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ORCID34th IJCAI 2025: Montreal, Canada
- Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, August 16-22, 2025. ijcai.org 2025
Main Track
Agent-based and Multi-agent Systems
- Natasha Alechina, Brian Logan, Giuseppe Perelli:
Synthesising Minimum Cost Dynamic Norms. 3-11 - Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev:
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. 12-20 - Davide Catta, Jean Leneutre, Vadim Malvone, James Ortiz:
Coalition Obstruction Temporal Logic: A New Obstruction Logic to Reason About Demon Coalitions. 21-28 - Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li:
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments. 29-37 - Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh:
Requirement Patterns for Engineering Multiagent Interaction Protocols. 38-46 - Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti:
Responsibility Anticipation and Attribution in LTLf. 47-55 - Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Viktoriia Korchemna:
EF1 and EFX Orientations. 56-63 - Wei Du, Shifei Ding, Wei Guo, Yuqing Sun, Guoxian Yu, Lizhen Cui:
Multi-Agent Communication with Information Preserving Graph Contrastive Learning. 64-71 - Xiaoqing Fan, Chin-wing Leung, Paolo Turrini:
Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking. 72-80 - Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis:
Argument-based Multi-Issue Negotiation. 81-89 - Tianci Gao, Yuzhen Zhang, Hang Guo, Pei Lv:
SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction. 90-98 - Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan:
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning. 99-107 - Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik:
Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion. 108-116 - Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao:
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. 117-125 - Wojciech Jamroga, Michal Tomasz Godziszewski, Aniello Murano:
Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments. 126-134 - Martin Jonás, Antonín Kucera, Vojtech Kur, Jan Macák:
Steady-State Strategy Synthesis for Swarms of Autonomous Agents. 135-142 - Damian Kurpiewski, Wojciech Jamroga, Yan Kim:
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models. 143-151 - Thanh Dat Le, Lyuzhou Ye, Yan Huang:
RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation. 152-160 - Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman:
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. 161-169 - Yongheng Liang, Hejun Wu, Haitao Wang, Hao Cai:
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning. 170-178 - David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos:
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies. 179-186 - Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song:
Odyssey : Empowering Minecraft Agents with Open-World Skills. 187-195 - Vahid Mahzoon, Abigail Liu, Slobodan Vucetic:
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework. 196-204 - Yuxiang Mai, Qiyue Yin, Wancheng Ni, Pei Xu, Kaiqi Huang:
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity. 205-213 - Karan Muvvala, Qi Heng Ho, Morteza Lahijanian:
Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games. 214-222 - Dung Nguyen
, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. 223-231 - Lukasz Pelcner, Leandro Soriano Marcolino, Matheus Aparecido do Carmo Alves, Paula A. Harrison, Peter M. Atkinson:
Multi Objective Quantile Based Reinforcement Learning for Modern Urban Planning. 232-239 - Arseni Pertzovskiy, Roni Stern, Roie Zivan, Ariel Felner:
Multi-Agent Corridor Generating Algorithm. 240-247 - Raquel Rodríguez-García, Roberto Centeno, Álvaro Rodrigo:
Simulating Misinformation Diffusion on Social Media Through CoNVaI: A Textual- and Agent-Based Diffusion Model. 248-256 - Saleh Soudijani, Rayna Dimitrova:
Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions. 257-266 - Mingkai Tang, Lu Gan, Kaichen Zhang:
Streaming Multi-agent Pathfinding. 267-274 - Toby Walsh:
Equitable Mechanism Design for Facility Location. 275-283 - Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck:
Quantifying the Self-Interest Level of Markov Social Dilemmas. 284-292 - Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang:
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. 293-301 - Xiongqi Zhang, Ning Lv, Wang Lin, Zuohua Ding:
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates. 302-310 - Yang Zhao, Wenzhe Zhao, Xuelong Li:
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game. 311-319
AI Ethics, Trust, Fairness
- Axel Abels, Tom Lenaerts:
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds. 321-329 - Diptarka Chakraborty, Himika Das, Sanjana Dey, Alvin Yan Hong Yao:
Improved Rank Aggregation Under Fairness Constraint. 330-338 - Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation. 339-347 - Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang:
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity. 348-356 - Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang:
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation. 357-366 - Arya Fayyazi, Yifeng Xiao, Pierluigi Nuzzo, Massoud Pedram:
Efficient Counterexample-Guided Fairness Verification and Repair of Neural Networks Using Satisfiability Modulo Convex Programming. 367-375 - Xiaomeng Fu, Xi Wang, Qiao Li, Jin Liu, Jiao Dai, Jizhong Han, Xingyu Gao:
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models. 376-384 - Ruihan Hu, Yu-Ming Shang, Jiankun Peng, Wei Luo, Yazhe Wang, Xi Zhang:
Automated Detection of Pre-training Text in Black-box LLMs. 385-393 - David Ing, Saïd Jabbour, Lakhdar Saïs:
On Integrating Logical Analysis of Data into Random Forests. 394-402 - Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu:
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. 403-411 - Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen:
Counterfactual Strategies for Markov Decision Processes. 412-420 - Chongshou Li, Pin Tang, Tianrui Li, Yuheng Liu, Xinke Li:
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions. 421-429 - Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Ge Yu:
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency. 430-438 - Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao:
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. 439-447 - Yuehao Liu, Yansong Dong, Liang Zhao, Wensheng Wang, Cong Tian:
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement. 448-456 - Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina:
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. 457-465 - Sai Krishna Mendu, Harish Yenala, Aditi Gulati, Shanu Kumar, Parag Agrawal:
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs. 466-474 - Deng Pan, Nuno Moniz, Nitesh V. Chawla:
Fast Explanations via Policy Gradient-Optimized Explainer. 475-483 - Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh:
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments. 484-492 - Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye:
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. 493-501 - Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong:
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework. 502-510 - Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. 511-519 - Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang:
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. 520-528 - Chunjiang Wang, Kun Zhang, Yandong Liu, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. 529-537 - En Wang, Xingyu Lin, Du Su, Chenfu Bao, Zhonghou Lv, Funing Yang, Yuanbo Xu, Wenbin Liu:
Indirect Online Preference Optimization via Reinforcement Learning. 538-546 - Xiaofei Wang, Mingliang Han, Tianyu Hao, Cegang Li, Yunbo Zhao, Keke Tang:
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective. 547-555 - Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang:
fairGNN-WOD: Fair Graph Learning Without Complete Demographics. 556-564 - Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang:
Towards Fairness with Limited Demographics via Disentangled Learning. 565-573 - Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo:
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network. 574-582 - Lijun Wu, Dong Hao, Zhiyi Fan:
Explainable Graph Neural Networks via Structural Externalities. 583-591 - Xiaoliang Wu, Qilong Feng, Junyu Huang, Jianxin Wang:
Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering. 592-600 - Yiran Xu, Nan Zhong, Guobiao Li, Anda Cheng, Yinggui Wang, Zhenxing Qian, Xinpeng Zhang:
Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models. 601-609 - Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang:
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. 610-618 - Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang:
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models. 619-627 - Cheng Zhang, Yang Xu, Tingqiao Huang, Zixing Zhang:
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective. 628-636 - Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang:
Causality-Inspired Disentanglement for Fair Graph Neural Networks. 637-645 - Pengcheng Zhao, Xiaowei Ding:
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics. 646-654 - Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu:
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. 655-663
Computer Vision
- Niaz Ahmad, Jawad Khan, Kang G. Shin, Youngmoon Lee, Guanghui Wang:
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation. 665-673 - Pei An, Jiaqi Yang, Muyao Peng, You Yang, Qiong Liu, Jie Ma, Liangliang Nan:
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship. 674-683 - Jiesong Bai, Yuhao Yin, Yihang Dong, Xiaofeng Zhang, Chi-Man Pun, Xuhang Chen:
LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstruction. 684-692 - Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li:
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection. 693-701 - Songyue Cai, Yujie Mo, Liang Peng, Yucheng Xie, Tao Tong, Xiaofeng Zhu:
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP. 702-710 - Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen:
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection. 711-719 - Yaqi Cai, Shancheng Fang, Yadong Qu, Xiaorui Wang, Meng Shao, Hongtao Xie:
IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation. 720-728 - Chuangui Cao, Shifei Ding, Lili Guo:
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning. 729-737 - Tianjiao Cao, Jiahao Lyu, Weichao Zeng, Weimin Mu, Yu Zhou:
The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection. 738-746 - Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai:
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. 747-755 - Zhiyong Chang, Yan Wang:
MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation. 756-764 - Binghong Chen, Tingting Chai, Wei Jiang, Yuanrong Xu, Guanglu Zhou, Xiangqian Wu:
Multi-View Learning with Context-Guided Receptance for Image Denoising. 765-773 - Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou:
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. 774-782 - Guo Chen, Yifei Huang, Yin-Dong Zheng, Yicheng Liu, Jiahao Wang, Tong Lu:
Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning. 783-791 - Kerui Chen, Zhiliang Wu, Wenjin Hou, Kun Li, Hehe Fan, Yi Yang:
Prompt-Aware Controllable Shadow Removal. 792-800 - Minghui Chen, Dayan Wu, Chenxu Yang, Qinghang Su, Zheng Lin:
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification. 801-809 - Shi Chen, Lefei Zhang, Liangpei Zhang:
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Image Super-Resolution. 810-818 - Xiangyi Chen, Han Xue, Li Song:
DiffFERV: Diffusion-based Facial Editing of Real Videos. 819-827 - Yanhao Chen, Zhongquan Jian, Nianxin Ke, Shuhao Hu, Junjie Jiao, Qingqi Hong, Qingqiang Wu:
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition. 828-836 - Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang:
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. 837-845 - Longquan Dai, He Wang, Yiming Zhang, Shaomeng Wang, Jinhui Tang:
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models. 846-854 - Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu:
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution. 855-863 - Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua:
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding. 864-872 - Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang:
Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models. 873-881 - Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang:
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. 882-890 - Shifei Ding, Qidong Wang, Lili Guo:
Global Information Compensation Network for Image Denoising. 891-899 - Zeyu Ding, Jiaqi Zhao, Yong Zhou, Wen-Liang Du, Hancheng Zhu, Rui Yao:
GSDet: Gaussian Splatting for Oriented Object Detection. 900-908 - Zhaodong Ding, Chenglong Li, Shengqing Miao, Jin Tang:
Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking. 909-917 - Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Z. Chen, Jian Wu:
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression. 918-926 - Neng Dong, Shuanglin Yan, Liyan Zhang, Jinhui Tang:
Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification. 927-935 - Chenghu Du, Junyin Wang, Kai Liu, Shengwu Xiong, Yi Rong:
Mask Does Not Matter: A Unified Latent Diffusion-Enhanced Framework for Mask-Free Virtual Try-On. 936-944 - Xiangcheng Du, Zhao Zhou, Yanlong Wang, Yingbin Zheng, Xingjiao Wu, Peizhu Gong, Cheng Jin:
Unleashing the Semantic Adaptability of Controlled Diffusion Model for Image Colorization. 945-953 - Shaojun E, Yuchen Yang, Jiaheng Wu, Yan Zhang, Tiejun Zhao, Ziyan Chen:
MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces. 954-962 - Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao:
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. 963-971 - Siyan Fang, Yuntao Wang, Jinpu Zhang, Ziwen Li, Yuehuan Wang:
Adaptive Language-Aware Image Reflection Removal Network. 973-981 - Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo:
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation. 982-989 - Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li:
2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting. 990-998 - Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li:
Active Multimodal Distillation for Few-shot Action Recognition. 999-1007 - Weiwei Feng, Nanqing Xu, Tengfei Liu, Weiqiang Wang:
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement. 1008-1016 - Bulat Gabdullin, Nina Konovalova, Nikolay Patakin, Dmitry Senushkin, Anton Konushin:
DepthART: Monocular Depth Estimation as Autoregressive Refinement Task. 1017-1025 - Wenxuan Ge, Peng Huang, Rui Yan, Hongyu Qu, Guosen Xie, Xiangbo Shu:
Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification. 1026-1034 - Zhihao Gong, Lian Wu, Yong Xu:
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification. 1035-1043 - Hongjie Gu, Jinlong Fan, Liang Zheng, Jing Zhang, Yuxiang Yang:
DDPA-3DVG: Vision-Language Dual-Decoupling and Progressive Alignment for 3D Visual Grounding. 1044-1052 - Weikang Gu, Mingyue Han, Li Xue, Heng Dong, Changcai Yang, Riqing Chen, Lifang Wei:
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration. 1053-1061 - Mingce Guo, Jingxuan He, Yufei Yin, Zhangye Wang, Shengeng Tang, Lechao Cheng:
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing. 1062-1070 - Qixian Hao, Shaozhang Niu, Jiwei Zhang, Kai Wang:
DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization. 1071-1079 - Tianxiang Hao, Hui Chen, Guiguang Ding:
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization. 1080-1088 - Gang He, Kepeng Xu, Li Xu, Wenxin Yu, Xianyun Wu:
Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion. 1089-1097 - Xin He, Longhui Wei, Lingxi Xie, Qi Tian:
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models. 1098-1106 - Jian Hu, Zixu Cheng, Shaogang Gong:
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation. 1107-1115 - Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang:
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. 1116-1124 - Qingguo Hu, Ante Wang, Jia Song, Delai Qiu, Qingsong Liu, Jinsong Su:
Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion. 1125-1133 - Binxiao Huang, Ngai Wong:
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers. 1134-1142 - Binxiao Huang, Zhihao Li, Shiyong Liu, Xiao Tang, Jiajun Tang, Jiaqi Lin, Yuxin Cheng, Zhenyu Chen, Xiaofei Wu, Ngai Wong:
Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction. 1143-1151 - Chao Huang, Qianyi Li, Jie Wen, Bob Zhang:
Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection. 1152-1160 - Chaowei Huang, Yaru Su, Huangbiao Xu, Xiao Ke:
Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusion. 1161-1169 - Feizhen Huang, Yu Wu, Yutian Lin, Bo Du:
Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillation. 1170-1178 - He Huang, Qi Yang, Mufan Liu, Yiling Xu, Zhu Li:
ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction. 1179-1187 - Jinglin Huang, Maoqiang Wu, Peichun Li, Wen Wu, Rong Yu:
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture. 1188-1196 - Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang, Ruipu Tang, Guangliang Cheng, Shaowei Jiang, Zhiwen Zheng, Jin Liu, Renjie Ruan, Xiaoshuai Zhang:
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation. 1197-1205 - Andela Ilic, Jiaxi Jiang, Paul Streli, Xintong Liu, Christian Holz:
Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models. 1206-1214 - Xueyao Ji, Gang Wang, Yizheng Wang:
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme. 1215-1223 - Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang:
SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. 1224-1232 - Ran Jia, Junpeng Xue, Shuai Ma, Wenbo Lu, Kelei Wang:
IE-PMMA: Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment. 1233-1241 - Jianchao Jiang, Haofeng Zhang:
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation. 1242-1250 - Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou:
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather. 1251-1259 - Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun:
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark. 1260-1268 - Xianghao Jiao, Di Wang, Jiawei Liang, Jianjie Huang, Wei Wang, Xiaochun Cao:
Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization. 1269-1277 - Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen:
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. 1278-1286 - Luoxi Jing, Dianxi Shi, Zhe Liu, Songchang Jin, Chunping Qiu, Ziteng Qiao, Yuxian Li, Jianqiang Xia:
UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block. 1287-1295 - Xiao Ke, Weijie Zhou, Yuzhen Niu:
Projection, Interaction and Fusion: A Progressive Difference Fusion Network for Salient Object Detection. 1296-1304 - Min Hyuk Kim, Seok Bong Yoo:
Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation. 1305-1313 - Yutong Kou, Shubo Lin, Liang Li, Bing Li, Weiming Hu, Jin Gao:
SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking. 1314-1322 - Byeonggwon Lee, Junkyu Park, Khang Truong Giang, Soohwan Song:
Online 3D Gaussian Splatting Modeling with Novel View Selection. 1323-1331 - Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang:
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. 1332-1340 - Chuanhao Li, Wenbo Ye, Zhen Li, Yuwei Wu, Yunde Jia:
Multi-Sourced Compositional Generalization in Visual Question Answering. 1341-1349 - Chunming Li, Shidong Wang, Haofeng Zhang:
Few-shot Novel Category Discovery. 1350-1358 - Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha:
Learnable Frequency Decomposition for Image Forgery Detection and Localization. 1359-1367 - Dongdong Li, Zhinan Gao, Yangliu Kuai, Rui Chen:
Exploring Efficient and Effective Sequence Learning for Visual Object Tracking. 1368-1376 - Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han:
Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. 1377-1385 - Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo:
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. 1386-1394 - Minghao Li, Rui Wang, Ming Sun, Lihua Jing:
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning. 1395-1403 - Moqi Li, Xu Yang, Cheng Deng:
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation. 1404-1412 - Ping Li, Jianan Ni, Bo Pang:
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition. 1413-1421 - Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao:
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking. 1422-1430 - Wei Li, Dezhao Luo, Dongbao Yang, Zhenhang Li, Weiping Wang, Yu Zhou:
The Role of Video Generation in Enhancing Data-Limited Action Understanding. 1431-1439 - Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen:
Hypernetwork Aggregation for Decentralized Personalized Federated Learning. 1440-1448 - Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun:
Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation. 1449-1457 - Xinyu Li, Qi Yao, Yuanda Wang:
GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers. 1458-1466 - Xulin Li, Yan Lu, Bin Liu, Jiaze Li, Qinhong Yang, Tao Gong, Qi Chu, Mang Ye, Nenghai Yu:
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification. 1467-1475 - Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu:
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation. 1476-1484 - Yiming Li, Xiaoshan Yang, Bing-Kun Bao, Changsheng Xu:
Graph Prompts: Adapting Video Graph for Video Question Answering. 1485-1493 - Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li:
A Dual Stream Visual Tokenizer for LLM Image Generation. 1494-1502 - Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang:
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution. 1503-1511 - Zixuan Li, Lei Meng, Guoqing Chao, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng:
Semantic-Space-Intervened Diffusive Alignment for Visual Classification. 1512-1520 - Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao:
Physical Adversarial Camouflage Through Gradient Calibration and Regularization. 1521-1529 - Zhechun Liang, Tao Huang, Fangfang Wu, Shiwen Xue, Zhenyu Wang, Weisheng Dong, Xin Li, Guangming Shi:
PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing. 1530-1538 - Shuyuan Lin, Mengtin Lo, Haosheng Chen, Yanjie Liang, Qiangqiang Wu:
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning. 1539-1547 - Yihong Lin, Zhaoxin Fan, Xianjia Wu, Lingyu Xiong, Xiandong Li, Wenxiong Kang, Liang Peng, Songju Lei, Huang Xu:
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer. 1548-1556 - Biao Liu, Xu Liu, Lingling Li, Licheng Jiao, Fang Liu, Xinyu Sun, Youlin Huang:
Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images. 1557-1566 - Jinyuan Liu, Qianjun Huang, Guanyao Wu, Di Wang, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan:
TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion. 1567-1575 - Ke Liu, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang:
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features. 1576-1584 - Ming-Hui Liu, Harry Cheng, Tianyi Wang, Xin Luo, Xin-Shun Xu:
Learning Real Facial Concepts for Independent Deepfake Detection. 1585-1593 - Shuaiyu Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang:
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition. 1594-1602 - Wang Liu, Puhong Duan, Xudong Kang, Shutao Li:
Squeezing Context into Patches: Towards Memory-Efficient Ultra-High Resolution Semantic Segmentation. 1603-1611 - Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian:
Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval. 1612-1620 - Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang:
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos. 1621-1629 - Yi Liu, Changsheng Zhang, Yufei Yang:
Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection. 1630-1638 - Yingge Liu, Dawei Dai, Xiangling Hou, Shilin Zhao, Guoyin Wang:
From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval. 1639-1647 - Yu Liu, Hao Tang, Haiqi Zhang, Jing Qin, Zechao Li:
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection. 1648-1656 - Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu:
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. 1657-1665 - Zihang Liu, Zhenyu Zhang, Hao Tang:
Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. 1666-1674 - Hang Lu, Liang Du, Peng Zhou:
Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation. 1675-1683 - Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan:
EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. 1684-1692 - Feng Luan, Jiarui Hu, Changshi Zhou, Zhipeng Wang, Jiguang Yue, Yanmin Zhou, Bin He:
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification. 1693-1701 - Chunhui Luo, Dong Li, Xiaoliang Ma, Xin Lu, Zhiyuan Wang, Jiangtong Tan, Xueyang Fu:
PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening. 1702-1710 - Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu:
CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors. 1711-1719 - Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng:
Self-calibration Enhanced Whole Slide Pathology Image Analysis. 1720-1728 - Lingkun Luo, Shiqiang Hu, Liming Chen:
Noise Optimized Conditional Diffusion for Domain Adaptation. 1729-1737 - Min Xie, Jieyu Zhao, Kedi Shen, Kangxin Chen:
SE(3)-Equivariant Diffusion Models for 3D Object Analysis. 1738-1746 - Xuesong Nie, Haoyuan Jin, Vijayakumar Bhagavatula, Xiaofeng Liu:
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning. 1747-1755 - Jinjia Peng, Mengkai Li, Huibing Wang:
Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting. 1756-1764 - Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha:
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration. 1766-1774 - Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma:
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR. 1775-1783 - Rui Qin, Qijie Wang, Ming Sun, Haowei Zhu, Chao Zhou, Bin Wang:
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling. 1784-1792 - Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo:
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation. 1793-1801 - Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan:
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance. 1802-1810 - Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu:
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation. 1811-1819 - Haofan Ren, Zunjie Zhu, Xiang Chen, Ming Lu, Rongfeng Lu, Chenggang Yan:
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers. 1820-1828 - Xuanxuan Ren, Xiangyu Li, Kun Wei, Xu Yang, Yanhua Yang:
Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation. 1829-1837 - Youtong Shi, Lixin Chen, Yu Zang, Chenhui Yang, Cheng Wang:
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning. 1838-1846 - Woojin Shin, Donghwa Kang, Daejin Choi, Brent ByungHoon Kang, Jinkyu Lee, Hyeongboo Baek:
BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks. 1847-1855 - Naoya Sogi, Takashi Shibata, Makoto Terao, Masanori Suganuma, Takayuki Okatani:
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval. 1856-1864 - Wooseok Song, Seunggyu Chang, Jaejun Yoo:
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance. 1865-1872 - Guilin Su, Yuqing Huang, Chao Yang, Zhenyu He:
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation. 1873-1881 - Yong Su, Defang Chen, Meng Xing, Changjae Oh, Xuewei Liu, Jieyang Li:
Coming Out of the Dark: Human Pose Estimation in Low-light Conditions. 1882-1890 - Zibo Su, Ziqi Zhang, Kun Wei, Xu Yang, Cheng Deng:
Outstanding Orthodontist: No More Artifactual Teeth in Talking Face. 1891-1899 - Xiaoxi Sun, Jianxin Liang, Yueqian Wang, Huishuai Zhang, Dongyan Zhao:
Understanding Visual Detail Hallucinations of Large Vision-Language Models. 1900-1908 - Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo:
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images. 1909-1917 - Cheng Tan, Qi Chen, Jingxuan Wei, Gaowei Wu, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches. 1918-1926 - Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li, Long Lan, Mengzhu Wang:
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture. 1927-1935 - Dongzhihan Wang, Yang Yang, Xuyang Chen, Liang Xu:
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module. 1936-1944 - Haoyu Wang, Lei Zhang, Wei Wei, Chen Ding, Yanning Zhang:
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation. 1945-1953 - Mengxi Wang, Shaozhang Niu, Jiwei Zhang:
ForgDiffuser: General Image Forgery Localization with Diffusion Models. 1954-1962 - Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin:
Gaussian Mixture Model for Graph Domain Adaptation. 1963-1972 - Song Wang, Zhongdao Wang, Jiawei Yu, Wentong Li, Bailan Feng, Junbo Chen, Jianke Zhu:
Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning. 1973-1981 - Weihang Wang, Jun Wang, Fei Wen:
Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. 1982-1990 - Xiaxin Wang, Haoyu Cai, Xiaobo Shen, Xia Wu:
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation. 1991-1999 - Yongqi Wang, Xinxiao Wu, Shuo Yang:
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection. 2000-2008 - Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li:
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning. 2009-2017 - Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen:
ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization. 2018-2026 - Yuran Wang, Yingping Liang, Ying Fu:
Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World. 2027-2035 - Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang:
Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators. 2036-2044 - Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen:
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis. 2045-2053 - Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li:
Indirect Alignment and Relationship Preservation for Domain Generalization. 2054-2062 - Zhiliang Wu, Kun Li, Hehe Fan, Yi Yang:
Drafting and Revision: Advancing High-Fidelity Video Inpainting. 2063-2071 - Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu:
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning. 2072-2080 - Yuxuan Xie, Tianhua Li, Wenqi Shao, Kaipeng Zhang:
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts. 2081-2088 - Jiazhuang Xiong, Yongshan Zhang, Xinxin Wang, Lefei Zhang:
Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening. 2089-2097 - Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu:
Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration. 2098-2106 - Lijuan Xu, Kai Wang, Fuqiang Yu, Fenghua Tong, Mengran Li, Dawei Zhao:
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images. 2107-2115 - Siyuan Xu, Haofei Song, Yingjiao Deng, Jiansheng Wang, Yan Wang, Qingli Li:
Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision. 2116-2124 - Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang:
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment. 2125-2133 - Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu:
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. 2134-2142 - Rui Yan, Jin Wang, Hongyu Qu, Xiaoyu Du, Dong Zhang, Jinhui Tang, Tieniu Tan:
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification. 2143-2151 - Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang, Jinhui Tang:
Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval. 2152-2160 - Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li:
Frequency-Aware Deep Depth from Focus. 2161-2169 - Weiqi Yan, Lvhai Chen, Shengchuan Zhang, Yan Zhang, Liujuan Cao:
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection. 2170-2178 - Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei:
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. 2179-2187 - Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu:
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing. 2188-2196 - Hongpeng Yang, Xiangyu Hu, Yingxin Chen, Siyu Chen, Srihari Nelakuditi, Yan Tong, Shiqiang Ma, Fei Guo:
Unlocking Dark Vision Potential for Medical Image Segmentation. 2197-2205 - Meng Yang, Fan Fan, Jun Huang, Yong Ma, Xiaoguang Mei, Zhanchuan Cai, Jiayi Ma:
Multimodal Image Matching Based on Cross-Modality Completion Pre-training. 2206-2214 - Xudong Yang, Yizhang Zhu, Hanfeng Liu, Zeyi Wen, Nan Tang, Yuyu Luo:
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition. 2215-2223 - Yueguang Yang, Jiahui Qu, Ling Huang, Wenqian Dong:
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities. 2224-2232 - Yufei Yang, Song Xiao, Lixiang Li, Wenqian Dong, Jiahui Qu:
Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models. 2233-2241 - Yuxiang Yang, Yingqi Deng, Mian Pan, Zheng-Jun Zha, Jing Zhang:
BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View. 2242-2250 - Siyue Yao, Haotian Xu, Mingjie Sun, Siyue Yu, Jimin Xiao, Eng Gee Lim:
DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation. 2251-2259 - Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song:
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting. 2260-2268 - Xi Ye, Lina Wang, Run Wang, Jiatong Liu, Geying Yang:
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version. 2269-2277 - Yufei Yin, Lechao Cheng, Wengang Zhou, Jiajun Deng, Zhou Yu, Houqiang Li:
Self-Classification Enhancement and Correction for Weakly Supervised Object Detection. 2278-2286 - Sisi You, Bowen Yuan, Bing-Kun Bao:
SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding. 2287-2295 - Qianzi Yu, Kai Zhu, Yang Cao, Yu Kang:
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization. 2296-2304 - Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng:
Brain-Inspired Stepwise Patch Merging for Vision Transformers. 2305-2313 - Bowen Yuan, Sisi You, Bing-Kun Bao:
DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding. 2314-2322 - Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou:
Denoising Diffusion Models are Good General Gaze Feature Learners. 2323-2331 - Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia:
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. 2332-2340 - Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding. 2341-2349 - Jinzhi Zhang, Feng Xiong, Guangyu Wang, Mu Xu:
G3PT: Unleash the Power of Autoregressive Modeling in 3D Generation via Cross-Scale Querying Transformer. 2350-2358 - Mingjin Zhang, Longyi Li, Fei Gao, Qiming Zhang, Jie Guo:
Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging. 2359-2367 - Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu:
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. 2368-2376 - Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu:
CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting. 2377-2385 - Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha:
Training-free Fourier Phase Diffusion for Style Transfer. 2386-2394 - Tengyu Zhang, Deyu Zeng, Baoqiang Li, Wei Wang, Wei Liu, Zongze Wu:
HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection. 2395-2403 - Yan Zhang, Lechao Cheng, Yaxiong Wang, Zhun Zhong, Meng Wang:
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach. 2404-2412 - Youjia Zhang, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang:
Optimized View and Geometry Distillation from Multi-view Diffuser. 2413-2421 - Yunpeng Zhang, Deheng Qian, Ding Li, Yifeng Pan, Yong Chen, Zhenbao Liang, Zhiyao Zhang, Yingzong Liu, Jianhui Mei, Maolei Fu, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du:
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving. 2422-2430 - Zhemin Zhang, Xun Gong:
Efficient Visual Representation Learning with Heat Conduction Equation. 2431-2439 - Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh:
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. 2440-2448 - Jingyu Zhao, Jiahui Qu, Wenqian Dong:
Bi-DiffCD: Bidirectional Diffusion Guided Collaborative Change Detection for Arbitrary-Modal Remote Sensing Images. 2449-2457 - Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao:
Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning. 2458-2466 - Zhikang Zhao, Kaitao Chen, Jing Zhao:
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis. 2467-2475 - Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang:
Open-Vocabulary Fine-Grained Hand Action Detection. 2476-2484 - Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei:
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection. 2485-2493 - Fengfan Zhou, Qianyu Zhou, Heifei Ling, Xuequan Lu:
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models. 2494-2502 - Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li:
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. 2503-2511 - Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen:
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. 2512-2520 - Sa Zhu, Dayan Wu, Chenming Wu, Pengwen Dai, Bo Li:
Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing. 2521-2529 - Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Chaowei Fang, Xu Tang, Licheng Jiao:
RegionMatch: Pixel-Region Collaboration for Semi-Supervised Semantic Segmentation in Remote Sensing Images. 2530-2538 - Xinyu Zhu, Xiwen Liu, Lianghua He, Yin Wen:
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation. 2539-2547 - Junhong Zou, Xiangyu Zhu, Zhaoxiang Zhang, Zhen Lei:
Top-Down Guidance for Learning Object-Centric Representations. 2548-2556
Constraint Satisfaction and Optimization
- Florent Avellaneda:
Learning Optimal Oblique Decision Trees with (Max)SAT. 2558-2565 - Junyang Cai, Serdar Kadioglu, Bistra Dilkina:
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems. 2566-2574 - Yu Cong, Chao Xu, Yi Zhou:
Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints. 2575-2582 - Marianne Defresne, Jayanta Mandi, Tias Guns:
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation. 2583-2591 - Shmuel Goldklang, Tal Grinshpoun, Tamir Tassa:
Privacy Preserving Solution of DCOPs by Local Search. 2592-2600 - Rei Higuchi, Takehide Soh, Daniel Le Berre, Morgan Magnin, Mutsunori Banbara, Naoyuki Tamura:
A SAT-based Method for Counting All Singleton Attractors in Boolean Networks. 2601-2609 - Sulian Le Bozec-Chiffoleau, Nicolas Beldiceanu, Charles Prud'homme, Gilles Simonin, Xavier Lorca:
Bimodal Depth-First Search for Scalable GAC for AllDifferent. 2610-2618 - Zhengyu Li, Conor Duggan, Curtis Bright, Vijay Ganesh:
Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3, 8) and R(3, 9) Problems. 2619-2627 - Virasone Manibod, David Saikali, Gilles Pesant:
Constrained Sequential Inference in Machine Learning Using Constraint Programming. 2628-2636 - João Marques-Silva, Jairo A. Lefebre-Lobaina, Maria Vanina Martinez:
Efficient and Rigorous Model-Agnostic Explanations. 2637-2646 - Shiwei Pan, Yiyuan Wang, Shaowei Cai:
An Efficient Core-Guided Solver for Weighted Partial MaxSAT. 2647-2656 - Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li:
Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning. 2657-2665 - Junqiang Peng, Zimo Sheng, Mingyu Xiao:
New Algorithms for #2-SAT and #3-SAT. 2666-2674 - Siddharth Prasad, Ellen Vitercik, Maria-Florina Balcan, Tuomas Sandholm:
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets. 2675-2683 - Jeroen Spaans, Jesse Heyninck:
A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation. 2684-2692
Data Mining
- Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan:
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. 2694-2702 - Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. 2703-2712 - Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao:
GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation. 2713-2721 - Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu:
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding. 2722-2730 - Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang:
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. 2731-2739 - Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu:
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams. 2740-2748 - Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang:
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. 2749-2757 - Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang:
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. 2758-2766 - Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu:
Adaptive Graph Unlearning. 2767-2774 - Rui Dong, Jiaxing Li, Weihuang Zheng, Youyong Kong:
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation. 2775-2783 - Xiaocong Du, Haoyu Pei, Haipeng Zhang:
Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry. 2784-2792 - Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang:
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks. 2793-2801 - ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song:
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training. 2802-2810 - Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang:
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding. 2811-2819 - Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu:
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming. 2820-2828 - Jiawei Gu, Ziyue Qiao, Xiao Luo:
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration. 2829-2837 - Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang:
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better. 2838-2846 - Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang, Zhiyong Feng:
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection. 2847-2855 - Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang:
Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU. 2856-2864 - Xinyan Hao, Huaiyu Wan, Shengnan Guo, Youfang Lin:
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning. 2865-2873 - Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai:
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. 2874-2882 - Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu:
HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. 2883-2891 - Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu:
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking. 2892-2900 - Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu:
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation. 2901-2909 - Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang:
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs. 2910-2918 - Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li:
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization. 2919-2927 - Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang:
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process. 2928-2936 - Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang:
Soft Reasoning Paths for Knowledge Graph Completion. 2937-2945 - Lei Hu, Zhiyong Gan, Ling Deng, Jinglin Liang, Lingyu Liang, Shuangping Huang, Tianshui Chen:
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection. 2946-2954 - Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang:
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. 2955-2963 - Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li:
OS-GCL: A One-Shot Learner in Graph Contrastive Learning. 2964-2972 - Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao:
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation. 2973-2981 - Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi:
HGMP: Heterogeneous Graph Multi-Task Prompt Learning. 2982-2990 - Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, Huaming Wu:
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity. 2991-2999 - Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He:
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection. 3000-3008 - Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang:
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. 3009-3017 - Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng:
Prototype-based Optimal Transport for Out-of-Distribution Detection. 3018-3026 - Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou:
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. 3027-3035 - Jiafan Li, Jiaqi Zhu, Liang Chang, Yilin Li, Miaomiao Li, Yang Wang, Yi Yang, Hongan Wang:
Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks. 3036-3044 - Ke Li, Leong Hou U, Shuo Shang:
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation. 3045-3053 - Mengyao Li, Xu Zhou, Jiapeng Zhang, Zhibang Yang, Cen Chen, Kenli Li:
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs. 3054-3062 - Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin:
Decision-Aware Preference Modeling for Multi-Behavior Recommendation. 3063-3071 - Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang:
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. 3072-3080 - Xixi Li, Zhuo Gu, Rui Yao, Yong Zhou, Hancheng Zhu, Jiaqi Zhao, Wenliang Du:
Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling. 3081-3089 - Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Changdong Wang, Hui-Yu Zhou:
Preference Identification by Interaction Overlap for Bundle Recommendation. 3090-3098 - Chang Liu, Hai Huang, Xingquan Zuo:
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective. 3099-3107 - Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li:
Flow Matching Based Sequential Recommender Model. 3108-3116 - Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin:
Heterogeneous Temporal Hypergraph Neural Network. 3117-3125 - Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan:
Sharpness-aware Zeroth-order Optimization for Graph Transformers. 3126-3134 - Yezi Liu, Jiaxuan Xie, Yanning Shen:
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation. 3135-3143 - Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou:
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation. 3144-3152 - Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou:
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation. 3153-3161 - Dongyuan Ma, Dongxiao He, Xin Huang:
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs. 3162-3170 - Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang:
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting. 3171-3179 - Lijia Ma, Haoyang Fu, Zhijie Cao, Xiongnan Jin, Qiuzhen Lin, Jianqiang Li:
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks. 3180-3188 - Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong:
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling. 3189-3197 - Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv:
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment. 3198-3207 - Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan:
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation. 3208-3216 - Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou:
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. 3217-3225 - Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang:
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. 3226-3234 - Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. 3235-3244 - Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock:
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. 3245-3253 - Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin Hancock:
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification. 3254-3262 - Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li:
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. 3263-3271 - Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang:
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning. 3272-3280 - Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu:
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. 3281-3289 - Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi:
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series. 3290-3298 - Jiangfeng Sun, Kaiwen Xue, Qika Lin, Yufei Qiao, Yifan Zhu, Zhonghong Ou, Meina Song:
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding. 3299-3307 - Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip S. Yu:
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation. 3308-3316 - Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu:
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios. 3317-3325 - Meng Wan, Rongqiang Cao, Yanghao Li, Jue Wang, Zijian Wang, Qi Su, Lei Qiu, Peng Shi, Yangang Wang, Chong Li:
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines. 3326-3334 - Bin Wang, Yongqi Han, Minbo Ma, Tianrui Li, Junbo Zhang, Feng Hong, Yanwei Yu:
Non-collective Calibrating Strategy for Time Series Forecasting. 3335-3343 - Chengxin Wang, Gary Tan, Swagato Barman Roy, Beng Chin Ooi:
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data. 3344-3352 - Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu:
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting. 3353-3361 - Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu:
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming. 3362-3370 - Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu:
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. 3371-3379 - Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li:
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking. 3380-3388 - Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang:
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting. 3389-3397 - Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang:
Higher-order Logical Knowledge Representation Learning. 3398-3406 - Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin:
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients. 3407-3416 - Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin:
Attribute Association Driven Multi-Task Learning for Session-based Recommendation. 3417-3425 - Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan:
Explainable Graph Representation Learning via Graph Pattern Analysis. 3426-3434 - Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu:
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. 3435-3443 - Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li:
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes. 3444-3452 - Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang:
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. 3453-3461 - Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang:
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. 3462-3470 - Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, Xiangjie Kong:
Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling. 3471-3479 - Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao:
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection. 3480-3488 - Shuyin Xia, Guan Wang, Gaojie Xu, Sen Zhao, Guoyin Wang:
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing. 3489-3497 - Hangtong Xu, Yuanbo Xu, Huayuan Liu, En Wang:
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation. 3498-3506 - Yuanbo Xu, Hongxu Shen, Yiheng Jiang, En Wang:
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation. 3507-3515 - Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu:
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting. 3516-3524 - Kuo Yang, Yunhe Guo, Qihe Huang, Zhengyang Zhou, Yang Wang:
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning. 3525-3533 - Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang:
Universal Graph Self-Contrastive Learning. 3534-3542 - Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong:
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. 3543-3551 - Yang Yang, Xixian Wu, Qing-Yuan Jiang:
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach. 3552-3560 - Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang:
Coupling Category Alignment for Graph Domain Adaptation. 3561-3569 - Shu Yin, Dongpeng Hou, Lianwei Wu, Xianghua Li, Chao Gao:
A Prior-based Discrete Diffusion Model for Social Graph Generation. 3570-3578 - Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng:
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks. 3579-3587 - Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang:
A Centrality-based Graph Learning Framework. 3588-3596 - Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong:
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction. 3597-3605 - Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi:
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. 3606-3614 - Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu:
Device-Cloud Collaborative Correction for On-Device Recommendation. 3615-3623 - Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. 3624-3632 - Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li:
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting. 3633-3641 - Xiong Zhang, Hong Peng, Zhenli He, Cheng Xie, Xin Jin, Hua Jiang:
GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection. 3642-3650 - Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai:
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection. 3651-3659 - Yudong Zhang, Zhaoyang Sun, Xu Wang, Xuan Yu, Kai Wang, Yang Wang:
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework. 3660-3669 - Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock:
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. 3670-3679 - Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng:
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs. 3680-3688 - Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng:
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation. 3689-3697 - Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan:
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories. 3698-3706 - Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang:
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering. 3707-3715 - Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu:
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs. 3716-3724
Game Theory and Economic Paradigms
- Seyedehkimia Alaviyar, Faraz Zargari, John Tyler, Yunwei Ryan Li, Xiaoqi Tan:
Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation. 3726-3734 - Haris Aziz, Hau Chan, Patrick Lederer, Shivika Narang, Toby Walsh:
Distance Preservation Games. 3735-3743 - Togzhan Barakbayeva, Zhuo Cai, Amir Kafshdar Goharshady, Karaneh Keypoor:
Smart Contracts for Trustless Sampling of Correlated Equilibria. 3744-3752 - Matthias Bentert, Robert Bredereck, Eva Michelle Deltl, Pallavi Jain, Leon Kellerhals:
How to Resolve Envy by Adding Goods. 3753-3761 - Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué:
Constrained Serial Dictatorships Can Be Fair. 3762-3770 - Martin Bullinger, Matan Gilboa:
Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games. 3771-3779 - Jiehua Chen, Martin Durand, Christian Hatschka:
Multi-Organizational Scheduling: Individual Rationality, Optimality, and Complexity. 3780-3787 - George Christodoulou, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa:
Maximin Share Guarantees for Few Agents with Subadditive Valuations. 3788-3795 - Saar Cohen, Noa Agmon:
Decentralized Online Learning by Selfish Agents in Coalition Formation. 3796-3804 - Lvye Cui, Haoran Yu, Pierre Pinson, Dario Paccagnan:
Inverse Game Theory: An Incenter-Based Approach. 3805-3813 - Edith Elkind, Tzeh Yuan Neoh, Nicholas Teh:
Not in My Backyard! Temporal Voting Over Public Chores. 3814-3820 - Piotr Faliszewski, Lukasz Janeczko, Dusan Knop, Jan Pokorný, Simon Schierreich, Mateusz Sluszniak, Krzysztof Sornat:
Participatory Budgeting Project Strength via Candidate Control. 3821-3829 - Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu:
EFX Feasible Scheduling for Time-dependent Resources. 3830-3838 - Michail Fasoulakis, Evangelos Markakis, Georgios Roussakis, Christodoulos Santorinaios:
Α Descent-based Method on the Duality Gap for Solving Zero-sum Games. 3839-3847 - Diodato Ferraioli, Giovanna Varricchio:
Non-Obvious Manipulability in Additively Separable and Fractional Hedonic Games. 3848-3856 - Aris Filos-Ratsikas, Vasilis Gkatzelis, Mohamad Latifian, Emma Rewinski, Alexandros A. Voudouris:
Optimal Metric Distortion for Matching on the Line. 3857-3865 - Henry L. Fleischmann, Kiriaki Fragkia, Ratip Emin Berker:
Beyond Symmetry in Repeated Games with Restarts. 3866-3873 - Sotiris Georganas, Aggelos Kiayias, Paolo Penna:
Airdrop Games. 3874-3882 - Yuhang Guo, Dong Hao, Bin Li, Mingyu Xiao, Bakh Khoussainov:
Strategyproofness and Monotone Allocation of Auction in Social Networks. 3883-3890 - Sushmita Gupta, Pallavi Jain, Souvik Saha, Saket Saurabh, Anannya Upasana:
More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules. 3891-3899 - Daniel Halpern, Ariel D. Procaccia, Warut Suksompong:
The Proportional Veto Principle for Approval Ballots. 3900-3907 - Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda:
Dividing Conflicting Items Fairly. 3908-3915 - Pallavi Jain, Andrzej Kaczmarczyk:
Efficient Algorithms for Electing Successive Committees. 3916-3924 - Julien Lesca:
Online Housing Market. 3925-3933 - Lijun Li, Chenyang Xu, Liuyi Yang, Ruilong Zhang:
Fair Submodular Maximization over a Knapsack Constraint. 3934-3942 - Shi Li, Chenyang Xu, Ruilong Zhang:
Logarithmic Approximations for Fair k-Set Selection. 3943-3951 - Zehan Lin, Xiaowei Wu, Shengwei Zhou:
Approximately EFX and fPO Allocations for Bivalued Chores. 3952-3960 - Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang:
Stackelberg vs. Nash in the Lottery Colonel Blotto Game. 3961-3969 - Abhiram Manohara, Ahad N. Zehmakan:
Viral Marketing and Convergence Properties in Generalised Voter Model. 3970-3978 - Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama:
Asymptotic Analysis of Weighted Fair Division. 3979-3987 - Pasin Manurangsi, Warut Suksompong:
Asymptotic Fair Division: Chores Are Easier Than Goods. 3988-3995 - Carlos Martin, Tuomas Sandholm:
Joint-Perturbation Simultaneous Pseudo-Gradient. 3996-4004 - Lata Narayanan, Jaroslav Opatrny, Shanmukha Tummala, Alexandros A. Voudouris:
Variety-Seeking Jump Games on Graphs. 4005-4013 - Dominik Peters:
The Core of Approval-Based Committee Elections with Few Seats. 4014-4022 - Keshav Ranjan, Meghana Nasre, Prajakta Nimbhorkar:
Optimal Capacity Modification for Stable Matchings with Ties. 4023-4031 - Krzysztof Rogowski, Marcin Dziubinski:
Improved Approximation Ratio for Strategyproof Facility Location on a Cycle. 4032-4039 - Ulrike Schmidt-Kraepelin, Warut Suksompong, Markus Utke:
Discrete Budget Aggregation: Truthfulness and Proportionality. 4040-4047 - Hadas Shachnai, Rotem Shavitt, Andreas Wiese:
Finding Possible Winners in Spatial Voting with Incomplete Information. 4048-4056 - Parnian Shahkar, Jugal Garg:
Improved MMS Approximations for Few Agent Types. 4057-4064 - Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo:
Probabilistic Analysis of Stable Matching in Large Markets with Siblings. 4065-4072 - Xiaowei Wu, Quan Xue, Shengwei Zhou:
A Little Subsidy Ensures MMS Allocation for Three Agents. 4073-4081 - Xiaowei Wu, Quan Xue, Shengwei Zhou:
Revisiting Proportional Allocation with Subsidy: Simplification and Improvements. 4082-4090 - Xu Zhao, Ren Liu, Weiran Shen:
Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals. 4091-4099
Humans and AI
- Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Katharina von der Wense, Alessandro Roncone:
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions. 4101-4109 - Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li:
Binary Event-Driven Spiking Transformer. 4110-4118 - Wei Chen, Yafei Li, Baolong Mei, Guanglei Zhu, Jiaqi Wu, Mingliang Xu:
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing. 4119-4127 - Alex Cuellar, Ho Chit Siu, Julie A. Shah:
Inference of Human-derived Specifications of Object Placement via Demonstration. 4128-4136 - Cunhang Fan, Xiaoke Yang, Hongyu Zhang, Ying Chen, Lu Li, Jian Zhou, Zhao Lv:
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection. 4137-4145 - Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang:
Stochasticity-aware No-Reference Point Cloud Quality Assessment. 4146-4154 - Koki Iwai, Yusuke Kumagae, Yuki Koyama, Masahiro Hamasaki, Masataka Goto:
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design. 4155-4163 - Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan:
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. 4164-4172 - Lu Li, Cunhang Fan, Hongyu Zhang, Jingjing Zhang, Xiaoke Yang, Jian Zhou, Zhao Lv:
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection. 4173-4181 - Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng:
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. 4182-4190 - Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan:
Community-Aware Graph Transformer for Brain Disorder Identification. 4191-4199 - Kai Sun, Peibo Duan, Levin Kuhlmann, Beilun Wang, Bin Zhang:
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks. 4200-4208 - Huabin Wang, Jie Ruan, Cunhang Fan, Yingfan Cheng, Zhao Lv:
ID-RemovalNet: Identity Removal Network for EEG Privacy Protection with Enhancing Decoding Tasks. 4209-4217 - Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. 4218-4226 - Qingshun Wu, Yafei Li, Lulu Li, Yuanyuan Jin, Shuo He, Mingliang Xu:
HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models. 4227-4235 - Shuang Wu, Heng Liang, Yong Zhang, Yanlin Chen, Ziyu Jia:
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition. 4236-4244 - Wuyuan Xie, Tingcheng Bian, Miaohui Wang:
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment. 4245-4253 - Haiwei Xue, Zhensong Zhang, Minglei Li, Zonghong Dai, Fei Yu, Fei Ma, Zhiyong Wu:
VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-betweening. 4254-4262 - Hang Yang, Zhiwu Li, Witold Pedrycz:
Adaptive Deep Learning from Crowds. 4263-4272 - Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao:
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition. 4273-4281 - Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo:
ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions. 4282-4290
Knowledge Representation and Reasoning
- Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai:
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting. 4292-4300 - Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini, Dmitry Rozplokhas:
A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals. 4301-4310 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Featured Argumentation Framework: Semantics and Complexity. 4311-4320 - Gianvincenzo Alfano, Adam Gould, Francesco Leofante, Antonio Rago, Francesca Toni:
Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation. 4321-4329 - Mario Alviano, Lorenzo Grillo, Fabrizio Lo Scudo, Luis Angel Rodriguez Reiners:
Integrating Answer Set Programming and Large Language Models for Enhanced Structured Representation of Complex Knowledge in Natural Language. 4330-4338 - Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake:
EnergyCompress: A General Case Base Learning Strategy. 4339-4346 - Gaia Belardinelli, Thomas Bolander, Sebastian Watzl:
A Logic of General Attention Using Edge-Conditioned Event Models. 4347-4355 - Davide Benedetto, Marco Calautti, Hebatalla Hammad, Emanuel Sallinger, Adriano Vlad-Starrabba:
A Datalog Rewriting Algorithm for Warded Ontologies. 4356-4364 - Lars Bengel, Matthias Thimm:
Initial Models and Serialisability in Abstract Dialectical Frameworks. 4365-4373 - Meghyn Bienvenu, Camille Bourgaux, Atefe Khodadaditaghanaki:
Inconsistency Handling in DatalogMTL. 4374-4381 - Lydia Blümel, Anna Rapberger, Matthias Thimm, Francesca Toni:
On Independence and SCC-Recursiveness in Assumption-Based Argumentation. 4382-4390 - Cornelius Brand, Robert Ganian, Fionn Mc Inerney, Simon Wietheger:
A Structural Complexity Analysis of Hierarchical Task Network Planning. 4391-4400 - Simone Caruso, Carmine Dodaro, Marco Maratea, Alice Tarzariol:
A General Framework for Representing Controlled Natural Language Sentences and Translation to KR Formalisms. 4401-4409 - Davide Catta, Rustam Galimullin, Aniello Murano:
First-Order Coalition Logic. 4410-4418 - Jake Chandler, Richard Booth:
Parallel Belief Revision via Order Aggregation. 4419-4426 - Jake Chandler, Richard Booth:
Parallel Belief Contraction via Order Aggregation. 4427-4435 - Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo:
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies. 4436-4444 - Victor David, Anthony Hunter:
A Logic-based Framework for Decoding Enthymemes in Argument Maps Involving Implicitness in Premises and Claims. 4445-4453 - Vincent Derkinderen, Jean-Marie Lagniez:
Circuit-Aware d-DNNF Compilation. 4454-4462 - Thomas Eiter, Tobias Geibinger:
A Sequent Calculus for Answer Set Entailment. 4463-4472 - Thomas Eiter, Davide Soldà:
On Temporal ASP with Eager Unfoldable Operators. 4473-4481 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results. 4482-4490 - Johannes Klaus Fichte, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, Jonathan Persson:
Facets in Argumentation: A Formal Approach to Argument Significance. 4491-4499 - Valeria Fionda, Antonio Ielo, Francesco Ricca:
Are Large Language Models Fluent in Declarative Process Mining? 4500-4508 - Stefan Gebhart, Lutz Schröder, Paul Wild:
Non-expansive Fuzzy ALC. 4509-4517 - Anne-Marie George, Ana Ozaki:
On Middle Grounds for Preference Statements. 4518-4525 - Céline Hocquette, Andrew Cropper:
Relational Decomposition for Program Synthesis. 4526-4534 - John Wesley Hostetter, Adittya Soukarjya Saha, Md. Mirajul Islam, Tiffany Barnes, Min Chi:
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments. 4535-4543 - Pascal Kettmann, Jesse Heyninck, Hannes Strass:
Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics. 4544-4552 - Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv:
Reasoning About Causal Knowledge in Nondeterministic Domains. 4553-4561 - Victor Lagerkvist, Mohamed Maizia, Johannes Schmidt:
A Fine-Grained Complexity View on Propositional Abduction - Algorithms and Lower Bounds. 4562-4569 - Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang:
Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning. 4570-4578 - Yating Liu, Xin Zheng, Yi Li, Yanqing Guo:
Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation. 4579-4587 - Hua Meng, Zhiguo Long, Michael Sioutis, Zhengchun Zhou:
On Definite Iterated Belief Revision with Belief Algebras. 4588-4596 - Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu:
FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing. 4597-4605 - Pavel Naumov, Jia Tao:
Responsibility Gap in Collective Decision Making. 4606-4614 - Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan:
Combining MORL with Restraining Bolts to Learn Normative Behaviour. 4615-4623 - Susana Nunes, Samy Badreddine, Catia Pesquita:
Rewarding Explainability in Drug Repurposing with Knowledge Graphs. 4624-4632 - Mohammad Raza, Natasa Milic-Frayling:
Instantiation-based Formalization of Logical Reasoning Tasks Using Language Models and Logical Solvers. 4633-4641 - Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska:
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems. 4642-4650 - Yakoub Salhi:
A Game-Theoretic Perspective on Inconsistency Handling. 4651-4659 - Marco Sälzer, François Schwarzentruber, Nicolas Troquard:
Verifying Quantized Graph Neural Networks is PSPACE-complete. 4660-4668 - Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis:
Iterated Belief Change as Learning. 4669-4677 - Lars-Phillip Spiegel, Jonas Haldimann, Jesse Heyninck, Gabriele Kern-Isberner, Christoph Beierle:
Generalized Safe Conditional Syntax Splitting of Belief Bases. 4678-4686 - Christian Straßer, Badran Raddaoui, Saïd Jabbour:
Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques. 4687-4695 - Yisong Wang, Xianglong Wang, Zhongtao Xie, Thomas Eiter:
Witnesses for Answer Sets of Basic Logic Programs. 4696-4705 - Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou:
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. 4706-4714 - Guohui Xiao, Lin Ren, Guilin Qi, Haohan Xue, Marco Di Panfilo, Davide Lanti:
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction. 4715-4723 - Liao Zhang, Fabian Mitterwallner, Jan Jakubuv, Cezary Kaliszyk:
Automated Strategy Invention for Confluence of Term Rewrite Systems. 4724-4732 - Xiaokai Zhang, Yang Li, Na Zhu, Cheng Qin, Zhenbing Zeng, Tuo Leng:
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network. 4733-4741
Machine Learning
- Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou:
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning. 4743-4751 - Nasim Baharisangari, Yucheng Ruan, Chengcheng Zhao, Zhe Xu:
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective. 4752-4760 - Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge:
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning. 4761-4769 - Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das:
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator. 4770-4778 - Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao:
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism. 4779-4787 - Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo:
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. 4788-4796 - Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen:
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis. 4797-4805 - Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori, Giuseppe Marra, Michelangelo Diligenti:
Grounding Methods for Neural-Symbolic AI. 4806-4814 - Haiyang Chen, Xiaolong Xu, Xiang Zhu, Xiaokang Zhou, Fei Dai, Yansong Gao, Xiao Chen, Shuo Wang, Hongsheng Hu:
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning. 4815-4823 - Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu:
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction. 4824-4832 - Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. 4833-4841 - Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Disconfounding Fake News Video Explanation with Causal Inference. 4842-4850 - Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu:
Pixel-wise Divide and Conquer for Federated Vessel Segmentation. 4851-4859 - Weihang Chen, Cheng Yang, Jie Ren, Zhiqiang Li, Zheng Wang:
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning. 4860-4868 - Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun:
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. 4869-4877 - Xinda Chen, Zhen Xing, Zixian Zhang, Weimin Tan, Bo Yan:
Multimodal Inference with Incremental Tabular Attributes. 4878-4886 - Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu:
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. 4887-4895 - Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan, Xiaozhao Fang:
Pseudo-Label Reconstruction for Partial Multi-Label Learning. 4896-4904 - Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang:
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models. 4905-4913 - Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang:
Multi-Objective Neural Bandits with Random Scalarization. 4914-4922 - Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu:
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. 4923-4931 - Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen:
Automated Superscalar Processor Design by Learning Data Dependencies. 4932-4939 - Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo:
Fully Test-Time Adaptation for Feature Decrement in Tabular Data. 4940-4948 - Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li:
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. 4949-4957 - Jean Seong Bjorn Choe, Jong-Kook Kim:
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation. 4958-4966 - Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev, Andrew I. Cooper:
Language-Based Bayesian Optimization Research Assistant (BORA). 4967-4975 - Jacques Cloete, Nikolaus Vertovec, Alessandro Abate:
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL. 4976-4984 - Martin C. Cooper, Imane Bousdira, Clément Carbonnel:
Interpretable DNFs. 4985-4993 - Andrei Cozma, Landon Harris, Hairong Qi:
KIPPO: Koopman-Inspired Proximal Policy Optimization. 4994-5002 - Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang:
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing. 5003-5011 - Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen:
Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits. 5012-5020 - Binbin Ding, Penghui Yang, Sheng-Jun Huang:
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks. 5021-5029 - Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang:
Block Circulant Adapter for Large Language Models. 5030-5038 - Shuyang Dong, Shangtong Zhang, Lu Feng:
Counterfactual Explanations for Continuous Action Reinforcement Learning. 5039-5046 - Yihang Du, Jiaying Hu, Suyang Hou, Yueyang Ding, Xiaobo Sun:
A Methodological Framework for Measuring Spatial Labeling Similarity. 5047-5055 - Amin Falah, Shibashis Guha, Ashutosh Trivedi:
Continuous-Time Reward Machines. 5056-5064 - Jingqi Fan, Zilong Wang, Shuai Li, Linghe Kong:
Multi-player Multi-armed Bandits with Delayed Feedback. 5065-5073 - Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou:
One-step Label Shift Adaptation via Robust Weight Estimation. 5074-5082 - Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang:
Not All Layers of LLMs Are Necessary During Inference. 5083-5091 - Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang:
Open-World Semi-Supervised Learning with Class Semantic Correlations. 5092-5100 - Chaowei Fang, Hangfei Ma, Zhihao Li, De Cheng, Yue Zhang, Guanbin Li:
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels. 5101-5109 - Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang:
HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. 5110-5117 - Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong:
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. 5118-5126 - Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong:
Tensorial Multi-view Clustering with Deep Anchor Graph Projection. 5127-5135 - Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier:
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport. 5136-5144 - Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen:
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. 5145-5153 - Ji Gan, Yupeng Zhou, Yanming Zhang, Jiaxu Leng, Xinbo Gao:
Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning. 5154-5162 - Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu:
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method. 5163-5171 - Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu:
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. 5172-5180 - Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu:
Two-Stage Feature Generation with Transformer and Reinforcement Learning. 5181-5189 - Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu:
Dual-Agent Reinforcement Learning for Automated Feature Generation. 5190-5198 - Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv:
Decoupled Imbalanced Label Distribution Learning. 5199-5207 - Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan:
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. 5208-5216 - Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen:
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. 5217-5225 - Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu:
WDMIR: Wavelet-Driven Multimodal Intent Recognition. 5226-5234 - Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang:
Flexible Generalized Low-Rank Regularizer for Tensor RPCA. 5235-5243 - Jiawei Gu, Ziyue Qiao, Zechao Li:
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps. 5244-5252 - Zeli Guan, Yawen Li, Junping Du, Runqing Tang, Xiaolong Meng:
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network. 5253-5261 - Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang:
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior. 5262-5270 - Pengcheng Guo, Yonghong Song, Boyu Wang:
Towards Debiased Generalized Category Discovery. 5271-5279 - Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang:
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning. 5280-5288 - Yifan Guo, Alyssa Yu:
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach. 5289-5297 - Zengxia Guo, Bohui An, Zhongqi Lu:
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning. 5298-5306 - Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng:
Human-Imperceptible, Machine-Recognizable Images. 5307-5317 - Somnath Hazra, Pallab Dasgupta, Soumyajit Dey:
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning. 5318-5326 - Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao:
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method. 5327-5335 - Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu:
Graph Embedded Contrastive Learning for Multi-View Clustering. 5336-5344 - Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang:
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. 5345-5353 - Yasunari Hikima, Naoyuki Kamiyama:
An Inverse Optimization Approach to Contextual Inverse Optimization. 5354-5362 - Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma:
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. 5363-5371 - Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen:
A Correlation Manifold Self-Attention Network for EEG Decoding. 5372-5380 - Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma:
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control. 5381-5389 - Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng:
Probabilistic Multimodal Learning with von Mises-Fisher Distributions. 5390-5398 - Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu:
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. 5399-5407 - Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen:
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. 5408-5416 - Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv:
DONIS: Importance Sampling for Training Physics-Informed DeepONet. 5417-5425 - Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang:
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network. 5426-5434 - Xin Huang, Ruibin Li, Tong Jia, Wei Zheng, Ya Wang:
Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models. 5435-5443 - Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao:
Differentiable Prompt Learning for Vision Language Models. 5444-5452 - Pascal Iversen, Simon Witzke, Katharina Baum, Bernhard Y. Renard:
Identifying Drivers of Predictive Aleatoric Uncertainty. 5453-5462 - Yacine Izza, Alexey Ignatiev, Sasha Rubin, João Marques-Silva, Peter J. Stuckey:
Most General Explanations of Tree Ensembles. 5463-5471 - Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao:
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance. 5472-5479 - Jingang Jiang, Yanzhao Chen, Xiangyang Liu, Haiqi Jiang, Chenyou Fan:
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts. 5480-5488 - Qing-Yuan Jiang, Zhouyang Chi, Yang Yang:
Interactive Multimodal Learning via Flat Gradient Modification. 5489-5497 - Kaili Jin, Li Xu, Xiaoding Wang, Sun-Yuan Hsieh, Jie Wu, Limei Lin:
FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation. 5498-5507 - Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng:
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform. 5508-5516 - Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao:
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization. 5517-5526 - Hongchang Ke, Yan Ding, Lin Pan, Yang Chen, Jia Zhao:
Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks. 5527-5535 - Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin:
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. 5536-5544 - Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng:
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning. 5545-5553 - Zhao-Rong Lai, Haisheng Yang:
Linear Trading Position with Sparse Spectrum. 5554-5562 - Minhyuk Lee, Hyekyung Yoon, Myungjoo Kang:
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting. 5563-5570 - Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang:
Distilling A Universal Expert from Clustered Federated Learning. 5571-5579 - Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye:
CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. 5580-5588 - Chengyi Li, Zhiyuan Jiang, Yongjun Wang, Tian Xia, Yayuan Zhang, Yuhang Mao:
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation. 5589-5597