Accepted Papers

Regular Papers

# Paper ID Title Author Names In-person Presentation
1 DM222 Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation Yue Wang (Central University of Finance and Economics), Dehang Fu (Central University of Finance and Economics), Jie Tan (Central University of Finance and Economics), Junxiao Han (Hangzhou City University), Yao Wan (Huazhong University of Science and Technology), Lixin Cui (Central University of Finance and Economics), Lu Bai (Beijing Normal University) and PhilipS Yu (University of Illinois at Chicago) No
2 DM234 MARCEL: Multifaceted Spatial-Temporal Contrastive Learning for Generic Spatial-Temporal Representations Yuhang Liu (The State University of New York at Binghamton), Yingxue Zhang (Binghamton University), Xin Zhang (San Diego State University), Yu Yang (Lehigh University), Yanhua Li (Worcester Polytechnic Institute) and Jun Luo (Logistics and Supply Chain MultiTech R&D Centre) Yes
3 DM235 Rethinking Invertible Neural Networks: Architecture Tradeoffs and Customization Across Domains Jingyi Yuan (Arizona State University), Muhao Guo (Arizona State University) and Yang Weng (Arizona State University) No
4 DM238 Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection Ye Liu (University of Science and Technology of China), Jiajun Zhu (University of Science and Technology of China), Xukai Liu (University of Science and Technology of China), Haoyu Tang (University of Science and Technology of China), Yanghai Zhang (University of Science and Technology of China), Kai Zhang (University of Science and Technology of China), Xiaofang Zhang (The Hong Kong University of Science and Technology) and Enhong Chen (University of Science and Technology of China) Yes
5 DM241 Improving Generalization Capabilities of Models Trained on Time Series Data Using Novel Downsampling Methods Ofir Landau (Ben-Gurion University) and Nir Nissim (Nir Nissim) Yes
6 DM245 Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models Haoyu Tang (University of Science and Technology of China), Ye Liu (University of Science and Technology of China), Xi Zhao (The Hong Kong University of Science and Technology), Xukai Liu (University of Science and Technology of China), Yanghai Zhang (University of Science and Technology of China), Kai Zhang (University of Science and Technology of China), Xiaofang Zhou (The Hong Kong University of Science and Technology) and Enhong Chen (University of Science and Technology of China) Yes
7 DM247 Early Detection and Attribution of Structural Changes in Dynamic Networks Izhar Ali (Rowan University) and Shen-Shyang Ho (Rowan University) Yes
8 DM255 Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding Chin-Yuan Yeh (National Taiwan University), Hsi-Wen Chen (National Taiwan University), De-Nian Yang (Academia Sinica), Wang-Chien Lee (The Pennsylvania State University), Philip Yu (University of Illinois) and Ming-Syan Chen (National Taiwan University) Yes
9 DM257 Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformers Xiaoou Zhang (IIE), Chuan Zhou (Academy of Mathematics and Systems Science, Chinese Academy of Sciences), Yang Liu (Academy of Mathematics and Systems Science, Chinese Academy of Sciences), shuai zhang (Chinese Academy of Science), Peng zhang (Guangzhou University), Yujia Zhu (IIE) and qingyun liu (Institute of Information Engineering, Chinese Academy of Sciences) No
10 DM267 Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms Fanchen Bu (KAIST), Ruochen Yang (University of Southern California), Paul Bogdan (University of Southern California) and Kijung Shin (KAIST) No
11 DM268 Explanation Space: A New Perspective into Time Series Interpretability shahbaz Rezaei (University of California, Davis) and Xin Liu (University of California, Davis) Yes
12 DM274 Explanations Go Linear: Post-hoc Explainability for Tabular Data with Interpretable Meta-Encoding Simone Piaggesi (University of Pisa, Pisa), Riccardo Guidotti (University of Pisa), Fosca Giannotti (Scuola Normale Superiore, Pisa) and Dino Pedreschi (University of Pisa, Pisa) Yes
13 DM284 Cluster Skeleton Exploration: an Effective and Scalable Active Constrained Clustering Xun Fu (Southwest Petroleum University), Xin Wang (Southwest Petroleum University) and Yang Ni (Southwest Petroleum University) No
14 DM308 Effective and efficient similarity search for DNA sequences through de Bruijn sum graph embedding Zhaochong Yu (Shenzhen Technology University, College of Big Data and Internet), Zihang Yang (Shenzhen Technology University, College of Big Data and Internet), Chris Ding (The Chinese University of Hong Kong - Shenzhen, College of Data Science), Chao Zeng (Waseda University), Feijuan Huang (Shenzhen Second People’s Hospital, Shenzhen, China, Shenzhen Institute of Translational Medicine) and Yuanzhe Cai (Shenzhen Technology University, College of Big Data and Internet) Yes
15 DM316 HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation Amir Shariatmadari (University of Virginia), Sikun Guo (University of Virginia), Nathan Sheffield (University of Virginia), Aidong Zhang (University of Virginia) and Kishlay Jha (University of Iowa) Yes
16 DM317 Empowering Large Language Models for Time Series Forecasting with Patterns and Semantics Jialiang Tang (Nanjing University of Science and Technology), Shuo Chen (Nanjing University), Chen Gong (Shanghai Jiao Tong University), Jing Zhang (Wuhan University) and Dacheng Tao (Nanyang Technological University) No
17 DM325 FAIM-RL: A Reinforcement Learning Approach for Fairness-aware Adaptive Influence Maximization Fangzheng Wang (East China Normal University), Yi Zhou (East China Normal University), Yanhao Wang (East China Normal University), Panagiotis Karras (University of Copenhagen) and Yuchen Li (Singapore Management University) No
18 DM328 Efficient Sequential Recommendation for Long Term User Interest Via Personalization Qiang Zhang (Meta), Hanchao Yu (Meta), Ivan Ji (Meta), Chen Yuan (Meta), Yi Zhang (Meta), Chihuang Liu (Meta), Xiaolong Wang (Meta), Christopher E. Lambert (meta), Ren Chen (meta), Chen Kovacs (meta), Xinzhu Bei (Meta), Renqin Cai (meta), Rui Li (meta), Lizhu Zhang (meta), Xiangjun Ma (META), Qunshu Zhang (Meta) and Benyu Zhang (Meta) Yes
19 DM340 PiGLeT: Probabilistic Message Passing for Semi-supervised Link Sign Prediction Ka Hyun Park (Seoul National University), Junghun Kim (Seoul National University), Jinhong Jung (Soongsil University) and U Kang (Seoul National University) Yes
20 DM341 A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein (Columbia University) and Gamze Gursoy (Columbia University) No
21 DM342 Uncertainty Awareness and Trust in Explainable AI - On Trust Calibration using Local and Global Explanation Carina Newen (TU Dortmund University, Research Center Trustworthy Data Science and Security), Daniel Bodemer (University of Duisburg-Essen), Sonja Glantz (University of Duisburg-Essen), Emmanuel Müller (TU Dortmund University, Research Center Trustworthy Data Science and Security), Magdalena Wischnewski (University of Duisburg-Essen) and Lenka Schnaubert (University of Nottingham) Yes
22 DM355 Sharpness-Aware Optimization Through Variance Suppression on Deep AUC Maximization Xinwen Zhang (Temple University) and Hongchang Gao (Temple University) Yes
23 DM362 Fast Sampling for Privacy-Preserving Lazy Multiplicative Weight Update Xiaoyu Li (Stevens Institute of Technology), Zhao Song (University of California, Berkeley) and Jiale Zhao (Guangdong University of Technology) No
24 DM374 Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration Yongcong Ye (University of Science and Technology of China), Kai Zhang (University of Science and Technology of China), Yanghai Zhang (University of Science and Technology of China), Enhong Chen (University of Science and Technology of China), Longfei Li (Ant Group) and Jun Zhou (Ant Group) No
25 DM401 Exact Sparse Orthogonal Dictionary Learning Yarui Cao (Clemson University) and Kai Liu (Clemson University) Yes
26 DM404 Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering Hossein Abdi (The University of Manchester), Mingfei Sun (The University of Manchester) and Wei Pan (The University of Manchester) No
27 DM418 HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search Hyunjin Choo (KAIST), Fanchen Bu (KAIST), Hyunjin Hwang (KAIST), Young-Gyu Yoon (KAIST) and Kijung Shin (KAIST) Yes
28 DM424 DelayNetODE: Delay-Aware System Modelling Using Graph Attention and Continuous-Time Neural Dynamics Saumya Karunadhika (The University of Melbourne), Ling Luo (The University of Melbourne), Bastian Oetomo (The University of Melbourne), Michele Discepola (The University of Melbourne), Sandra Kentish (The University of Melbourne), Sally Gras (The University of Melbourne) and Uwe Aickelin (The University of Melbourne) Yes
29 DM428 XCalBid: Robust and Efficient Real-Time Bidding via Exploratory Pre-training and Calibrated Q-Learning Ningyuan Zhao (Xiamen University) and Fan Yang (Xiamen University) No
30 DM436 Invariant and Environment-specific Preference Learning with Auxiliary Information for Unbiased Recommendation Ting Bi (Jilin University), Hangtong Xu (Jilin University) and Yuanbo Xu (Jilin University) No
31 DM439 High-quality label learning in Generalized Category Discovery Yu Duan (Xidian University), Junzhi He (Northwestern Polytechnical University), feiping Nie (Northwestern Polytechnical University), Quanxue Gao (Xidian University) and Cheng Deng (Xidian University) No
32 DM442 PromptEG: Scalable Prompt-based Temporal Generalization on Evolving Graphs Tingyan Ma (Shanghai Jiao Tong University), Bin Lu (Shanghai Jiao Tong University), Ze Zhao (Shanghai Jiao Tong University), Xiaoying Gan (Shanghai Jiao Tong University), Luoyi Fu (Shanghai Jiao Tong University), Xinbing Wang (Shanghai Jiao Tong University) and Chenghu Zhou (Chinese Academy of Sciences) No
33 DM449 AdaGen: Adaptive Domain-Specific Classification via Zero-shot Dataset Generation Zhan-Hao Xu (School of Computer Science and Engineering, Sun Yat-sen University), Fei-Yao Liang (School of Computer Science and Engineering, Sun Yat-sen University), Hui-Yu Zhou (Guangxi Zhuang Autonomous Region Information Center) and Chang-Dong Wang (Sun Yat-sen University) No
34 DM450 LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng (Guang Dong University of Technology), Feiyan Pang (Guangdong University of Technology), Zhanbo Wang (Guangdong University of Technology) and Aimin Yang (Lingnan Normal University) No
35 DM463 High Rank Matrix Completion with Adaptive Neighbor Graphs Shiqin Wang (Hunan University), Kun Xie (Hunan University), Jiazheng Tian (Hunan University), Jigang Wen (Hunan University of Science and Technology) and Gaogang Xie (University of Chinese Academy of Sciences) No
36 DM466 OTESGN: Optimal Transport Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis Xinfeng Liao (Guangdong University of Foreign Studies), Xuanqi Chen (Guangdong University of Foreign Studies), Lianxi Wang (Guangdong University of Foreign Studies), Jiahuan Yang (Guangdong University of Foreign Studies), Zhuowei Chen (Guangdong University of Foreign Studies) and Ziying Rong (Guangdong University of Foreign Studies) No
37 DM489 DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Honghui Xu (Kennesaw State University), Shiva Shrestha (Kennesaw State University), Wei Chen (Nexa AI), Zhiyuan Li (Nexa AI) and Zhipeng Cai (Georgia State University) Yes
38 DM491 The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Yiming Lin (Xi'an Jiaotong-Liverpool University), Yuchen Niu (Xi'an Jiaotong-Liverpool University), Shang Wang (Xi'an Jiaotong-Liverpool University), Kaizhu Huang (Duke Kunshan University), Qiufeng Wang (Xi'an Jiaotong-Liverpool University) and Xiao-Bo Jin (Xi'an Jiaotong-Liverpool University) No
39 DM507 A Data-Free Analytical Quantization Scheme for Deep Learning Models Ahmed Luqman (Lahore University of Management Sciences), Khuzemah Qazi (Lahore University of Management Sciences), Murray Patterson (Georgia State University), Malik Jahan Khan (Lahore University of Management Sciences) and Imdadullah Khan (Lahore University of Management Sciences) No
40 DM509 SPOT: Spatio-temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks Sikai Cheng (AI4OPT, Georgia Institute of Technology), Amira Hijazi (AI4OPT, Georgia Institute of Technology), Jeren Konak (AI4OPT, Georgia Institute of Technology), Alan Erera (AI4OPT, Georgia Institute of Technology) and Pascal Van Hentenryck (AI4OPT, Georgia Institute of Technology) Yes
41 DM512 Resilient Pattern Mining Pengxin Bian (King's College London), Panagiotis Charalampopoulos (King's College London), Lorraine Ayad (Brunel University), Manal Mohamed (King's College London), Solon Pissis (CWI) and Grigorios Loukides (King's College London) Yes
42 DM519 CBLRS: a Copula-Bayesian Log-Ratio Score Framework for Lightweight Outlier Detection Da Li (Stealth Startup) No
43 DM522 CL³M-Rec: Contrastive Learning Enhanced LLMs for Recommendation Yu-Xuan Zhou (Beijing Normal-Hong Kong Baptist University), Ru-Bin Li (The Hong Kong University of Science and Technology), Zhe Xuan-Yuan (Beijing Normal-Hong Kong Baptist University), Pei-Yuan Lai (Sun Yat-sen University) and Chang-Dong Wang (Sun Yat-sen University) Yes
44 DM525 DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series Bo Liu (Peking University), Hongyan Li (Peking University) and Shenda Hong (Peking University) Yes
45 DM526 Test-Time Graph Rebirth For GNN Generalization Under Distribution Shifts Xin Zheng (Griffith University), Bo Li (Griffith University), Yu Zheng (Latrobe University), Qin Zhang (Shenzhen University), Haishuai Wang (Zhejiang University), Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)), Alan Wee-Chung Liew (Griffith University) and Shirui Pan (Griffith University) Yes
46 DM527 Test-time GNN Model Evaluation on Dynamic Graphs Bo Li (Griffith University), Xin Zheng (Griffith University), Ming Jin (Griffith University), Can Wang (Griffith University) and Shirui Pan (Griffith University) Yes
47 DM528 Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression Guangyu Yang (Xidian University), Yu Duan (Xidian University), Quanxue Gao (Xidian University), Jingjing Xue (Xidian University) and Xvhong Dong (Xi`an Shiyou University) No
48 DM531 Learning from Two-Sample Averaged Data Ryuta Matsuno (NEC Corporation) and Akira Kitaoka (NEC Corporation) No
49 DM540 Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes Jaewan Chun (KAIST), Seokbum Yoon (KAIST), Minyoung Choe (KAIST), Geon Lee (KAIST) and Kijung Shin (KAIST) Yes
50 DM541 Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems Zhen Yu Deng (School of Computer Science and Software Engineering,Southwest Petroleum University), Ying Liu (School of Computer Science and Software Engineering,Southwest Petroleum University), Ming Tang (School of Physics and Electronic Science, East China Normal University) and Xiangyu Zhao (City University of Hong Kong) No
51 DM544 QuadraFormer: Unified Query and Resource Forecasting for Database Workloads Songwei Han (Xidian University), Jiangtao Cui (Xidian University), Luming Sun (Shanghai Yunxi Technology Co., Ltd.), Yingfan Liu (Xidian University), Zhangqian Mu (Xidian University) and Ming Li (Shanghai Yunxi Technology Co., Ltd.) No
52 DM548 MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature Hyunseok Seung (University of Georgia), Jaewoo Lee (University of Georgia) and Hyunsuk Ko (Hanyang University) Yes
53 DM561 Retrieval-Augmented Feature Generation for Domain-Specific Classification Xinhao Zhang (Portland State University), Jinghan Zhang (Portland State University), Fengran Mo (University of Montreal), Dakshak Keerthi Chandra (Analog Devices), Yuzhong Chen (Visa Research), Fei Xie (Portland State University) and Kunpeng Liu (Portland State University) Yes
54 DM562 Trusted Collective Learning for Conflictive Multi-View Decision-Making Nengjun Zhu (Shanghai University), Zhiyu Zhang (Shanghai University), Chenmeijin Liang (University College London), Jian Cao (Shanghai Jiao Tong University), Siji Zhu (Shanghai Jiao Tong University School of Medicine) and Xiao Wei (Shanghai University) No
55 DM567 PG3D-ViT: A Prompt-Guided 3D Vision Transformer for Medical Image Classification Gong Juan (National University of Defense Technology), Zuo Ke (National University of Defense Technology), Wang Qinglin (National University of Defense Technology), Wang Siqi (National University of Defense Technology), Mao Xiaoguang (National University of Defense Technology) and Liu Jie (National University of Defense Technology) No
56 DM570 KnobTuneX:LLM-Enhanced Automatic Database Tuning via Structured Reasoning Jianwen Yang (University of Chinese Academy of Sciences), Qiuhong Zhang (University of Chinese Academy of Sciences), Xinrun Xu (University of Chinese Academy of Sciences), Yurong Wu (University of Chinese Academy of Sciences), Shuo Zhang (Institute of Software, Chinese Academy of Sciences) and Zhiming Ding (Institute of Software, Chinese Academy of Sciences) No
57 DM576 POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization Yinghao Zhang (Beijing Normal-Hong Kong Baptist University), Xuanzhe Xiao (Hong Kong Baptist University), Jianxiong Guo (Beijing Normal University), Zhiqing Tang (Beijing Normal University), Qiufen Ni (Guangdong University of Technology) and Weili Wu (The University of Texas at Dallas) No
58 DM577 Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting Senhao Liu (Renmin University of China), Zhiyu Guo (Tencent Weixin Group), Zhiyuan Ji (Renmin University of China), Yueguo Chen (Renmin University of China), Yateng Tang (Tencent Weixin Group), Yunhai Wang (Renmin University of China), Xuehao Zheng (Tencent Weixin Group) and Xiang Ao (University of Chinese Academy of Sciences) Yes
59 DM579 Metric-Guided Instance Re-weighting for Reliable Explainability Yibo Huang (The University of Auckland), Zixin Kuang (The University of Auckland), Meng-Fen Chiang (National Yang Ming Chiao Tung University) and Wang-Chien Lee (The Pennsylvania State University) Yes
60 DM588 On Predicting Post-Click Conversion Rate via Counterfactual Inference Junhyung Ahn (Viva Republica Inc.) and Sanghack Lee (Seoul National University) Yes
61 DM589 STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery Xiaolin Han (Northwestern Polytechnical University), Tianwen Zhang (Northwestern Polytechnical University), Yuke Li (Northwestern Polytechnical University), Gaukhar ISSAYEVA (Northwestern Polytechnical University), Chenhao Ma (The Chinese University of Hong Kong, Shenzhen), Lingyun Song (Northwestern Polytechnical University) and Xuequn Shang (Northwestern Polytechnical University) No
62 DM592 DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models Kaichuan Kong (Jinan University), Dongjie Liu (Jinan University), Xiaobo Jin (Xi’an Jiaotong-Liverpool University), Guanggang Geng (Jinan University), Zhiying Li (Jinan University) and Jian Weng (Jinan University) No
63 DM600 Visual-Language Prompt Framework over Knowledge Differences Noriaki Kawamae (NTT Comwaare) Yes
64 DM615 Federated Graph Out-of-Distribution Generalization via Representation Propagation and Scattering Yukai Zhu (University of Science and Technology of China), He Sun (University of Science and Technology of China) and Mingjun Xiao (University of Science and Technology of China) No
65 DM624 Modularity-Fair Deep Community Detection Christos Gkartzios (University of Ioannina), Evaggelia Pitoura (University of Ioannina) and Panayiotis Tsaparas (University of Ioannina) Yes
66 DM646 Information-Theoretic Active Correlation Clustering Linus Aronsson (Chalmers University of Technology) and Morteza Haghir Chehreghani (Chalmers University of Technology) Yes
67 DM650 MuRAL-CPD: Active Learning for Multiresolution Change Point Detection Stefano Bertolasi (Università di Trento), Diego Carrera (STMicroelectronics), Diego Stucchi (STMicroelectronics), Pasqualina Fragneto (STMicroelectronics) and Luigi Amedeo Bianchi (Università di Trento) Yes
68 DM661 A theoretical framework for self-supervised contrastive learning for continuous dependent data Alexander Marusov (Skolkovo Institute of Science and Technology), Aleksandr Yugay (Moscow Institute of Physics and Technology) and Alexey Zaytsev (Skolkovo Institute of Science and Technology) No
69 DM666 fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning Dian Chen (Virginia Tech), Qi Zhang (Virginia Tech), Lance Kaplan (US DEVCOM Army Research Laboratory), Audun Josang (University of Oslo), Donghyun Jeong (University of the District of Columbia), Feng Chen (The University of Texas at Dallas, Richardson) and Jin-Hee Cho (Virginia Tech) Yes
70 DM682 Zero-Shot Cross-City Trajectory Prediction Using Hypernetworks Jonas Gunkel (German Aerospace Center), Andrea Tundis (German Aerospace Center) and Max Mühlhäuser (Technical University of Darmstadt) Yes
71 DM684 Efficient Large-Scale Learning of Minimax Risk Classifiers Kartheek Bondugula (Basque Center for Applied Mathematics), Santiago Mazuelas (Basque Center for Applied Mathematics) and Aritz Perez (Basque Center for Applied Mathematics) Yes
72 DM699 Hypergraph Representation Learning with Adaptive Broadcasting and Receiving Tianyi Ma (University of Notre Dame), Yiyue Qian (Amazon), Zheyuan Zhang (University of Notre Dame), Zehong Wang (University of Notre Dame), Shinan Zhang (Amazon), Chuxu Zhang (University of Connecticut) and Yanfang Ye (University of Notre Dame) Yes
73 DM706 Interpretable and Interactive Deep Survival Analysis with Time-dependent EXtreme Gradient Integration Xinyu Qin (University of Houston), Ruiheng Yu (University of Houston), Armin Khayati (University of Houston), Zixiao Qiu (University of Toronto), Gengyi Zou (MD Anderson Cancer Center), Yan Li (University of Toronto) and Lu Wang (University of Houston) Yes
74 DM714 CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting Abdurahman Ali Mohammed (Iowa State University), Catherine Fonder (Iowa State University), Ying Wei (Iowa State University), Wallapak Tavanapong (Iowa State University), Donald S Sakaguchi (Iowa State University), Surya K. Mallapragada (Iowa State University) and Qi Li (Iowa State University) Yes
75 DM715 Advancing climate model interpretability: Feature attribution for Arctic melt anomalies Tolulope Ale (Institute for Harnessing Data and Model Revolution in the Polar Regions, University of Maryland, Baltimore County, Baltimore, MD), Nicole-Jeanne Schlegel (National Oceanic and Atmospheric Administration/OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ) and Vandana Janeja (University of Maryland, Baltimore County) Yes
76 DM723 xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection Kamil Faber (AGH University of Krakow), Marcin Pietron (AGH University of Krakow), Dominik Zurek (AGH University of Krakow) and Roberto Corizzo (American University) Yes
77 DM734 Incorporating Interactive User Feedback through Precision Matrix Adjustments for High-Dimensional Anomaly Detection Taylor Dinkins (Oregon State University), Weng-Keen Wong (Oregon State University), Haifeng Chen (NEC Labs America), Yanchi Liu (NEC Corporation) and Kai Ishikawa (NEC Corporation) Yes
78 DM739 Efficient Markov Boundary Discovery via Neural Autoregressive Information Gathering Khoa Nguyen (Deakin Applied Artificial Intelligence Initiative), Bao Duong (Deakin Applied Artificial Intelligence Initiative), Viet Huynh (Edith Cowan University) and Thin Nguyen (Deakin Applied Artificial Intelligence Initiative) Yes
79 DM752 MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning Yi Xu (Northeastern University), Yitian Zhang (Northeastern University) and Yun Fu (Northeastern University) Yes
80 DM762 LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation Jiajun Shen (Florida Atlantic University), Yufei Jin (Florida Atlantic University), Yi He (William & Mary) and Xingquan Zhu (Florida Atlantic University) Yes
81 DM773 Negative-Free Graph Contrastive Learning for Recommendation Junping Liu (Wuhan Textile University), Mingchao Yu (Wuhan Textile University), Xinrong Hu (Wuhan Textile University), Jie Yang (University of Wollongong), Yi Guo (Western Sydney University), Wanqing Li (University of Wollongong) and Wenbin Zhang (Florida International University) Yes
82 DM775 EC-LDA: Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression Tong Cheng (East China Normal University), Jie Fu (Stevens Institute of Technology), Xinpeng Ling (East China Normal University), Huifa Li (East China Normal University), Zhili Chen (East China Normal University), Haifeng Qian (East China Normal University) and Junqing Gong (East China Normal University) No
83 DM779 Imitation-Inspired Semantic-Guided Distillation for User-Conditioned Memorability Prediction Indrajeet Ghosh (University of Maryland Baltimore County), Mohammad Saeid Anwar (University of Maryland Baltimore County), Kasthuri Jayarajah (New Jersey Insitute of Technology) and Nirmalya Roy (University of Maryland Baltimore County) Yes
84 DM792 HadaSmileNet: Hadamard fusion of handcrafted and deep-learning features for enhancing facial emotion recognition of genuine smiles Mohammad Junayed Hasan (Johns Hopkins University), Nabeel Mohammed (North South University, Dhaka, Bangladesh), Shafin Rahman (North South University, Dhaka, Bangladesh) and Philipp Koehn (Johns Hopkins University) Yes
85 DM800 Multi-Label Transfer Learning in Non-Stationary Data Streams Honghui Du (University College Dublin), Leandro Minku (University of Birmingham), Aonghus Lawlor (University College Dublin) and Huiyu Zhou (University of Leicester) Yes
86 DM806 Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework Shiyuan Luo (University of Pittsburgh), Runlong Yu (University of Pittsburgh), Chonghao Qiu (University of Pittsburgh), Rahul Ghosh (University of Minnesota), Robert Ladwig (Aarhus University), Paul Hanson (University of Wisconsin - Madison), Yiqun Xie (University of Maryland) and Xiaowei Jia (University of Pittsburgh) Yes
87 DM821 CGLE: Class-label Graph Link Estimator for Link prediction Ankit Mazumder (IIT Delhi) and Srikanta Bedathur (IIT Delhi) Yes
88 DM840 ProHD: Projection-Based Hausdorff Distance Approximation Jiuzhou Fu (University of Washington), Luanzheng Guo (Pacific Northwest National Laboratory), Nathan Tallent (Pacific Northwest National Laboratory) and Dongfang Zhao (University of Washington) Yes
89 DM846 Effective Series Decomposition and Components Learning for Time Series Generation Zixuan Ma (University of Pennsylvania) and Chenfeng Huang (University of Southern California) Yes
90 DM872 D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning Sai Kartheek Reddy Kasu (Indian Institute of Information Technology Dharwad), Mohammad Zia Ur Rehman (Indian Institute of Technology Indore), Shahid Shafi Dar (Indian Institute of Technology Indore), Rishi Bharat Junghare (Indian Institute of Technology Indore), Dhanvin Sanjay Namboodiri (Malaviya National Institute of Technology Jaipur) and Nagendra Kumar (Indian Institute of Technology Indore) No
91 DM892 Hierarchical Structure Enhanced Graph Representation for Link Prediction Wenjie Liu (Yunnan University), Kun Yue (Yunnan University), Zhenyu Zhang (Tianjin University of Science & Technology) and Liang Duan (Yunnan University) No
92 DM902 Heterogeneous Graph-based Sequential Recommendation with Disentangled Methods Jinpeng Chen (Beijing University of Posts and Telecommunications), Huachen Guan (Beijing University of Posts and Telecommunications), Fan Zhang (Beijing University of Posts and Telecommunications), Zhenye Yang (Beijing University of Posts and Telecommunications), Jianxiang He (Beijing University of Posts and Telecommunications), Hongbo Gao (University of Science and Technology of China) and Kaimin Wei (Jinan University) No
93 DM913 Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation Yi Zhang (The University of Queensland), Lili Xie (Indepedent Research), Ruihong Qiu (The University of Queensland), Jiajun Liu (CSIRO) and Sen Wang (The University of Queensland) Yes
94 DM920 DynaCLIP: A novel Framework for Video-Text Retrieval via Dynamic Curriculum Learning and Adaptive Prompt Mixture-of-Experts Ning Chen (Guang Dong University of Technology), Xingming Liao (Guang Dong University of Technology), Chengzhong Lin (Guang Dong University of Technology), Zhuowei Wang (Guang Dong University of Technology) and Peijian Zeng (Guang Dong University of Technology) No
95 DM925 CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neural Networks Gözde Ayşe Tataroğlu Özbulak (University of Lausanne), Yash Rash Shrestha (University of Lausanne) and Jean Paul Calbimonte (University of Applied Sciences and Arts Western Switzerland) No
96 DM927 Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics Wei Jiang (The University of Queensland), Tong Chen (The University of Queensland), Wei Yuan (The University of Queensland), Xiangyu Zhao (City University of Hong Kong), Quoc Viet Hung Nguyen (Griffith University) and Hongzhi Yin (The University of Queensland) No
97 DM935 EM-Based Transfer Learning for Gaussian Causal Models Under Covariate and Target Shift Mohammad Ali Javidian (Appalachian State University) Yes
98 DM945 Federated Domain Generalization with Latent Space Inversion Ragja Palakkadavath (Deakin University), Hung Le (Deakin University), Thanh Nguyen-Tang (John Hopkins University), Svetha Venkatesh (Deakin University) and Sunil Gupta (Deakin University) No
99 DM953 Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling for Social Recommendation Yuqin Lan (Huazhong University of Science and Technology) and Laurence.T Yang (Huazhong University of Science and Technology) No
100 DM958 Revisiting One-Versus-One and One-Versus-Rest: Insights into Imbalanced Multi-class Classification Kuan-Ting Chen (Mohamed bin Zayed University of Artificial Intelligence) and Chih-Jen Lin (National Taiwan University) Yes
101 DM971 Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention Jie Tu (Yunnan University), Kun Yue (Yunnan University), Zhenyu Zhang (Tianjin University of Science & Technology) and Liang Duan (Yunnan University) No
102 DM974 Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning Behnaz Soltani (Macquarie University), Yipeng Zhou (Macquarie University), Saqr Thabet (Macquarie University), Elaf Alhazmi (Macquarie University), Lina Yao (CSIRO’s Data61) and Quan Z. Sheng (Macquarie University) No
103 DM987 Koopman Spectral Dynamics for Interpretable and Predictive Semantic Drift in Language Models Satyam Mishra (Vietnam National University, Hanoi), Phung Thao Vi (Vietnam National University, Hanoi), Vu Minh Phuc (Vietnam National University, Hanoi), Shivam Mishra (Vietnam National University, Hanoi), Sundaram Mishra (Bikaner Technical University, Bikaner) and Vishwanath Bijalwan (SR University, Warangal) No
104 DM994 Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM Yassine Baghoussi (INESC TEC), João Mendes-Moreira (INESC TEC, Faculdade de Engenharia, Universidade do Porto) and Carlos Soares (Fraunhofer,Faculdade de Engenharia, Universidade do Porto) Yes
105 DM998 Efficient Cardinality Estimation with Query-induced Probability Inference Huashuai Liu (Yunnan University), Xinran Wu (Yunnan University), Kun Yue (Yunnan University), Bingbing Xiang (Yunnan University) and Liang Duan (Yunnan University) No

Short Papers

# Paper ID Title Author Names In-person Presentation
1 DM269 On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models shahbaz Rezaei (University of California, Davis), Avishai Halev (University of California, Davis, CA) and Xin Liu (University of California, Davis) Yes
2 DM273 Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers Ruochi Li (North Carolina State University), Haoxuan Zhang (University of North Texas), Edward Gehringer (North Carolina State University), Ting Xiao (University of North Texas), Junhua Ding (University of North Texas) and Haihua Chen (University of North Texas) Yes
3 DM280 BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization Desta Haileselassie Hagos (Howard University), Legand L. Burge (Howard University), Anietie Andy (Howard University), Anis Yazidi (University of Oslo) and Vladimir Vlassov (KTH Royal Institute of Technology, Division of Software and Computer Systems) Yes
4 DM281 Tracking the Evolution of Latent Communities in Dynamic Social Networks using Hierarchical-Structured Edge Partition Models Xincan Yu (Great Bay University), Nan Fang (Shenzhen University), Hao Liao (Shenzhen University) and Sikun Yang (Great Bay University) No
5 DM290 Cellular Traffic Prediction Based on Two-Stage Cross-City Transfer Learning Hao Wen (Sun Yat-sen University), Junhui Zhan (Sun Yat-sen University), Jiahao Ling (Sun Yat-sen University), Shimin Gong (Sun Yat-sen University) and Bo Gu (Sun Yat-sen University) No
6 DM306 DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations Qingwen Zeng (The University of Sydney), Lining Chen (The University of Sydney), Jushang Qiu (Australian National University), Fangchen Liu (The University of Sydney), Huaming Chen (The University of Sydney) and Ling Chen (University of Technology Sydney) Yes
7 DM320 Reasoning over User Preferences: Knowledge Graph‑Augmented LLMs for Explainable Conversational Recommendations Zhangchi Qiu (Griffith University), Linhao Luo (Monash University), Shirui Pan (Griffith University) and Alan Wee-Chung Liew (Griffith University) No
8 DM337 Score-based Integrated Gradient for Root Cause Explanations of Outliers Phuoc Nguyen (Deakin University), Truyen Tran (Deakin University), Sunil Gupta (Deakin University) and Svetha Venkatesh (Deakin University) No
9 DM338 Document-level Relation Extraction with Collaborative Filtering among Hierarchical Reinforcement Agents and LLMs zhen wang (Peking University), yu wang (Peking University) and wen zhao (Peking University) No
10 DM347 Towards Generalizable Time Series Forecasting via IB-Regularized Transformer-Diffusion Dagyeong Na (Chung-Ang University), Jinho Kang (University of Seoul) and Junseok Kwon (Chung-Ang University) Yes
11 DM354 Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting Hung Le (Deakin University), Sherif Abbas (Deakin University), Minh Hoang Nguyen (Deakin University), Van Dai Do (Deakin University), Huu Hiep Nguyen (Deakin University) and Dung Nguyen (Deakin University) No
12 DM357 Owen-based Semantics and Hierarchy-Aware Explanation (O-Shap) Xiangyu Zhou (Arizona State University), Chenhan Xiao (Arizona State University) and Yang Weng (Arizona State University) No
13 DM360 LifelongSkill: Toward Modality-varying Lifelong Learning with Latent Knowledge Hypergraph Jiayi Chen (University of Virginia), Kishlay Jha (University of Iowa) and Aidong Zhang (University of Virginia) Yes
14 DM370 Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning Haichao Zhang (Xi'an Jiaotong-Liverpool University), Jia Wang (Xi'an Jiaotong-Liverpool University), Chong Zhang (Xi'an Jiaotong-Liverpool University), Peiyu Hu (Xi'an Jiaotong-Liverpool University) and Shi Qiu (Xi’an Jiaotong-Liverpool University) No
15 DM387 Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles Xin Du (Great Bay University), subramanian ramamoorthy (University of Edinburgh), Wouter Duivesteijn (Eindhoven University of Technology), Jin Tian (Mohamed bin Zayed University of Artificial Intelligence) and Mykola Pechenizkiy (Eindhoven University of Technology) No
16 DM389 Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes Xinxin Li (Institute of Computing Technology, Chinese Academy of Sciences), Yang Liu (Institute of Computing Technology, Chinese Academy of Sciences), Weigao Wen (Alibaba Group), Siyong Xu (Alibaba Group), Qing He (Institute of Computing Technology, Chinese Academy of Sciences) and Xiang Ao (Institute of Computing Technology, Chinese Academy of Sciences) No
17 DM393 Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions Minkyu Kim (Ziovision Co., Ltd.), Hyun-Soo Choi (Seoul National University of Science and Technology) and Jinho Kim (Kangwon National University) No
18 DM415 Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion Linfeng Luo (Central South University), Fengxiao Tang (Central South University), Zhiqi Guo (Central South University), Zihao Qiu (Central South University) and Ming Zhao (Central South University) No
19 DM423 TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening Hai Nam Le (Deakin University), Leo Yu Zhang (Griffith University), Kewen Liao (Deakin University), Shirui Pan (Griffith University) and Wei Luo (Deakin University) No
20 DM438 Bounds on Kappa-Error Diagrams for Diversity Analysis Krzysztof Grąbczewski (Institute of Engineering and Technology, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Torun) Yes
21 DM445 Link Completion for Dynamic Knowledge Graphs with Entity Drift Xiulin Zheng (Hefei University of Technology), Peipei Li (Hefei University of Technology), Yi He (Old Dominion University) and Xindong Wu (Hefei University of Technology) No
22 DM455 Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals Li Rong Wang (Nanyang Technological University, College of Computing and Data Science), Thomas C. Henderson (University of Utah, School of Computing), Yew Soon Ong (Nanyang Technological University, College of Computing and Data Science), Yih Yng Ng (Saw Swee Hock School of Public Health, National University of Singapore) and Xiuyi Fan (Nanyang Technological University, Lee Kong Chian School of Medicine) Yes
23 DM459 Trivial Graph Features and Classical Learning are Enough to Detect Random Anomalies Matthieu Latapy (Sorbonne University and CNRS) and Stephany Rajeh (EFREI Paris-Panthéon-Assas University) Yes
24 DM467 Speciated Unsupervised Skill Discovery Ryan Wickman (Microsoft) and Xiaofei Zhang (The University of Memphis) Yes
25 DM478 BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs Aditya Vadlamani (The Ohio State University), Sama Salarian (The Ohio State University), Saket Gurukar (The Ohio State University) and Srinivasan Parthasarathy (The Ohio State University) Yes
26 DM480 Feature Generation Machine for Learning with Label Proportions Jing Chai (Yunnan University) No
27 DM500 Differentiable Distance Between Hierarchically-Structured Data Matěj Zorek (Czech Technical University in Prague), Tomáš Pevný (Czech Technical University in Prague) and Václav Šmídl (Czech Technical University in Prague) Yes
28 DM520 Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks Longwei Wang (University of South Dakota), Mohammad Nayyem (University of South Dakota), Abdullah Al Rakin (University of South Dakota), KC Santosh (University of South Dakota), Chaowei Zhang (Yangzhou University) and Yang Zhou (Auburn University) No
29 DM534 Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion Quan Li (Pennsylvania State University), Wenchao Yu (NEC Labs America), Suhang Wang (Pennsylvania State University), Minhua Lin (Pennsylvania State University), Lingwei Chen (Rochester Institute of Technology), Wei Cheng (NEC Labs America) and Haifeng Chen (NEC Labs America) Yes
30 DM538 UP-Bern: A Unified Progressive Transition Framework for Biomedical Entity Recognition and Normalization Yanlong Qiu (College of Computer Science and Technology, National University of Defense Technology), Canqun Yang (College of Computer Science and Technology, National University of Defense Technology), Wang Siqi (National University of Defense Technology), Lifeng Han (Leiden Institute of Advanced Computer Science (LIACS), Leiden University) and Goran Nenadic (Department of Computer Science, University of Manchester) No
31 DM539 Flexible Windowing for Correlation-Aware Ranking in Anomalous Environments Anwesha Das (University of Chicago), Henry Hoffmann (University of Chicago) and Alex Aiken (Stanford University) Yes
32 DM553 Class-Aware Spatio-Temporal Graph Contrastive Learning for Multivariate Time Series Data Yining Wang (Shandong University), Ke Li (Huazhong University of Science and Technology), Fujun Han (Southwest University), Shuhan Liu (Shandong University), Xuan Hou (Shandong University), Dejun Teng (Shandong University) and Zhaohui Peng (Shandong University) No
33 DM554 OA2H-SP: One-step Anchor-Adaptive Hypergraph Spectral Clustering Kamal Berahmand (RMIT university), Razieh Sheikhpour (Ardakan University), Farid Saberi-Movahed (Graduate University of Advanced Technology) and Mahdi Jalili (RMIT university) No
34 DM558 FreIE Low-Frequency Spectral Bias in Neural Networks for Time-Series Tasks Jialong Sun (Heilongjiang University), Xinpeng Ling (East China Normal University), Jiaxuan Zou (Xi'an Jiaotong University), Jiawen Kang (Guangdong University of Technology) and Kejia Zhang (Heilongjiang University) No
35 DM587 STRIDE: Spectral-Temporal Representation and Instance-weighted Domain Expansion Ngoc Chi Nam Doan (Singapore Institute of Manufacturing Technology), Van Tung Tran (Singapore Institute of Manufacturing Technology) and Karkulali Pugalenthi (Singapore Institute of Manufacturing Technology) Yes
36 DM609 Hierarchy-Aware Generative Modeling for Enhanced Label Differential Privacy Yichen Hu (Southeast University) and Changsheng Wan (Southeast University) No
37 DM639 TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees Emmanouil Panagiotou (Freie Universität Berlin), Benoît Ronval (UCLouvain, ICTEAM), Arjun Roy (University of the Bundeswehr Munich), Ludwig Bothmann (1) Department of Statistics, LMU Munich. 2) Munich Center for Machine Learning (MCML)), Bernd Bischl (1) Department of Statistics, LMU Munich. 2) Munich Center for Machine Learning (MCML)), Siegfried Nijssen (1) UCLouvain, ICTEAM 2) KU Leuven, DTAI.) and Eirini Ntoutsi (Research Institute CODE, Bundeswehr Universität Munich) Yes
38 DM657 InSQuaD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Souradeep Nanda (University of Texas at Dallas), Anay Majee (University of Texas at Dallas) and Rishabh Iyer (University of Texas at Dallas) Yes
39 DM668 On the Relationship between Populated Regions and Adversarial Robustness in Deep Neural Networks Seongjin Park (SAIT), Haedong Jeong (Sogang University), Tair Djanibekov (KAIST), Giyoung Jeon (LG AI Research), Jinseok Seol (KAIST) and Jaesik Choi (KAIST) Yes
40 DM671 Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity Victor Brabant (Université Lyon 1), Angela Bonifati (Université Lyon 1) and Rémy Cazabet (Université Lyon 1) Yes
41 DM678 Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity Fanchen Bu (KAIST), Geon Lee (KAIST), Minyoung Choe (KAIST) and Kijung Shin (KAIST) No
42 DM681 Fast Percolation Centrality Approximation with Importance Sampling Antonio Cruciani (Aalto University) and Leonardo Pellegrina (University of Padova) Yes
43 DM685 ClusterSSFDA: Clustered Semi-Supervised Federated Domain Adaptation Michele Craighero (Politecnico di Milano), Taguhi Mesropyan (Politecnico di Milano), Diego Carrera (STMicroelectronics), Beatrice Rossi (STMicroelectronics), Diego Stucchi (STMicroelectronics), Pasqualina Fragneto (STMicroelectronics) and Giacomo Boracchi (Politecnico di Milano) Yes
44 DM689 DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming Arun Vignesh Malarkkan (Arizona State University), Haoyue Bai (Arizona State University), Anjali Kaushik (Arizona State University) and Yanjie Fu (Arizona State University) Yes
45 DM693 sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-cell Data Carolina Elisabeth Atria (University of Vienna), Yitao Cai (University of Vienna), Pascal Weber (University of Vienna), Anna Beer (University of Vienna), Nils Kriege (University of Vienna), Christian Böhm (University of Vienna), Roger Revilla-i-Domingo (University of Vienna) and Claudia Plant (University of Vienna) Yes
46 DM695 Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 2D Recurrence Representations Amine Bechar (University of Sharjah), Adel Oulefki (University of Sharjah), Abbes Amira (University of Sharjah), Fatih Kurugollu (University of Sharjah) and Yassine Himeur (University of Dubai) Yes
47 DM718 Mining Trustworthy Symbolic Regression Models in Federated Settings Mattia Billa (University of Modena and Reggio Emilia), Veronica Guidetti (University of Modena and Reggio Emilia), Luca La Rocca (University of Modena and Reggio Emilia) and Federica Mandreoli (University of Modena and Reggio Emilia) Yes
48 DM731 Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement Lei Gong (University of Virginia), Aidong Zhang (University of Virginia) and Kishlay Jha (University of Iowa) Yes
49 DM735 Auditing Approximate Unlearning for Differentially Private Models Yuechun Gu (University of Maryland, Baltimore County), Jiajie He (University of Maryland, Baltimore County) and Keke Chen (University of Maryland, Baltimore County) Yes
50 DM750 AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports Yi Xu (Northeastern University) and Yun Fu (Northeastern University) Yes
51 DM793 When LLM Meets Simplicial Complex: A Novel Graph Prompt Learning on Ethereum Transaction Networks Yuxin Liu (University of California, Riverside), Stephen Chan (American University of Sharjah), Jeffrey Chu (Renmin University of China), Yuanyuan Zhang (University of Manchester) and Yuzhou Chen (University of California, Riverside) Yes
52 DM794 Prompt Learning with Text-Augmented Cues for Out-of-Distribution Detection Feng Mingxu (Nanjing University of Science and Technology), Chao Dian (Nanjing University of Science and Technology), Zhang Yuxuan (Nanjing University of Science and Technology), Yang Yang (Nanjing University of Science and Technology) and Guo Weili (Nanjing University of Science and Technology) No
53 DM805 TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation MohammadReza EskandariNasab (Utah State University), Shah Muhammad Hamdi (Utah State University) and Soukaina Filali Boubrahimi (Utah State University) Yes
54 DM829 Data-Driven Super-Resolution Reconstruction of Physical Fields via Enhanced Diffusion Models and Fourier Neural Operators Yanan Guo (National University of Defense Technology), Junqiang Song (National University of Defense Technology), Xiaoqun Cao (National University of Defense Technology) and Hongze Leng (National University of Defense Technology) No
55 DM830 MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection Walid Durani (LMU Munich), Philipp Jahn (LMU Munich), Thomas Seidl (LMU Munich), Claudia Plant (University of Vienna) and Christian Böhm (University of Vienna) Yes
56 DM832 Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems Rahul Ghosh (University of Minnesota), Arvind Renganathan (University of Minnesota), Zachary McEachran (NOAA National Weather Service), Kelly Lindsay (University of Minnesota), Michael Steinbach (University of Minnesota), John Nieber (University of Minnesota), Christopher Duffy (Pennsylvania State University) and Vipin Kumar (University of Minnesota) Yes
57 DM841 Contrastive Joint Embedding of Attributed Multiplex Networks Ylli Sadikaj (University of Vienna), Yllka Velaj (University of Vienna) and Claudia Plant (University of Vienna) Yes
58 DM855 Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search Longfeng Wu (Virginia Tech), Yao Zhou (Google), Tong Zeng (Virginia Tech), Zhimin Peng (Amazon), Bhanu Pratap Singh Rawat (Amazon), Lecheng Zheng (Virginia Tech), Giovanni Seni (Amazon) and Dawei Zhou (Virginia Tech) No
59 DM860 WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection Alexander Stepikin (Skolkovo Institute of Science and Technology), Evgenia Romanenkova (Skolkovo Institute of Science and Technology) and Alexey Zaytsev (Skoltech) No
60 DM877 Disentangled Contrastive Representation Learning for Zero-Shot Biomedical Text Classification Ratri Mukherjee (University of Iowa), Shailesh Dahal (University of Iowa) and Kishlay Jha (University of Iowa) Yes
61 DM883 ECHO: Effective Coreset-Driven Learning via Hierarchical Optimizations Alec F. Diallo (University of Edinburgh), Weihe Li (University of Edinburgh) and Paul Patras (University of Edinburgh) Yes
62 DM895 Self-Supervised Distribution Correction to Boost Information Gain in Offline Reinforcement Learning Jingyi Yuan (Arizona State University), Hamad Alduaij (Arizona State University) and Yang Weng (Arizona State University) Yes
63 DM899 Selective Cloud Offloading for Accurate and Efficient Object Detection Davood Dehghani (York University), Yueting Chen (Seattle University), Xiaohui Yu (York University) and Nick Koudas (University of Toronto) No
64 DM911 One-Pass Multi-Label Learning With Missing Features and Labels Jun-Tong Wang (Nanjing University), Cun-Yuan Xing (Nanjing University) and Wei Gao (Nanjing University) Yes
65 DM918 PULSAR: Advancing Interval-Based Time Series Classification to State-of-the-Art Performance Nestor Cabello (The University of Melbourne) and Lars Kulik (The University of Melbourne) Yes
66 DM932 GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction Narges Ghasemi (University of Southern California), Amir Ziashahabi (University of Southern California), Salman Avestimehr (University of Southern California) and Cyrus Shahabi (University of Southern California) Yes
67 DM943 HyperModal: Dynamic Hypergraph Contrastive Learning for Multi-Modal Representation Lulwah AlKulaib (Kuwait University) Yes
68 DM962 Incorporating Dynamic Logic Alignment into Knowledge Graph Reasoning Based on Reinforcement Learning Yiyang Weng (Beijing University of Technology), Tong Li (Beijing University of Technology), Zifang Tang (Beijing University of Technology), Yiting Wang (Beijing University of Technology) and Zhen Yang (Beijing University of Technology) No
69 DM964 Layer-wise Unlearning for Model Adaption in Non-Stationary Environments Yanbing Zhou (Guangxi Key Laboratory of Image and Graphic intelligent processing), Xiang Liu (Guangxi Key Laboratory of Image and Graphic intelligent processing), Yimin Wen (Guangxi Key Laboratory of Image and Graphic intelligent processing), Zhanhua Liu (Guangxi Key Laboratory of Image and Graphic intelligent processing), Hang Yu (Shanghai University) and Yikui Zhai (Wuyi University) No
70 DM996 FAP: A Pipeline for Enhancing Adversarial Robustness through Foveation-Inspired Preprocessing in Mammography Classification Ghazal Lalooha (Macquarie University), Wenjie Ruan (Macquarie University), Venus Haghighi (Macquarie University), Xinshu Li (Macquarie University) and Quan Z Sheng (Macquarie University) No