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ORCID33rd IJCAI 2024: Jeju, South Korea
- Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024. ijcai.org 2024, ISBN 978-1-956792-04-1
Main Track
Agent-based and Multi-agent Systems
- S. Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, Dorde Zikelic:
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties. 3-12 - Adrien Benamira, Thomas Peyrin, Trevor Yap, Tristan Guérand, Bryan Hooi:
Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form. 13-21 - Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi:
AutoAgents: A Framework for Automatic Agent Generation. 22-30 - Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang:
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. 31-39 - Dylan Cope, Peter McBurney:
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition. 40-48 - Yue Deng, Zirui Wang, Yin Zhang:
Improving Multi-agent Reinforcement Learning with Stable Prefix Policy. 49-57 - Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken:
Scalable Mechanism Design for Multi-Agent Path Finding. 58-66 - Julian Gutierrez, David Hyland, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge:
Endogenous Energy Reactive Modules Games: Modelling Side Payments among Resource-Bounded Agents. 67-75 - Úrsula Hébert-Johnson, Daniel Lokshtanov, Chinmay Sonar, Vaishali Surianarayanan:
Parameterized Complexity of Kidney Exchange Revisited. 76-84 - Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu:
CompetEvo: Towards Morphological Evolution from Competition. 85-93 - Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao:
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. 94-102 - Panagiotis Kouvaros, Elena Botoeva, Cosmo De Bonis-Campbell:
Formal Verification of Parameterised Neural-symbolic Multi-agent Systems. 103-110 - Chin-wing Leung, Tom Lenaerts, Paolo Turrini:
To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty. 111-119 - Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao:
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. 120-128 - Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He:
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. 129-138 - Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. 139-147 - Zun Li, Michael P. Wellman:
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. 148-156 - Katherine Mayo, Nicholas Grabill, Michael P. Wellman:
Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis. 157-165 - Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. 166-174 - Atasi Panda, Anand Louis, Prajakta Nimbhorkar:
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All. 175-183 - Yang Qu, Jinming Ma, Feng Wu:
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control. 184-192 - Tianyu Ren, Xiao-Jun Zeng:
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning. 193-201 - Munindar P. Singh, Samuel H. Christie V., Amit K. Chopra:
Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict. 202-210 - Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall:
Fostering Collective Action in Complex Societies Using Community-Based Agents. 211-219 - Martin Smit, Fernando P. Santos:
Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity. 220-228 - Oliver Sourbut, Lewis Hammond, Harriet Wood:
Cooperation and Control in Delegation Games. 229-237 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm:
Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search. 238-248 - Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu, Lujia Wang:
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem. 249-256 - Yohai Trabelsi, Pan Xu, Sarit Kraus:
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option. 257-264 - Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. 265-273 - Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu:
A Successful Strategy for Multichannel Iterated Prisoner's Dilemma. 274-282 - Pei Xu, Junge Zhang, Kaiqi Huang:
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. 283-291 - Yuan Yao, Natasha Alechina, Brian Logan:
Intention Progression with Temporally Extended Goals. 292-301 - Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang:
ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning. 302-310 - Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. 311-320 - Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. 321-329
AI Ethics, Trust, Fairness
- Han Bao, Xuhong Zhang, Qinying Wang, Kangming Liang, Zonghui Wang, Shouling Ji, Wenzhi Chen:
Pluggable Watermarking of Deepfake Models for Deepfake Detection. 331-339 - Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin, Kewei Gao, Zunlei Feng:
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection. 340-348 - Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. 349-357 - Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Machine Unlearning via Null Space Calibration. 358-366 - Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni:
Are Logistic Models Really Interpretable? 367-375 - Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik:
The Impact of Features Used by Algorithms on Perceptions of Fairness. 376-384 - Jorge García-Carrasco, Alejandro Maté, Juan Trujillo:
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability. 385-393 - Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan:
Online Combinatorial Optimization with Group Fairness Constraints. 394-402 - Xuanxiang Huang, João Marques-Silva:
Updates on the Complexity of SHAP Scores. 403-412 - Zhoulin Ji, Chenhao Lin, Hang Wang, Chao Shen:
Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis. 413-421 - Jeonghyun Lee, Sungmin Han, Sangkyun Lee:
SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning. 422-430 - Zeyu Li, Yuwen Pu, Xuhong Zhang, Yu Li, Jinbao Li, Shouling Ji:
Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage. 431-439 - Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco:
Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. 440-448 - Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. 449-457 - Syed Irfan Ali Meerza, Jian Liu:
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning. 458-466 - Silvan Mertes, Tobias Huber, Christina Karle, Katharina Weitz, Ruben Schlagowski, Cristina Conati, Elisabeth André:
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers. 467-475 - Taylor Olson, Kenneth D. Forbus:
Normative Testimony and Belief Functions: A Formal Theory of Norm Learning. 476-484 - Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim:
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. 485-493 - Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang:
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. 494-502 - Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. 503-511 - Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. 512-520 - Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto:
On the Effects of Fairness to Adversarial Vulnerability. 521-529 - Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz:
Attribution Quality Metrics with Magnitude Alignment. 530-538 - Xudong Yin, Yao Yang:
CMACE: CMAES-based Counterfactual Explanations for Black-box Models. 539-547 - Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long:
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. 548-558 - Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan:
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. 559-567 - Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang:
A General Black-box Adversarial Attack on Graph-based Fake News Detectors. 568-576
Computer Vision
- Jie An, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Zicheng Liu, Lijuan Wang, Jiebo Luo:
Bring Metric Functions into Diffusion Models. 578-586 - Gairui Bai, Wei Xi, Yihan Zhao, Xinhui Liu, Jizhong Zhao:
Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks. 587-595 - Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li:
SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving. 596-604 - Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang:
MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection. 605-613 - Zhiyong Chang, Mingjun Yin, Yan Wang:
CoAtFormer: Vision Transformer with Composite Attention. 614-622 - Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. 623-631 - Dubing Chen, Chenyi Jiang, Haofeng Zhang:
Evolutionary Generalized Zero-Shot Learning. 632-640 - Jiayi Chen, Rong Quan, Jie Qin:
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation. 641-649 - Shaoyang Chen, Bochun Yang, Yan Xia, Ming Cheng, Siqi Shen, Cheng Wang:
Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation. 650-658 - Sihan Chen, Yadang Chen, Yuhui Zheng, Zhi-Xin Yang, Enhua Wu:
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation. 659-667 - Xiaokang Chen, Jiahui Chen, Yan Liu, Jiaxiang Tang, Gang Zeng:
D3ETR: Decoder Distillation for Detection Transformer. 668-676 - Yutao Chen, Xingning Dong, Tian Gan, Chunluan Zhou, Ming Yang, Qingpei Guo:
EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency Constraints. 677-685 - Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang:
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters. 686-694 - Kai Cheng, Yaning Pan, Yang Liu, Xinhua Zeng, Rui Feng:
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames. 695-703 - Ka-Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. 704-712 - Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang:
Fast One-Stage Unsupervised Domain Adaptive Person Search. 713-721 - Yuning Cui, Mingyu Liu, Wenqi Ren, Alois Knoll:
Hybrid Frequency Modulation Network for Image Restoration. 722-730 - Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu:
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution. 731-739 - Shiyin Dong, Mingrui Zhu, Kun Cheng, Nannan Wang, Xinbo Gao:
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors. 740-748 - Hao Fang, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng, Sergio Escalera, Xiaoming Liu, Jun Wan, Zhen Lei:
Unified Physical-Digital Face Attack Detection. 749-757 - Haolong Fu, Jin Yuan, Guojin Zhong, Xuan He, Jiacheng Lin, Zhiyong Li:
CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection. 758-766 - Zuan Gao, Yuxin Wang, Yadong Qu, Boqiang Zhang, Zixiao Wang, Jianjun Xu, Hongtao Xie:
Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition. 767-775 - Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu:
A Dataset and Model for Realistic License Plate Deblurring. 776-784 - Meiqi Gong, Hao Zhang, Hebaixu Wang, Jun Chen, Jun Huang, Xin Tian, Jiayi Ma:
Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening. 785-793 - Tiantian Gong, Junsheng Wang, Liyan Zhang:
Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval. 794-802 - Jiezhou He, Xue Zhao, Zhiming Luo, Songzhi Su, Shaozi Li, Guojun Zhang:
TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability. 803-811 - Qingdong He, Jinlong Peng, Zhengkai Jiang, Kai Wu, Xiaozhong Ji, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Mingang Chen, Yunsheng Wu:
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation. 812-820 - Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, Tao He:
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder. 821-829 - Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang:
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. 830-838 - Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu:
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. 839-847 - Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song:
Improving Adversarial Robustness via Feature Pattern Consistency Constraint. 848-856 - Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong:
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. 857-865 - Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu:
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. 866-874 - Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang:
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. 875-883 - Zixian Huang, Chuan-Xian Ren:
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation. 884-892 - Deyi Ji, Wenwei Jin, Hongtao Lu, Feng Zhao:
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation. 893-901 - Xiang Ji, Changqiao Xu, Lujie Zhong, Shujie Yang, Han Xiao, Gabriel-Miro Muntean:
Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection Distortion. 902-910 - Yunbing Jia, Xiaoyu Kong, Fan Tang, Yixing Gao, Weiming Dong, Yi Yang:
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition. 911-919 - Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming:
M2Beats: When Motion Meets Beats in Short-form Videos. 920-928 - Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du:
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation. 929-937 - Yimin Jiang, Huibing Wang, Jinjia Peng, Xianping Fu, Yang Wang:
Scene-Adaptive Person Search via Bilateral Modulations. 938-946 - Minsoo Khang, Teakgyu Hong:
TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism. 947-955 - Eungi Lee, Moon Seok Lee, Jae Hyun Yoon, Seok Bong Yoo:
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification. 956-964 - Bohan Li, Yasheng Sun, Zhujin Liang, Dalong Du, Zhuanghui Zhang, Xiaofeng Wang, Yunnan Wang, Xin Jin, Wenjun Zeng:
Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion. 965-973 - Huan Li, Hailong Shi, Xingyu Gao:
A Coarse-to-Fine Fusion Network for Event-Based Image Deblurring. 974-982 - Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. 983-991 - Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo:
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. 992-1000 - Junjie Li, Yixin Zhang, Zilei Wang, Saihui Hou, Keyu Tu, Man Zhang:
Probabilistic Contrastive Learning for Domain Adaptation. 1001-1009 - Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou:
OTOcc: Optimal Transport for Occupancy Prediction. 1010-1019 - Xianbang Li, Yilong Ren, Han Jiang, Haiyang Yu, Yanlei Cui, Liang Xu:
DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction. 1020-1028 - Xin Li, Yuxin Feng, Fan Zhou, Yun Liang, Zhuo Su:
Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns. 1029-1037 - Xuan Li, Xiangqian Wu:
WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation. 1038-1046 - Zongyi Li, Jianbo Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Runsheng Wang, Shijuan Huang:
Cross-modal Generation and Alignment via Attribute-guided Prompt for Unsupervised Text-based Person Retrieval. 1047-1055 - Guoyan Liang, Qin Zhou, Jingyuan Chen, Zhe Wang, Chang Yao:
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning. 1056-1064 - Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. 1065-1073 - Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian:
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. 1074-1082 - Zeyu Ling, Bo Han, Yongkang Wong, Han Lin, Mohan S. Kankanhalli, Weidong Geng:
MCM: Multi-condition Motion Synthesis Framework. 1083-1091 - Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu:
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods. 1092-1100 - Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang:
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling. 1101-1109 - Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan:
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications. 1110-1118 - Shuai Liu, Boyang Li, Zhiyu Fang, Kai Huang:
DCDet: Dynamic Cross-based 3D Object Detector. 1119-1127 - Yanghong Liu, Xingping Dong, Yutian Lin, Mang Ye:
DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction. 1128-1136 - Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. 1137-1145 - Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. 1146-1154 - Ji Ma, Wei Suo, Peng Wang, Yanning Zhang:
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning. 1155-1163 - Junbo Ma, Caixuan Luo, Jia Hou, Kai Zhao:
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining. 1164-1172 - Yikun Ma, Dandan Zhan, Zhi Jin:
FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting. 1173-1181 - Luoyu Mei, Shuai Wang, Yun Cheng, Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, Shuai Wang, Wei Gong:
ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers. 1182-1190 - Chunxia Qin, Zhenrong Zhang, Pengfei Hu, Chenyu Liu, Jiefeng Ma, Jun Du:
SEMv3: A Fast and Robust Approach to Table Separation Line Detection. 1191-1199 - Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou:
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. 1200-1208 - Sheng Shen, Huanjing Yue, Jingyu Yang:
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion. 1209-1217 - Xiaobo Shen, Haoyu Cai, Xiuwen Gong, Yuhui Zheng:
Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval. 1218-1226 - Xiaobo Shen, Qianxin Huang, Long Lan, Yuhui Zheng:
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval. 1227-1235 - Wenxu Shi, Bochuan Zheng:
Conflict-Alleviated Gradient Descent for Adaptive Object Detection. 1236-1244 - Inpyo Song, Jongmin Lee, Moonwook Ryu, Jangwon Lee:
Motion-Aware Heatmap Regression for Human Pose Estimation in Videos. 1245-1253 - Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin:
Learning a Spiking Neural Network for Efficient Image Deraining. 1254-1262 - Zhengxuan Song, Xun Liu, Wenhao Zhang, Yongyi Gong, Tianyong Hao, Kun Zeng:
SPGNet: A Shape-prior Guided Network for Medical Image Segmentation. 1263-1271 - Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang:
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM. 1272-1280 - Hao Su, Meng Yang:
A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization. 1281-1289 - Maitreya Suin, Rama Chellappa:
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models. 1290-1298 - Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng:
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning. 1299-1307 - Jinsheng Sun, Chao Yao, Xiaokun Wang, Yu Guo, Yalan Zhang, Xiaojuan Ban:
Who Looks like Me: Semantic Routed Image Harmonization. 1308-1316 - Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. 1317-1325 - Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao:
Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search. 1326-1334 - Likai Tian, Zhengwei Yang, Zechao Hu, Hao Li, Yifang Yin, Zheng Wang:
Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval. 1335-1343 - Vivek Trivedy, Longin Jan Latecki:
Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification. 1344-1352 - Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang:
OSIC: A New One-Stage Image Captioner Coined. 1353-1361 - Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan:
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on. 1362-1370 - Cong Wang, Wei Wang, Chengjin Yu, Jie Mu:
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. 1371-1379 - Qi Wang, Yuchi Huo, Qi Ye, Rui Wang, Hujun Bao:
Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction. 1380-1388 - Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv:
How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective. 1389-1397 - Song Wang, Jiawei Yu, Wentong Li, Hao Shi, Kailun Yang, Junbo Chen, Jianke Zhu:
Label-efficient Semantic Scene Completion with Scribble Annotations. 1398-1406 - Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao:
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. 1407-1415 - Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. 1416-1424 - Housheng Wei, Guanyu Xing, Jingwei Liao, Yanci Zhang, Yanli Liu:
Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection. 1425-1433 - Jinmeng Wu, Chong Cao, Hao Zhang, Basura Fernando, Yanbin Hao, Hanyu Hong:
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models. 1434-1442 - Shengjian Wu, Li Sun, Qingli Li:
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer. 1443-1451 - Yong Wu, Yang Wang, Sanqing Qu, Zhijun Li, Guang Chen:
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation. 1452-1461 - Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo:
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization. 1462-1470 - Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao:
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking. 1471-1479 - Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang:
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. 1480-1488 - Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li:
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer. 1489-1497 - Yang Xu, Yifan Feng, Yue Gao:
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval. 1498-1506 - Yuanwu Xu, Feifan Song, Haofeng Zhang:
Learning Spatial Similarity Distribution for Few-shot Object Counting. 1507-1515 - Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. 1516-1524 - Huibin Yan, Shuoyao Wang:
DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration. 1525-1533 - Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang, Tieniu Tan:
DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition. 1534-1542 - Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu:
Reschedule Diffusion-based Bokeh Rendering. 1543-1551 - Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu:
3D Vision and Language Pretraining with Large-Scale Synthetic Data. 1552-1560 - Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang:
Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation. 1561-1569 - Teng Yang, Song Xiao, Wenqian Dong, Jiahui Qu, Yueguang Yang:
Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification. 1570-1578 - Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai:
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models. 1579-1587 - Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. 1588-1597 - Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan:
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models. 1598-1606 - Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng:
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. 1607-1615 - Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin:
Unified Unsupervised Salient Object Detection via Knowledge Transfer. 1616-1624 - Youngsik Yun, Jihie Kim:
CIC: A Framework for Culturally-Aware Image Captioning. 1625-1633 - Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye, Fang Li:
MARS: Multimodal Active Robotic Sensing for Articulated Characterization. 1634-1642 - Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen, Xiaofeng Zhu:
Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation. 1643-1651 - Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shuxiang Song:
Diffusion Mask-Driven Visual-language Tracking. 1652-1660 - Haiyang Zhang, Mengchao Wang, Shuai He, Anlong Ming:
AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models. 1661-1669 - Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen:
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World. 1670-1678 - Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge:
DANCE: Dual-View Distribution Alignment for Dataset Condensation. 1679-1687 - Jiahang Zhang, Lilang Lin, Jiaying Liu:
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition. 1688-1696 - Jianhui Zhang, Jun Yao, Liqi Yan, Yanhong Xu, Zheng Wang:
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction. 1697-1705 - Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng:
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset. 1706-1714 - Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang:
A Fourier Perspective of Feature Extraction and Adversarial Robustness. 1715-1723 - Yang Zhang, Songhe Feng, Jiazheng Yuan:
Continual Compositional Zero-Shot Learning. 1724-1732 - Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue:
GenSeg: On Generating Unified Adversary for Segmentation. 1733-1742 - Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei, Hongyu Zhou, Jianjian Sun, Yuang Peng, Runpei Dong, Chunrui Han, Xiangyu Zhang:
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning. 1743-1752 - Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao:
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. 1753-1761 - Bangbang Zhou, Yadong Qu, Zixiao Wang, Zicheng Li, Boqiang Zhang, Hongtao Xie:
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition. 1762-1770 - Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang:
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. 1771-1779 - Yanghong Zhou, Dawei Liu, P. Y. Mok:
Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance. 1780-1787 - Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang:
Zero-shot High-fidelity and Pose-controllable Character Animation. 1788-1797 - Hao Zhu, Yan Zhu, Jiayu Xiao, Yike Ma, Yucheng Zhang, Jintao Li, Feng Dai:
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation. 1798-1806 - Qikui Zhu, Chuan Fu, Shuo Li:
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. 1807-1815 - Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun:
ABM: Attention before Manipulation. 1816-1824 - Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang:
SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models. 1825-1833 - Zuo Zuo, Yao Wu, Baoqiang Li, Jiahao Dong, You Zhou, Lei Zhou, Yanyun Qu, Zongze Wu:
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies. 1834-1842
Constraint Satisfaction and Optimization
- Alexandre Bonlarron, Jean-Charles Régin:
Markov Constraint as Large Language Model Surrogate. 1844-1852 - Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl:
A Top-Down Tree Model Counter for Quantified Boolean Formulas. 1853-1861 - Che Cheng, Yun-Rong Luo, Jie-Hong R. Jiang:
Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability. 1862-1872 - Laura Codazzi, Gergely Csáji, Matthias Mnich:
Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage Capabilities. 1873-1880 - Mateus de Oliveira Oliveira, Wim Vanden Broeck:
Optimal Extended Formulations from Optimal Dynamic Programming Algorithms. 1881-1888 - Leif Eriksson, Victor Lagerkvist, Sebastian Ordyniak, George Osipov, Fahad Panolan, Mateusz Rychlicki:
Solving Quantified Boolean Formulas with Few Existential Variables. 1889-1897 - Zhengyu Li, Curtis Bright, Vijay Ganesh:
A SAT Solver + Computer Algebra Attack on the Minimum Kochen-Specker Problem. 1898-1906 - Zhengyang Lu, Stefan Siemer, Piyush Jha, Joel D. Day, Florin Manea, Vijay Ganesh:
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis. 1907-1915 - Younes Mechqrane, Christian Bessiere, Ismail Elabbassi:
Using Large Language Models to Improve Query-based Constraint Acquisition. 1916-1925 - Loay Mualem, Murad Tukan, Moran Feldman:
Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization. 1926-1934 - Junqiang Peng, Mingyu Xiao:
A Fast Algorithm for MaxSAT above Half Number of Clauses. 1935-1943 - Chenxi Qiu:
Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition. 1944-1952 - Paul Gerhardt Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen:
Convexity Certificates for Symbolic Tensor Expressions. 1953-1960 - Tan D. Tran, Canh V. Pham, Dung T. K. Ha, Phuong N. H. Pham:
Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint. 1961-1969 - Yifan Xia, Xiangyi Zhang:
A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints. 1970-1978 - Mingwei Zhang, Liangda Fang, Zhenhao Gu, Quanlong Guan, Yong Lai:
A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs. 1979-1988 - Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He:
Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. 1989-1997
Data Mining
- Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang:
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation. 1999-2008 - Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong:
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. 2009-2017 - Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song:
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. 2018-2026 - Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang:
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. 2027-2035 - Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Leon Schiller:
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment. 2036-2044 - Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu:
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. 2045-2053 - Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. 2054-2062 - Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. 2063-2071 - Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu:
Exploring the Role of Node Diversity in Directed Graph Representation Learning. 2072-2080 - Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu:
Multiplex Graph Representation Learning via Bi-level Optimization. 2081-2089 - Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong:
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. 2090-2098 - Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin:
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. 2099-2107 - Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu:
PHSIC against Random Consistency and Its Application in Causal Inference. 2108-2116 - Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu:
Zero-shot Learning for Preclinical Drug Screening. 2117-2125 - Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu:
Contrastive Learning Drug Response Models from Natural Language Supervision. 2126-2134 - Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li:
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. 2135-2143 - Zhengdao Li, Yong Cao, Kefan Shuai, Yiming Miao, Kai Hwang:
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs. 2144-2152 - Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan:
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. 2153-2161 - Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng:
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection. 2162-2170 - Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. 2171-2179 - Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. 2180-2188 - Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma:
Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry. 2189-2197 - Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li:
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. 2198-2206 - Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong:
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. 2207-2215 - Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He:
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting. 2216-2224 - Ziyang Liu, Chaokun Wang, Cheng Wu:
Graph Contrastive Learning with Reinforcement Augmentation. 2225-2233 - Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi:
Heterogeneous Graph Transformer with Poly-Tokenization. 2234-2242 - Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. 2243-2251 - Siqiang Luo, Zulun Zhu:
Massively Parallel Single-Source SimRanks in O(log N) Rounds. 2252-2260 - Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu:
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. 2261-2269 - Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang:
SeeDRec: Sememe-based Diffusion for Sequential Recommendation. 2270-2278 - Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang:
Multi-Modal Sarcasm Detection Based on Dual Generative Processes. 2279-2287 - Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao:
Graph Collaborative Expert Finding with Contrastive Learning. 2288-2296 - Petros Petsinis, Andreas Pavlogiannis, Josef Tkadlec, Panagiotis Karras:
Seed Selection in the Heterogeneous Moran Process. 2297-2305 - Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou:
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. 2306-2314 - Guangming Qin, Jianpeng Qi, Bin Wang, Guiyuan Jiang, Yanwei Yu, Junyu Dong:
Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data. 2315-2323 - Jihyeon Seong, Sekwang Oh, Jaesik Choi:
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning. 2324-2332 - Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li:
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. 2333-2341 - Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan:
Unsupervised Deep Graph Structure and Embedding Learning. 2342-2350 - Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu:
Efficient Correlated Subgraph Searches for AI-powered Drug Discovery. 2351-2361 - Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao:
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning. 2362-2369 - Shuting Tao, Tongtian Zhu, Hongwei Wang, Xiangming Meng:
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data. 2370-2378 - Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz:
Instance-Level Metalearning for Outlier Detection. 2379-2387 - Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang:
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. 2388-2396 - Chenhao Wang, Yong Liu, Yan Yang, Wei Li:
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph. 2397-2405 - Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong:
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. 2406-2414 - Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang:
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation. 2415-2423 - Zhen Wang, Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li:
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics. 2424-2432 - Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen:
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. 2433-2441 - Di Wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin:
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling. 2442-2450 - Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang:
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection. 2451-2459 - Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin:
Hierarchical Reinforcement Learning for Point of Interest Recommendation. 2460-2468 - Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu:
Learning Fair Representations for Recommendation via Information Bottleneck Principle. 2469-2477 - Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang:
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation. 2478-2486 - Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang:
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. 2487-2495 - Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin:
Joint Domain Adaptive Graph Convolutional Network. 2496-2504 - Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan:
Kernel Readout for Graph Neural Networks. 2505-2514 - Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng:
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. 2515-2523 - Wenzhen Yue, Xianghua Ying, Ruohao Guo, DongDong Chen, Ji Shi, Bowei Xing, Yuqing Zhu, Taiyan Chen:
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods. 2524-2532 - Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. 2533-2541 - Qiang Zhang, Jiawei Liu, Fanrui Zhang, Jingyi Xie, Zheng-Jun Zha:
Natural Language-centered Inference Network for Multi-modal Fake News Detection. 2542-2550 - Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. 2551-2560 - Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang:
SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation. 2561-2569 - Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. 2570-2578 - Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. 2579-2587 - Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu:
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. 2588-2597 - Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao:
Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction. 2598-2606 - Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. 2607-2615 - Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang:
Generalized Taxonomy-Guided Graph Neural Networks. 2616-2624 - Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su:
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. 2625-2633 - Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao:
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. 2634-2641
Game Theory and Economic Paradigms
- Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon:
Optimizing Viscous Democracy. 2643-2650 - Gennaro Auricchio, Zihe Wang, Jie Zhang:
Facility Location Problems with Capacity Constraints: Two Facilities and Beyond. 2651-2659 - Xiaohui Bei, Alexander Lam, Xinhang Lu, Warut Suksompong:
Welfare Loss in Connected Resource Allocation. 2660-2668 - Ratip Emin Berker, Vincent Conitzer:
Computing Optimal Equilibria in Repeated Games with Restarts. 2669-2677 - Niclas Boehmer, Piotr Faliszewski, Lukasz Janeczko, Dominik Peters, Grzegorz Pierczynski, Simon Schierreich, Piotr Skowron, Stanislaw Szufa:
Evaluation of Project Performance in Participatory Budgeting. 2678-2686 - Ioannis Caragiannis, Georgios Kalantzis:
Randomized Learning-Augmented Auctions with Revenue Guarantees. 2687-2694 - Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar:
Layered Graph Security Games. 2695-2703 - Juhi Chaudhary, Hendrik Molter, Meirav Zehavi:
Parameterized Analysis of Bribery in Challenge the Champ Tournaments. 2704-2712 - Vasilis Christoforidis, Christodoulos Santorinaios:
On the Pursuit of EFX for Chores: Non-existence and Approximations. 2713-2721 - Saar Cohen, Noa Agmon:
Online Learning of Partitions in Additively Separable Hedonic Games. 2722-2730 - Gergely Csáji, David F. Manlove, Iain McBride, James Trimble:
Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples. 2731-2739 - Gergely Csáji:
Popular and Dominant Matchings with Uncertain and Multimodal Preferences. 2740-2747 - Alberto Del Pia, Dusan Knop, Alexandra Lassota, Krzysztof Sornat, Nimrod Talmon:
Aggregation of Continuous Preferences in One Dimension. 2748-2756 - Théo Delemazure, Chris Dong, Dominik Peters, Magdaléna Tydrichová:
Comparing Ways of Obtaining Candidate Orderings from Approval Ballots. 2757-2765 - Théo Delemazure, Lukasz Janeczko, Andrzej Kaczmarczyk, Stanislaw Szufa:
Selecting the Most Conflicting Pair of Candidates. 2766-2773 - Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Truthful Interval Covering. 2774-2781 - Argyrios Deligkas, Eduard Eiben, Dusan Knop, Simon Schierreich:
Individual Rationality in Topological Distance Games Is Surprisingly Hard. 2782-2790 - Soroush Ebadian, Daniel Halpern, Evi Micha:
Metric Distortion with Elicited Pairwise Comparisons. 2791-2798 - Jugal Garg, Aniket Murhekar, John Qin:
Weighted EF1 and PO Allocations with Few Types of Agents or Chores. 2799-2806 - Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma:
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division. 2807-2815 - Qishen Han, Amélie Marian, Lirong Xia:
Determining Winners in Elections with Absent Votes. 2816-2824 - Hadi Hosseini, Shivika Narang, Tomasz Was:
Fair Distribution of Delivery Orders. 2825-2833 - Matthew Iceland, Anson Kahng, Joseph Saber:
Sampling Winners in Ranked Choice Voting. 2834-2841 - Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Marc Uetz, Marnix C. Vos:
Equilibria in Two-Stage Facility Location with Atomic Clients. 2842-2850 - Mohamad Latifian, Alexandros A. Voudouris:
The Distortion of Threshold Approval Matching. 2851-2859 - Sulian Le Bozec-Chiffoleau, Charles Prud'homme, Gilles Simonin:
Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem. 2860-2867 - Bo Li, Zihao Li, Shengxin Liu, Zekai Wu:
Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio. 2868-2876 - Bo Li, Lijun Li, Minming Li, Ruilong Zhang:
Public Event Scheduling with Busy Agents. 2877-2885 - Juncheng Li, Pingzhong Tang:
Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets. 2886-2894 - Junkang Li, Bruno Zanuttini, Véronique Ventos:
Combinatorial Games with Incomplete Information. 2895-2903 - Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen:
Optimal Auction Design with User Coupons in Advertising Systems. 2904-2912 - Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh:
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. 2913-2921 - Pasin Manurangsi, Warut Suksompong:
Ordinal Maximin Guarantees for Group Fair Division. 2922-2930 - Bharat Manvi, Sanjay Chandlekar, Easwar Subramanian:
Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis. 2931-2939 - Cynthia Maushagen, David Niclaus, Paul Nüsken, Jörg Rothe, Tessa Seeger:
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections. 2940-2948 - Evi Micha, Shreyas Sekar, Nisarg Shah:
What Is Best for Students, Numerical Scores or Letter Grades? 2949-2957 - Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Computational Complexity of Verifying the Group No-show Paradox. 2958-2966 - Dariusz Stolicki, Wojciech Slomczynski, Stanislaw Szufa:
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections. 2967-2975 - Pang Jin Tan, Shih-Fen Cheng, Richard Chen:
Enabling Sustainable Freight Forwarding Network via Collaborative Games. 2976-2983 - Emanuel Tewolde, Vincent Conitzer:
Game Transformations That Preserve Nash Equilibria or Best-Response Sets. 2984-2993 - Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer:
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. 2994-3004 - Toby Walsh:
Mechanisms That Play a Game, Not Toss a Coin. 3005-3013 - Fangxiao Wang, Bo Li, Pinyan Lu:
Improved Approximation of Weighted MMS Fairness for Indivisible Chores. 3014-3022 - Yongjie Yang:
How Hard Is It to Impact the Impact of Your Paper? 3023-3031 - Brian Hu Zhang, Tuomas Sandholm:
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games. 3032-3039 - Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge:
A Strategic Analysis of Prepayments in Financial Credit Networks. 3040-3048 - Yu Zhou, Tianze Wei, Minming Li, Bo Li:
A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna. 3049-3056
Humans and AI
- Gilles Baechler, Srinivas Sunkara, Maria Wang, Fedir Zubach, Hassan Mansoor, Vincent Etter, Victor Carbune, Jason Lin, Jindong Chen, Abhanshu Sharma:
ScreenAI: A Vision-Language Model for UI and Infographics Understanding. 3058-3068 - Ziyu Jia, Fengming Zhao, Yuzhe Guo, Hairong Chen, Tianzi Jiang:
Multi-level Disentangling Network for Cross-Subject Emotion Recognition Based on Multimodal Physiological Signals. 3069-3077 - Chenyu Liu, Xinliang Zhou, Jiaping Xiao, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu:
VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition. 3078-3086 - Jinduo Liu, Feipeng Wang, Junzhong Ji:
Concept-Level Causal Explanation Method for Brain Function Network Classification. 3087-3096 - Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li:
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. 3097-3105 - Syed Hasan Amin Mahmood, Zhuoran Lu, Ming Yin:
Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making. 3106-3114 - Qinke Ni, Hongyu Zhang, Cunhang Fan, Shengbing Pei, Chang Zhou, Zhao Lv:
DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection. 3115-3123 - Bo Qian, Zhenhuan Wei, Jiashuo Li, Xing Wei:
ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction. 3124-3132 - Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng:
TIM: An Efficient Temporal Interaction Module for Spiking Transformer. 3133-3141 - Xiaotian Song, Andy Song, Rong Xiao, Yanan Sun:
One-step Spiking Transformer with a Linear Complexity. 3142-3150 - Miaohui Wang, Yukuan Zhu, Rong Zhang, Wuyuan Xie:
MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation. 3151-3159 - Yang Wang, Haiyang Mei, Qirui Bao, Ziqi Wei, Mike Zheng Shou, Haizhou Li, Bo Dong, Xin Yang:
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition. 3160-3168 - Zhiqiong Wang, Hanyu Liu, Boyang Zhao, Qi Shen, Mingzhe Li, Ningfeng Que, Mingke Yan, Junchang Xin:
Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition. 3169-3177 - Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu:
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. 3178-3186 - Jun Yu, Keda Lu, Ji Zhao, Zhihong Wei, Iek-Heng Chu, Peng Chang:
Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation. 3187-3195 - Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao:
CausVSR: Causality Inspired Visual Sentiment Recognition. 3196-3204
Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
General Epistemic Abstract Argumentation Framework: Semantics and Complexity. 3206-3214 - Mario Alviano, Carmine Dodaro, Salvatore Fiorentino, Marco Maratea:
AMO-aware Aggregates in Answer Set Programming. 3215-3223 - Leila Amgoud, Dragan Doder, Marie-Christine Lagasquie-Schiex:
Higher-Order Argumentation Frameworks: Principles and Gradual Semantics. 3224-3231 - Benjamin Aminof, Giuseppe De Giacomo, Gianmarco Parretti, Sasha Rubin:
Effective Approach to LTLf Best-Effort Synthesis in Multi-Tier Environments. 3232-3240 - Bartosz Bednarczyk:
Data Complexity in Expressive Description Logics with Path Expressions. 3241-3249 - Alexander Beiser, Markus Hecher, Kaan Unalan, Stefan Woltran:
Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting. 3250-3258 - Adel Bouhoula, Miki Hermann:
Primal Grammars Driven Automated Induction. 3259-3269 - Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno:
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring. 3270-3280 - Giovanni Buraglio, Wolfgang Dvorák, Matthias König, Markus Ulbricht:
Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes. 3281-3288 - Victor Charpenay, Steven Schockaert:
Capturing Knowledge Graphs and Rules with Octagon Embeddings. 3289-3297 - Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li:
Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification. 3298-3306 - Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo:
Enhancing Controlled Query Evaluation through Epistemic Policies. 3307-3314 - Alexis de Colnet, Stefan Szeider, Tianwei Zhang:
Compilation and Fast Model Counting beyond CNF. 3315-3323 - Tiago de Lima, Emiliano Lorini:
Model Checking Causality. 3324-3332 - Thomas Eiter, Johannes Klaus Fichte, Markus Hecher, Stefan Woltran:
Epistemic Logic Programs: Non-Ground and Counting Complexity. 3333-3341 - Thomas Eiter, Davide Soldà:
Computational Aspects of Progression for Temporal Equilibrium Logic. 3342-3350 - Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan:
On the Logic of Theory Change Iteration of KM-Update, Revised. 3351-3359 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Giuseppina Monterosso:
Quantitative Reasoning over Incomplete Abstract Argumentation Frameworks. 3360-3368 - Masood Feyzbakhsh Rankooh, Tomi Janhunen:
Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer Programming. 3369-3376 - Robert Ganian, Viktoriia Korchemna, Stefan Szeider:
Revisiting Causal Discovery from a Complexity-Theoretic Perspective. 3377-3385 - Lukas Gerlach, David Carral, Markus Hecher:
Finite Groundings for ASP with Functions: A Journey through Consistency. 3386-3394 - Pierre-François Gimenez, Jérôme Mengin:
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle. 3395-3403 - Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt:
Quantitative Claim-Centric Reasoning in Logic-Based Argumentation. 3404-3412 - Jesse Heyninck, Ofer Arieli:
Semantics for Non-Flat Assumption-Based Argumentation, Revisited. 3413-3420 - Céline Hocquette, Sebastijan Dumancic, Andrew Cropper:
Learning Logic Programs by Discovering Higher-Order Abstractions. 3421-3429 - Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper:
Learning Big Logical Rules by Joining Small Rules. 3430-3438 - Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li:
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. 3439-3447 - Jean Christoph Jung, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
Extremal Separation Problems for Temporal Instance Queries. 3448-3456 - Tuomo Lehtonen, Anna Rapberger, Francesca Toni, Markus Ulbricht, Johannes Peter Wallner:
Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation. 3457-3465 - Chengtai Li, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Heng Yu, Xudong Jiang:
Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations. 3466-3474 - Daxin Liu, Jens Claßen:
First-Order Progression beyond Local-Effect and Normal Actions. 3475-3483 - Tim S. Lyon, Jonas Karge:
Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents. 3484-3492 - Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm:
Model-Free Preference Elicitation. 3493-3503 - Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem:
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding. 3504-3512 - Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder:
Revising Beliefs and Intentions in Stochastic Environments. 3513-3522 - Nguyen Anh Kiet, Markus Ulbricht:
Preferred Reasoning in ABA by Cycle-Breaking. 3523-3531 - Pierre Nunn, Marco Sälzer, François Schwarzentruber, Nicolas Troquard:
A Logic for Reasoning about Aggregate-Combine Graph Neural Networks. 3532-3540 - Badran Raddaoui, Christian Straßer, Saïd Jabbour:
Towards a Principle-based Framework for Assessing the Contribution of Formulas on the Conflicts of Knowledge Bases. 3541-3548 - Alessandro Ronca:
The Transformation Logics. 3549-3557 - Qi Shi:
Agentive Permissions in Multiagent Systems. 3558-3566 - Balder ten Cate, Raoul Koudijs, Ana Ozaki:
On the Power and Limitations of Examples for Description Logic Concepts. 3567-3575 - Matthias Thimm:
Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics. 3576-3583 - Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras:
A Tensor-Based Formalization of the Event Calculus. 3584-3592 - Harry Vinall-Smeeth:
Structured d-DNNF Is Not Closed under Negation. 3593-3601 - Nathaniel Weir, Peter Clark, Benjamin Van Durme:
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. 3602-3612 - Yuan Yang, Siheng Xiong, Ali Payani, James Clayton Kerce, Faramarz Fekri:
Temporal Inductive Logic Reasoning over Hypergraphs. 3613-3621 - Xiang Yin, Nico Potyka, Francesca Toni:
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. 3622-3630 - Pian Yu, Shufang Zhu, Giuseppe De Giacomo, Marta Kwiatkowska, Moshe Y. Vardi:
The Trembling-Hand Problem for LTLf Planning. 3631-3641
Machine Learning
- Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine-tuning Pre-trained Models for Robustness under Noisy Labels. 3643-3651 - Spyros Angelopoulos, Marcin Bienkowski, Christoph Dürr, Bertrand Simon:
Contract Scheduling with Distributional and Multiple Advice. 3652-3660 - Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady:
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. 3661-3668 - Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, Christophe Labreuche, Michèle Sebag:
Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. 3669-3678 - Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On the Computation of Example-Based Abductive Explanations for Random Forests. 3679-3687 - Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories. 3688-3696 - Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti:
Online Learning with Off-Policy Feedback in Adversarial MDPs. 3697-3705 - Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li:
Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows. 3706-3714 - Matteo Bianchi, Antonio De Santis, Andrea Tocchetti, Marco Brambilla:
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification. 3715-3723 - Jianyuan Bo, Yuan Fang:
Contrastive General Graph Matching with Adaptive Augmentation Sampling. 3724-3732 - Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete:
Towards Exact Computation of Inductive Bias. 3733-3741 - Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hüllermeier:
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO. 3742-3750 - Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv:
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. 3751-3759 - Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng:
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. 3760-3769 - Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo:
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. 3770-3779 - Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. 3780-3788 - Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. 3789-3797 - Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang:
Off-Agent Trust Region Policy Optimization. 3798-3806 - Wenxi Chen, Yuzhe Liang, Ziyang Ma, Zhisheng Zheng, Xie Chen:
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer. 3807-3815 - Xuyang Chen, Jingliang Duan, Lin Zhao:
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator. 3816-3824 - Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang:
Boosting Single Positive Multi-label Classification with Generalized Robust Loss. 3825-3833 - Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li:
Disentangling Domain and General Representations for Time Series Classification. 3834-3842 - Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen:
Automated CPU Design by Learning from Input-Output Examples. 3843-3853 - Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian:
Deep Embedding Clustering Driven by Sample Stability. 3854-3862 - Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim:
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. 3863-3871 - Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata:
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure. 3872-3880 - Abdoulatif Cissé, Xenophon Evangelopoulos, Sam Carruthers, Vladimir V. Gusev, Andrew I. Cooper:
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses. 3881-3889 - Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos:
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning. 3890-3898 - Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu:
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1. 3899-3907 - Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. 3908-3916 - Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma:
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series. 3917-3925 - Wei Duan, Jie Lu, Junyu Xuan:
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. 3926-3934 - Latifa Errami, El Houcine Bergou:
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion. 3935-3943 - Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. 3944-3952 - Shijie Fang, Qianhan Feng, Tong Lin:
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning. 3953-3961 - Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Federated Multi-View Clustering via Tensor Factorization. 3962-3970 - Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. 3971-3979 - Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian:
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. 3980-3988 - Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu:
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. 3989-3997 - Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. 3998-4006 - Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints. 4007-4015 - Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt:
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. 4016-4024 - Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. 4025-4034 - Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang:
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. 4035-4043 - Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An:
PoRank: A Practical Framework for Learning to Rank Policies. 4044-4052 - Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao:
P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation. 4053-4061 - Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo:
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. 4062-4070 - Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li:
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. 4071-4079 - Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski:
Online Sampling and Decision Making with Low Entropy. 4080-4088 - Qi Han, Zhibo Tian, Chengwei Xia, Kun Zhan:
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification. 4089-4097 - Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai:
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data. 4098-4106 - Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu:
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward. 4107-4115 - Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. 4116-4126 - Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang:
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. 4127-4135 - Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu:
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. 4136-4146 - Sixu Hu, Linshan Jiang, Bingsheng He:
Practical Hybrid Gradient Compression for Federated Learning Systems. 4147-4155 - Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang:
Multimodal Representation Distribution Learning for Medical Image Segmentation. 4156-4164 - Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang:
LeRet: Language-Empowered Retentive Network for Time Series Forecasting. 4165-4173 - Rui Huang, Sikun Yang, Heinz Koeppl:
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. 4174-4182 - Teng Huang, Bin-Bin Jia, Min-Ling Zhang:
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features. 4183-4191 - Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv:
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. 4192-4200 - Yuyang Huang, Wenjing Lu, Yang Yang:
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing. 4201-4209 - Tomoharu Iwata, Yusuke Tanaka:
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics. 4210-4218 - Han Ji, Yuqi Feng, Yanan Sun:
CAP: A Context-Aware Neural Predictor for NAS. 4219-4227 - Yuheng Jia, Jiawei Tang, Jiahao Jiang:
Label Distribution Learning from Logical Label. 4228-4236 - Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang:
QFormer: An Efficient Quaternion Transformer for Image Denoising. 4237-4245 - Chi Jiang, Xihan Liu, Shenao Wang, Jinzhuo Liu, Yin Zhang:
EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection. 4246-4254 - Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma:
Temporal Domain Generalization via Learning Instance-level Evolving Patterns. 4255-4263 - Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt:
Scaling Up Unbiased Search-based Symbolic Regression. 4264-4272 - JunLong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He:
Integrating Vision-Language Semantic Graphs in Multi-View Clustering. 4273-4281 - Donghoon Kim, Minjong Yoo, Honguk Woo:
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks. 4282-4290 - Nam Joon Kim, Jongho Lee, Hyun Kim:
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks. 4291-4299 - Woo Kyung Kim, Minjong Yoo, Honguk Woo:
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation. 4300-4307 - Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu:
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. 4308-4316 - Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li:
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. 4317-4325 - Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng:
Exploiting Multi-Label Correlation in Label Distribution Learning. 4326-4334 - N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. 4335-4343 - Ondrej Kubícek, Neil Burch, Viliam Lisý:
Look-ahead Search on Top of Policy Networks in Imperfect Information Games. 4344-4352 - Philipp Kunz, Ilche Georgievski, Marco Aiello:
Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts. 4353-4360 - Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks via Complex Network Theory: A Perspective. 4361-4369 - Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen:
A De-singularity Subgradient Approach for the Extended Weber Location Problem. 4370-4379 - Viet Quan Le, Viet Cuong Ta:
Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space. 4380-4388 - JooChul Lee, Weidong Ma, Ziyang Wang:
Unbiased Active Semi-supervised Binary Classification Models. 4389-4397 - Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Hypergraph Self-supervised Learning with Sampling-efficient Signals. 4398-4406 - Jiahao Li, Ruichu Cai, Yuguang Yan:
Combinatorial Routing for Neural Trees. 4407-4415 - Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan:
A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning. 4416-4424 - Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan:
DWLR: Domain Adaptation under Label Shift for Wearable Sensor. 4425-4433 - Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan:
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. 4434-4442 - Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang:
DarkFed: A Data-Free Backdoor Attack in Federated Learning. 4443-4451 - Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou:
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. 4452-4460 - Tengjie Li, Shikui Tu, Lei Xu:
SketchEdit: Editing Freehand Sketches at the Stroke-Level. 4461-4469 - Xiang Li, Songcan Chen:
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. 4470-4478 - Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang:
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. 4479-4487 - Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren:
Fast Unpaired Multi-view Clustering. 4488-4496 - Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang:
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations. 4497-4505 - Yong Li, Sven Schewe, Qiyi Tang:
Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata. 4506-4514 - Zhe Li, Shuo Chen, Jian Yang, Lei Luo:
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection. 4515-4523 - Zhengwei Li, Zhenyang Lin, Yurou Chen, Zhiyong Liu:
Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation. 4524-4532 - Zhuohua Li, Maoli Liu, John C. S. Lui:
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients. 4533-4541 - Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Qinmei Xu, Zunnan Xu, Jingquan Liu, Jiasheng Lu, Xiu Li:
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback. 4542-4550 - Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Gui Gui, Shuguang Cui, Jinke Ren:
Scalable Federated Unlearning via Isolated and Coded Sharding. 4551-4559 - Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. 4560-4568 - Kaiming Liu, Yunhong Gong, Yu Cao, Zhenwen Ren, Dezhong Peng, Yuan Sun:
Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval. 4569-4577 - Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang:
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy. 4578-4586 - Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou:
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator. 4587-4595 - Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan:
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks. 4596-4604 - Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan:
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. 4605-4613 - Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. 4614-4622 - Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun:
An NCDE-based Framework for Universal Representation Learning of Time Series. 4623-4633 - Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. 4634-4642 - Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou, Shizhe Hu:
Self-supervised Weighted Information Bottleneck for Multi-view Clustering. 4643-4650 - Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun:
Revisiting Neural Networks for Continual Learning: An Architectural Perspective. 4651-4659 - Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang, Yun Xin:
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game. 4660-4668 - Shuai Lü, Meng Kang, Ximing Li:
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence. 4669-4677 - Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang:
Implicit Prompt Learning for Image Denoising. 4678-4686 - Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Zhou, Hongfei Lin:
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections. 4687-4695
Machine Learning
- Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu:
Simple Contrastive Multi-View Clustering with Data-Level Fusion. 4697-4705 - Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang:
Rank and Align: Towards Effective Source-free Graph Domain Adaptation. 4706-4714 - Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng:
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. 4715-4723 - Jiajun Ma, Tianyang Hu, Wenjia Wang:
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. 4724-4732 - Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla:
Learning Embeddings for Sequential Tasks Using Population of Agents. 4733-4741 - Junxiang Mao, Jun-Yi Hang, Min-Ling Zhang:
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification. 4742-4750 - Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober:
ROME: Robust Multi-Modal Density Estimator. 4751-4759 - Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. 4760-4768 - Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen:
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI. 4769-4777 - Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. 4778-4787 - Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. 4788-4796 - Jie Peng, Weiyu Li, Qing Ling:
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks. 4797-4805 - Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang:
FedPFT: Federated Proxy Fine-Tuning of Foundation Models. 4806-4814 - Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng:
Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. 4815-4823 - Parikshit Ram, Tim Klinger, Alexander G. Gray:
What Makes Models Compositional? A Theoretical View. 4824-4832 - Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao:
Dual Expert Distillation Network for Generalized Zero-Shot Learning. 4833-4841 - Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He:
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. 4842-4850 - Yilong Ren, Chuanwen Feng, Xike Xie, S. Kevin Zhou:
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. 4851-4859 - Yuta Saito, Masahiro Nomura:
Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It. 4860-4867 - Noah Schutte, Krzysztof Postek, Neil Yorke-Smith:
Robust Losses for Decision-Focused Learning. 4868-4875 - Manisha Senadeera, Thommen Karimpanal George, Stephan Jacobs, Sunil Gupta, Santu Rana:
EMOTE: An Explainable Architecture for Modelling the Other through Empathy. 4876-4884 - Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. 4885-4893 - Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin:
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. 4894-4901 - Shuo Shi, Chao Peng, Chenyang Xu, Zhengfeng Yang:
A Context-Enhanced Framework for Sequential Graph Reasoning. 4902-4910 - Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai:
Learning with Posterior Sampling for Revenue Management under Time-varying Demand. 4911-4919 - Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi:
Learning Pareto Set for Multi-Objective Continuous Robot Control. 4920-4928 - Padmanaba Srinivasan, William J. Knottenbelt:
Offline Reinforcement Learning with Behavioral Supervisor Tuning. 4929-4937 - Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv:
Robust Contrastive Multi-view Kernel Clustering. 4938-4945 - Tao Tan, Hong Xie, Defu Lian:
Adaptive Order Q-learning. 4946-4954 - Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie:
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. 4955-4963 - Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye:
Deep Hierarchical Graph Alignment Kernels. 4964-4972 - Wei Tang, Weijia Zhang, Min-Ling Zhang:
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning. 4973-4981 - Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li:
Dual Calibration-based Personalised Federated Learning. 4982-4990 - Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li:
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. 4991-4999 - Yi Tang, Yi Gao, Yonggang Luo, Jucheng Yang, Miao Xu, Min-Ling Zhang:
Unlearning from Weakly Supervised Learning. 5000-5008 - Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar:
Redefining Contributions: Shapley-Driven Federated Learning. 5009-5017 - Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. 5018-5026 - Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla:
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. 5027-5036 - Saurabh Varshneya, Antoine Ledent, Philipp Liznerski, Andriy Balinskyy, Purvanshi Mehta, Waleed Mustafa, Marius Kloft:
Interpretable Tensor Fusion. 5037-5045 - Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan:
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. 5046-5054 - Jing Wang, Songhe Feng:
Contrastive and View-Interaction Structure Learning for Multi-view Clustering. 5055-5063 - Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Hacking Task Confounder in Meta-Learning. 5064-5072 - Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He:
Strengthening Layer Interaction via Dynamic Layer Attention. 5073-5081 - Pengfei Wang, Nenggan Zheng:
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation. 5082-5090 - Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao:
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. 5091-5098 - Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song:
A Grassmannian Manifold Self-Attention Network for Signal Classification. 5099-5107 - Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. 5108-5116 - Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu, Lei Xu:
Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches. 5117-5125 - Yifeng Wang, Yi Zhao:
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement. 5126-5134 - Yiyang Wang, Yuchen Han, Yuhan Guo:
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction. 5135-5143 - Yulong Wang:
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery. 5144-5152 - Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Subgraph Pooling: Tackling Negative Transfer on Graphs. 5153-5161 - Zhi Wang, Zhuo Liu, Dong Hu, Tao Jia:
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis. 5162-5170 - Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe:
Cross-Talk Reduction. 5171-5180 - Ping Wei, Menghan Liu, Jianhuan Cen, Ziyang Zhou, Liao Chen, Qingsong Zou:
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs. 5181-5189 - Wen Wen, Han Li, Tieliang Gong, Hong Chen:
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning. 5190-5198 - Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu:
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. 5199-5207 - Shiguang Wu, Yaqing Wang, Quanming Yao:
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. 5208-5216 - Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao:
Synthesizing Programmatic Policy for Generalization within Task Domain. 5217-5225 - Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu:
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt. 5226-5234 - Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan:
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. 5235-5244 - Zhiyu Wu, Jinshi Cui:
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning. 5245-5253 - Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng:
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. 5254-5262 - Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao:
Trusted Multi-view Learning with Label Noise. 5263-5271 - Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. 5272-5280 - Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao:
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. 5281-5288 - Yi Xu, Ying Li, Haoyu Luo, Xiaoliang Fan, Xiao Liu:
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning. 5289-5297 - Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. 5298-5306 - Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen:
Dynamic against Dynamic: An Open-Set Self-Learning Framework. 5307-5315 - Qingyuan Yang, Hu Ding:
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers. 5316-5325 - Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng:
Navigating Continual Test-time Adaptation with Symbiosis Knowledge. 5326-5334 - Yingnan Yang, Qingling Zhu, Jianyong Chen:
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting. 5335-5343 - Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu:
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. 5344-5352 - Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe:
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. 5353-5361 - Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang:
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning. 5362-5370 - Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. 5371-5379 - Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding:
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes. 5380-5388 - Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng:
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices. 5389-5397 - Yingqi Yu, Sijia Zhang, Shaoang Li, Lan Zhang, Wei Xie, Xiang-Yang Li:
Bandits with Concave Aggregated Reward. 5398-5406 - Yonghao Yu, Shunan Zhu, Huai Qin, Haorui Li:
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion. 5407-5415 - Bixiao Zeng, Xiaodong Yang, Yiqiang Chen, Zhiqi Shen, Hanchao Yu, Yingwei Zhang:
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise. 5416-5424 - Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He:
Task-Agnostic Self-Distillation for Few-Shot Action Recognition. 5425-5433 - Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li:
Continual Multi-View Clustering with Consistent Anchor Guidance. 5434-5442 - Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng:
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. 5443-5452 - Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang:
Federated Adaptation for Foundation Model-based Recommendations. 5453-5461 - Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yufeng Li:
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning. 5462-5470 - Lefan Zhang, Zhang-Hao Tian, Wujun Zhou, Wei Wang:
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss. 5471-5480 - Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen:
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. 5481-5489 - Tiange Zhang, Qing Cai, Feng Gao, Lin Qi, Junyu Dong:
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting. 5490-5498 - Wenchang Zhang, Hua Wang, Fan Zhang:
Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting. 5499-5507 - Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng:
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. 5508-5516 - Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao:
Visual Attention Prompted Prediction and Learning. 5517-5525 - Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui:
Personalized Federated Learning for Cross-City Traffic Prediction. 5526-5534 - Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu:
Pre-training General User Representation with Multi-type APP Behaviors. 5535-5544 - Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang:
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation. 5545-5553 - Helin Zhao, Wei Chen, Peng Zhou:
Active Deep Multi-view Clustering. 5554-5562 - Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. 5563-5571 - Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang:
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes. 5572-5580 - Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang:
Towards Robust Multi-Label Learning against Dirty Label Noise. 5581-5589 - Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin:
Protecting Split Learning by Potential Energy Loss. 5590-5598 - Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. 5599-5607 - Xiang Zheng, Xingjun Ma, Chao Shen, Cong Wang:
Constrained Intrinsic Motivation for Reinforcement Learning. 5608-5616 - Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He:
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction. 5617-5625 - Chengjie Zhou, Chao Che, Pengfei Wang, Qiang Zhang:
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers. 5626-5634 - Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao:
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. 5635-5643 - Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung:
Denoising-Aware Contrastive Learning for Noisy Time Series. 5644-5652 - Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. 5653-5661 - Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen:
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. 5662-5670 - Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu:
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents. 5671-5679 - Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. 5680-5688 - Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang:
SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. 5689-5697 - Bowei Zhu, Shaojie Li, Yong Liu:
Towards Sharper Risk Bounds for Minimax Problems. 5698-5706 - Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. 5707-5715 - Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. 5716-5724 - Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. 5725-5733 - Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang:
Efficient Tuning and Inference for Large Language Models on Textual Graphs. 5734-5742 - Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu:
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. 5743-5752 - Daoming Zong, Chaoyue Ding, Baoxiang Li, Jiakui Li, Ken Zheng:
Balancing Multimodal Learning via Online Logit Modulation. 5753-5761
Multidisciplinary Topics and Applications
- Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang:
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. 5763-5771 - Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang:
Federated Prompt Learning for Weather Foundation Models on Devices. 5772-5780 - Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu:
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. 5781-5789 - Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma:
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries. 5790-5798 - Hastyn Doshi, Ayush Tripathi, Keshav Agarwal, Harshad Khadilkar, Shivaram Kalyanakrishnan:
Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks. 5799-5807 - Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang:
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. 5808-5816 - Zhenkan Fu, Shikai Guo, Hui Li, Rong Chen, Xiaochen Li, He Jiang:
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes. 5817-5825 - Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen:
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator. 5826-5834 - Bing Han, Junyu Dai, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, Yanmin Qian, Xuchen Song:
InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models. 5835-5843 - Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou:
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. 5844-5852 - Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling:
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. 5853-5861 - Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou:
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces. 5862-5871 - Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu:
Personalized Heart Disease Detection via ECG Digital Twin Generation. 5872-5881 - Ziyu Jia, Xihao Yang, Chenyang Zhou, Haoyang Deng, Tianzi Jiang:
ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification. 5882-5890 - Nan Jiang, Md. Nasim, Yexiang Xue:
Vertical Symbolic Regression via Deep Policy Gradient. 5891-5899 - Xikun Jiang, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, Yuan Luo:
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs. 5900-5908 - Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang:
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments. 5909-5917