, Yucai Li, Xinyue Li
2024MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion.
Pengcheng Li, Jianzong Wang, Xulong Zhang, Yong Zhang, Jing Xiao, Ning Cheng
2024MALT: Multi-scale Action Learning Transformer for Online Action Detection.
Zhipeng Yang, Ruoyu Wang, Yang Tan, Liping Xie
2024MARKS-mech: A Mask-based Prior Knowledge Dissemination Mechanism for including Discourse Relations for Sentiment Classification.
Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek, Asef Nazari, Dhananjay R. Thiruvady
2024MCAF: Multi-Headed Causal Attention Fusion Approach for Multimodal Sentiment Analysis.
Qingao Wang, Xingang Wang, Jinxiao Yang, Yurun Bi
2024MCF: Multi-scale Context Fusion for Strip Steel Surface Detection.
Jing Hu, Wei Chen, Lei Zhao
2024MD2VO: Enhancing Monocular Visual Odometry through Minimum Depth Difference.
Pengzhi Li, Chengshuai Tang, Yifu Duan, Zhiheng Li
2024MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization.
Yanfeng Jiang, Ning Sun, Zhengxian Lu, Shuang Peng, Yi Zhang, Fei Yang, Tao Li
2024MFASleepNet: Multi-view fusion attention-based deep neural network for automatic sleep staging.
Zhoujie Hou, Jiahui Pan, Yuanqing Li
2024MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.
Yingchao Long, Weihao Yu, Jin Huang, Tinghua Zhang, Nanhui Lai
2024MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning.
Xingyu Li, Bo Tang
2024MGSTA : Meta Learning Based Graph Convolutional Stacked Temporal Attention Neural Network for Traffic Flow Forecasting.
Na Li, Shengjie Zhao, Yushan Feng, Fengxia Han
2024MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer.
Yifang Xu, Yunzhuo Sun, Benxiang Zhai, Youyao Jia, Sidan Du
2024MI-GNN: Multi-Interaction GNN for Various Weak Information Learning on Graphs.
Bowen Qiang, Yun Zhou, Huahu Xu, Jiangang Shi, James Lin, Yiqin Gao
2024MKCBlock: Multi Kernel Convolution with Eliminating Dimension Expansion for Real-Time Semantic Segmentation.
Decheng Jia, Dongyu Zhang
2024MLAAD: The Multi-Language Audio Anti-Spoofing Dataset.
Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
2024MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines.
Hesam Jalalian, Rafael M. O. Cruz
2024MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting.
Yifan Yang, Mahmood R. Azimi-Sadjadi, Saideep Tiku, Sudeep Pasricha
2024MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery.
Xingfu Li, Bangchao Wang, Hongyan Wan, Yuanbang Li, Han Jiang, Yang Deng, Zhiyuan Zou
2024MMCasN: Macroscopic and microscopic properties fusion for predicting information cascades.
Hongyun Cai, Chuan Feng, Ao Zhao, Xun Li
2024MMFENet:Multi-Modal Feature Enhancement Network with Transformer for Human-Object Interaction Detection.
Peng Wang, Wenhao Yang, Zhicheng Zhao, Fei Su
2024MMFI-Net: Multilevel Multimodal Feature Injection Network for Infrared and Visible Image Fusion.
Rundong Du, Jinyong Cheng, Huixuan Zhao, Ying Guo
2024MMR: Multi-scale Motion Retargeting between Skeleton-agnostic Characters.
Haoyu Wang, Shaoli Huang, Fang Zhao, Chun Yuan
2024MMTS: Multi-Modal Time Series Based Decision Support System for Ventilator Associated Pneumonia.
Nikki Tiwari, Kolin Paul, Shrawan Kumar Raut, Animesh Ray, Surabhi Vyas, Naveet Wig
2024MOA-Net: Multilevel Object Aware Network for Remote Sensing Image Semantic Segmentation.
Yuhan Chen, Yun Wu, Jiahua Wu, Da-Han Wang, Yifan He
2024MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting.
Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie
2024MPFormer: Dynamic Traffic Spatial-Temporal Features Forecasting With Multi-Perspective Attentions.
Haobo Zhang, Qianqian Ren, Zilong Li
2024MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards.
Yuming Huang, Bin Ren, Ziming Xu, Lianghong Wu
2024MRUIE: Multi-Reference Mapping for Underwater Image Enhancement.
Tonglin Cheng, Juan Li, Jintao Luo, Zhihui Li
2024MSCNet: Multi-Scale Connected Network for Image Denoising.
Lijun Gao, Xiao Jin, Youzhi Zhang, Suran Wang, Zeyang Sun
2024MSGFusion: Muti-scale Semantic Guided LiDAR-Camera Fusion for 3D Object Detection.
Huming Zhu, Yiyu Xue, Xinyue Cheng, Biao Hou
2024MSGIM: A Multi-grained Syntactic Graph Interaction Model for Multi-intent Spoken Language Understanding.
Yikai Zheng, Bi Zeng, Yujun Zhu, Pengfei Wei
2024MSMFNet: Multi-Modal Fusion Gesture Recognition Network with Multi-Scale Integration of AUS and sEMG.
Jiayu Pan, Jiacheng Chen, Sheng Wei, Jie Pan, Zheng Wang
2024MSSP: A Multi-view Benchmark for Street Scene Perception in Assistive Navigation.
Yang Di, Son Lam Phung, Abdesselam Bouzerdoum
2024MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning.
Rongkun Ye, Zhiqiang Lv, Zhihao Xu, Jianbo Li
2024MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI.
Francesco Ceccarelli, Francesco Prinzi, Pietro Liò, Salvatore Vitabile, Sean B. Holden
2024MVMSFN: A Multi-View and Multi-Scale Fusion Network for Online Detection of Heterogeneous Gestures.
Hao Long, Song Wang, Hao Hu, Yanru Wang, Hao Xu, Hesong Wang
2024Machine Learning and IoT for Predicting the Productivity of MRI Equipment.
Péricles B. C. Miranda, Leonardo Monte, André C. A. Nascimento, Márcio P. Basgalupp, José Leovigildo Coelho
2024Machine Learning-based Spectrum Allocation using Cognitive Radio Networks.
Haitham H. Mahmoud, Tobi Baiyekusi, Umar Daraz, De Mi, Ziming He, Chen Lu, Mingxiang Guan, Ziwei Wang, Feng Chen
2024Malaria Parasite Detection in Microscopic Blood Smear Images Using Deep Learning Techniques.
Rosmaël Zidane Lekeufack Foulefack, Andronicus Ayobami Akinyelu, Dinna Ranirina, Berthine Nyunga Mpinda
2024Manufacturing Domain QA with Integrated Term Enhanced RAG.
Yijun Bei, Zhibin Fang, Shenyu Mao, Shuyi Yu, Yan Jiang, Yining Tong, Weimin Cai
2024Mask Consistency and Contrast Regularization for Prompt-Based Learning.
Jen-Tzung Chien, Chien-Ching Chen
2024Mask Focal Modulation Network for Gastric Intestinal Metaplasia Segmentation.
Yu-Ting Chen, Er-Hsiang Yang, Wei-Lun Chang, Jason Lin, Hsiu-Chi Cheng, Chun-Rong Huang
2024Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
2024Masked Dual Graph Autoencoder for Attributed Graph Community Detection.
Mingjiao Li, Xing Chu, Miao Luo, Haiyang Zhao, Hanxing Jiang
2024Masked EEG Modeling for Driving Intention Prediction.
Jinzhao Zhou, Justin Sia, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin
2024Masked Multi-Query Slot Attention for Unsupervised Object Discovery.
Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli
2024Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines.
Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudêncio, Ana Carolina Lorena
2024Measuring hallucination in disentangled representations.
Hamed Benazha, Stéphane Ayache, Hachem Kadri, Thierry Artières
2024MediSight FusionNet: A General Medical Deep Learning Model for Myopic Maculopathy Classification.
Xuhao Pan, Yuan Meng, Keying Ding
2024MemoTiChat: A Memory-Augmented Time-Sensitive Model for Ultra-Long Video Understanding.
Jianlong Hou, Tao Tao, Jibin Wang, Zhuo Chen, Xuelian Ding, Kai Wang
2024Memory Coordinated Cross Perception for Few-Shot Object Detection.
Chenghao Huang, Hong Liu, Yunfeng Kou, Hu Chen, Wenchao Du
2024Memory-facilitated Joint-space Shift Adaptation in Traffic Forecasting.
Ye Wei, He Haitao, Gerald Schaefer, Zhigang Ji, Yifan Wang, Hui Fang
2024Meta-Learning and Novelty Detection for Machine Learning with Reject Option.
Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2024MetaClusterFL: Personalized Federated Learning on Non-IID data with Meta-learning and Clustering.
Hui Zeng, Shiyu Xiong, Hongzhou Shi
2024MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation.
Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu
2024MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems.
Leyao Zhang, Yuliang Shi, Kaiyuan Qi, Dong Wu, Xinjun Wang, Zhongmin Yan, Zhiyong Chen
2024Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification.
Zimeng Lyu, Pujan Thapa, Travis Desell
2024Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images.
Yuhao Wang, Lifan Yao, Xinye Zhang, Jiayun Song, Haopeng Zhang
2024Mitigating Hallucination Issues in Small-Parameter LLMs through Inter-Layer Contrastive Decoding.
Fan Li, Xiaofeng Zhang, Peng Zhang
2024Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction.
Xianjie Mo, Yang Xiang, Youcheng Pan, Yongshuai Hou, Ping Luo
2024Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation.
Jiawei Liu, Min Huang, Qinghai Miao
2024Mitigating the Curse of Dimensionality in Heart-Disease Risk Prediction Through the Use of Different Feature-Engineering Techniques.
Sushree Chinmayee Patra, B. Uma Maheswari, Rocío Pérez de Prado
2024MixDehazeNet: Mix Structure Block For Image Dehazing Network.
Liping Lu, Qian Xiong, BingRong Xu, Duanfeng Chu
2024Mixed Degradation Image Restoration via Deep Image Prior Empowered by Deep Denoising Engine.
Weimin Yuan, Yinuo Wang, Ning Li, Cai Meng, Xiangzhi Bai
2024MoNet: A Mixture of Experts Solution for Multilingual and Low-Resource ASR Challenges.
Yongchao Li, Lixu Sun, Yineng Cai, Nurmemet Yolwas
2024Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data.
Yuta Sumiya, Hayaru Shouno
2024Modeling Logical Content and Pattern Information for Contextual Reasoning.
Peiqi Guo, Ping Jian, Xuewen Shi
2024Modeling Sentiment-Speaker-Dependency for Emotion Recognition in Conversation.
Lin Ge, Faliang Huang, Qi Li, Yihua Ye
2024Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.
Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song
2024Modelling Graph Neural Network by Aggregating the Activation Maps of Self-Organizing Map.
Luan V. C. Martins, Donghong Ji, Liang Zhao
2024Modular Method for Embodied Instruction Following with Environmental Context Adaptation.
Zhuoqun Xu, Liubo Ouyang, Yang Liu, Li Zhang
2024Molecular Classification Using Hyperdimensional Graph Classification.
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2024More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation.
Nico Catalano, Alessandro Maranelli, Agnese Chiatti, Matteo Matteucci
2024Motion Part-Level Interpolation and Manipulation over Automatic Symbolic Labanotation Annotation.
Junkun Jiang, Ho Yin Au, Jie Chen, Jingyu Xiang, Mingyuan Chen
2024Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning.
Jingzehua Xu, Yimian Ding, Zekai Zhang, Guanwen Xie, Ziyuan Wang, Yongming Zeng, Gang Li
2024Multi-Agent Self-Motivated Learning via Role Representation.
Yuchao Jin, Quan Liu
2024Multi-Attention-based Global 3D ResNet for Alzheimer's Disease Diagnosis.
Yaozu Li, Yueheng Zhang, Jinfeng Wu, Xiaoshuang Zhang, Lili Han, Xinchun Cui
2024Multi-Attribute Dynamic Learning for 3D Face Reconstruction and Dense Alignment in the Unconstrained Environment.
Lei Li, Fuqiang Liu, Qi Wang, Jiahao Li, Junyuan Wang, Xiang Li, Yanni Wang
2024Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification.
Zhenhua Chen, Xinze Zhang, Kun He
2024Multi-Channel Graph Fusion Representation for Tabular Data Imputation.
Na Yu, Ke Xu, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song
2024Multi-Dimensional Attention on Cost Volume for Stereo Matching.
Zhou Jiale, Wenqin Huang, Qingmin Liao, Zongqing Lu, Xiaoqian Liu
2024Multi-Faceted Negative Sample Mining for Grpah Contrastive Learning.
Siyu Liu, Ziqi Wang, Jiale Xu, Huan Li, Jiamin Sun, Ya Li
2024Multi-Granularity Dual-Aware Contrastive Learning for Few-shot Named Entity Recognition.
Boxiang Ma, Changzheng Wang, Shaoru Guo, Xuefeng Su, Zhichao Yan, Yue Zhang, Wenyuan Shao, Zezheng Zhang, Ru Li
2024Multi-Involution Memory Network for Unsupervised Video Object Segmentation.
Jialing Lin, Bo Li
2024Multi-Modal Fake News Detection Based on Image Captions.
Yadong Gu, Askar Hamdulla, Mijit Ablimit
2024Multi-Modal Transformer with Skeleton and Text for Action Recognition.
Lijuan Zhou, Xuri Jiao
2024Multi-Model Consistency for LLMs' Evaluation.
Qinrui Zhu, Derui Lyu, Xi Fan, Xiangyu Wang, Qiang Tu, Yibin Zhan, Huanhuan Chen
2024Multi-Object Tracking with Partial-Level Features and Adaptive Threshold Mechanism.
Lingjie Kong, Xiaopeng Hu, Fan Wang
2024Multi-Objective Molecular Design in Constrained Latent Space.
Yiwei Liu, Yiping Liu, Jiahao Yang, Xinyi Zhang, Li Wang, Xiangxiang Zeng
2024Multi-Objective Optimization for Sparse Deep Multi-Task Learning.
Sèdjro Salomon Hotegni, Manuel Berkemeier, Sebastian Peitz
2024Multi-Organ Segmentation Based on Multi-Granularity Prototype Learning.
Jiahai Su, Changjian Wang, Fengyu Tian, Shimin Tang, Hongjun He, Li Luo
2024Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction.
Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu
2024Multi-Scale Image Stitching Based on Unsupervised Controllable Fusion Structure.
Yixuan Li, Wangbo Yu, Yuesheng Zhu, Guibo Luo
2024Multi-Scale Temporal Relations and Segmented Channel Attention for Video Anomaly Detection.
Yi Sun, Xiushan Nie, Bryan W. Scotney, Shuai Zhang, Xingbo Liu
2024Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning.
Xiaoli Tang, Han Yu
2024Multi-Target NeuralLss Regression with Learned Confidence Space.
Yuchen Lu, Yuanqi He, Guan Wang, Chunlong Fang, Ziyao Sun
2024Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection.
Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick
2024Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator.
Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros
2024Multi-View Contrastive Parsing Network for Emotion Recognition in Multi-Party Conversations.
Yunhe Xie, Chengjie Sun, Bingquan Liu, Zhenzhou Ji
2024Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.
Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang
2024Multi-agent Exploration with Sub-state Entropy Estimation.
Jian Tao, Yangkun Chen, Yang Zhang, Kai Yang, Xiu Li
2024Multi-attribute Semantic Adversarial Attack Based on Cross-layer Interpolation for Face Recognition.
Ruizhong Du, Yidan Li, Mingyue Li, Jinjia Peng, Yuting Zhu, Caixia Ma
2024Multi-axis frequency domain residual UNet for pore identification in deep shale scanning electron microscopy images.
Xingpeng Zhang, Zheng Li, Bin Xiao, Bing Wang
2024Multi-dimensional Search with Strip Convolution and R-Squared Loss for Lane Detection.
Zijun Lin, Peng Ye, Tao Chen, Shengji Tang
2024Multi-layer Cortical Learning Algorithm for Forecasting Time-series Data with Smoothly Changing Variation Patterns.
Kazushi Fujino, Keiki Takadama, Hiroyuki Sato
2024Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering.
Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang
2024Multi-masks and Bi-spaces Reconstruction based Single-Layer Auto-encoder for Heterogeneous Graph Representation Learning.
Pei Zhang, Lihua Zhou, Lizhen Wang, Hongmei Chen, Qing Xiao
2024Multi-neighborhood Aggregation Network and Multi-level Contrastive Learning for Knowledgeaware Recommendation.
Yupeng Wu, Wen Zhao
2024Multi-scale Feature Learning with Graph Attention Network for Face Forgery Detection.
Yanqun Su, Weiguo Lin, Junfeng Xu, Xintao Liu
2024Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification.
Panpan Yang, Ziming Wang, Huajin Tang, Rui Yan
2024Multi-similarity clustering algorithm by ordered pair of normalized real numbers.
Hui Zhang, Haoyang Cui, Zhijing Yang, Chunming Yang, Bo Li, Yi Yang
2024Multi-task Prompt Words Learning for Social Media Content Generation.
Haochen Xue, Chong Zhang, Chenzhi Liu, Fangyu Wu, Xiaobo Jin
2024Multi-task and continual-learning capabilities of reservoir computing applied to speech recognition.
Masahiko Ando, Sanato Nagata, Tadashi Okumura
2024Multi-view Clustering Network Based on Contrastive Learning and CycleGAN.
Xutianhao Wang, Xiaoli Sun, Xiujun Zhang
2024Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures.
Keiji Tatsumi, Satoshi Maruyama, Yeboon Yun
2024Multicriteria Model-Agnostic Counterfactual Explainability for Classifiers.
Pedro J. Zufiria, Ignacio Fernández-Sánchez-Pascuala, Cristian R. Rojas
2024Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution.
Md Sazzad Hossen, Avimanyu Sahoo, Huaxia Wang
2024Multilevel Temporal-Spectral Fusion Network for Multivariate Time Series Classification.
Xulin Huang, Shizhe Ding, Xinru Zhang, Jingyan Sui, Yue Yu, Dongbo Bu
2024Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages.
Xulang Zhang, Rui Mao, Erik Cambria
2024Multimodal Feature Enhancement Plugin for Action Recognition.
Qingmeng Zhu, Yanan He, Zhipeng Yu, Yukai Lu, Hao He
2024Multimodal Fusion Strategies for Emotion Recognition.
David Ortiz-Perez, Manuel Benavent-Lledó, David Mulero-Pérez, David Tomás, José García Rodríguez
2024Multimodal Rumor Detection via Multimodal Prompt Learning.
Fan Chen, Xiuhong Li, Zhe Li, Chenyu Zhou, Jiabao Sheng
2024Multimodal Sentiment Analysis via Low-Rank Tensor Attention Network with Unimodal Self-Supervised Learning.
Linghui Sun, Chaoqun Zhao, Xudong Li, Chengjie Bai, Jie Pan
2024Multimodal Video Highlight Detection with Noise-Robust Learning.
Yinhui Jiang, Sihui Luo, Lijun Guo, Rong Zhang
2024Multimodal aspect-category sentiment analysis based on multi-level information.
Xiaoning Wang, Tao Zhou, Xiaoling Lu
2024Multiple Instance Learning with Fine-grained Causal Intervention for Histopathological Diagnosis.
Xueru Song
2024Multiple Perspectives Analysis for Document-Level Relation Extraction.
Guangxin Zhang
2024Multiple Query-based Multi-omics Fusion Algorithm for Cancer Classification and Metastasis Prediction.
Xin Chen, Yun Tie, Fenghui Liu, Lin Qi
2024Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification.
Linhai Xie, Yilei Man, Delong Shang
2024Multivariate Long Sequence Time Series Forecasting Based on Robust Spatiotemporal Attention.
Dandan Zhang, Zhiqiang Zhang, Yun Wang
2024Multiview Consistent Physical Adversarial Camouflage Generation through Semantic Guidance.
Heran Zhu, Dazhong Rong
2024Muscle Synergy Analysis under the Constraint of Connectivity between Brain and Muscle Activity.
Takashi Isezaki, Michiaki Suzuki, Kengo Okitsu, Yukio Koike, Yukio Nishimura
2024Music-driven Character Dance Video Generation based on Pre-trained Diffusion Model.
Jiayu Xu, Changhong Liu, Juan Cai, Ji Ye, Zhenchun Lei, Aiwen Jiang
2024Mutual Information-Based Counterfactuals for Fair Graph Neural Networks.
Long Chen, Wenzhuo Chen, Jiayi Li, Jiahui Yu
2024Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching.
Frank Cally A. Tabuco, Prospero C. Naval
2024NAS-SW: Efficient Neural Architecture Search with Stage-Wise Search Strategy.
Jikun Nie, Yeming Yang, Qingling Zhu, Qiuzhen Lin
2024NBWAB: A Model for Text Sentiment Analysis With BERT and ChatGPT.
Xiaolei Wang, HongYun Huang, Zuohua Ding
2024NCSE: Neighbor Contrastive Learning for Unsupervised Sentence Embeddings.
Zhengfeng Zhang, Peichao Lai, Ruiqing Wang, Feiyang Ye, Yilei Wang
2024NFE-Net: Detection and Segmentation of Thyroid Nodules in Ultrasound Images Based on Nodule Feature Enhanced.
Zhaoxin Long, Xing Wu, Supeng Yin, Chengliang Wang, Haidong Wang, Peng Wang, Hongqian Wang
2024NRAdapt: Noise-Robust Adaptive Text to Speech Using Untranscribed Data.
Ming Cheng, Shun Lei, Dongyang Dai, Zhiyong Wu, Dading Chong
2024NeIF: Generalizable Illumination Neural Radiance Fields with Implicit Feature Volume.
Qingyao Meng, Luoyuan Xu, Daying Lu
2024NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.
Qiangqiang Xiang, Jing Xiao, Weihao Yu, Tinghua Zhang, Jin Huang, Zhixiong Mo
2024Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices.
Pontus Lidholm, Tijana Markovic, Miguel Leon, Per Erik Strandberg
2024Neural Architecture Search based on Brain Storm Optimization Algorithm for Face Detection.
Tian Zhang, Nan Li, Haidong Kang, Jianing Liu, Hongjiang Wang, Lianbo Ma
2024Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks.
Katarzyna Michalowska, Somdatta Goswami, George Em Karniadakis, Signe Riemer-Sørensen
2024Neural fractional order PID controller embedded in an 8-bit microcontroller for neonatal incubator.
Igor Rocha de Sousa, Guilherme A. Barreto
2024Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning.
Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma
2024Neuroscience-Informed Interpretability of Intermediate Layers in Artificial Neural Networks.
Oziel Cortés Piña, Adolfo A. Villegas-Jimenéz, Fernando Aguilar-Canto, Omar Juárez-Gambino, Hiram Calvo
2024New-Design Orthotic Footwear for Tactile Stimulation: A Pilot Study on Two Distinct Stimuli.
Wachirayongyot Thimabut, Natapatchakrid Thimabut, Liang Peng, Zeng-Guang Hou
2024News Topic Sentence Generation Based on Two-stage Summarization.
Jingwen Lin, Shunan Zang, Taoyu Su, Chuang Zhang, Tingwen Liu
2024NextSeg: Automatic COVID-19 Lung Infection Segmentation from CT Images Based on Next-ViT.
Aimei Dong, Ruixin Wang, Xuening Zhang, Jian Liu
2024No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation.
Philip Kenneweg, Tristan Kenneweg, Fabian Fumagalli, Barbara Hammer
2024Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2024Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification.
Zhilong Xiong, Jia Cai, Ranhui Yan, Xiaolin Huang
2024Noise Weighting Phased Prompt Image Editing.
Guowei Xu, Zihan Zhong, Chun Yuan
2024Noise-Aware Person Re-identification via Local Uncertainty Estimation.
Chunli Song, Yucan Zhou, Wenqiu Zhu, Jiang Zhou, Xiaoyan Gu, Bo Li
2024Nonlinear Correct and Smooth for Semi-Supervised Learning.
Yuanhang Shao, Xiuwen Liu
2024Nonlinearity Enhancement in Spin-Wave Reservoir Computing with the Utilization of Coexisting Magnetostatic Modes.
Zhuocheng Yang, Jiaxuan Chen, Akira Hirose
2024Novel Category Discovery Across Domains with Contrastive Learning and Adaptive Classifier.
Shengyuan Yu, Yangyang Huang, Tianwen Yang, Jinhao Lin, Ronghua Luo
2024Novel Design Ideas that Improve Video-Understanding Networks with Transformers.
Yaxin Hu, Erhardt Barth
2024OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.
Zhengxian Lu, Chengkun Du, Xueshuo Xie, Qiankun Dong, Cheng Gong, Tao Li
2024OB-YOLO: A UAV Image Detection Model for Reducing Computational Resource Consumption.
Rui Liu, Yuan Zhu, Yanqiang Wang, Zhecong Xing
2024OCDIB: An Information Bottleneck-Guided Approach for Overlapping Community Detection.
Moli Lu, Linhao Luo, Xiaofeng Zhang
2024OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection.
Haoyu Jiang, Haiyang Yu, Nan Li, Ping Yi
2024OFA
Rafael C. Ito, Emely Pujólli da Silva, Fernando J. Von Zuben
2024OSAgent: Copiloting Operating System with LLM-based Agent.
Jiaming Xu, Kaibin Guo, Wuxuan Gong, Runyu Shi
2024OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video.
Anurag Pandey, PushapDeep Singh, Arnav Bhavsar, Aditya Nigam, Divya Acharya
2024Object Detection in Transitional Weather Conditions for Autonomous Vehicles.
Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan
2024Object-aided Generative Adversarial Networks for Remote Sensing Image Generation.
Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024Observation-Time-Action Deep Stacking Strategy: Solving Partial Observability Problems with Visual Input.
Keyang Jiang, Qiang Wang, Yahao Xu, Hongbin Deng
2024Occlusion-Aware Visual-Language Model for Occluded Facial Expression Recognition.
Ding Wang, Yu Gu, Liang Luo, Fuji Ren
2024Offline Textual Adversarial Attacks against Large Language Models.
Huijun Liu, Bin Ji, Jie Yu, Shasha Li, Jun Ma, Miaomiao Li, Xi Wang
2024Offloading DNN Tasks Based on Graph Reinforcement Learning in Client-Edge-Cloud Environment.
Mingchu Li, Junhao Huang, Zhihua Wang
2024Olfactory Paradigm for Reactive Brain-Computer Interface: EEG Response Spatial Visualization and Clustering.
Hubert Kasprzak, Nina Niewinska, Tomasz Komendzinski, Mihoko Otake-Matsuura, Tomasz M. Rutkowski
2024On Design Choices in Similarity-Preserving Sparse Randomized Embeddings.
Denis Kleyko, Dmitri A. Rachkovskij
2024On Prediction Feature Assignment in the Heckman Selection Model.
Huy Mai, Xintao Wu
2024One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks.
Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira, Rodrigo C. Barros
2024One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation.
Yiwei Fu, Weizhong Yan
2024One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling.
Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024One-Shot Domain Incremental Learning.
Yasushi Esaki, Satoshi Koide, Takuro Kutsuna
2024One-shot Hierarchical Global Pruning via Channel Relation-aware Attention.
Yifan Xue, Wangshu Yao, Siyuan Peng, Siyu Yang, Keyu Zhou
2024OneSpike: Ultra-low latency spiking neural networks.
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024Online Action Detection by Long Short-term Transformer with Query Exemplars - transformer.
Honglei Zhang, Yijing Guo, Xiaofu Du
2024Online Class-incremental Continual Learning with Maximum Entropy Memory Update.
Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang
2024Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights.
Janio Lima, Lucas Giusti Tavares, Esther Pacitti, João Eduardo Ferreira, Ismael Santos, Isabela Guimarães Siqueira, Diego Carvalho, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara
2024Online Policy Distillation with Decision-Attention.
Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
2024Online Topological Mapping for Embedded Computers with Growing Neural Gas.
Alfin Junaedy, Hiroyuki Masuta, Kei Sawai, Tatsuo Motoyoshi, Noboru Takagi
2024Open-Set Semi-Supervised Learning by Distribution Alignment.
Qiao Xiao, Jinjing Zhu, Boqian Wu, Yu Zhang
2024Operating Cost and Peak Load Driven Day-Ahead Multivariate Load Forecasting For Integrated Coal Mine Energy Systems.
Xiaoxuan Xing, Xiaoyan Sun, Xianming Ye
2024Optimal path planning based on goal heuristics IQLA for mobile robots.
Tianfeng Zhou, Qingxia Li, Wenhong Wei
2024Optimization for Deep Takagi-Sugeno-Kang Fuzzy Classifier By Self-Adaptive Hybrid Search Evolutionary Algorithm with Competitive Behavior.
Xiao Feng, Zhiwen Zheng, Yongbin Yu, Xiangxiang Wang, Jingya Wang, Xinyi Han, Ziyue Zhang, JingYe Cai, Shiping Wen
2024Optimizing BioTac Simulation for Realistic Tactile Perception.
Wadhah Zai El Amri, Nicolás Navarro-Guerrero
2024Optimizing Mongolian Abstractive Summarization with Semantic Consistency Enhancement.
Yuan Zhao, Hongxu Hou, Jipeng Ma, Shuo Sun, Wei Chen, Guodong Shi
2024Optimizing Privacy and Utility Tradeoffs for Group Interests Through Harmonization.
Bishwas Mandal, George T. Amariucai, Shuangqing Wei
2024Option-Differentiated Clue Augmentation for Commonsense Question Answering.
Li Hao, Wenqing Deng, Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Dongyu Yang
2024Orthogonal Synthesis: Data Augmentation for Multimodal Sentiment Analysis.
Tao Zheng, Wei Liu
2024Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery.
Ziyun Li, Ben Dai, Christoph Meinel, Haojin Yang
2024Out-of-distribution Data Detection using Bayesian Convolutional Neural Network with Variational Inference.
Koki Minagawa, Taisei Saito, Sena Kojima, Kota Ando, Tetsuya Asai
2024Overcoming Data Limitations and Cross-Modal Interaction Challenges in Medical Visual Question Answering.
Yurun Bi, Xingang Wang, Qingao Wang, Jinxiao Yang
2024P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges.
Runnan Tan, Qingfeng Tan, Haiyan Wang, Yushun Xie, Peng Zhang
2024PB-DVAE: A Performance Bottleneck Location Model Based On Deep Variational Autoencoder.
Zhijian An, Yong Zhou, Zhaowen Wang
2024PDCU-Net: A Depth Model by Imitating Expert Diagnostic Thinking for Corneal Ulcer Classification on Slit-Lamp Images.
Jianxin Liu, Jianwei Zhang, Kangyu Lin, Shiyou Zhou
2024PDDM: Poisson-Distribution Diffusion Model with Multi-Step Weighted Fusion for Medical Image Segmentation.
Xingyu Chen, Junying Chen
2024PEAs in PODs: Co-Production of Community Based Public Engagement for Data and AI Research.
Keeley A. Crockett, Edwin Colyer, Lauren Coulman, Caitlin Nunn, Sarah Linn
2024PEM: A Medical Named Entity Recognition Method Based on Proximity Enhancement.
Mei Liu, HongYun Huang, Zuohua Ding
2024PFR-VC: Learning-Based Video Compression Framework with Predicted Frame Refinement.
Zhidao Zhou, Hongxin Qiu, Zhikai Liu, Wei Sun, Fan Liang
2024PICLAnony: Anonymous Face Generation with Controllable Attributes based on Parametric Imitative Contrastive Learning.
Hongling Ji, Hao Liu, Jiuzhen Liang
2024PINGS: Physics Informed Networks with Guided Supermasks for Sequential PDE Solving.
Sourav Mishra, Rudrashis Majumder, Suresh Sundaram
2024PLTON: Product-Level Try-on with Realistic Clothes Shading and Wrinkles.
Yanlong Zang, Han Yang, Jiaxu Miao, Yi Yang
2024PMMC: Prompt-based Multi-Modal Rumor Detection Model with Modality Conversion.
Yehan Liu, Yanran Ren, Jie Sui
2024PMPRec: A Pre-training encoder based on Meta-Path for Recommendation.
Wenbing Zhang, Hongmei Chen, Qing Xiao, Lihua Zhou, Lizhen Wang
2024PMSQA: Pre-Training Based Multi-Scale Non-Intrusive Speech Quality Assessment.
Yi Jiang, Sixing Liu, Shaohan Liu, Qun Yang
2024PNAHN: Parallel Neighbor Aggregation for Heterogeneous Graph Neural Network.
Fan Li, Kaihang Dou, Suixiang Gao
2024POPD: Partial Occluded Pedestrian Detection Using A Multimodal Deep Learning Approach.
Deepanshu Garg, Alok Kumar, Sivaraman Eswaran, Youcef Djenouri, Gautam Srivastava
2024PP-YOLO-CS: A Novel Approach for Real-Time Fire and Smoke Detection in Industrial Park Environments.
Ming Ma, Mengkun Guo
2024PRDG: Personalized Recommendation with Diversity Based on Graph Neural Networks.
Fengying Li, Hong Li, Rongsheng Dong
2024PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition.
Shenglin He, Xiaoyang Qu, Jiguang Wan, Guokuan Li, Changsheng Xie, Jianzong Wang
2024PRJack: Pruning-Resistant Model Hijacking Attack Against Deep Learning Models.
Ge Han, Zheng Li, Shanqing Guo
2024PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding.
Yi Pan, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2024PSCFNet: Prototype Learning and Spatial Consistent Feature Fusion for Efficient Salient Object Detection.
Guozhen Liang, Fengxi Xie, Yongtao Sun
2024PTCR-PJF: A Person-Job Fit Model for Structured Resumes.
Jiaming Li, Jingfa Yao, Guifa Teng, Mingyue Yan
2024PUBA: A Physical Undirected Backdoor Attack in Vision-based UAV Detection and Tracking Systems.
Haoyu Jiang, Nan Li, Ping Yi
2024Parallel Spiking Unit for Efficient Training of Spiking Neural Networks.
Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
2024Part-Attention Based Model Make Occluded Person Re-Identification Stronger.
Zhihao Chen, Yiyuan Ge
2024Patch Ranking Map: Explaining Relations among Patches, Top-ranked Features and Decisions of a Convolutional Neural Network.
Luna M. Zhang
2024Patch Trajectories for Visual Odometry in Dynamic scenes.
Lijian Zhuang, Songzhi Su
2024PeINR: Periodic Implicit Neural Representation for Single-view Clothed Human Reconstruction.
Yan Wan, Zhongqin Wei, Li Yao
2024Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction.
Rodrigo Kruger, Abdullah Mueen, Vinícius M. A. de Souza
2024Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection.
Giustino Claudio Miglionico, Pietro Ducange, Francesco Marcelloni, Carlo Vallati, Francesco di Rienzo
2024Periodic Stacked Transformer-based Framework for Travel Time Prediction.
Hui-Ting Lin, Hao Dai, Vincent S. Tseng
2024Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection.
Jiawei Xu, Zhaowei Zhu, Weiwei Ye, Ning Gui
2024Personal Identification and Authentication in Multi-Task EEG Database Using EEGNet and Siamese Network.
Rui Ouyang, Xiaopei Wu, Zhao Lv
2024Personalized Federated Learning with Auction-Based Client Selection and Edge-Enhanced Model Accuracy.
Kaiwei Mo, Xianglong Li, Wei Lin, Hong Xu, Zongpeng Li, Chun Jason Xue
2024Personalized Federated Learning with Enhanced Implicit Generalization.
Heping Liu, Songbai Liu, Junkai Ji, Qiuzhen Lin, Jianyong Chen, Kay Chen Tan
2024Physics-Informed CNN for the Design of Acoustic Equipment.
Kazuya Yokota, Masataka Ogura, Takahiko Kurahashi, Masajiro Abe
2024Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling.
Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi
2024Pioneering Industrial Anomaly Detection with a Hierarchical LSTM-Rola Framework.
Dingyu Chen, Shaohua Liu, Le Yuan
2024PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion.
Miao Yin, Lei Tan, Ping Wang, Jinshuo Zhang, Xiuyang Zhao
2024Pre-training Encoder-Decoder for Minority Language Speech Recognition.
Bo Wang, Xiaofeng Jin, Mingdong Yu, Guirong Wang, Jiaqi Chen
2024Pre-training Graph Neural Networks via Weighted Meta Learning.
Yiwei Dai, Mingchen Sun, Xin Wang
2024Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection.
Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao
2024Pre-training Molecular Graph Representations with Motif-Enhanced Message Passing.
Yangyi Lu, Jing Peng, Yifeng Zhu, Zhuang Chen
2024Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders.
Yuping Peng, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqian Wang
2024Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU.
Yuke Wang, Jianwu Lin, Guangling Liu
2024Predicting LncRNA-Protein Interactions Through Global and Local Features based on Cross Attention Mechanism.
Shaoqi Shao, Jinling Liu, Jing Peng
2024Predictive Modeling in the Reservoir Kernel Motif Space.
Peter Tino, Robert Simon Fong, Roberto Fabio Leonarduzzi
2024Prefix Tuning for Few-shot Malware Classification with Supervised Contrastive Cross-Entropy Learning.
Zhengming Yuan, Yaoxiang Yu, Yue Wu, Siwei Huang, Bo Cai
2024Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering.
Peixi Peng, Wanshu Fan, Wenfei Liu, Xin Yang, Dongsheng Zhou
2024Privacy-Preserving Deep Reinforcement Learning based on Differential Privacy.
Wenxu Zhao, Yingpeng Sang, Neal Xiong, Hui Tian
2024Privacy-Preserving Unsupervised Spherical Text Embeddings.
Huixin Zhan, Liyuan Gao, Victor S. Sheng
2024ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations.
Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta
2024ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment.
Fuqiang Tian, Xiaochuan Shi, Linjiang Zhou, Lanlan Chen, Chao Ma, Weiping Zhu
2024Prog-TAPAS: Enabling Table and Program Representation Consistency for Fact Verification.
Siqi Wang, Chuang Zhang, Tingwen Liu
2024Progressive Neural Predictor with Score-Based Sampling.
Liwen Jiang, Yu Xue, Ferrante Neri, Xiaoping Zhao, Mohamed Wahib
2024Progressive Self-Guided Hardness Distillation for Fine-Grained Visual Classification.
Yangdi Wang, Wenming Guo, Su Xiu Xu, Shuozhi Yuan
2024Progressively Relaxed Knowledge Distillation.
Xiaozhe Gu, Ran Jin, Mingliang Li
2024Progressively Robust Loss for Deep Learning with Noisy Labels.
Zhenhuang Cai, Shuai Yan, Yuanbo Chen, Chuanyi Zhang, Zeren Sun, Yazhou Yao
2024Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models.
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
2024Prompt-Enhanced Prototype Framework for Few-shot Event Detection.
Xu Liu, Xinming Chen, Yangfu Zhu, Bin Wu
2024Prompt-based Chinese Event Temporal Relation Extraction on LLM Predictive Information.
Fan Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu
2024ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification.
Zhifeng Wu, Xiaohui Li, Luning Wang, Shendi Wang, Yufei Cui, Jiahai Wang
2024Prototype Completion With Knowledge Distillation and Gate Recurrent Unit for Few-Shot Classification.
Xu Zhang, Xinyue Wang, Liang Yan, Zhiqing Zhang
2024Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation.
Yangxun Ou, Lei Chen, Fenglin Pan, Yupeng Wu
2024Pruning neural networks by synchronously changing weight information.
Zhe Tang, Ping Li, Jinying Xiao, Jie Nie
2024Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model.
Masahito Toba, Seiichi Uchida, Hideaki Hayashi
2024QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights.
Anmol Biswas, Udayan Ganguly
2024QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy.
Wenhao Yuan, Xuehe Wang
2024QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.
Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao
2024QMKD: A Two-Stage Approach to Enhance Multi-Teacher Knowledge Distillation.
Yuxing Lee, Wei Wu
2024Quadripartite: Tackle Noisy Labels by Better Utilizing Uncertain Samples.
Xiaoxuan Cui, Xuefeng Liang, Chang Cao, Guanghui Shi, Nesma El-haddar
2024Quantifying Bowel Preparation in Wireless Capsule Endoscopy: Optimizing Latency with Structural Reparameterization in the WCEFastViT Model.
Guangquan Wan, Guanghui Lian, Lan Yao
2024Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance.
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
2024Quantifying Uncertainty of Portfolios using Bayesian Neural Networks.
Süleyman Esener, Enrico Wegner, Rui Jorge Almeida, Nalan Bastürk, Paulo Rodrigues
2024Quantum-inspired Neural Network Based on Stochastic Liouville-von Neumann Equation for Sentiment Classification.
Kehuan Yan, Peichao Lai, Qingwei Lyu, Yilei Wang
2024QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines.
Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
2024Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion.
Pauline Bourigault, Dongpo Xu, Danilo P. Mandic
2024Query-Based External Information Leakage Attacks on Face Recognition Models.
Edita Grolman, Amit Giloni, Ryuta Kremer, Hiroo Saito, Tomoyuki Shibata, Tsukasa Omino, Misaki Komatsu, Yoshikazu Hanatani, Asaf Shabtai, Yuval Elovici
2024RA-LENet:R-Wave Attention and Local Enhancement for Noise Reduction in ECG Signals.
Yaolong Zhu, Ding Zhu, Juan Liu
2024RASLS: Reinforcement Learning Active SLAM Approach with Layout Semantic.
Changhang Tian, Shasha Tian, Yilin Kang, Hong Wang, Jun Tie, Shenhao Xu
2024RCFormer : Interactive Image Segmentation via Reconstructing Click Vision Transformers.
Panpan Chen, Dahan Wang, Jiahua Wu, Yun Wu, Yifan He, Xuyao Zhang, Shunzhi Zhu
2024RDLinear: A Novel Time Series Forecasting Model Based on Decomposition with RevIN.
Hao Wang, Dongsheng Zou, Bi Zhao, Yuming Yang, Jiyuan Liu, Naiquan Chai, Xinyi Song
2024REMD: A Novel Hybrid Anomaly Detection Method Based on EMD and ARIMA.
Jéssica Souza, Ellen Paixão Silva, Fernando Fraga, Laís Baroni, Ronaldo Fernandes Santos Alves, Kele T. Belloze, Joel A. F. dos Santos, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
2024REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning.
Tianqi Pang, Kehui Tan, Yujun Yao, Xiangyang Liu, Fanlong Meng, Chenyou Fan, Xiaofan Zhang
2024RLBOF: Reinforcement Learning from Bayesian Optimization Feedback.
Hailong Huang, Xiubo Liang, Quanwei Zhang, Hongzhi Wang, Xiangdong Li
2024RMFFNet: A Reverse Multi-Scale Feature Fusion Network for Remote Sensing Scene Classification.
Wei Wang, Yuting Shi, Xin Wang
2024RPA-SCD: Rhythm and Pitch Aware Dual-Branch Network for Songs Conversion Detection.
Mingshan Du, Hongxia Wang, Rui Zhang, Zihan Yan
2024RRdE: A Decision Making Framework for Language Agents in Interactive Environments.
XuFeng Zhou, Linjing Li, Daniel Dajun Zeng
2024RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer.
Damalla Rambabu, G. Swetha, Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan
2024RTFormer: Re-parameter TSBN Spiking Transformer.
Hongzhi Wang, Xiubo Liang, Mengjian Li, Tao Zhang
2024RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline.
Mirko Usuelli, Matteo Frosi, Paolo Cudrano, Simone Mentasti, Matteo Matteucci
2024Rain Streak Attention Network for Single Image Deraining.
Zhiguo Kang, Wei Liu, Caiwang Zhang, Minghui Li
2024Rank and Sort Loss-Aware Label Assignment with Centroid Prior for Dense Object Detection.
Shicheng Zu, Yucheng Jin, Yujie Jiang
2024Rapid User-Adaptive Wearable Activity Recognition via Difference Decomposition.
Xin Zhong, Jiahao Wang, Hainan Feng, Rong Tan
2024Real Underwater Image Restoration From a Unified Perspective.
Zhenqiang Zhang, Jidong Huo, Chuantao Li, Zhigang Zhao, Chunxiao Wang, Jialiang Lv
2024Real-Time spike sorting using an optimized STDP Spiking Neural Network on FPGA.
Jérémy Cheslet, Marie Bernert, Romain Beaubois, Blaise Yvert, Timothée Levi
2024Real-time Integration of Fine-tuned Large Language Model for Improved Decision-Making in Reinforcement Learning.
Xiancai Xiang, Jian Xue, Lin Zhao, Yuan Lei, Chao Yue, Ke Lu
2024Realight-NeRF: Modeling Realistic Lighting and Optimizing Environment Light Capture in Scenes.
Kai Li, Chengming Zou
2024Reasoning Knowledge Transfer for Logical Table-to-Text Generation.
Baoqiang Liu, Yu Bai, Fang Cai, Shuang Xue, Na Ye, Xinyuan Ye
2024RecVAE-GBRT: Memory-Fused XGBoost for Time-Series Forecasting.
Xiao Zheng, Saeed Asadi Bagloee, Majid Sarvi
2024Recognition of Unsafe Driving Behaviours Using SC-GCN.
Jiapei Wang, Chen Mu, Linjie Di, Meiyun Li, Zhiyuan Sun, Shumei Liu
2024ReconGait: Giant Panda Gait Recognition Based on Spatio-Temporal Feature Reconstruction.
Peng Min, Han Su, Mengnan He, Rong Hou, Pinjia Que, Peng Chen
2024Recursive Learning Framework for Structured Data Agglomeration.
Angelo Ciaramella, Emanuel Di Nardo, Giuseppe Vettigli
2024Reducing Language Bias for Robust VQA Model with Multi-Branch Learning.
Zhenzhen Wang, Qingfeng Wu
2024Reference-free review-based product question answering evaluation via distant contrastive learning.
Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang
2024Refining Entity Descriptions with Relation Embeddings for Scientific Relation Classification.
Canyu Li, Xiaojing Liu, Jinliang Li, Junlei Wang, Zaiwen Feng, Li Qin
2024Regularized artificial neural network based patent value interval prediction model.
Weidong Liu, Kaiyang Xiao, Jiamin Zhang, Bo Li
2024Reinforcement Learning Based Collaborative Inference and Task Offloading Optimization for Cloud-Edge-End Systems.
Jiangyu Tian, Xin Li, Xiaolin Qin
2024Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior.
Zhiyuan Yao, Zheng Li, Matthew Thomas, Ionut Florescu
2024Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion.
Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng
2024Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent Detection.
Chaiyut Luoyiching, Yangning Li, Yinghui Li, Rongsheng Li, Hai-Tao Zheng, Nannan Zhou, Hanjing Su
2024Relation-Based Multi-Teacher Knowledge Distillation.
Yutian Wang, Yi Xu
2024Remember the Past for Better Future: Memory-Augmented Offline RL.
Yue Zhang, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
2024Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows.
Hao Yu, Zebin Huang, Qingbo Liu, Ignacio Carlucho, Mustafa Suphi Erden
2024Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching.
Mario Luca Bernardi, Marta Cimitile
2024Representation Learning Using Machine Attribute Information for Anomalous Sound Detection in Real Scenarios.
Shuxian Wang, Qing Wang, Jun Du, Lei Wang, Fan Chu, Yuxuan Zhou, Mingqi Cai, Xin Fang
2024Representation Space Maintenance: Against Forgetting in Continual Learning.
Rui Niu, Zhiyong Wu, Changhe Song
2024Representing Knowledge Graph Triples through Siamese Line Graph Sampling.
Alexander Kalinowski, Yuan An
2024Research on the classification model of Thangka subjects based on efficient PatchEmbed.
Qin Yang, Jin Yang, Shengqiao Ni, Jing Zhang, Hang Ren, Nuo Qun
2024Reservoir Computing neural networks for estimating mechanical properties of hot steel strips.
Francesca Motta, Claudio Gallicchio
2024Reservoir Computing-Based Model of Action Planning: Emulating Prefrontal Cortex Functions with Dynamic Synapses and Reward-Based Learning.
Jin Nakamura, Yuichi Katori
2024Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments.
Korn Sooksatra, Alejandro Rodríguez Pérez, Pablo Rivas
2024Response Generation with Personal Attributes and Act Information.
Haitao Gui, Zhongqing Wang
2024RestoreCUFormer: Transformers to Make Strong Encoders via Two-stage Knowledge Learning For Multiple Adverse Weather Removal.
Jianping Li, Zhihao Wang, JinCheng Wan, Huaiwei Si, Xiang Wang, Guozhen Tan
2024Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.
Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu
2024Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery.
Yi Li, Plamen Angelov, Neeraj Suri
2024Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes.
Julius Martinetz, Christoph Linse, Thomas Martinetz
2024Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?
Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li
2024Retrieval and Sorting of Scientific Documents Based on Stacked Embedding and Hybrid Attention Model.
Binghao Zeng, Xuedong Tian
2024Retrieval-Augmented Meta Learning for Low-Resource Text Classification.
Rongsheng Li, Yangning Li, Yinghui Li, Chaiyut Luoyiching, Nannan Zhou, Hanjing Su, Hai-Tao Zheng
2024RevPose: A Multi-Stage Reversible Networks for Human Pose Estimation.
Annan Wang, Yue Niu, Xuewu Wang, Shengxi Wu
2024Revealing the Unseen: Explainable AI-Driven Masked Face Recognition.
Madhu Kashania, Ankit Rajpal, Sheetal Rajpal, Naveen Kumar
2024Reversible Adversarial Examples based on Self-Embedding Watermark for Image Privacy Protection.
Xu Cao, Ju Liu, Jinghui Yin, Xuejun Cheng, Jing Li, Hao Ma, Guanghui Luo
2024Revitalizing Nash Equilibrium in GANs for Human Face Image Generation.
Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat
2024Reward-Punishment Reinforcement Learning with Maximum Entropy.
Jiexin Wang, Eiji Uchibe
2024RoMATer: An end-to-end robust multiaircraft tracker with transformer.
Xujie He, Jing Jin, Duo Chen, Cangtian Zhou, Jiale Jiang, Yuhan Chen
2024Robust Adaptive Feature Enhancement and Contrastive Clustering for New Intent Discovery.
Keyue Chen, Jindian Su, Zijian Pan
2024Robust Barrier-Certified Safe Learning-based Adaptive Control for Multi-Agent Systems in Presence of Uncertain Environments.
Shawon Dey, Hao Xu
2024Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory.
Ninnart Fuengfusin, Hakaru Tamukoh, Osamu Nomura, Takashi Morie
2024Robust Cross-modal Medical Image Translation via Diffusion Model and Knowledge Distillation.
Yuehan Xia, Saifeng Feng, Jianhui Zhao, Zhiyong Yuan
2024Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space.
Qianmei Liu, Yufei Kuang, Jie Wang
2024Robust Imagined Speech Production from Electrocorticography with Adaptive Frequency Enhancement.
Xu Xu, Chong Fu, Junxin Chen, Gwanggil Jeon, David Camacho
2024Robust Neural Architecture Search under Long-Tailed Distribution.
Yuqi Feng, Jian Zhang, Yanan Sun
2024Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks.
Juyoung Yun
2024Robust Video Watermarking Network Based on Channel Spatial Attention.
Jian Li, Tao Zuo, Bin Ma, Chunpeng Wang, Peng Zhang, Huanhuan Zhao, Zhengzhong Zhao
2024S
Haizhou Ding, Gang Yang, Xiaotong Tu, Yue Huang, Xinghao Ding
2024S
Renxiang Guan, Zihao Li, Chujia Song, Guo Yu, Xianju Li, Ruyi Feng
2024S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks.
Neha A S, Vivek Chaturvedi, Muhammad Shafique
2024SA-MPF: A Status-Aware Mask Prediction Framework for Online Disease Diagnosis.
Zefa Hu, Linghui Meng, Yunlong Zhao, Yuanyuan Zhao, Shuang Xu, Bo Xu
2024SACL: Siamese Adaptive Contrastive Learning for Recommendation.
Shikang Bao, Zhuang Liu, Chen Li, Jianfei Zhang, Guanming Chen, Yuanxin Ouyang, Wenge Rong
2024SAMNER: Image Screening and Cross-Modal Alignment Networks for Multimodal Named Entity Recognition.
Luyi Yang
2024SAMPose: Multi-Person Pose Estimation based on Segment Anything Model.
Jiechen Li, Ruoshan Kong, Feng Liu
2024SAMS : One-Shot Learning for the Segment Anything Model Using Similar Images.
Fan Yin, Jun Li, Yifei Wei, Wei Zhang, Chaoyi Xu
2024SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment.
Ching-Hsuan Liu, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Jiun-Lang Huang, Chuan-Ju Wang
2024SC-ViT: Semantic Contrast Vision Transformer for Scene Recognition.
Jiahui Niu, Xin Ma, Rui Li
2024SCA-Font: Enhancing Few-Shot Generation with Style-Content Aggregation.
Yefei Wang, Sunzhe Yang, Kangyue Xiong, Jinshan Zeng
2024SE-FewDet: Semantic-Enhanced Feature Generation and Prediction Refinement for Few-Shot Object Detection.
Yineng Zhang, Sheng Liu, Yuan Feng, Songqi Pan, Xiaopeng Tian, Jiantao Yang
2024SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems.
Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh
2024SEVEN: Pruning Transformer Model by Reserving Sentinels.
Jinying Xiao, Ping Li, Jie Nie, Zhe Tang
2024SFMM: Semantic-to-Frame Matching with Multi-Classifier for Few-shot Action Recognition.
Yikang Wang, Fei Guo, Li Zhu, Yuan Guo
2024SG-RSRNN - Score Guided Robust Subspace Recovery-based Neural Network for Network Intrusion Detection.
Luís Gonçalves, Cleber Zanchettin
2024SGCA: Signed Graph Contrastive Learning with Adaptive Augmentation.
Yijie Qi, Erxin Du, Lin Shu, Chuan Chen
2024SGCD: Subgroup Contribution Decomposition for Multi-Agent Reinforcement Learning.
Hao Chen, Bin Zhang, Guoliang Fan
2024SGD-YOLOv5: A Small Object Detection Model for Complex Industrial Environments.
Jiabin Pei, Xiaoming Wu, Xiangzhi Liu, Longxiang Gao, Shui Yu, Xi Zheng
2024SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection.
Nier Wu, Xufei Zhuang, Hao Xing, Yatu Ji, Yang Liu, Qing-dao-er-ji Ren, Bao Shi
2024SLI-YOLO: A Lightweight Unauthorized Login Detection Model Based on Multiscale Convolutional Attention.
Fangfang Wang, Hui Shu, Hao Zhao, Fei Kang
2024SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
Mrinmay Sen, A. K. Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
2024SPAFusion: Multi-focus Image Fusion based on Shift Patch Attention.
Yong Peng, Mao Liu, Zheyu Shi, Shengli Bao
2024SPGNet: A Serial-Parallel Gated Convolutional Network for Image Classification on Small Datasets.
Yun Song, Jinxuan Wang, Miaohui Wang
2024SPIL: Fast Imitation Learning with Single-Person Game.
Yuchen Liang
2024SPSS: A Salience-based Poisoning Selection Strategy for Selecting Backdoor Attack Victims.
Zihan Lyu, Dongheng Lin, Shengkai Sun, Jie Zhang, Ruiming Zhang
2024SQMG: An Optimized Stochastic Quantization Method Using Multivariate Gaussians for Distributed Learning.
Jianan Zhang, Zaipeng Xie, Hongxing Li, Xuanyao Jie, Yunfei Wang, Bowen Li
2024SR
Xiya Zhu, Bicao Li, Bei Wang, Xuwei Guo, Jie Huang, Jie Zhang
2024SSCD-Net: Semi-supervised Skin Cancer Diagnostical Network Combined with Curriculum Learning, Disease Relation and Clinical Information.
Wei Wang, CaoYunjian Cao, Shaozhi Wu, Xingang Liu, Han Su, Dan Tian
2024SSIE-Diffusion: Personalized Generative Model for Subject-Specific Image Editing.
Lin Guo, Meiling Liu, Kaiqun Fu, Jiyun Zhou
2024SSINet: Snapshot Spectral Imaging Method with Matrix Fusion Module for Face Anti-spoofing.
Xueqian Zhang, Yidong Huang, Shijie Rao, Kaiyu Cui, Ya-Li Li
2024STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy.
Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2024STDP-based Associative Memory Model on Spiking Neural Networks.
Wenwu Jiang, Lei Wang, Lang Qin, Rui Yan
2024STFL: Utilizing a Semi-Supervised, Transfer-Learning, Federated-Learning Approach to Detect Phishing URL Attacks.
Ido Sakazi, Edita Grolman, Yuval Elovici, Asaf Shabtai
2024STMS: An Out-Of-Distribution Model Stealing Method Based on Causality.
Yunfei Yang, Xiaojun Chen, Zhendong Zhao, Yuexin Xuan, Bisheng Tang, Xiaoying Li
2024STNAM: A Spatio-Temporal Non-autoregressive Model for Video Prediction.
Yu Yuan, Zhaohui Meng
2024STPSformer: Spatial-Temporal ProbSparse Transformer for Long-Term Traffic Flow Forecasting.
Jun Lu, Dan Wang, Zhanquan Wang
2024SVR-AVT: Scale Variation Robust Active Visual Tracking.
Zhang Biao, Songchang Jin, Qianying Ouyang, Huanhuan Yang, Yuxi Zheng, Chunlian Fu, Dianxi Shi
2024SWGP: Semi-supervised clustering via Wasserstein generative adversarial network with gradient penalty for uncovering brain disease heterogeneity from medical images.
Shaopeng Wei, Canhong Wen, Haizhu Tan, Chiyu Wei
2024Sabiá in Action: An Investigation of its Abilities in Aspect-Based Sentiment Analysis, Hate Speech Detection, Irony Detection, and Question-Answering.
Júlia da Rocha Junqueira, Émerson Lopes, Claudio Luis Da S. M., Félix Leonel V. da Silva, Eduarda Abreu Carvalho, Larissa A. de Freitas, Ulisses Brisolara Corrêa
2024Safe Screening for ℓ2-penalized Unbalanced Optimal Transport Problem.
Xun Su, Zhongxi Fang, Hiroyuki Kasai
2024Safety-guided Deep Reinforcement Learning for Path Planning of Autonomous Mobile Robots.
Zhuoru Yu, Yaqing Hou, Qiang Zhang, Qian Liu
2024Saliency-Aware Projection Usability Enhancement for Dimensionality Reduction through Generative Models.
Yaxuan Zheng, Wenli Xiong, Changbo Wang, Chenhui Li
2024SalientPoint: A Self-Supervised Keypoint Detection Based on Saliency of Descriptor.
Keyu Zhou, Wangshu Yao, Siyu Yang, Siyuan Peng
2024Sample Mining Loss Based on Noise Label and Low-Quality Sample for Face Recognition.
Ye Lu, Lei Chen, Hai-lin Liu
2024Scaling Dual Stage Image-Text Retrieval with Multimodal Large Language Models.
Zhenyu Wang, Yifei Wu
2024Scene Text Image Super-Resolution via Content Perceptual Loss and Criss-Cross Transformer Blocks.
Rui Qin, Bin Wang
2024Scene-based Graph Convolutional Networks for Federated Multi-Label Classification.
Shaocong Xue, Wenjian Luo, Yongkang Luo, Zeping Yin, Jiahao Gu
2024SeTemAPR: Incorporating Semantic Knowledge in Template-based Neural Program Repair.
Yanbo Zhang, Yawen Wang
2024Seamless Robot Teleoperation: Intuitive Control through Hand Gestures and Neural Network Decoding.
Haolin Fei, Shijie Lee, Ziwei Wang, Liucheng Guo, Darren Williams, Stefano Tedeschi, Xueqian Wang
2024SecureVeil: A Modular Architecture with Deep Cosine Transformation and Secure Key Fusion for Face Template Protection.
Bin Zhu, Xiaofeng Wang, WenZhuo Han, Shun Qin, Wenzheng Liu, Xiaoyong Tang, Ronghui Cao, Tan Deng
2024Segmentation of Human Body Parts using Growing Neural Gas with Event Camera.
Masatoshi Eguchi, Takenori Obo, Naoyuki Kubota
2024Self Decoupling-Reconstruction Network for Facial Expression Recognition.
Linhuang Wang, Xin Kang, Fei Ding, Haitao Yu, Yunong Wu, Kazuyuki Matsumoto, Satoshi Nakagawa, Fuji Ren
2024Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning.
Yang Li, Sihan Zhou, Yaqing Hou, Liran Zhou, Hongwei Ge, Liang Feng, Siyu Wang
2024Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education.
Guoqiang Lu, Ke Niu, Xueping Peng, Yuhang Zhou, Ke Zhang, Wenjuan Tai
2024Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting.
Yuanpei Huang, Nanfeng Xiao
2024Self-Supervised Representation Learning for Sleep Stage Classification with Feature Space Augmentation and Temporal Prediction.
Qijun Jiang, Lina Chen, Hong Gao, Fangyao Shen, Hongjie Guo
2024Self-Supervised Vision Transformers for Scalable Anomaly Detection over Images.
Stefano Samele, Matteo Matteucci
2024Self-Training with Contrastive Learning for Adversarial Domain Adaptation.
Shanshan Wang, Minbin Hu, Xingyi Zhang
2024Self-aware Hierarchical Neuromorphic Architecture.
Zilu Wang, Xin Yao
2024Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak, Esla Timothy Anzaku, Solha Kang, Wesley De Neve, Joris Vankerschaver
2024Self-supervised Feature Representation Distillation for Esophageal Cancer Screening.
Xiaoyu Yan, Yao Zhou, Zhang Yi
2024Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis.
Yating Huang, Hujun Yin
2024Self-supported Prototype Rectification for Few-shot Medical Image Segmentation.
Zhaoxu Li, Hailing Wang, Guitao Cao
2024Semantic Fusion Based Graph Network for Video Scene Detection.
Ye Tian, Yang Liu, Mengyu Yang, Lanshan Zhang, Zhigang Li
2024Semantic Information Reasoning and Multi-Step Cross-Modal Interaction Network for Image-Text Retrieval.
Xishan Ma, Yushui Geng, Jing Zhao, Huanxiao Zhou
2024Semantic Reconstruction Guided Missing Cross-modal Hashing.
Yafang Li, Chaoqun Zheng, Ruifan Zuo, Wenpeng Lu
2024Semantic facial features and expression manipulation using multi-level IC-DGAN framework.
Fakhar Abbas, Araz Taeihagh
2024Semi-Supervised Contrastive Learning for Few-Shot Indoor Positioning via 5G NR.
Wenqi Zheng, Linying Yang, Wei Li, Xiangxu Meng, Jianing Chen, Zhihong Wang
2024Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing.
Ming Tong, Xuefeng Yan, Yongzhen Wang, Mingqiang Wei
2024Semi-supervised Crowd Counting Based on Hard Pseudo-labels.
Hanxiao Li, Yonghong Song, Tong Geng
2024Semi-supervised Graph Anomaly Detection via Multi-view Contrastive Learning.
Hengji Dong, Jing Zhao, Hongwei Yang, Hui He, Jun Zhou, Yunqing Feng, Yangyiye Jin, Rui Liu, Mengge Wang
2024Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams.
Chaofan Chen, Wenhao Zhong, Kezhong Lu
2024Semi-supervised learning using constrained laplacian regularized least squares.
Celso A. R. Sousa
2024Sensor Fusion and Motion Planning with Unified Bird's-Eye View Representation for End-to-end Autonomous Driving.
Yuandong Lyu, Xiaojun Tan, Ze Yu, Zhengping Fan
2024SentKB-BERT: Sentiment-filtered Knowledge-based Stance Detection.
Hongzhou Chen, Ke Yan, Kadhim Mustafa Raad Kadhim, Kui Wu, Ling Tian
2024Separate and Integrate Different Level Reasoning for Event Causality Identification.
Yuchang Deng, Wenti Huang, Tingxuan Chen, Jun Long
2024Separating Spectral and Spatial Feature Aggregation for Demosaicking.
Xuanchen Li, Bo Zhao, Yan Niu, Li Cheng, Haoyuan Shi, Zitong An
2024Sequential Patterns Unveiled: A Novel Hypergraph Convolution Approach for Dynamic User Preference Analysis.
Zekai Wen, Xiubo Liang, Hongzhi Wang, Mengjian Li, Zhimeng Zhang
2024ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal.
Weiwen Chen, Yingtie Lei, Shenghong Luo, Ziyang Zhou, Mingxian Li, Chi-Man Pun
2024ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation.
Minh Tran, Winston Bounsavy, Khoa Vo, Anh Nguyen, Tri Nguyen, Ngan Le
2024Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning.
Songning Lai, Jiakang Li, Guinan Guo, Xifeng Hu, Yulong Li, Yuan Tan, Zichen Song, Yutong Liu, Zhaoxia Ren, Chun Wang, Danmin Miao, Zhi Liu
2024Ship in Sight: Diffusion Models for Ship-Image Super Resolution.
Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi, Danilo Comminiello
2024Short-Term Fourier Transform as Preprocessing for Common Spatial Pattern.
Ana Beatriz Lana Maciel Moreira Armond, Gabriel Henrique de Souza, Davi Esteves Dos Santos, Heder Soares Bernardino
2024Shortcut Detection With Variational Autoencoders.
Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
2024ShuffleVITNet: Mobile-Friendly Vision Transformer With Less-Memory.
Xinyu Zhao, Jun Lu
2024Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction.
Li Shen, Yuning Wei, Yangzhu Wang, Xuyi Fan, Minghao Zhao
2024Signed Safety Field Reinforcement Learning with Multi-agent System in Competitive and Cooperative Environments.
Jianping Li, Guozhen Tan
2024Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization.
Masashi Noguchi, Shinichi Shirakawa
2024Simultaneously Detecting Node and Edge Level Anomalies on Heterogeneous Attributed Graphs.
Rizal Fathony, Jenn Ng, Jia Chen
2024Single Image Dehazing via Multi-Scale Large Kernel Convolutional Neural Networks.
Minghui Li, Wei Liu, Zhiguo Kang, Xiaoyu Huang
2024Single-Channel EEG Classification of Human Attention with Two-Branch Multiscale CNN and Transformer Model.
Xujie Zhao, Junjie Lu, Jianhui Zhao, Zhiyong Yuan
2024Single-Domain Generalization Combining Geometric Context Toward Instance Segmentation of Track Components.
Shixiang Su, Songlin Du, Dezhou Wang, Shuzhen Tong, Xiaobo Lu
2024Single-Step Support Set Mining for Realistic Few-Shot Image Classification.
Chao Ye, Qian Wang, Lanfang Dong
2024Single-trial detection and session detection in a rapid serial visual presentation task with covariate, target probability, and concept shifts.
Hubert Cecotti
2024SkelEx and BoundEx - Geometrical Framework for Interpretable ReLU Neural Networks.
Pawel Pukowski, Joachim Spoerhase, Haiping Lu
2024Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution.
Jingyao Wang, Issam Falih, Emmanuel Bergeret
2024SleepCVT: Combination of Convolution Neural Network and Vision Transformer for Automatic Sleep Scoring.
Chih-En Kuo, Hao-Hsiang Wang, Tsung-Hua Lu
2024SlideMLP: A Pure Multi-layer Perceptrons Method For Medical Image Segmentation.
Chaoqi Han, Bingcai Chen, Chanjuan Liu, Qian Ning, Victor C. M. Leung, Shouzhen Jiao, Qing Liu
2024SlowFast Adaptive Graph Convolutional Network with Multi-Modal Feature Aggregation for Skeleton-Based Action Recognition: Case Study of Human Ladder Climbing.
Wenrui Zhu, Donghui Shi, Tao Hu, Bo Wu
2024Smart Feature is What You Need.
Zhaoxin Hu, Keyan Ren
2024SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning.
Duc-Anh Nguyen, Nhien-An Le-Khac
2024Soft Pruning and Latent Space Dimensionality Reduction.
Richard Menzies, Paul Siebert
2024Solving Interactive Video Object Segmentation with Label-Propagating Neural Networks.
Viktor Varga, Milán Szász
2024Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference.
Alan T. L. Bacellar, Zachary Susskind, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Priscila M. V. Lima
2024Span Graph Based on Contrastive Learning for Nested Named Entity Recognition.
Lijie Li, Fengming Xu, Akshita Maradapu Vera Venkata Sai, Ye Wang
2024Sparse Attack with Meta-Learning.
Weitao Li, Mingqian Lin, Yihan Meng, Yangdai Si, Lin Shang
2024Sparse Matrix Reordering Method Selection with Parallel Computing and Deep Learning.
Rui Xia, Jihu Guo, Huajian Zhang, Shun Yang, Qinglin Wang, Jie Liu
2024Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction.
Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick
2024Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction.
Junhua Liu, Justin Albrethsen, Lincoln Goh, David K. Y. Yau, Kwan Hui Lim
2024Spatial-Temporal Retentive Heterogeneous Graph Convolutional Network for Traffic Flow Prediction.
Wang Zhu, Baichao Long, Jianli Xiao
2024Spatial-Temporal Traffic Prediction Model Based on Adaptive Graphs Fusion and Dual-Graph Collaborative Convolution.
Zhen Cheng, Song Qiu, Li Sun, Dingding Han, Qingli Li, Mingsong Chen
2024Spatio-Temporal Dynamically Fused Graph Convolutional Network.
Zongru Li, Boyan Chen, Penghui Xi, Zhirong Huang, Wenzhen Zhang, Shichao Zhang
2024Spatio-Temporal Graph Learning for Enhanced Agent Collaboration in Multi-Aircraft Combat.
Zhengchao Wang, Cuiwei Liu, Yue Han, Chen Liang, Huaijun Qiu
2024Spatiotemporal adaptive hybrid dynamic graph convolutional network for traffic flow prediction.
Yamin Wen, Bin Ren, Yanshan Li, Yuming Huang, Lianghong Wu
2024Specific Sentiment Mask Auto-Encoder Model (S2MA) for Image Sentiment Classification.
Lehao Xing, Ge Shi, Guang Yang, Lifang Wu
2024SpeechGuard: Online Defense against Backdoor Attacks on Speech Recognition Models.
Jinwen Xin, Xixiang Lv
2024Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy.
Pengqing Shi, Junbin Gao
2024Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection.
Lennard Bodden, Duc Bach Ha, Franziska Schwaiger, Lars Kreuzberg, Sven Behnke
2024Spiking Neural Network with Learnable Threshold for Event-based Classification and Object Detection.
Ahmed Hasssan, Jian Meng, Jae-sun Seo
2024Spiking Neural Networks for Signal Classification with Digital and Analog Neuromorphic Systems: A Comparative Study.
Leon Happek, Jen-Tse Huang, Alejandro Garcia Gener, Rainer Leupers, Melvin Galicia
2024Sponge Backdoor Attack: Increasing the Latency of Object Detection Exploiting Non-Maximum Suppression.
Yong Xiao, Jin Ma, Ping Yi, Xiuzhen Chen
2024Sribble Supervised Multimodal Medical Image Segmentation.
Zheng Wang, Xinliang Zhang, Junkun Zhao
2024Stabilization of Neural Activity in Brain Circuit Model of Cerebral Cortex-Basal Ganglia by Chaotic Resonance Control.
Hirotaka Doho, Sou Nobukawa, Haruhiko Nishimura, Tetsuya Takahashi
2024Stereo Matching Method with Integrated Geometric Encoding for Disparity Refinement.
Shujia Ye, Ligang Cao, Chun Yuan, Hao Feng, Lihua Yang, Qianghua Li, Peng Sun, Gang Li
2024Stock Price Manipulation Detection using Spiking Neural Networks.
Ammar Belatreche, Obiye Ada-Ibrama, Baqar Rizvi
2024Stock Price Manipulation Detection using Variational Autoencoder and Recurrence Plots.
Khaled Safa, Ammar Belatreche, Salima Ouadfel
2024StreamTinyNet: video streaming analysis with spatial-temporal TinyML.
Hazem Hesham Yousef Shalby, Massimo Pavan, Manuel Roveri
2024Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems.
Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
2024Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks.
Carlos Quintero Gull, José Lisandro Aguilar, Rodrigo García
2024Study on the Method of Progressive Restoration of Defective Chinese Characters.
Wei Wei, Lijun Yan
2024Sub-Hourly Load Forecasting for Community-Level Flexible Appliance Management.
Christoforos Menos-Aikateriniadis, Andreas Akarepis, Isidoros Kokos, Pavlos S. Georgilakis
2024Subgraph-Based Attention Network for Multi-Hop Question Answering.
Chuanyang Gong, Zhihua Wei, Xinpeng Wang, Rui Wang, Yu Li, Ping Zhu
2024Subset Selection in Support Vector Machine.
Jiangshuo Zhao, Canhong Wen
2024Substructure-augmented Graph Transformer for Network Representation Learning.
Hu Zhang, Shanshan Yang, Guangjun Zhang, Kunrui Li
2024Sufficient Sampling Method of Ranking Loss for Acne Detection.
Junyou Wang, Lei Zhang, Jianwei Zhang, Xin Wei, Wenjie Liu, Jiaqi Li, Xian Jiang
2024Summarizing Charts of Financial Document via Context-Aware Multi-Modeling.
Xiaoyue Huang, Yaxuan Zheng, Xiping Wang, Yanpeng Hu, Changbo Wang, Chenhui Li
2024SuperLED: Supervised Contrastive Learning based Dual Path Triple Extraction Framework.
Luyao He, Zhongbao Zhang, Sen Su, Hui Wang
2024Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy.
Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
2024Supervised Contrastive Learning with Hard Negative Samples.
Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron
2024Surface Anomaly Detection and Localization with Diffusion-based Reconstruction.
Xinyu Sheng, Shande Tuo, Lu Wang
2024SwinTaste: Bimodal Biosignals Taste Sensation Recognition via Swin Transformer.
Han Gao, Shuo Zhao, You Wang, Jin Zhang, Wei Yao, Zhiyuan Luo, Guang Li
2024Symbolic Knowledge Extraction and Distillation into Convolutional Neural Networks to Improve Medical Image Classification.
Kwun Ho Ngan, James Phelan, Joe Townsend, Artur d'Avila Garcez
2024Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response.
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou, Marios M. Polycarpou
2024T-Agent: A Term-Aware Agent for Medical Dialogue Generation.
Zefa Hu, Haozhi Zhao, Yuanyuan Zhao, Shuang Xu, Bo Xu
2024TATM: Task-Adaptive Token Matching for Few-Shot Transformer.
Yuheng Li, Fanzhang Li
2024TCL: Trend-consistent Contrastive Learning for Stock Movement Prediction.
Xia Li, Rihu Liao
2024TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong
2024TF-ChineseECE: A Chinese Event Causality Extraction Method Combining Roberta and Bi-FLASH-SRU.
Quanlin Chen, Jun Jia, Shuo Fan
2024TFAD: An Image Multi-Label Recognition Method with Image-Text Powered Attention.
Haoran Yin
2024TFD-GCL: Telecommunications Fraud Detection Based on Graph Contrastive Learning with Adaptive Augmentation.
Jingkang Cao, Xiaohui Cui, Chengliang Zheng
2024TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension.
Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang
2024TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation.
Xiaoman Zhang, Linlin Zhang, Xuehua Bi, Guanglei Yu, Ruyi Cao, Yang Chen
2024TMMM: Transformer in Multimodal Sentiment Analysis under Missing Modalities.
Huanyu Wu, Siyang Li, Dongrui Wu
2024TNT-Net++: Point Cloud Completion by Transformer in Transformer with Dynamic Seed Generator.
Xiaohai Zhang, Jinming Zhang, Jianliang Li, Ming Chen
2024TPC-NAS for ViTs: A Systematic Approach to Improve Vision Transformer Performance with Total Path Count.
Pi-Chuan Chen, Tzi-Dar Chiueh
2024TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction.
Yu Zhang, Zhao Kang
2024TRGNN: Text-Rich Graph Neural Network for Few-Shot Document Filtering.
Hongzhang Mu, Shuili Zhang, Yubin Wang, Yong Sun, Hongbo Xu
2024TSD-YOLOv5: A traffic sign recognition algorithm based on improved YOLOv5.
Geng Kong, Qing Yu
2024TSO-DETR: A Network for Small Object Detection of Cervical Cells in TCT Smear.
Xin Chen, Lin Yi, Li Liu, Di Lv, Ziheng Liu, Ran Liu
2024TaCoD: Tasks-Commonality-Aware World in Meta Reinforcement Learning.
Xuantang Xiong, Shuang Xu, Bo Xu
2024TaDFusion: Infrared and Visible Image Fusion Network Based on The Target Detection Task-driven Method.
Shaohui Jin, Qixu Liu, Hao Liu, Mingliang Xu
2024Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence.
Colton R. Crum, Cary Coglianese
2024Target Speech Extraction with Pre-trained AV-HuBERT and Mask-And-Recover Strategy.
Wenxuan Wu, Xueyuan Chen, Xixin Wu, Haizhou Li, Helen Meng
2024TargetSR:Towards Semantic location Real-World Image Super-Resolution with Diffusion Prior.
Shouhao Wu, Junjie Zhang
2024Task-Aware Transformer For Partially Supervised Retinal Fundus Image Segmentation.
Hailong Zeng, Jianfeng Liu, Yixiong Liang
2024Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training.
Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang
2024Task-aware Disentanglement for Object Detection.
Jun Yin, Keyang Wang, Fei Wu, Ming Shao
2024Teaching UML using a RAG-based LLM.
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2024Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training.
Rongwu Xu, Zhixuan Fang
2024Temporal Closing Path for PLM-based Temporal Knowledge Graph Completion.
Xin Zhou, Yongxue Shan, Zixuan Dong, Haijiao Liu, Xiaodong Wang
2024Temporal Encoding for Sequential Recommendation.
Zhichao Zhong, Ling Luo, Xiaohan He, Hao Li
2024Temporal Stamp Classifier: Classifying Short Sequences of Astronomical Alerts.
Daniel Neira O., Pablo A. Estévez, Francisco Förster
2024Temporally Consistent Unpaired Multi-domain Video Translation by Contrastive Learning.
Ruiyang Fan, Qiyu Sun, Ruihao Xia, Yang Tang
2024Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching.
Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda
2024Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift.
Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi
2024Text Spotting with a Unified Transformer Decoder.
Guanyi Zheng, Ming Qiu, Xing Gao
2024Text-Driven Editing of Real Images using Diffusion Models with Error Corrector.
Zhou Liu, Yican Zhang
2024The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation.
Özgü Göksu, Nicolas Pugeault
2024The Long-Term Memory Transformer with Multimodal Fusion for Radiology Report Generation.
Longlong Yu, Xiaoru Wang, Bowen Deng, Chenyang Ma
2024The Optimal Sampling Strategy for Few-shot Named Entity Recognition Based with Prototypical Network.
Junqi Chen, Zhaoyun Ding, Guang Jin, Guoli Yang
2024The Phenomenon of Correlated Representations in Contrastive Learning.
Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller
2024The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning.
Vincenzo De Paola, Giuseppe Calcagno, Alberto Maria Metelli, Marcello Restelli
2024The SAME score: Improved cosine based measure for semantic bias.
Sarah Schröder, Alexander Schulz, Barbara Hammer
2024The SES framework and Frequency domain information fusion strategy for Human activity recognition.
Han Wu, Haotian Feng, Lida Shi, Hongda Zhang, Hao Xu
2024The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model.
Sheng-Wei Huang, Jheng-Long Wu, Yu-Hsuan Wu
2024Thinking is Like Processing a Sequence of Spatial and Temporal Words.
Ignazio Gallo, Silvia Corchs
2024Time Series Anomaly Detection Based on Self-Masked Reconstruction Error With E-AVAE.
Yuefeng Ma, Shumei Wang, Zhongchao He
2024Time Series Domain Adaptation via Multiscale Feature Extraction and Mix-up.
Haoran Zhu, Ziyi Tan, Sitong Fang, Chi Yang
2024Time Series Forecasting Based on Structured Decomposition and Variational Autoencoder.
Zhiyuan Zhang, Xuhui Yao
2024Time Series Representation Learning with Supervised Contrastive Temporal Transformer.
Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey
2024Time-CoT for Enhancing Time Reasoning Factual Question Answering in Large Language Models.
Baosheng Yin, Naiyu Hu
2024Time-Decay Dynamic Graph Neural Network for Multivariate Time Series Forecasting.
Yi Luo, Baoyi Wang, Yutong Luo, Ruijuan Yin, Yueyang Wang, Qingyu Xiong
2024Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation.
Chakka Sai Pradeep, Neelam Sinha
2024Time-User Heterogeneous Neural Interaction Network For Cyberbullying Detection.
Guangkun Zhou, Xiaoyu Sean Lu, Rui Zhang, Haoyue Liu, Bo Huang
2024Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems.
Zhijian Luo, Zihan Huang, Jiahui Tang, Yueen Hou, Yanzeng Gao
2024Time-series Forecasting Coding: A New Processing Method Developed from Predictive Coding for Recurrent Neural Networks.
Yuto Wakui, Junya Kato, Ryo Natsuaki, Akira Hirose
2024Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks.
Hiroshi Mori, Norimichi Ukita
2024TinyLog: Log Anomaly Detection with Lightweight Temporal Convolutional Network for Edge Device.
Chuangying Meng, Ningjiang Chen
2024To Join or Not to Join: A Study on the Impact of Joint or Unimodal Representation Learning on Audio-Visual Emotion Recognition.
Amirhossein Hajavi, Harmanpreet Singh, Homa Fashandi
2024ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning.
Ling Dai, Ke Qin
2024Topic Partition of User-Generated Texts for User Identity Linkage Across Social Networks.
Xiaoyu Guo, Yan Liu, Fenlin Liu
2024Topological Clustering for Spatial Perception Using Fuzzy Reliability-Based Growing Region Method.
Masaya Shoji, Taichi Watanabe, Keisuke Nagashima, Ryohei Michikawa, Naoyuki Kubota
2024Topological Message Passing for Higher - Order and Long - Range Interactions.
Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò
2024Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks.
Biswadeep Chakraborty, Saibal Mukhopadhyay
2024Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach.
Paulo Roberto de Oliveira, Eduardo K. Viegas, Altair O. Santin, Pedro Horchulhack, Everton de Matos
2024Towards Compact and Explainable Deep Belief Networks.
Jan Bronec, Iveta Mrázová
2024Towards Ethical Dermatology: Mitigating Bias in Skin Condition Classification.
Anshul Pundhir, Sanchit Verma, Balasubramanian Raman
2024Towards Explaining Hypercomplex Neural Networks.
Eleonora Lopez, Eleonora Grassucci, Debora Capriotti, Danilo Comminiello
2024Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers.
Jianbin Jiao, Xina Cheng, Weijie Chen, Xiaoting Yin, Hao Shi, Kailun Yang
2024Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
Armand Bandiang Massoua, Abdoulaye Baniré Diallo, Mohamed Bouguessa
2024Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization.
Zihan Wang, Jiayu Xiao, Mengxiang Li, Zhongjiang He, Yongxiang Li, Chao Wang, Shuangyong Song
2024Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front.
Anne M. P. Canuto, Jhoseph Kelvin Lopes de Jesus, Daniel S. A. de Araujo
2024Towards Trustworthy AI: Raising awareness in marginalized communities.
Annabel Latham, Keeley A. Crockett
2024Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness.
Zongxiong Chen, Jiahui Geng, Derui Zhu, Qing Li, Sonja Schimmler, Manfred Hauswirth
2024Towards Zero-Shot Generalization: Mutual Information-Guided Hierarchical Multi-Agent Coordination.
Qingyang Zhang, Bo Xu
2024Traffic Flow Estimation Methods During Highway Reconstruction.
Yuanfu Guo, Yan Yang, Yang Liu
2024Training Deepfake Detection Model from Photos with Face Mask.
Yu-Hsun Lin, Yu-Shao Xu
2024Training Large Language Models to Follow System Prompt with Self-Supervised Fine-tuning.
Junyan Qiu, Yiping Yang
2024TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation.
Jiafeng Zhao, Hao Ni, Canghong Jin, Tongya Zheng, Longxiang Shi, Xiaoliang Wang
2024Transformer-Based Few-Shot Object Detection with Enhanced Fine-Tuning Stability.
Zuyu Chen, Yali Li, Shengjin Wang
2024Transparent Projection Networks for Interpretable Image Recognition.
Zhao Yang, Chao Zhang, Chunlin Chen, Huaxiong Li
2024Trasnet : A lightweighting Spatio-temporal Attention Network for Traffic Flow Prediction.
Minghao Li, Xuxiang Ta, Chao Chen
2024Tri-directional Hypergraph Contrastive Learning for Session-based Recommendation.
Da-Ren Dai, Richard Tzong-Han Tsai
2024Triple Discriminator GAN and Continuous Wavelet Transform for Volatility Forecasting.
Emmanuel Osei-Brefo
2024Tropical Neural Networks and Its Applications to Classifying Phylogenetic Trees.
Ruriko Yoshida, Georgios Aliatimis, Keiji Miura
2024Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune.
Chi Xu, Mengen Luo, Ercan Engin Kuruoglu
2024TurboLog: A Turbocharged Lossless Compression Method for System Logs via Transformer.
Baoming Chang, Zhaoyang Wang, Shuai Li, Fengxi Zhou, Yu Wen, Boyang Zhang
2024Two-Stage Diffusion Model for 3D Medical Image Segmentation.
Masaki Nishimura, Takaya Ueda, Eisuke Ito, Ikuko Nishikawa
2024Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression.
Chuang Pan, Yiran Huang, Qingzhen Wang, Jun Li, Jianhua Xu
2024Type-aware Enhanced Cylinder Embedding for Multi-hop Reasoning over Knowledge Graphs.
Yong Shang, Xiaoding Zhou, Yan Ming, Yuyan Zheng, Huiting Li, Weiyu Zhang
2024UAN: Unsupervised Adaptive Normalization.
Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2024UCSC-CGEC: A Unified Approach For Chinese Spelling Check And Grammatical Error Correction.
Jindian Su, Yunhao Xie, Yueqi Mou
2024UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification.
Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov
2024UUVSim: Intelligent Modular Simulation Platform for Unmanned Underwater Vehicle Learning.
Zekai Zhang, Jingzehua Xu, Jun Du, Weishi Mi, Ziyuan Wang, Zonglin Li, Yong Ren
2024UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer.
Weiwen Chen, Yingtie Lei, Shenghong Luo, Ziyang Zhou, Mingxian Li, Chi-Man Pun
2024Ultra-Short-Term Prediction Method of Photovoltaic Power Generation Based on Improved GRNN-LSTM Combination Model.
Yun Wu, Tianyang Li, Jieming Yang, Dan Feng
2024Uncertainty-Aware Explainable Recommendation with Large Language Models.
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang
2024Uncertainty-Aware Multi-view Arrhythmia Classification from ECG.
Mohd Ashhad, Sana Rahmani, Mohammed Fayiz, Ali Etemad, Javad Hashemi
2024Uncertainty-aware Dynamic Re-weighting Robust Classification.
Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang
2024Uncovering the Authentic RF Fingerprint: Exploiting Random Window Slicing and Complex-Valued Network.
Zhuo Zhang, Yiran Wang, Jing Bai, Zhu Xiao, Huaji Zhou
2024Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data.
Teena Rai, Yuan Shen, Jun He, Mufti Mahmud, David J. Brown, Jaspreet Kaur, Emma O'Dowd, David R. Baldwin, Richard B. Hubbard
2024Unifying Global and Local Scene Entities Modelling for Precise Action Spotting.
Kim Hoang Tran, Phuc Vuong Do, Ngoc Quoc Ly, Ngan Le
2024Unlocking Chain of Thought in Base Language Models by Heuristic Instruction.
Ren Zhuang, Ben Wang, Shuifa Sun, Yanlong Wang, Zhipeng Ding, Wenbo Liu
2024Unlocking the Potential of Convolutional Dynamics: A Novel Approach to Time Series Forecasting.
Xin Li, Jun Yu, Xiaodan Wei, Lijun Liu
2024UnrealFall: Overcoming Data Scarcity through Generative Models.
David Mulero-Pérez, Manuel Benavent-Lledó, David Ortiz-Perez, José García Rodríguez
2024Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi.
Rashedul Islam, Md. Shahanur Alam, Chris Yakopcic, Nayim Rahman, Simon Khan, Tarek M. Taha
2024Unsupervised Deep Hashing via Sample Weighted Contrastive Learning.
Ziyu Meng, Jingyuan Fang, Xiushan Nie
2024Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning.
Jiaxin Zhang, Mingyang Zhang, Maoguo Gong, Fenlong Jiang, Xiangming Jiang, Yu Zhou, Dan Feng
2024Unsupervised Graph Anomaly Detection on Directed Attribute Network.
Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan
2024Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences.
Jin Li, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
2024Unsupervised Replay Strategies for Continual Learning with Limited Data.
Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois
2024Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation.
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