IJCAI 2025
1280 papers
A Centrality-Based Graph Learning Framework
Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-Enabled Robotics
Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo A Correlation Manifold Self-Attention Network for EEG Decoding
Chen Hu, Rui Wang, Xiaoning Song, Tao Zhou, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen A Datalog Rewriting Algorithm for Warded Ontologies
Davide Benedetto, Marco Calautti, Hebatalla Hammad, Emanuel Sallinger, Adriano Vlad-Starrabba A Dual Stream Visual Tokenizer for LLM Image Generation
Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li A Finite-State Controller Based Offline Solver for Deterministic POMDPs
Alex Schutz, Yang You, Matías Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes A SAT-Based Method for Counting All Singleton Attractors in Boolean Networks
Rei Higuchi, Takehide Soh, Daniel Le Berre, Morgan Magnin, Mutsunori Banbara, Naoyuki Tamura A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)
Alejandra López de Aberasturi-Gómez, Jordi Sabater-Mir, Carles Sierra A Simple yet Effective Hypergraph Clustering Network
Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang A Survey on Model Repair in AI Planning
Pascal Bercher, Sarath Sreedharan, Mauro Vallati A Survey on the Feedback Mechanism of LLM-Based AI Agents
Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning
Geng Chen, Xufeng Jian, Yuchen Chen, Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Jing Wang, Jianxin Liao Active Multimodal Distillation for Few-Shot Action Recognition
Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li Adaptive Deep Learning from Crowds
Hang Yang, Zhiwu Li, Witold Pedrycz Adaptive Graph Unlearning
Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu Adaptive Language-Aware Image Reflection Removal Network
Siyan Fang, Yuntao Wang, Jinpu Zhang, Ziwen Li, Yuehuan Wang AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems
Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets AI-Assisted Human-Pet Artistic Musical Co-Creation for Wellness Therapy
Zihao Wang, Le Ma, Yuhang Jin, Yongsheng Feng, Xin Pan, Shulei Ji, Kejun Zhang AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settings
Min Hun Lee, Sean Shao Wei Lam, Shaun Xin Hong Liew, Michael Dorosan, Nicholas Graves, Jonas Karlström, Hiang Khoon Tan, Walter Tsong Lee Airdrop Games
Sotiris Georganas, Aggelos Kiayias, Paolo Penna AKBR: Learning Adaptive Kernel-Based Representations for Graph Classification
Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock Algorithmic Composition Using Narrative Structure and Tension
Francisco Braga, Gilberto Bernardes, Roger B. Dannenberg, Nuno Correia Aligning Contrastive Multiple Clusterings with User Interests
Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu An Approach to Quantify Plans Robustness in Real-World Applications
Francesco Percassi, Sandra Castellanos-Paez, Romain Rombourg, Mauro Vallati An Association-Based Fusion Method for Speech Enhancement
Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang An Empirical Study of Federated Prompt Learning for Vision Language Model
Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye An Interactive Game-Based Multi-Agent AI System for Children's Social and Emotional Development
Shreya Banerjee, Soheil Saneei, Lisa Pham, Elliott Alexander Beaton, Henry Fordjour Ansah, Ben Samuel, Jenny Spicer, Huda Hammad, Amanda Stage An Out-of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu Approximate Lifted Model Construction
Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Möller, Mattis Hartwig Argument-Based Multi-Issue Negotiation
Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang ASP Chef Chats with Large Language Models
Mario Alviano, Pietro Macrì, Luis Angel Rodriguez Reiners Asymptotic Analysis of Weighted Fair Division
Pasin Manurangsi, Warut Suksompong, Tomohiko Yokoyama Attention-Based Conditional Random Field for Financial Fraud Detection
Xiaoguang Wang, Chenxu Wang, Luyue Zhang, Xiaole Wang, Mengqin Wang, Huanlong Liu, Tao Qin AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-Trained Diffusion Models for Image Editing
Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu Automated Detection of Pre-Training Text in Black-Box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng, Wei Luo, Yazhe Wang, Xi Zhang Automated Superscalar Processor Design by Learning Data Dependencies
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 Backdoor Attack on Vertical Federated Graph Neural Network Learning
Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du, Ruijun Deng BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks
Woojin Shin, Donghwa Kang, Daejin Choi, Brent ByungHoon Kang, Jinkyu Lee, Hyeongboo Baek Beyond Fixed Length: Bucket Pre-Training Is All You Need
Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern
Jiahong Xiong, Chengsen Wang, Haifeng Sun, Yuhan Jing, Qi Qi, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang Beyond Symmetry in Repeated Games with Restarts
Henry L. Fleischmann, Kiriaki Fragkia, Ratip Emin Berker Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le Bimodal Depth-First Search for Scalable GAC for AllDifferent
Sulian Le Bozec-Chiffoleau, Nicolas Beldiceanu, Charles Prud'homme, Gilles Simonin, Xavier Lorca Binary Event-Driven Spiking Transformer
Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models
Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Benlong Wu, Li Hu, Gangyang Li, Weiming Zhang, Nenghai Yu Block Circulant Adapter for Large Language Models
Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang Brain-Inspired Stepwise Patch Merging for Vision Transformers
Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng BridgeVoC: Neural Vocoder with Schrödinger Bridge
Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots
Xinglin Chen, Yishuai Cai, Minglong Li, Yunxin Mao, Zhou Yang, Wenjing Yang, Weixia Xu, Ji Wang CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song CAN-ST: Clustering Adaptive Normalization for Spatio-Temporal OOD Learning
Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics
Menghan Liu, Jianhuan Cen, Ziyang Zhou, Haolong Fan, Hongji Li, Ping Wei, Guohang Peng, Changye He, Yuzhe Qin, Yutong Lu, Qingsong Zou Circuit-Aware D-DNNF Compilation
Vincent Derkinderen, Jean-Marie Lagniez City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data
Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng Classifying and Tracking International Aid Contribution Towards SDGs
Sungwon Park, Dongjoon Lee, Kyeongjin Ahn, Yubin Choi, Junho Lee, Meeyoung Cha, Kyung Ryul Park CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
Yuki Tanaka, Ryuji Hashimoto, Takehiro Takayanagi, Zhe Piao, Yuri Murayama, Kiyoshi Izumi Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman Coming Out of the Dark: Human Pose Estimation in Low-Light Conditions
Yong Su, Defang Chen, Meng Xing, Changjae Oh, Xuewei Liu, Jieyang Li Comprehensive Review of Neural Differential Equations for Time Series Analysis
YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui Concurrent Planning and Execution Using Dispatch-Dependent Values
Andrew Coles, Erez Karpas, Solomon Eyal Shimony, Shahaf S. Shperberg, Wheeler Ruml Consensus-Guided Incomplete Multi-View Clustering via Cross-View Affinities Learning
Qian Liu, Huibing Wang, Jinjia Peng, Yawei Chen, Mingze Yao, Xianping Fu, Yang Wang Constrained Serial Dictatorships Can Be Fair
Sylvain Bouveret, Hugo Gilbert, Jérôme Lang, Guillaume Méroué Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu Continuous-Time Reward Machines
Amin Falah, Shibashis Guha, Ashutosh Trivedi Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
Wenkang Han, Wang Lin, Liya Hu, Zhenlong Dai, Yiyun Zhou, Mengze Li, Zemin Liu, Chang Yao, Jingyuan Chen Control in Computational Social Choice
Jiehua Chen, Joanna Kaczmarek, Paul Nüsken, Jörg Rothe, Ildikó Schlotter, Tessa Seeger CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
Binjia Zhou, Hengrui Lou, Lizhe Chen, Haoyuan Li, Dawei Luo, Shuai Chen, Jie Lei, Zunlei Feng, Yijun Bei Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng Counterfactual Strategies for Markov Decision Processes
Paul Kobialka, Lina Gerlach, Francesco Leofante, Erika Ábrahám, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv Critical Node-Aware Augmentation for Hypergraph Contrastive Learning
Zhuo Li, Yuena Lin, Yipeng Wang, Wenmao Liu, Mingliang Yu, Zhen Yang, Gengyu Lyu CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-on Guided by Tri-Zone Priors
Donghao Luo, Yujie Liang, Xu Peng, Xiaobin Hu, Boyuan Jiang, Chengming Xu, Taisong Jin, Chengjie Wang, Yanwei Fu DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao Decoupled Imbalanced Label Distribution Learning
Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo DeepShade: Enable Shade Simulation by Text-Conditioned Image Generation
Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei Denoise-Then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval
Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian Denoising Diffusion Models Are Good General Gaze Feature Learners
Guanzhong Zeng, Jingjing Wang, Pengwei Yin, Zefu Xu, Mingyang Zhou DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation
Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng DepthART: Monocular Depth Estimation as Autoregressive Refinement Task
Bulat Gabdullin, Nina Konovalova, Nikolay Patakin, Dmitry Senushkin, Anton Konushin Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms
Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, Fan Yang, David Segurado, David A. Lutz, Jean-Michel Morel, Miles R. Silman Device-Cloud Collaborative Correction for On-Device Recommendation
Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models
Jisheng Dang, Ligen Chen, Jingze Wu, Ronghao Lin, Bimei Wang, Yun Wang, Liting Wang, Nannan Zhu, Teng Wang Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection
Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement
Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo, Jingyuan Li, Haisheng Li, Weiliang Meng, Xiaopeng Zhang Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
Long Peng, Xin Di, Zhanfeng Feng, Wenbo Li, Renjing Pei, Yang Wang, Xueyang Fu, Yang Cao, Zheng-Jun Zha Distance Preservation Games
Haris Aziz, Hau Chan, Patrick Lederer, Shivika Narang, Toby Walsh Diversity-Aware Reinforcement Learning for De Novo Drug Design
Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani Dividing Conflicting Items Fairly
Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda Dual-Balancing for Physics-Informed Neural Networks
Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png Dual-Level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Z. Chen, Jian Wu DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi DUQ: Dual Uncertainty Quantification for Text-Video Retrieval
Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu Dynamic Network Discovery via Infection Tracing
Ben Bals, Michelle Döring, Nicolas Klodt, George Skretas Dynamic Replanning for Improved Public Transport Routing
Abdallah Abu-Aisha, Bojie Shen, Daniel Damir Harabor, Peter J. Stuckey, Mark Wallace Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System
Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos
Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia EF1 and EFX Orientations
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Viktoriia Korchemna Efficient and Rigorous Model-Agnostic Explanations
João Marques-Silva, Jairo A. Lefebre-Lobaina, Maria Vanina Martinez Efficient Dynamic Ensembling for Multiple LLM Experts
Jinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hu, Bin Xiao, Mingkui Tan Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song Efficient Inter-Operator Scheduling for Concurrent Recommendation Model Inference on GPU
Shuxi Guo, Zikang Xu, Jiahao Liu, Jinyi Zhang, Qi Qi, Haifeng Sun, Jun Huang, Jianxin Liao, Jingyu Wang EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation
Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo Electron Density-Enhanced Molecular Geometry Learning
Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng Emerging Advances in Learned Video Compression: Models, Systems and Beyond
Chuanmin Jia, Feng Ye, Siwei Ma, Wen Gao, Huifang Sun, Leonardo Chiariglione Empowering LLMs with Logical Reasoning: A Comprehensive Survey
Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan EnergyCompress: A General Case Base Learning Strategy
Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake Enhanced Graph Similarity Learning via Adaptive Multi-Scale Feature Fusion
Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang Enhancing Counterfactual Estimation: A Focus on Temporal Treatments
Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance
Yufeng Wang, Jinwu Hu, Ziteng Huang, Kunyang Lin, Zitian Zhang, Peihao Chen, Yu Hu, Qianyue Wang, Zhuliang Yu, Bin Sun, Xiaofen Xing, Qingfang Zheng, Mingkui Tan ESBN: Estimation Shift of Batch Normalization for Source-Free Universal Domain Adaptation
Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions
Anísio Lacerda, Gisele L. Pappa, Adriano César Machado Pereira, Wagner Meira Jr., Alexandre Guimarães de Almeida Barros Evolvable Conditional Diffusion
Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal
Yue Mao, Zhongdi Qu, Imanol Miqueleiz, Aaron M. Ferber, Sami Wolf, Marc Grimson, Sebastian Heilpern, Felipe Siqueira Pacheco, Alexander S. Flecker, Peter B. McIntyre, Carla P. Gomes Expanding the Category of Classifiers with LLM Supervision
Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-Attributed Graph
Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning
Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Chi Xu, Yili Jin, Sami Ma, Rongsheng Qian, Hao Fang, Jiangchuan Liu, Xue Liu, Edith C. H. Ngai, William I. Atlas, Katrina M. Connors, Mark A. Spoljaric Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark
Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Ying, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Yue Zhang, Jinlong Hou, Huyang Sun External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding
Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma Facets in Argumentation: A Formal Approach to Argument Significance
Johannes Klaus Fichte, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist, Yasir Mahmood, Arne Meier, Jonathan Persson Fair Incomplete Multi-View Clustering via Distribution Alignment
Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang fairGNN-WOD: Fair Graph Learning Without Complete Demographics
Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang Fairness-Aware Interactive Target Variable Definition
Dalia Gala, Milo Phillips-Brown, Naman Goel, Carina Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
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 Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths
Stefan Funke, Daniel Koch, Claudius Proissl, Christian Staib, Felix Weitbrecht Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza Fault Diagnosis in REDNet Model Space
Xiren Zhou, Ziyu Tang, Shikang Liu, Ao Chen, Xiangyu Wang, Huanhuan Chen FBQuant: FeedBack Quantization for Large Language Models
Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du Featured Argumentation Framework: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna Federated Domain Generalization with Decision Insight Matrix
Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou, Jian Yang, Jing Teng, Quan Z. Sheng Federated Low-Rank Adaptation for Foundation Models: A Survey
Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye Few-Shot Incremental Multi-Modal Learning via Touch Guidance and Imaginary Vision Synthesis
Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen Few-Shot Novel Category Discovery
Chunming Li, Shidong Wang, Haofeng Zhang Fine-Grained and Efficient Self-Unlearning with Layered Iteration
Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi First-Order Coalition Logic
Davide Catta, Rustam Galimullin, Aniello Murano FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records
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Kerui Chen, Zhiliang Wu, Wenjin Hou, Kun Li, Hehe Fan, Yi Yang Prototype-Based Optimal Transport for Out-of-Distribution Detection
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