ICDM A*

181 papers

YearTitle / Authors
2025A Data-Free Analytical Quantization Scheme for Deep Learning Models.
Ahmed Luqman, Khuzemah Qazi, Murray Patterson, Malik Jahan Khan, Imdadullah Khan
2025A Theoretical Framework for Self-Supervised Contrastive Learning for Continuous Dependent Data.
Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev
2025A Universal Metric of Dataset Similarity for Cross-Silo Federated Learning.
Ahmed Elhussein, Gamze Gürsoy
2025AI-Optimized Serverless Computing for Scalable Customer Sentiment Analysis in Open Banking APIs.
Rajesh Vayyala
2025Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting.
Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen
2025AdaGen: Adaptive Domain-Specific Classification via Zero-Shot Dataset Generation.
Zhan-Hao Xu, Fei-Yao Liang, Hui-Yu Zhou, Chang-Dong Wang
2025AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports.
Yi Xu, Yun Fu
2025Advancing Climate Model Interpretability: Feature Attribution for Arctic Melt Anomalies.
Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja
2025Adversarial Robustness in Cloud-Native Core Banking Systems: Topological Data Analysis (TDA) for AI Model Integrity Under Cyber-Physical Attacks.
Rajesh Vayyala
2025Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes.
Jaewan Chun, Seokbum Yoon, Minyoung Choe, Geon Lee, Kijung Shin
2025Auditing Approximate Machine Unlearning for Differentially Private Models.
Yuechun Gu, Jiajie He, Keke Chen
2025BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs.
Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy
2025Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression.
Guangyu Yang, Yu Duan, Quanxue Gao, Jingjing Xue, Xuhong Dong
2025Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering.
Hossein Abdi, Mingfei Sun, Wei Pan
2025Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles.
Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy
2025Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning.
Behnaz Soltani, Yipeng Zhou, Saqr Khalil Saeed Thabet, Elaf Alhazmi, Lina Yao, Quan Z. Sheng
2025Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation.
Yi Zhang, Lili Xie, Ruihong Qiu, Jiajun Liu, Sen Wang
2025Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting.
Senhao Liu, Zhiyu Guo, Zhiyuan Ji, Yueguo Chen, Yateng Tang, Yunhai Wang, Xuehao Zheng, Xiang Ao
2025Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search.
Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou
2025BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization.
Desta Haileselassie Hagos, Legand L. Burge, Anietie Andy, Anis Yazidi, Vladimir Vlassov
2025Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement.
Lei Gong, Aidong Zhang, Kishlay Jha
2025Bounds on Kappa-Error Diagrams for Diversity Analysis.
Krzysztof Grabczewski
2025Burger: Robust Graph Denoising-Augmentation Fusion and Multi-Semantic Modeling for Social Recommendation.
Yuqin Lan, Laurence T. Yang
2025CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neural Networks.
Gözde Ayse Tataroglu Özbulak, Yash Raj Shrestha, Jean-Paul Calbimonte
2025CGLE: Class-Label Graph Link Estimator for Link Prediction.
Ankit Mazumder, Srikanta Bedathur
2025CL
Yu-Xuan Zhou, Ru-Bin Li, Zhe Xuanyuan, Pei-Yuan Lai, Chang-Dong Wang
2025CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting.
Abdurahman Ali Mohammed, Catherine Fonder, Ying Wei, Wallapak Tavanapong, Donald S. Sakaguchi, Qi Li, Surya K. Mallapragada
2025Cellular Traffic Prediction Based on Two-Stage Cross-City Transfer Learning.
Hao Wen, Junhui Zhan, Jiahao Ling, Shimin Gong, Bo Gu
2025Class-Aware Spatio-Temporal Graph Contrastive Learning for Multivariate Time Series Data.
Yining Wang, Ke Li, Fujun Han, Shuhan Liu, Xuan Hou, Dejun Teng, Zhaohui Peng
2025Cluster Skeleton Exploration: An Effective and Scalable Active Constrained Clustering.
Xun Fu, Xin Wang, Yang Ni
2025ClusterSSFDA: Clustered Semi-Supervised Federated Domain Adaptation.
Michele Craighero, Taguhi Mesropyan, Diego Carrera, Beatrice Rossi, Diego Stucchi, Pasqualina Fragneto, Giacomo Boracchi
2025Contrastive Joint Embedding of Attributed Multiplex Networks.
Ylli Sadikaj, Yllka Velaj, Claudia Plant
2025Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning.
Haichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang
2025D-HUMOR: Dark Humor Understanding Via Multimodal Open-Ended Reasoning.
Sai Kartheek Reddy Kasu, Mohammad Zia Ur Rehman, Shahid Shafi Dar, Rishi Bharat Junghare, Dhanvin Sanjay Namboodiri, Nagendra Kumar
2025DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations.
Qingwen Zeng, Lining Chen, Jushang Qiu, Fangchen Liu, Huaming Chen, Ling Chen
2025DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming.
Arun Vignesh Malarkkan, Haoyue Bai, Anjali Kaushik, Yanjie Fu
2025DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models.
Kaichuan Kong, Dongjie Liu, Xiaobo Jin, Guanggang Geng, Zhiying Li, Jian Weng
2025DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models.
Honghui Xu, Shiva Shrestha, Wei Chen, Zhiyuan Li, Zhipeng Cai
2025Data-Driven Super-Resolution Reconstruction of Quasi-Geostrophic Turbulence Via Enhanced Diffusion Model and Fourier Neural Operator.
Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng
2025DelayNetODE: Delay-Aware System Modelling Using Graph Attention and Continuous-Time Neural Dynamics.
Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Sandra Kentish, Sally Gras, Uwe Aickelin
2025Detect, Investigate, Judge and Determine: A Knowledge-Guided Framework for Few-Shot Fake News Detection.
Ye Liu, Jiajun Zhu, Xukai Liu, Haoyu Tang, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen
2025Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation.
Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025Differentiable Distance Between Hierarchically-Structured Data.
Matej Zorek, Tomás Pevný, Václav Smídl
2025DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series.
Bo Liu, Hongyan Li, Shenda Hong
2025Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes.
Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao
2025Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity.
Victor Brabant, Angela Bonifati, Rémy Cazabet
2025Disentangled Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.
Ratri Mukherjee, Shailesh Dahal, Kishlay Jha
2025DynaCLIP: A Novel Framework for Video-Text Retrieval Via Dynamic Curriculum Learning and Adaptive Prompt Mixture-of-Experts.
Ning Chen, Xingming Liao, Chengzhong Lin, Zhuowei Wang, Peijian Zeng
2025EC-LDA: Label Distribution Inference Attack Against Federated Graph Learning with Embedding Compression.
Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen, Haifeng Qian, Junqing Gong
2025ECHO: Effective Coreset-Driven Learning via Hierarchical Optimizations.
Alec F. Diallo, Weihe Li, Paul Patras
2025EM-Based Transfer Learning for Gaussian Causal Models Under Covariate and Target Shift.
Mohammad Ali Javidian
2025Early Detection and Attribution of Structural Changes in Dynamic Networks.
Izhar Ali, Shen-Shyang Ho
2025Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms.
Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin
2025Effective Series Decomposition and Components Learning for Time Series Generation.
Zixuan Ma, Chenfeng Huang
2025Effective and Efficient Similarity Search for DNA Sequences Through de Bruijn Sum Graph Embedding.
Zhaochong Yu, Zihang Yang, Chris Ding, Chao Zeng, Feijuan Huang, Yuanzhe Cai
2025Efficient Cardinality Estimation with Query-induced Probability Inference.
Huashuai Liu, Xinran Wu, Kun Yue, Bingbing Xiang, Liang Duan
2025Efficient Large-Scale Learning of Minimax Risk Classifiers.
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2025Efficient Sequential Recommendation for Long Term User Interest Via Personalization.
Qiang Zhang, Hanchao Yu, Ivan Ji, Chen Yuan, Yi Zhang, Chihuang Liu, Xiaolong Wang, Christopher E. Lambert, Ren Chen, Chen Kovacs, Xinzhu Bei, Renqin Cai, Rui Li, Lizhu Zhang, Xiangjun Fan, Qunshu Zhang, Benyu Zhang
2025Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics.
Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao
2025Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding.
Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2025Exact Sparse Orthogonal Dictionary Learning.
Yarui Cao, Kai Liu
2025Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks.
Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin, KC Santosh, Chaowei Zhang, Yang Zhou
2025Explanation Space: A New Perspective into Time Series Interpretability.
Shahbaz Rezaei, Xin Liu
2025Explanations Go Linear: Post-Hoc Explainability for Tabular Data with Interpretable Meta-Encoding.
Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2025Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations.
Amine Bechar, Adel Oulefki, Abbes Amira, Fatih Kurogollu, Yassine Himeur
2025FAIM-RL: A Reinforcement Learning Approach for Fairness-Aware Adaptive Influence Maximization.
Fangzheng Wang, Yi Zhou, Yanhao Wang, Panagiotis Karras, Yuchen Li
2025FAP: A Foveation-Inspired Adversarial Purification Pipeline for Enhancing Robustness in Mammography Classification.
Ghazal Lalooha, Wenjie Ruan, Venus Haghighi, Xinshu Li, Quan Z. Sheng
2025Fast Percolation Centrality Approximation with Importance Sampling.
Antonio Cruciani, Leonardo Pellegrina
2025Fast Sampling for Privacy-Preserving Lazy Multiplicative Weight Update.
Xiaoyu Li, Zhao Song, Jiale Zhao
2025Feature Generation Machine for Learning with Label Proportions.
Jing Chai
2025Federated Domain Generalization with Latent Space Inversion.
Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025Federated Graph Out-of-Distribution Generalization via Representation Propagation and Scattering.
Yukai Zhu, He Sun, Mingjun Xiao
2025Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion.
Linfeng Luo, Zhiqi Guo, Fengxiao Tang, Zihao Qiu, Ming Zhao
2025Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration.
Yongcong Ye, Kai Zhang, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou
2025Flexible Windowing for Correlation-Aware Ranking in Anomalous Environments.
Anwesha Das, Henry Hoffmann, Alex Aiken
2025FreIE: Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks.
Jialong Sun, Xinpeng Ling, Jiaxuan Zou, Jiawen Kang, Kejia Zhang
2025GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction.
Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi
2025HadaSmileNet: Hadamard Fusion of Handcrafted and Deep-Learning Features for Enhancing Facial Emotion Recognition of Genuine Smiles.
Mohammad Junayed Hasan, Nabeel Mohammed, Shafin Rahman, Philipp Koehn
2025Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformer.
Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, Qingyun Liu
2025Heterogeneous Graph-Based Sequential Recommendation with Disentangled Methods.
Jinpeng Chen, Huachen Guan, Fan Zhang, Zhenye Yang, Jianxiang He, Hongbo Gao, Kaimin Wei
2025Hierarchical Structure Enhanced Graph Representation for Link Prediction.
Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan
2025Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems.
Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2025Hierarchy-Aware Generative Modeling for Enhanced Label Differential Privacy.
Yichen Hu, Changsheng Wan
2025High Rank Matrix Completion with Adaptive Neighbor Graphs.
Shiqin Wang, Kun Xie, Jiazheng Tian, Jigang Wen, Gaogang Xie
2025High-Quality Label Learning in Generalized Category Discovery.
Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng
2025Higher-Order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions.
Minkyu Kim, Hyun-Soo Choi, Jinho Kim
2025How Effective is In-Context Learning with Large Language Models for Rare Cell Identification in Single-Cell Expression Data?
Huaiyuan Yao, Zhenxiao Cao, Zhongman Wang, Xiewei Ni, Jinyan Dong, Hongyi Cai, Yuqiang Han, Xiao Luo
2025HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation.
Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha
2025HyperModal: Dynamic Hypergraph Contrastive Learning for Multi-Modal Representation.
Lulwah Alkulaib
2025HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search.
Hyunjin Choo, Fanchen Bu, Hyunjin Hwang, Young-Gyu Yoon, Kijung Shin
2025Hypergraph Representation Learning with Adaptive Broadcasting and Receiving.
Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025IEEE International Conference on Data Mining, ICDM 2025, Washington DC, USA, November 12-15, 2025
2025Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity.
Fanchen Bu, Geon Lee, Kijung Shin, Minyoung Choe
2025Imitation-Inspired Semantic-Guided Distillation for User-Conditioned Memorability Prediction.
Indrajeet Ghosh, Mohammad Saeid Anwar, Kasthuri Jayarajah, Nirmalya Roy
2025Improving Generalization Capabilities of Models Trained on Time Series Data Using Novel Downsampling Methods.
Ofir Landau, Nir Nissim
2025InSQuaD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity.
Souradeep Nanda, Anay Majee, Rishabh K. Iyer
2025Incorporating Dynamic Logic Alignment into Knowledge Graph Reasoning Based on Reinforcement Learning.
Yiyang Weng, Tong Li, Zifang Tang, Yiting Wang, Zhen Yang
2025Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection.
Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa
2025Information-Theoretic Active Correlation Clustering.
Linus Aronsson, Morteza Haghir Chehreghani
2025Interpretable and Interactive Deep Survival Analysis with Time-dependent EXtreme Gradient Integration.
Xinyu Qin, Ruiheng Yu, Armin Khayati, Zixiao Qiu, Gengyi Zou, Yan Li, Lu Wang
2025Invariant and Environment-specific Preference Learning with Auxiliary Information for Unbiased Recommendation.
Ting Bi, Hangtong Xu, Yuanbo Xu
2025KnobTuneX:LLM-Enhanced Automatic Database Tuning via Structured Reasoning.
Jianwen Yang, Qiuhong Zhang, Xinrun Xu, Yurong Wu, Shuo Zhang, Zhiming Ding
2025Koopman Spectral Dynamics for Interpretable and Predictive Semantic Drift in Language Models.
Satyam Mishra, Phung Thao Vi, Vu Minh Phuc, Shivam Mishra, Sundaram Mishra, Vishwanath Bijalwan, Tran Duc Tan
2025LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation.
Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025LR-IAD: Mask-Free Industrial Anomaly Detection with Logical Reasoning.
Peijian Zeng, Feiyan Pang, Zhanbo Wang, Aimin Yang
2025Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments.
Yanbing Zhou, Yimin Wen, Zhanhua Liu, Xiang Liu, Hang Yu, Yikui Zhai
2025Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
Haoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen
2025Learning from Two-Sample-Averaged Data.
Ryuta Matsuno, Akira Kitaoka
2025Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework.
Shiyuan Luo, Runlong Yu, Chonghao Qiu, Rahul Ghosh, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Xiaowei Jia
2025LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph.
Jiayi Chen, Kishlay Jha, Aidong Zhang
2025Link Completion for Dynamic Knowledge Graphs with Entity Drift.
Xiulin Zheng, Pei-Pei Li, Yi He, Xindong Wu
2025MAC: An Efficient Gradient Preconditioning Using Mean Activation Approximated Curvature.
Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko
2025MARCEL: Multifaceted SpAtial-TempoRal ContrastivE Learning for Generic Spatial-Temporal Representations.
Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, Jun Luo
2025MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection.
Walid Durani, Philipp Jahn, Thomas Seidl, Claudia Plant, Christian Böhm
2025MREF: Metric-Based Instance Re-Weighting for Rationale Enhancement.
Yibo Huang, Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee
2025MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning.
Yi Xu, Yitian Zhang, Yun Fu
2025Mining Trustworthy Symbolic Regression Models in Federated Settings.
Mattia Billa, Veronica Guidetti, Luca La Rocca, Federica Mandreoli
2025Modeling the Impact of U.S.-China Flight Connectivity on Pandemic Dynamics and China's Economy.
Yuhong Mu, Mengyu Jiang, Shanshan Zhang, Lichao Yang
2025Modularity-Fair Deep Community Detection.
Christos Gkartzios, Evaggelia Pitoura, Panayiotis Tsaparas
2025MuRAL-CPD: Active Learning for Multiresolution Change Point Detection.
Stefano Bertolasi, Diego Carrera, Diego Stucchi, Pasqualina Fragneto, Luigi Amedeo Bianchi
2025Multi Level Vision Language Adapter.
Noriaki Kawamae
2025Multi-Label Transfer Learning in Non-Stationary Data Streams.
Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou
2025Negative-Free Graph Contrastive Learning for Recommendation.
Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang
2025Neural Autoregressive Flows for Markov Boundary Learning.
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025OA
Kamal Berahmand, Razieh Sheikhpour, Farid Saberi-Movahed, Mahdi Jalili
2025OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis.
Xinfeng Liao, Xuanqi Chen, Lianxi Wang, Jiahuan Yang, Zhuowei Chen, Ziying Rong
2025On Predicting Post-Click Conversion Rate via Counterfactual Inference.
Junhyung Ahn, Sanghack Lee
2025On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models.
Shahbaz Rezaei, Avishai Halev, Xin Liu
2025On the Relationship Between Populated Regions and Adversarial Robustness in Deep Neural Networks.
Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, Jaesik Choi
2025One-Pass Multi-Label Learning with Missing Features and Labels.
Jun-Tong Wang, Cun-Yuan Xing, Wei Gao
2025Owen-Based Semantics and Hierarchy-Aware Explanation (O-Shap).
Xiangyu Zhou, Chenhan Xiao, Yang Weng
2025PG3D-ViT: A Prompt-Guided 3D Vision Transformer for Medical Image Classification.
Jue Gong, Ke Zuo, Qinglin Wang, Siqi Wang, Xiaoguang Mao, Jie Liu
2025POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization.
Yinghao Zhang, Xuanzhe Xiao, Jianxiong Guo, Zhiqing Tang, Qiufen Ni, Weili Wu
2025PULSAR: Advancing Interval-Based Time Series Classification to State-of-the-Art Performance.
Nestor Cabello, Lars Kulik
2025PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction.
Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang
2025ProHD: Projection-Based Hausdorff Distance Approximation.
Jiuzhou Fu, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2025Prompt Learning with Text-Augmented Cues for Out-of-Distribution Detection.
Mingxu Feng, Dian Chao, Yuxuan Zhang, Yang Yang, Weili Guo
2025PromptEG: Scalable Prompt-Based Temporal Generalization on Evolving Graphs.
Tingyan Ma, Bin Lu, Ze Zhao, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2025QuadraFormer: Unified Query and Resource Forecasting for Database Workloads.
Songwei Han, Jiangtao Cui, Luming Sun, Yingfan Liu, Zhangqian Mu, Ming Li
2025Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM.
Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
2025Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations.
Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew
2025Resilient Pattern Mining.
Pengxin Bian, Panagiotis Charalampopoulos, Lorraine A. K. Ayad, Manal Mohamed, Solon P. Pissis, Grigorios Loukides
2025Rethinking Invertible Neural Networks: Architecture Tradeoffs and Customization Across Domains.
Jingyi Yuan, Muhao Guo, Yang Weng
2025Retrieval-Augmented Feature Generation for Domain-Specific Classification.
Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dakshak Keerthi Chandra, Yu-Zhong Chen, Fei Xie, Kunpeng Liu
2025Revisiting One-Versus-One and One-Versus-Rest: Insights into Imbalanced Multi-Class Classification.
Kuan-Ting Chen, Chih-Jen Lin
2025SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining.
Hamed Jelodar, Mohammad Meymani, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani
2025SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks.
Sikai Cheng, Amira Hijazi, Jeren Konak, Alan L. Erera, Pascal Van Hentenryck
2025STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery.
Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang
2025STRIDE: Spectral-Temporal Representation and Instance-Weighted Domain Expansion.
Ngoc Chi Nam Doan, Van Tung Tran, Karkulali Pugalenthi
2025Sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-Cell Data.
Carolina E. Atria, Yitao Cai, Pascal Weber, Anna Beer, Nils M. Kriege, Christian Boehm, Roger Revilla-i-Domingo, Claudia Plant
2025Score-Based Integrated Gradient for Root Cause Explanations of Outliers.
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025Selective Cloud Offloading for Accurate and Efficient Object Detection.
Davood Dehghani, Yueting Chen, Xiaohui Yu, Nick Koudas
2025Self-Supervised Distribution Correction to Boost Information Gain in Offline Reinforcement Learning.
Jingyi Yuan, Hamad Alduaij, Yang Weng
2025Sharpness-Aware Optimization Through Variance Suppression on Deep AUC Maximization.
Xinwen Zhang, Hongchang Gao
2025Speciated Unsupervised Skill Discovery.
Ryan Wickman, Xiaofei Zhang
2025Spline-Interpolated Density and Dependency-Aware Outlier Scoring for Lightweight Deployment.
Angela Li, David Li
2025TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening.
Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo
2025TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation.
MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2025TabFairGDT: A Fast Fair Tabular Data Generator Using Autoregressive Decision Trees.
Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025Test-Time GNN Model Evaluation on Dynamic Graphs.
Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan
2025Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts.
Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan
2025The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning.
Yiming Lin, Yuchen Niu, Shang Wang, Kaizhu Huang, Qiufeng Wang, Xiao-Bo Jin
2025Towards Generalizable Time Series Forecasting Via IB-Regularized Transformer-Diffusion.
Dagyeong Na, Jinho Kang, Junseok Kwon
2025Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals.
Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan
2025Tracking Latent Communities Evolution with Hierarchical Edge Partition Models.
Xincan Yu, Nan Fang, Hao Liao, Sikun Yang
2025Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention.
Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan
2025Trivial Graph Features and Classical Learning are Enough to Detect Random Anomalies.
Matthieu Latapy, Stephany Rajeh
2025Trusted Collective Learning for Conflictive Multi-View Decision-Making.
Nengjun Zhu, Zhiyu Zhang, Chenmeijin Liang, Jian Cao, Siji Zhu, Xiao Wei
2025Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems.
Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao
2025UP-Bern: A Unified Progressive Transition Framework for Biomedical Entity Recognition and Normalization.
Yanlong Qiu, Canqun Yang, Siqi Wang
2025Uncertainty Awareness and Trust in Explainable AI - On Trust Calibration Using Local and Global Explanations.
Carina Newen, Daniel Bodemer, Sonja Glantz, Emmanuel Müller, Magdalena Wischnewski, Lenka Schnaubert
2025Uncertainty Quantification of Conformalized Spatio-Temporal Graph Convolutional Network on Forecasting.
Yang Zhao, Yuzhou Chen, Xinghua Shi
2025Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers.
Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen
2025WWAggr: A Window Wasserstein-Based Aggregation for Ensemble Change Point Detection.
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
2025When LLM Meets Simplicial Complex: A Novel Graph Prompt Learning on Ethereum Transaction Networks.
Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Yuzhou Chen
2025XCalBid: Robust and Efficient Real-Time Bidding Via Exploratory Pre-Training and Calibrated Q-Learning.
Ningyuan Zhao, Fan Yang
2025Zero-Shot Cross-City Trajectory Prediction Using Hypernetworks.
Jonas Stickel, Andrea Tundis, Max Mühlhäuser
2025fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning.
Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2025xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.
Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen