Table of Contents

• Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree SearchKenshi Abe, Junpei Komiyama, Atsushi Iwasaki. 3-9 [doi]
• Socially Intelligent Genetic Agents for the Emergence of Explicit NormsRishabh Agrawal, Nirav Ajmeri, Munindar P. Singh. 10-16 [doi]
• An EF2X Allocation Protocol for Restricted Additive ValuationsHannaneh Akrami, Rojin Rezvan, Masoud Seddighin. 17-23 [doi]
• Better Collective Decisions via Uncertainty ReductionShiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh. 24-30 [doi]
• How Should We Vote? A Comparison of Voting Systems within Social NetworksShiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon. 31-38 [doi]
• Public Signaling in Bayesian Ad AuctionsFrancesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi, Giulia Romano, Nicola Gatti 0001. 39-45 [doi]
• Mixed Strategies for Security Games with General Defending RequirementsRufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu 0001, Minming Li, Weijia Jia 0001. 46-52 [doi]
• Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random ValuationsYushi Bai, Paul Gölz. 53-59 [doi]
• Achieving Envy-Freeness with Limited Subsidies under Dichotomous ValuationsSiddharth Barman, Anand Krishna, Yadati Narahari, Soumyarup Sadhukhan. 60-66 [doi]
• Transparency, Detection and Imitation in Strategic ClassificationFlavia Barsotti, Rüya Gökhan Koçer, Fernando P. Santos. 67-73 [doi]
• Time-Constrained Participatory Budgeting Under Uncertain Project CostsDorothea Baumeister, Linus Boes, Christian Laußmann. 74-80 [doi]
• Tolerance is Necessary for Stability: Single-Peaked Swap Schelling GamesDavide Bilò, Vittorio Bilò, Pascal Lenzner, Louise Molitor. 81-87 [doi]
• General Opinion Formation Games with Social Group MembershipVittorio Bilò, Diodato Ferraioli, Cosimo Vinci. 88-94 [doi]
• Fair Equilibria in Sponsored Search Auctions: The Advertisers' PerspectiveGeorgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi. 95-101 [doi]
• Understanding Distance Measures Among ElectionsNiclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa, Tomasz Was. 102-108 [doi]
• Toward Policy Explanations for Multi-Agent Reinforcement LearningKayla Boggess, Sarit Kraus, Lu Feng 0001. 109-115 [doi]
• Distortion in Voting with Top-t PreferencesAllan Borodin, Daniel Halpern 0002, Mohamad Latifian, Nisarg Shah 0001. 116-122 [doi]
• Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority DynamicsSirin Botan, Simon Rey, Zoi Terzopoulou. 123-129 [doi]
• Incentives in Social Decision Schemes with Pairwise Comparison PreferencesFelix Brandt 0001, Patrick Lederer, Warut Suksompong. 130-136 [doi]
• Single-Peaked Opinion UpdatesRobert Bredereck, Anne-Marie George, Jonas Israel, Leon Kellerhals. 137-143 [doi]
• When Votes Change and Committees Should (Not)Robert Bredereck, Till Fluschnik, Andrzej Kaczmarczyk 0001. 144-150 [doi]
• Network Creation with Homophilic AgentsMartin Bullinger, Pascal Lenzner, Anna Melnichenko. 151-157 [doi]
• VidyutVanika21: An Autonomous Intelligent Broker for Smart-gridsSanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar. 158-164 [doi]
• Optimal Anonymous Independent Reward Scheme DesignMengjing Chen, Pingzhong Tang, Zihe Wang 0001, Shenke Xiao, Xiwang Yang. 165-171 [doi]
• Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage TasksXinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li 0001. 172-178 [doi]
• On the Convergence of Fictitious Play: A Decomposition ApproachYurong Chen 0001, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang 0012, Xiang Yan, Yaodong Yang 0001. 179-185 [doi]
• Two-Sided Matching over Social NetworksSung Ho Cho, Taiki Todo, Makoto Yokoo. 186-193 [doi]
• A Formal Model for Multiagent Q-Learning Dynamics on Regular GraphsChen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li 0001, Zhen Wang 0004. 194-200 [doi]
• Preserving Consistency in Multi-Issue Liquid DemocracyRachael Colley, Umberto Grandi. 201-207 [doi]
• Voting in Two-Crossing ElectionsAndrei Constantinescu, Roger Wattenhofer. 208-214 [doi]
• Multi-Agent Intention Progression with Reward MachinesMichael Dann, Yuan Yao 0007, Natasha Alechina, Brian Logan 0001, John Thangarajah. 215-222 [doi]
• An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark StrategyDave De Jonge. 223-229 [doi]
• Approval with RunoffThéo Delemazure, Jérôme Lang, Jean-François Laslier, M. Remzi Sanver. 230-236 [doi]
• The Complexity of Envy-Free Graph CuttingArgyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak. 237-243 [doi]
• Parameterized Complexity of Hotelling-Downs with Party NomineesArgyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith. 244-250 [doi]
• Online Approval Committee ElectionsVirginie Do, Matthieu Hervouin, Jérôme Lang, Piotr Skowron 0001. 251-257 [doi]
• On the Ordinal Invariance of Power Indices on Coalitional GamesJean-Paul Doignon, Stefano Moretti, Meltem Öztürk. 258-264 [doi]
• Invasion Dynamics in the Biased Voter ProcessLoke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec. 265-271 [doi]
• Efficient Resource Allocation with Secretive AgentsSoroush Ebadian, Rupert Freeman, Nisarg Shah 0001. 272-278 [doi]
• Contests to Incentivize a Target GroupEdith Elkind, Abheek Ghosh, Paul W. Goldberg. 279-285 [doi]
• Representation Matters: Characterisation and Impossibility Results for Interval AggregationUlle Endriss, Arianna Novaro, Zoi Terzopoulou. 286-292 [doi]
• Insight into Voting Problem Complexity Using Randomized ClassesZack Fitzsimmons, Edith Hemaspaandra. 293-299 [doi]
• Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection ProblemMichele Flammini, Giovanna Varricchio. 300-306 [doi]
• Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests MattersCoral Haggiag, Sigal Oren, Ella Segev. 307-313 [doi]
• Can Buyers Reveal for a Better Deal?Daniel Halpern 0002, Gregory Kehne, Jamie Tucker-Foltz. 314-320 [doi]
• Two for One & One for All: Two-Sided Manipulation in Matching MarketsHadi Hosseini, Fatima Umar, Rohit Vaish. 321-327 [doi]
• Phragmén Rules for Degressive and Regressive ProportionalityMichal Jaworski 0001, Piotr Skowron 0001. 328-334 [doi]
• Forgiving Debt in Financial Network GamesPanagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou. 335-341 [doi]
• On Discrete Truthful Heterogeneous Two-Facility LocationPanagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang. 342-348 [doi]
• Plurality Veto: A Simple Voting Rule Achieving Optimal Metric DistortionFatih Erdem Kizilkaya, David Kempe 0001. 349-355 [doi]
• The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer RelationsMarina Knittel, Samuel Dooley, John P. Dickerson. 356-362 [doi]
• Light Agents Searching for Hot InformationDariusz R. Kowalski, Dominik Pajak. 363-369 [doi]
• Explaining Preferences by Multiple Patterns in Voters' BehaviorSonja Kraiczy, Edith Elkind. 370-376 [doi]
• Biased Majority Opinion Dynamics: Exploiting Graph k-dominationHicham Lesfari, Frédéric Giroire, Stéphane Pérennes. 377-383 [doi]
• Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete InformationChin-wing Leung, Shuyue Hu, Ho-Fung Leung. 384-390 [doi]
• Propositional Gossip Protocols under Fair SchedulersJoseph Livesey, Dominik Wojtczak. 391-397 [doi]
• Proportional Budget Allocations: Towards a SystematizationMaaike Los, Zoé Christoff, Davide Grossi. 398-404 [doi]
• Parameterized Algorithms for Kidney ExchangeArnab Maiti, Palash Dey. 405-411 [doi]
• Fixing Knockout Tournaments With SeedsPasin Manurangsi, Warut Suksompong. 412-418 [doi]
• Group Wisdom at a Price: Jury Theorems with Costly InformationMatteo Michelini, Adrian Haret, Davide Grossi. 419-425 [doi]
• Automated Synthesis of MechanismsMunyque Mittelmann, Bastien Maubert, Aniello Murano, Laurent Perrussel. 426-432 [doi]
• Robust Solutions for Multi-Defender Stackelberg Security GamesDolev Mutzari, Yonatan Aumann, Sarit Kraus. 433-439 [doi]
• I Will Have Order! Optimizing Orders for Fair Reviewer AssignmentJustin Payan, Yair Zick. 440-446 [doi]
• Fair, Individually Rational and Cheap AdjustmentGleb Polevoy, Marcin Dziubinski. 447-453 [doi]
• Exploring the Benefits of Teams in Multiagent LearningDavid Radke, Kate Larson, Tim Brecht. 454-460 [doi]
• The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated BiddingGiulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti 0001. 461-467 [doi]
• Transfer Learning Based Adaptive Automated Negotiating Agent FrameworkAyan Sengupta, Shinji Nakadai, Yasser Mohammad. 468-474 [doi]
• Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean SpaceChinmay Sonar, Subhash Suri, Jie Xue 0003. 475-481 [doi]
• Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting RulesKrzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu. 482-488 [doi]
• Maxmin Participatory BudgetingGogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari. 489-495 [doi]
• How to Sample Approval Elections?Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon. 496-502 [doi]
• Search-Based Testing of Reinforcement LearningMartin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer. 503-510 [doi]
• Real-Time BDI Agents: A Model and Its ImplementationAndrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini. 511-517 [doi]
• Max-Sum with Quadtrees for Decentralized Coordination in Continuous DomainsDimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou. 518-526 [doi]
• Strategy Proof Mechanisms for Facility Location with Capacity LimitsToby Walsh. 527-533 [doi]
• Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation ApproachZhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li 0001. 534-540 [doi]
• Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial AssignmentJakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken. 541-548 [doi]
• Fourier Analysis-based Iterative Combinatorial AuctionsJakob Weissteiner, Chris Wendler, Sven Seuken, BenjaminLubin, Markus Püschel. 549-556 [doi]
• Manipulating Elections by Changing Voter PerceptionsJunlin Wu 0001, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik. 557-563 [doi]
• Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement LearningMingzhe Xing, Hangyu Mao, Zhen Xiao. 564-570 [doi]
• Mechanism Design with PredictionsChenyang Xu, Pinyan Lu. 571-577 [doi]
• Efficient Multi-Agent Communication via Shapley Message ValueDi Xue, Lei Yuan, Zongzhang Zhang, Yang Yu 0001. 578-584 [doi]
• On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded MetricsYongjie Yang 0001. 585-591 [doi]
• Environment Design for Biased Decision MakersGuanghui Yu, Chien-Ju Ho. 592-598 [doi]
• Multi-Agent Concentrative Coordination with Decentralized Task RepresentationLei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu. 599-605 [doi]
• Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form GamesYouzhi Zhang 0001, Bo An 0001, V. S. Subrahmanian. 606-612 [doi]
• Strategyproof Mechanisms for Group-Fair Facility Location ProblemsHouyu Zhou, Minming Li, Hau Chan. 613-619 [doi]
• Evolutionary Approach to Security Games with SignalingAdam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran. 620-627 [doi]
• Detecting Out-Of-Context Objects Using Graph Contextual Reasoning NetworkManoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran. 629-635 [doi]
• Axiomatic Foundations of ExplainabilityLeila Amgoud, Jonathan Ben-Naim. 636-642 [doi]
• On Preferred Abductive Explanations for Decision Trees and Random ForestsGilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis. 643-650 [doi]
• Individual Fairness Guarantees for Neural NetworksElias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska. 651-658 [doi]
• How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?Alvin Chan, Yew-Soon Ong, Clement Tan. 659-665 [doi]
• Learn to Reverse DNNs from AI Programs AutomaticallySimin Chen, Hamed Khanpour, Cong Liu, Wei Yang 0013. 666-672 [doi]
• CAT: Customized Adversarial Training for Improved RobustnessMinhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh. 673-679 [doi]
• PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt TuningWei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang. 680-686 [doi]
• SoFaiR: Single Shot Fair Representation LearningXavier Gitiaux, Huzefa Rangwala. 687-695 [doi]
• Fairness without the Sensitive Attribute via Causal Variational AutoencoderVincent Grari, Sylvain Lamprier, Marcin Detyniecki. 696-702 [doi]
• Taking Situation-Based Privacy Decisions: Privacy Assistants Working with HumansNadin Kökciyan, Pinar Yolum. 703-709 [doi]
• Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural NetsJeonghyun Lee, Sungmin Han, Sangkyun Lee 0002. 710-716 [doi]
• Investigating and Explaining the Frequency Bias in Image ClassificationZhiyu Lin, Yifei Gao, Jitao Sang. 717-723 [doi]
• AttExplainer: Explain Transformer via Attention by Reinforcement LearningRunliang Niu, Zhepei Wei, Yan Wang, Qi Wang. 724-731 [doi]
• Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNNYao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu. 732-739 [doi]
• BayCon: Model-agnostic Bayesian Counterfactual GeneratorPiotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich. 740-746 [doi]
• What Does My GNN Really Capture? On Exploring Internal GNN RepresentationsLuca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet. 747-752 [doi]
• Shielding Federated Learning: Robust Aggregation with Adaptive Client SelectionWei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin 0001, Yuanyuan He. 753-760 [doi]
• Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware PerturbationsRun Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang. 761-767 [doi]
• Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent PriorsZhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu. 768-775 [doi]
• MetaFinger: Fingerprinting the Deep Neural Networks with Meta-trainingKang Yang, Run Wang, Lina Wang. 776-782 [doi]
• Approximately EFX Allocations for Indivisible ChoresShengwei Zhou 0002, Xiaowei Wu 0001. 783-789 [doi]
• MotionMixer: MLP-based 3D Human Body Pose ForecastingArij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis. 791-798 [doi]
• Event-driven Video Deblurring via Spatio-Temporal Relation-Aware NetworkChengzhi Cao, Xueyang Fu, Yurui Zhu, Gege Shi, Zheng-Jun Zha. 799-805 [doi]
• KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone MappingGaofeng Cao, Fei Zhou 0001, Han Yan, Anjie Wang, Leidong Fan. 806-812 [doi]
• Zero-Shot Logit AdjustmentDubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr. 813-819 [doi]
• Uncertainty-Aware Representation Learning for Action SegmentationLei Chen, Muheng Li, Yueqi Duan, Jie Zhou 0001, Jiwen Lu. 820-826 [doi]
• AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object DetectionZehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao. 827-833 [doi]
• Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image TranslationZekang Chen, Jia Wei, Rui Li 0002. 834-840 [doi]
• SpanConv: A New Convolution via Spanning Kernel Space for Lightweight PansharpeningZhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng. 841-847 [doi]
• Robust Single Image Dehazing Based on Consistent and Contrast-Assisted ReconstructionDe Cheng, Yan Li, Dingwen Zhang, Nannan Wang 0001, Xinbo Gao 0001, Jiande Sun 0001. 848-854 [doi]
• I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose EstimationYiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen 0003, Ming Zeng 0008. 855-862 [doi]
• Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel AggregationHexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang. 863-869 [doi]
• MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationZhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li 0001. 870-876 [doi]
• ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp SegmentationXiuquan Du, Xuebin Xu, Kunpeng Ma. 877-883 [doi]
• SVTR: Scene Text Recognition with a Single Visual ModelYongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, Yu-Gang Jiang. 884-890 [doi]
• Learning Coated Adversarial Camouflages for Object DetectorsYexin Duan, Jialin Chen, Xingyu Zhou 0002, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan. 891-897 [doi]
• D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion PredictionTingyu Fan, Linyao Gao, Yiling Xu, Zhu Li 0001, Dong Wang. 898-904 [doi]
• SparseTT: Visual Tracking with Sparse TransformersZhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang. 905-912 [doi]
• Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive TransformerGuangwei Gao, Zhengxue Wang, Juncheng Li 0003, Wenjie Li, Yi Yu 0001, Tieyong Zeng. 913-919 [doi]
• Region-Aware Temporal Inconsistency Learning for DeepFake Video DetectionZhihao Gu, Taiping Yao, Yang Chen, Ran Yi, Shouhong Ding, Lizhuang Ma. 920-926 [doi]
• Learning Target-aware Representation for Visual Tracking via Informative InteractionsMingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu. 927-934 [doi]
• Exploring Fourier Prior for Single Image Rain RemovalXin Guo, Xueyang Fu, Man Zhou, Zhen Huang, Jialun Peng, Zheng-Jun Zha. 935-941 [doi]
• Rethinking Image Aesthetics Assessment: Models, Datasets and BenchmarksShuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming. 942-948 [doi]
• Self-supervised Semantic Segmentation Grounded in Visual ConceptsWenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren. 949-955 [doi]
• Semantic Compression Embedding for Generative Zero-Shot LearningZiming Hong, Shiming Chen 0002, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You. 956-963 [doi]
• ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise 
Perspective for Medical Image SegmentationHuimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001. 964-971 [doi]
• AQT: Adversarial Query Transformers for Domain Adaptive Object DetectionWei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin 0001, Yusheng Xie, Yen-Yu Lin. 972-979 [doi]
• DANet: Image Deraining via Dynamic Association LearningKui Jiang, Zhongyuan Wang 0001, Zheng Wang 0007, Peng Yi 0002, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin. 980-986 [doi]
• SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus ImageYankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin 0003. 987-994 [doi]
• Domain Generalization through the Lens of Angular InvarianceYujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu 0001. 995-1001 [doi]
• Online Hybrid Lightweight Representations Learning: Its Application to Visual TrackingIlchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han. 1002-1008 [doi]
• Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature AlignmentTakeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa. 1009-1016 [doi]
• Attention-guided Contrastive Hashing for Long-tailed Image RetrievalXuan Kou, Chenghao Xu, Xu Yang 0019, Cheng Deng. 1017-1023 [doi]
• Beyond the Prototype: Divide-and-conquer Proxies for Few-shot SegmentationChunbo Lang, Binfei Tu, Gong Cheng 0003, Junwei Han. 1024-1030 [doi]
• PlaceNet: Neural Spatial Representation Learning with Multimodal AttentionChung-yeon Lee, Youngjae Yoo, Byoung-Tak Zhang. 1031-1038 [doi]
• What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task LearningJae Hee Lee 0001, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter. 1039-1045 [doi]
• Learning to Assemble Geometric ShapesJinhwi Lee, Jungtaek Kim 0001, Hyunsoo Chung, Jaesik Park, Minsu Cho. 1046-1052 [doi]
• Iterative Geometry-Aware Cross Guidance Network for Stereo Image InpaintingAng Li, Shanshan Zhao, Qingjie Zhang, Qiuhong Ke. 1053-1059 [doi]
• Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion EnhancementBing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, Di Huang 0001. 1060-1066 [doi]
• Self-Guided Hard Negative Generation for Unsupervised Person Re-IdentificationDongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang 0001, Zhaoxiang Zhang. 1067-1073 [doi]
• MMNet: Muscle Motion-Guided Network for Micro-Expression RecognitionHanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao 0004. 1074-1080 [doi]
• ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image CaptioningJingyu Li, Zhendong Mao, Shancheng Fang, Hao Li. 1081-1087 [doi]
• RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark DetectionJinpeng Li, Haibo Jin, ShengCai Liao, Ling Shao 0001, Pheng-Ann Heng. 1088-1094 [doi]
• Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose EstimationQun Li, Ziyi Zhang, Fu Xiao 0001, Feng Zhang, Bir Bhanu. 1095-1101 [doi]
• Learning Graph-based Residual Aggregation Network for Group Activity RecognitionWei Li, Tianzhao Yang, Xiao Wu 0001, Zhaoquan Yuan. 1102-1108 [doi]
• TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp SegmentationXiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang 0022, Xuequan Lu, Shang Gao. 1109-1115 [doi]
• PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic SegmentationXiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, Zhenhua Wang. 1116-1122 [doi]
• Unsupervised Embedding and Association Network for Multi-Object TrackingYu-Lei Li. 1123-1129 [doi]
• Multi-View Visual Semantic EmbeddingZheng Li 0014, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue. 1130-1136 [doi]
• Self-supervised Learning and Adaptation for Single Image DehazingYudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu 0001, Wenqi Ren. 1137-1143 [doi]
• Feature Dense Relevance Network for Single Image DehazingYun Liang 0003, Enze Huang, Zifeng Zhang, Zhuo Su 0001, Dong Wang. 1144-1150 [doi]
• RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-onChao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He. 1151-1158 [doi]
• Learning to Estimate Object Poses without Real Image AnnotationsHaotong Lin, Sida Peng, Zhize Zhou, Xiaowei Zhou. 1159-1165 [doi]
• Intrinsic Image Decomposition by Pursuing Reflectance ImageTzu-Heng Lin, Pengxiao Wang, Yizhou Wang 0001. 1166-1172 [doi]
• FQ-ViT: Post-Training Quantization for Fully Quantized Vision TransformerYang Lin, Tianyu Zhang, Peiqin Sun, Zheng Li, Shuchang Zhou. 1173-1179 [doi]
• MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-SpoofingAjian Liu, Yanyan Liang. 1180-1186 [doi]
• Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group AttentionKai Liu, Tianyi Wu, Cong Liu, Guodong Guo. 1187-1193 [doi]
• Cost Ensemble with Gradient Selecting for GANsMinghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu, Xiaomin Wang. 1194-1200 [doi]
• TopoSeg: Topology-aware Segmentation for Point CloudsWeiquan Liu, Hanyun Guo, Weini Zhang, Yu Zang, Cheng Wang, Jonathan Li 0001. 1201-1208 [doi]
• Biological Instance Segmentation with a Superpixel-Guided GraphXiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong. 1209-1215 [doi]
• Vision Shared and Representation Isolated Network for Person SearchYang Liu, Yingping Li, Chengyu Kong, Yuqiu Kong, Shenglan Liu, Feilong Wang. 1216-1222 [doi]
• Copy Motion From One to Another: Fake Motion Video GenerationZhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu 0002, Shuang Wu 0002, Fuli Feng. 1223-1231 [doi]
• Deep Video Harmonization With Color Mapping ConsistencyXinyuan Lu, Shengyuan Huang, Li Niu 0002, Wenyan Cong, Liqing Zhang 0001. 1232-1238 [doi]
• Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionCheng Luo, Siyang Song, Weicheng Xie 0001, LinLin Shen, Hatice Gunes. 1239-1246 [doi]
• Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video ClassificationWenyang Luo, Yufan Liu, Bing Li, Weiming Hu, Yanan Miao, Yangxi Li. 1247-1253 [doi]
• Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image RetrievalZeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu. 1254-1260 [doi]
• Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolutionQian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi. 1261-1267 [doi]
• Continual Semantic Segmentation Leveraging Image-level Labels and RehearsalMathieu Pagé Fortin, Brahim Chaib-draa. 1268-1275 [doi]
• Multilevel Hierarchical Network with Multiscale Sampling for Video Question AnsweringMin Peng, Chongyang Wang, Yuan Gao, Yu Shi 0003, Xiang-Dong Zhou. 1276-1282 [doi]
• Source-Adaptive Discriminative Kernels based Network for Remote Sensing PansharpeningSiran Peng, Liang-Jian Deng, Jin-Fan Hu, Yu-Wei Zhuo. 1283-1289 [doi]
• SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-IdentificationHaocong Rao, Chunyan Miao. 1290-1297 [doi]
• ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingChristoph Reinders, Frederik Schubert, Bodo Rosenhahn. 1298-1305 [doi]
• IDPT: Interconnected Dual Pyramid Transformer for Face Super-ResolutionJingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong. 1306-1312 [doi]
• A Unified Framework for Adversarial Attack and Defense in Constrained Feature SpaceThibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon. 1313-1319 [doi]
• Emotion-Controllable Generalized Talking Face GenerationSanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick. 1320-1327 [doi]
• Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow PredictionSamuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia. 1328-1334 [doi]
• Boundary-Guided Camouflaged Object DetectionYujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang. 1335-1341 [doi]
• Dynamic Domain GeneralizationZhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen. 1342-1348 [doi]
• Video Frame Interpolation Based on Deformable Kernel RegionHaoyue Tian, Pan Gao, Xiaojiang Peng. 1349-1355 [doi]
• Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent ForecastingYu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun. 1356-1362 [doi]
• Automatic Recognition of Emotional Subgroups in ImagesEmmeke Veltmeijer, Charlotte Gerritsen, Koen V. Hindriks. 1363-1370 [doi]
• Augmenting Anchors by the Detector ItselfXiaopei Wan, Guoqiu Li, Yujiu Yang, Zhenhua Guo 0001. 1371-1377 [doi]
• Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic InformationGuanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou 0001, Licheng Jiao. 1378-1384 [doi]
• Iterative Few-shot Semantic Segmentation from Image Label TextHaohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang. 1385-1392 [doi]
• Spatiality-guided Transformer for 3D Dense Captioning on Point CloudsHeng Wang 0007, Chaoyi Zhang, Jianhui Yu, Weidong Cai 0001. 1393-1400 [doi]
• Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionHong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng 0001. 1401-1407 [doi]
• KUNet: Imaging Knowledge-Inspired Single HDR Image ReconstructionHu Wang, Mao Ye 0001, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li. 1408-1414 [doi]
• I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst SegmentationHua Wang, Linwei Qiu, Jingfei Hu, Jicong Zhang. 1415-1422 [doi]
• PACE: Predictive and Contrastive Embedding for Unsupervised Action SegmentationJiahao Wang, Jie Qin, Yunhong Wang, Annan Li. 1423-1429 [doi]
• Double-Check Soft Teacher for Semi-Supervised Object DetectionKuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li. 1430-1436 [doi]
• RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-trainingLuya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao. 1437-1443 [doi]
• Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image SegmentationTao Wang, Jianglin Lu, Zhihui Lai, Jiajun Wen 0001, Heng Kong. 1444-1450 [doi]
• CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based DenoisingXiaoyang Wang, Jimin Xiao, Bingfeng Zhang, Limin Yu. 1451-1457 [doi]
• Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great AgainHaoran Wei, Chenglong Liu, Ping Guo, Yangguang Zhu, Jiamei Fu, Bing Wang, Peng Wang. 1458-1464 [doi]
• Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial NetworksYuanbo Lin Wu, Deyin Liu, Xiaojie Guo 0001, Richang Hong, Liangchen Liu, Rui Zhang. 1465-1473 [doi]
• A Decoder-free Transformer-like Architecture for High-efficiency Single Image DerainingXiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang. 1474-1480 [doi]
• Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph DistillationJun Xia, Ting Wang 0001, Jiepin Ding, Xian Wei, Mingsong Chen. 1481-1487 [doi]
• SCMT: Self-Correction Mean Teacher for Semi-supervised Object DetectionFeng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren. 1488-1494 [doi]
• Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationJiazhi Xu, Sheng Huang 0001, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu. 1495-1501 [doi]
• Webly-Supervised Fine-Grained Recognition with Partial Label LearningYu-Yan Xu, Yang Shen, Xiu-Shen Wei, Jian Yang. 1502-1508 [doi]
• BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose EstimationZelin Xu, Yichen Zhang, Ke Chen 0004, Kui Jia. 1509-1515 [doi]
• Towards Adversarially Robust Deep Image DenoisingHanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan. 1516-1522 [doi]
• Weakening the Influence of Clothing: Universal Clothing Attribute Disentanglement for Person Re-IdentificationYuming Yan, Huimin Yu, Shuzhao Li, Zhaohui Lu, Jianfeng He, Haozhuo Zhang, Runfa Wang. 1523-1529 [doi]
• Multi-level Consistency Learning for Semi-supervised Domain AdaptationZizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han 0001, Shuguang Cui. 1530-1536 [doi]
• Perceptual Learned Video Compression with Recurrent Conditional GANRen Yang, Radu Timofte, Luc Van Gool. 1537-1544 [doi]
• CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd CountingShaopeng Yang, Weiyu Guo, Yuheng Ren. 1545-1551 [doi]
• Entity-aware and Motion-aware Transformers for Language-driven Action LocalizationShuo Yang, Xinxiao Wu. 1552-1558 [doi]
• Learning Prototype via Placeholder for Zero-shot RecognitionZaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong. 1559-1565 [doi]
• Learning Implicit Body Representations from Double Diffusion Based Neural Radiance FieldsGuangming Yao, Hongzhi Wu, Yi Yuan 0002, Lincheng Li, Kun Zhou 0001, Xin Yu 0002. 1566-1572 [doi]
• RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training QuantizationHongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang. 1573-1579 [doi]
• Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy ImagesChong Yin, Siqi Liu, Vincent Wai-Sun Wong, Pong C. Yuen. 1580-1586 [doi]
• Learning to Hash Naturally SortsJiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr. 1587-1593 [doi]
• Multi-Proxy Learning from an Entropy Optimization PerspectiveYunlong Yu, Dingyi Zhang, Yingming Li, Zhongfei Zhang. 1594-1600 [doi]
• To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers FoldingEdouard Yvinec, Arnaud Dapogny, Kevin Bailly. 1601-1607 [doi]
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• Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic SegmentationJianrong Zhang, Tianyi Wu, Chuanghao Ding, Hongwei Zhao, Guodong Guo. 1622-1628 [doi]
• Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary GradientsMing Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao. 1629-1635 [doi]
• Plane Geometry Diagram ParsingMing-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu. 1636-1643 [doi]
• SAR-to-Optical Image Translation via Neural Partial Differential EquationsMingjin Zhang, Chengyu He, Jing Zhang, Yuxiang Yang, Xiaoqi Peng, Jie Guo 0009. 1644-1650 [doi]
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• CATrans: Context and Affinity Transformer for Few-Shot SegmentationShan Zhang, Tianyi Wu, Sitong Wu, Guodong Guo. 1658-1664 [doi]
• Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftWenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo. 1665-1671 [doi]
• Enhancing the Transferability of Adversarial Examples with Random PatchYaoyuan Zhang, Yu-an Tan 0001, Tian Chen, Xinrui Liu, Quanxin Zhang, Yuanzhang Li. 1672-1678 [doi]
• Visual Emotion Representation Learning via Emotion-Aware Pre-trainingYue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu 0001. 1679-1685 [doi]
• Distilling Inter-Class Distance for Semantic SegmentationZhengbo Zhang, Chunluan Zhou, Zhigang Tu 0001. 1686-1692 [doi]
• Domain Adversarial Learning for Color ConstancyZhifeng Zhang, Xuejing Kang, Anlong Ming. 1693-1699 [doi]
• Domain Adaptation via Maximizing Surrogate Mutual InformationHaiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng. 1700-1706 [doi]
• C3-STISR: Scene Text Image Super-resolution with Triple CluesMinyi Zhao, Miao Wang, Fan Bai 0001, Bingjia Li, Jie Wang, Shuigeng Zhou. 1707-1713 [doi]
• Learning to Generate Image Source-Agnostic Universal Adversarial PerturbationsPu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf 0001, Xue Lin, Sijia Liu 0001. 1714-1720 [doi]
• Test-time Fourier Style Calibration for Domain GeneralizationXingchen Zhao, Chang Liu 0022, Anthony Sicilia, Seong Jae Hwang, Yun Fu 0001. 1721-1727 [doi]
• Visual Similarity AttentionMeng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu. 1728-1735 [doi]
• Imperceptible Backdoor Attack: From Input Space to Feature RepresentationNan Zhong, Zhenxing Qian, Xinpeng Zhang. 1736-1742 [doi]
• Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene UnderstandingXian Zhong, Shidong Tu, Xianzheng Ma, Kui Jiang, Wenxin Huang, Zheng Wang. 1743-1749 [doi]
• HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D ControlFeida Zhu 0002, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang. 1750-1756 [doi]
• Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image RestorationGuijing Zhu, Long Ma 0002, Xin Fan 0001, Risheng Liu. 1757-1764 [doi]
• A Solver + Gradient Descent Training Algorithm for Deep Neural NetworksDhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh. 1766-1773 [doi]
• Fine-grained Complexity of Partial Minimum SatisfiabilityIvan Bliznets, Danil Sagunov, Kirill Simonov. 1774-1780 [doi]
• QCDCL with Cube Learning or Pure Literal Elimination - What is Best?Benjamin Böhm 0001, Tomás Peitl, Olaf Beyersdorff. 1781-1787 [doi]
• Combining Constraint Solving and Bayesian Techniques for System OptimizationFranz Brauße, Zurab Khasidashvili, Konstantin Korovin. 1788-1794 [doi]
• DPSampler: Exact Weighted Sampling Using Dynamic ProgrammingJeffrey M. Dudek, Aditya A. Shrotri, Moshe Y. Vardi. 1795-1803 [doi]
• A Multivariate Complexity Analysis of Qualitative Reasoning ProblemsLeif Eriksson, Victor Lagerkvist. 1804-1810 [doi]
• Accelerated Multiplicative Weights Update Avoids Saddle Points Almost AlwaysYi Feng, Ioannis Panageas, Xiao Wang 0036. 1811-1817 [doi]
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• Encoding Probabilistic Graphical Models into Stochastic Boolean SatisfiabilityCheng-Han Hsieh, Jie-Hong R. Jiang. 1834-1842 [doi]
• Degradation Accordant Plug-and-Play for Low-Rank Tensor CompletionYexun Hu, Tai-Xiang Jiang, Xi-Le Zhao. 1843-1849 [doi]
• Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security PoliciesMikhail Kazdagli, Mohit Tiwari, Akshat Kumar. 1850-1858 [doi]
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• Automated Program Analysis: Revisiting Precondition Inference through Constraint AcquisitionGrégoire Menguy, Sébastien Bardin, Nadjib Lazaar, Arnaud Gotlieb. 1873-1879 [doi]
• Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association RulesCharles Vernerey, Samir Loudni, Noureddine Aribi, Yahia Lebbah. 1880-1886 [doi]
• An Exact MaxSAT Algorithm: Further Observations and Further ImprovementsMingyu Xiao. 1887-1893 [doi]
• Inverting 43-step MD4 via Cube-and-ConquerOleg Zaikin 0003. 1894-1900 [doi]
• BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed BanditJiongzhi Zheng, Kun He 0001, Jianrong Zhou, Yan Jin 0005, Chu Min Li, Felip Manyà. 1901-1907 [doi]
• A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph ProblemJianrong Zhou, Kun He 0001, Jiongzhi Zheng, Chu Min Li, Yanli Liu 0001. 1908-1914 [doi]
• Doubly Sparse Asynchronous Learning for Stochastic Composite OptimizationRunxue Bao, Xidong Wu, Wenhan Xian, Heng Huang. 1916-1922 [doi]
• Hypergraph Structure Learning for Hypergraph Neural NetworksDerun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li 0002. 1923-1929 [doi]
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• Non-Euclidean Self-Organizing MapsDorota Celinska-Kopczynska, Eryk Kopczynski. 1938-1944 [doi]
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• Robust High-Dimensional Classification From Few Positive ExamplesDeepayan Chakrabarti, Benjamin Fauber. 1952-1958 [doi]
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• Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated SettingMingyang Chen, Wen Zhang 0015, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen. 1966-1972 [doi]
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• Towards Robust Dense Retrieval via Local Ranking AlignmentXuanang Chen, Jian Luo, Ben He, Le Sun 0001, Yingfei Sun. 1980-1986 [doi]
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• Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series ForecastingRazvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang 0002, Tung Kieu, Xuanyi Dong, Shirui Pan. 1994-2001 [doi]
• CADET: Calibrated Anomaly Detection for Mitigating Hardness BiasAilin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi. 2002-2008 [doi]
• Private Semi-Supervised Federated LearningChenyou Fan, Junjie Hu, Jianwei Huang. 2009-2015 [doi]
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• When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation MattersZiquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao. 2030-2036 [doi]
• Disentangling the Computational Complexity of Network UntanglingVincent Froese, Pascal Kunz, Philipp Zschoche. 2037-2043 [doi]
• Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder StructureYifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li. 2044-2051 [doi]
• Self-supervised Graph Neural Networks for Multi-behavior RecommendationShuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao. 2052-2058 [doi]
• Constrained Adaptive Projection with Pretrained Features for Anomaly DetectionXingtai Gui, Di Wu, Yang Chang, Shicai Fan. 2059-2065 [doi]
• Quaternion Ordinal EmbeddingWenzheng Hou, Qianqian Xu, Ke Ma 0001, Qianxiu Hao, Qingming Huang. 2066-2072 [doi]
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• GraphDIVE: Graph Classification by Mixture of Diverse ExpertsFenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. 2080-2086 [doi]
• End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution DetectionTiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen. 2087-2093 [doi]
• A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothingXuan Jiang, Zhiyong Yang 0001, Peisong Wen, Li Su 0003, Qingming Huang. 2094-2100 [doi]
• CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningDi Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan. 2101-2107 [doi]
• RAW-GNN: RAndom Walk Aggregation based Graph Neural NetworkDi Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang. 2108-2114 [doi]
• Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural GraphsHongwei Jin, Xun Chen. 2115-2121 [doi]
• TGNN: A Joint Semi-supervised Framework for Graph-level ClassificationWei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen 0002, Minghua Deng, Xian-Sheng Hua 0001, Ming Zhang. 2122-2128 [doi]
• HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge StreamsGeon Lee, Minyoung Choe, Kijung Shin. 2129-2137 [doi]
• MLP4Rec: A Pure MLP Architecture for Sequential RecommendationsMuyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao 0002, Runze Wu, Ruocheng Guo. 2138-2144 [doi]
• Community Question Answering Entity Linking via Leveraging Auxiliary DataYuhan Li, Wei Shen 0004, Jianbo Gao, Yadong Wang. 2145-2151 [doi]
• TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph ReasoningYujia Li, Shiliang Sun, Jing Zhao 0015. 2152-2158 [doi]
• Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit FeedbackFangyuan Luo, Jun Wu, Tao Wang. 2159-2165 [doi]
• Adapt to Adaptation: Learning Personalization for Cross-Silo Federated LearningJun Luo 0010, Shandong Wu. 2166-2173 [doi]
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• Continual Federated Learning Based on Knowledge DistillationYuhang Ma, Zhongle Xie, Jue Wang 0019, Ke Chen 0005, Lidan Shou. 2182-2188 [doi]
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• Raising the Bar in Graph-level Anomaly DetectionChen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph. 2196-2203 [doi]
• Poisoning Deep Learning Based Recommender Model in Federated Learning ScenariosDazhong Rong, Qinming He, Jianhai Chen. 2204-2210 [doi]
• Towards Resolving Propensity Contradiction in Offline Recommender LearningYuta Saito, Masahiro Nomura. 2211-2217 [doi]
• Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated FeaturesXinyi Shang, Yang Lu, Gang Huang, Hanzi Wang. 2218-2224 [doi]
• Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph AttentionWei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim. 2225-2232 [doi]
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• Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANsBowen Tian, Qinliang Su, Jian Yin 0001. 2255-2261 [doi]
• MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link PredictionHung Nghiep Tran, Atsuhiro Takasu. 2262-2269 [doi]
• HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient RecommendationFan Wang, Weiming Liu, Chaochao Chen 0001, Mengying Zhu, Xiaolin Zheng. 2270-2276 [doi]
• Augmenting Knowledge Graphs for Better Link PredictionJiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao. 2277-2283 [doi]
• FAITH: Few-Shot Graph Classification with Hierarchical Task GraphsSong Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li. 2284-2290 [doi]
• Language Models as Knowledge EmbeddingsXintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao. 2291-2297 [doi]
• Ensemble Multi-Relational Graph Neural NetworksYuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu. 2298-2304 [doi]
• CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion RecognitionXin-Cheng Wen, Jia-Xin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-li Wu, Kun-Hong Liu 0001. 2305-2311 [doi]
• Multi-Graph Fusion Networks for Urban Region EmbeddingShangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng 0002, Cheng Wang. 2312-2318 [doi]
• Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based ApproachShuang Wu 0005, Jingyu Zhao 0001, Guangjian Tian. 2319-2325 [doi]
• Decentralized Unsupervised Learning of Visual RepresentationsYawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li 0004, Yiyu Shi, Jingtong Hu. 2326-2333 [doi]
• FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningYuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang. 2334-2340 [doi]
• Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge GraphsXiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan. 2341-2347 [doi]
• GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and CompletionChaoqi Yang, Cheng Qian 0001, Jimeng Sun. 2348-2354 [doi]
• Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering ApproachChenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao 0001, Junwei Pan, Guihai Chen. 2355-2361 [doi]
• Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series ForecastingHongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu. 2362-2368 [doi]
• CERT: Continual Pre-training on Sketches for Library-oriented Code GenerationDaoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou. 2369-2375 [doi]
• Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed NetworksJiaqiang Zhang, Senzhang Wang, Songcan Chen. 2376-2382 [doi]
• Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand PredictionRuixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun. 2383-2389 [doi]
• GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational LearningWeiqi Zhang, Chen Zhang, Fugee Tsung. 2390-2397 [doi]
• Enhancing Sequential Recommendation with Graph Contrastive LearningYixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, LiZhen Cui, Chunyan Miao. 2398-2405 [doi]
• T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series ClassificationPu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001. 2406-2412 [doi]
• MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor DetectionJiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang 0001. 2413-2419 [doi]
• Table2Graph: Transforming Tabular Data to Unified Weighted GraphKaixiong Zhou, Zirui Liu, Rui Chen 0012, Li Li, Soo Hyun Choi, Xia Hu. 2420-2426 [doi]
• Bridging Differential Privacy and Byzantine-Robustness via Model AggregationHeng Zhu, Qing Ling. 2427-2433 [doi]
• Spiking Graph Convolutional NetworksZulun Zhu, Jiaying Peng, Jintang Li, Liang Chen 0001, Qi Yu, Siqiang Luo. 2434-2440 [doi]
• Data-Free Adversarial Knowledge Distillation for Graph Neural NetworksYuanXin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun. 2441-2447 [doi]
• Proximity Enhanced Graph Neural Networks with Channel ContrastWei Zhuo, Guang Tan. 2448-2455 [doi]
• On the Utility of Prediction Sets in Human-AI TeamsVarun Babbar, Umang Bhatt, Adrian Weller. 2457-2463 [doi]
• Multi-Tier Platform for Cognizing Massive ElectroencephalogramZheng Chen 0012, Lingwei Zhu, Ziwei Yang 0002, Renyuan Zhang. 2464-2470 [doi]
• Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural NetworksLang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan 0001. 2471-2477 [doi]
• Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple ExpertsPatrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger. 2478-2484 [doi]
• Efficient and Accurate Conversion of Spiking Neural Network with Burst SpikesYang Li, Yi Zeng 0001. 2485-2491 [doi]
• Semi-Supervised Imitation Learning of Team Policies from Suboptimal DemonstrationsSangwon Seo, Vaibhav V. Unhelkar. 2492-2500 [doi]
• Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN ConversionYuchen Wang, Malu Zhang, Yi Chen, Hong Qu. 2501-2508 [doi]
• Rethinking InfoNCE: How Many Negative Samples Do You Need?Chuhan Wu, Fangzhao Wu, Yongfeng Huang. 2509-2515 [doi]
• On Preferences and Priority Rules in Abstract ArgumentationGianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna. 2517-2524 [doi]
• Beyond Strong-Cyclic: Doing Your Best in Stochastic EnvironmentsBenjamin Aminof, Giuseppe De Giacomo, Sasha Rubin, Florian Zuleger. 2525-2531 [doi]
• Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical ArgumentationOfer Arieli, Kees van Berkel 0002, Christian Straßer. 2532-2538 [doi]
• Limits and Possibilities of Forgetting in Abstract ArgumentationRingo Baumann, Matti Berthold. 2539-2545 [doi]
• Body-Decoupled Grounding via Solving: A Novel Approach on the ASP BottleneckViktor Besin, Markus Hecher, Stefan Woltran. 2546-2552 [doi]
• Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite TracesDiego Calvanese, Giuseppe De Giacomo, Marco Montali, Fabio Patrizi. 2553-2560 [doi]
• The Limits of Morality in Strategic GamesRui Cao, Pavel Naumov. 2561-2567 [doi]
• On Verifying Expectations and Observations of Intelligent AgentsSourav Chakraborty 0001, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber. 2568-2574 [doi]
• Personalized Federated Learning With a GraphFengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang 0002. 2575-2582 [doi]
• On the Complexity of Enumerating Prime Implicants from Decision-DNNF CircuitsAlexis de Colnet, Pierre Marquis. 2583-2590 [doi]
• LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at WorkGiuseppe De Giacomo, Marco Favorito, Jianwen Li, Moshe Y. Vardi, Shengping Xiao, Shufang Zhu 0001. 2591-2598 [doi]
• Epistemic Logic of Likelihood and BeliefJames P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco. 2599-2605 [doi]
• LTL on Weighted Finite Traces: Formal Foundations and AlgorithmsCarmine Dodaro, Valeria Fionda, Gianluigi Greco. 2606-2612 [doi]
• Abstract Argumentation Frameworks with Marginal ProbabilitiesBettina Fazzinga, Sergio Flesca, Filippo Furfaro. 2613-2619 [doi]
• Plausibility Reasoning via Projected Answer Set Counting - A Hybrid ApproachJohannes Klaus Fichte, Markus Hecher, Mohamed A. Nadeem. 2620-2626 [doi]
• Frontiers and Exact Learning of ELI Queries under DL-Lite OntologiesMaurice Funk, Jean Christoph Jung, Carsten Lutz. 2627-2633 [doi]
• Simulating Sets in Answer Set ProgrammingSarah Alice Gaggl, Philipp Hanisch, Markus Krötzsch. 2634-2640 [doi]
• Linear Temporal Logic Modulo Theories over Finite TracesLuca Geatti, Alessandro Gianola, Nicola Gigante. 2641-2647 [doi]
• A Computationally Grounded Logic of 'Seeing-to-it-that'Andreas Herzig, Emiliano Lorini, Elise Perrotin. 2648-2654 [doi]
• Possibilistic Logic Underlies Abstract Dialectical FrameworksJesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba, Matthias Thimm. 2655-2661 [doi]
• Lexicographic Entailment, Syntax Splitting and the Drowning ProblemJesse Heyninck, Gabriele Kern-Isberner, Thomas Andreas Meyer. 2662-2668 [doi]
• Computing Concept Referring Expressions for Queries on Horn ALC OntologiesMoritz Illich, Birte Glimm. 2669-2675 [doi]
• The Egocentric Logic of PreferencesJunli Jiang, Pavel Naumov. 2676-2682 [doi]
• In Data We Trust: The Logic of Trust-Based BeliefsJunli Jiang, Pavel Naumov. 2683-2689 [doi]
• Conditional Independence for Iterated Belief RevisionGabriele Kern-Isberner, Jesse Heyninck, Christoph Beierle. 2690-2696 [doi]
• Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed DataMark Law, Krysia Broda, Alessandra Russo. 2697-2704 [doi]
• Explanations for Negative Query Answers under Inconsistency-Tolerant SemanticsThomas Lukasiewicz, Enrico Malizia, Cristian Molinaro. 2705-2711 [doi]
• Causes of Effects: Learning Individual Responses from Population DataScott Mueller, Ang Li, Judea Pearl. 2712-2718 [doi]
• Inverse Problems for Gradual SemanticsNir Oren, Bruno Yun, Srdjan Vesic, Murilo S. Baptista. 2719-2725 [doi]
• Learning Higher-Order Logic Programs From FailuresStanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk. 2726-2733 [doi]
• Revision by Comparison for Ranking FunctionsMeliha Sezgin, Gabriele Kern-Isberner. 2734-2740 [doi]
• Considering Constraint Monotonicity and Foundedness in Answer Set ProgrammingYi-Dong Shen, Thomas Eiter. 2741-2747 [doi]
• Updating Probability Intervals with Uncertain InputsKarim Tabia. 2748-2754 [doi]
• Simple and Effective Relation-based Embedding Propagation for Knowledge Representation LearningHuijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu. 2755-2761 [doi]
• Human Parity on CommonsenseQA: Augmenting Self-Attention with External AttentionYichong Xu, Chenguang Zhu 0001, Shuohang Wang, Siqi Sun, Hao Cheng 0002, Xiaodong Liu 0003, Jianfeng Gao, Pengcheng He, Michael Zeng 0001, Xuedong Huang 0001. 2762-2768 [doi]
• GL-RG: Global-Local Representation Granularity for Video CaptioningLiqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang 0001, Dongfang Liu. 2769-2775 [doi]
• FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the ServerHong Zhang, Ji Liu 0003, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou. 2776-2782 [doi]
• Synthesis of Maximally Permissive Strategies for LTLf SpecificationsShufang Zhu 0001, Giuseppe De Giacomo. 2783-2789 [doi]
• Learning Label Initialization for Time-Dependent Harmonic ExtensionAmitoz Azad. 2791-2797 [doi]
• Fixed-Budget Best-Arm Identification in Structured BanditsMohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh. 2798-2804 [doi]
• One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation ModelWonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland. 2805-2811 [doi]
• Logit Mixing Training for More Reliable and Accurate PredictionDuhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim. 2812-2819 [doi]
• Adversarial Explanations for Knowledge Graph EmbeddingsPatrick Betz, Christian Meilicke, Heiner Stuckenschmidt. 2820-2826 [doi]
• Not a Number: Identifying Instance Features for Capability-Oriented EvaluationRyan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo. 2827-2835 [doi]
• Posistive-Unlabeled Learning via Optimal Transport and Margin DistributionNan Cao, Teng Zhang 0001, Xuanhua Shi, Hai Jin 0001. 2836-2842 [doi]
• Neural Contextual Anomaly Detection for Time SeriesChris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus. 2843-2851 [doi]
• Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node ClassificationDeli Chen, Yankai Lin, Lei Li 0039, Xuancheng Ren, Peng Li 0030, Jie Zhou, Xu Sun 0001. 2852-2858 [doi]
• Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking CameraShiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang 0001. 2859-2866 [doi]
• DDDM: A Brain-Inspired Framework for Robust ClassificationXiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang. 2867-2873 [doi]
• Better Embedding and More Shots for Few-shot LearningZiqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu. 2874-2880 [doi]
• Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated LearningYae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis. 2881-2887 [doi]
• Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?Hwanil Choi, Wonjoon Chang, Jaesik Choi. 2888-2894 [doi]
• Geometric Transformer for End-to-End Molecule Properties PredictionYoni Choukroun, Lior Wolf. 2895-2901 [doi]
• Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual LearningKamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski. 2902-2908 [doi]
• Reinforcement Learning with Option MachinesFloris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen. 2909-2915 [doi]
• Coherent Probabilistic Aggregate Queries on Long-horizon ForecastsPrathamesh Deshpande, Sunita Sarawagi. 2916-2922 [doi]
• Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsFranck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu. 2923-2929 [doi]
• Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy ImagesNanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh. 2930-2936 [doi]
• Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation ClassificationChunliu Dou, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng 0002, Kewen Wang 0001. 2937-2943 [doi]
• Multi-Vector Embedding on Networks with TaxonomiesYue Fan, Xiuli Ma. 2944-2950 [doi]
• Fixed-Budget Pure Exploration in Multinomial Logit BanditsBoli Fang. 2951-2957 [doi]
• Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain AdaptationCheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota. 2958-2965 [doi]
• Comparison Knowledge Translation for Generalizable Image ClassificationZunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang. 2966-2972 [doi]
• Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching ModelCèsar Ferri, José Hernández-Orallo, Jan Arne Telle. 2973-2979 [doi]
• DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series DataAsadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan. 2980-2986 [doi]
• Multi-view Unsupervised Graph Representation LearningJiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu 0001. 2987-2993 [doi]
• A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series ClassificationGe Gao, Qitong Gao, Xi Yang 0019, Miroslav Pajic, Min Chi. 2994-3000 [doi]
• Bootstrapping Informative Graph Augmentation via A Meta Learning ApproachHang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun 0001, Changwen Zheng. 3001-3007 [doi]
• Learning First-Order Rules with Differentiable Logic Program SemanticsKun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang. 3008-3014 [doi]
• Attributed Graph Clustering with Dual Redundancy ReductionLei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu. 3015-3021 [doi]
• Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion AttacksPascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell 0001. 3022-3028 [doi]
• RoboGNN: Robustifying Node Classification under Link PerturbationSheng Guan, Hanchao Ma, Yinghui Wu. 3029-3035 [doi]
• Option Transfer and SMDP Abstraction with Successor FeaturesDongge Han, Sebastian Tschiatschek. 3036-3042 [doi]
• To Trust or Not To Trust Prediction Scores for Membership Inference AttacksDominik Hintersdorf, Lukas Struppek, Kristian Kersting. 3043-3049 [doi]
• Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient MethodsNiklas Höpner, Ilaria Tiddi, Herke van Hoof. 3050-3056 [doi]
• Learning Continuous Graph Structure with Bilevel Programming for Graph Neural NetworksMinyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan. 3057-3063 [doi]
• SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual ModalitiesPengbo Hu, Xingyu Li, Yi Zhou. 3064-3070 [doi]
• Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image SegmentationTao Hu, Shiliang Sun, Jing Zhao 0015, Dongyu Shi. 3071-3077 [doi]
• Type-aware Embeddings for Multi-Hop Reasoning over Knowledge GraphsZhiwei Hu, Victor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan. 3078-3084 [doi]
• Reconstructing Diffusion Networks from Incomplete DataHao Huang 0001, Keqi Han, Beicheng Xu, Ting Gan. 3085-3091 [doi]
• FLS: A New Local Search Algorithm for K-means with Smaller Search SpaceJunyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu 0001, Jianxin Wang 0001. 3092-3098 [doi]
• Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial TrainingPeide Huang, Mengdi Xu, Fei Fang, Ding Zhao. 3099-3106 [doi]
• On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network AccelerationDi Jiang, Yuan Cao, Qiang Yang 0001. 3107-3113 [doi]
• Graph Masked Autoencoder Enhanced Predictor for Neural Architecture SearchKun Jing, Jungang Xu, Pengfei Li. 3114-3120 [doi]
• Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the FutureByunggill Joe, Insik Shin, Jihun Hamm. 3121-3127 [doi]
• Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure PredictionMateusz Jurewicz, Leon Derczynski. 3128-3134 [doi]
• Data Augmentation for Learning to Play in Text-Based GamesJinhyeon Kim, Kee-Eung Kim. 3143-3149 [doi]
• Self-Predictive Dynamics for Generalization of Vision-based Reinforcement LearningKyungsoo Kim, Jeongsoo Ha, Yusung Kim 0001. 3150-3156 [doi]
• DyGRAIN: An Incremental Learning Framework for Dynamic GraphsSeoyoon Kim, Seongjun Yun, Jaewoo Kang. 3157-3163 [doi]
• Thompson Sampling for Bandit Learning in Matching MarketsFang Kong 0002, Junming Yin, Shuai Li. 3164-3170 [doi]
• Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics MismatchHyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee. 3171-3177 [doi]
• Pseudo-spherical Knowledge DistillationKyungmin Lee, Hyeongkeun Lee. 3178-3184 [doi]
• Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold CalibrationSangkyun Lee 0002, Sungmin Han. 3185-3191 [doi]
• SGAT: Simplicial Graph Attention NetworkSee Hian Lee, Feng Ji, Wee-Peng Tay. 3192-3200 [doi]
• Learning General Gaussian Mixture Model with Integral Cosine SimilarityGuanglin Li 0001, Bin Li, Changsheng Chen, Shunquan Tan, Guoping Qiu. 3201-3207 [doi]
• Ridgeless Regression with Random FeaturesJian Li, Yong Liu, Yingying Zhang. 3208-3214 [doi]
• Learning from Students: Online Contrastive Distillation Network for General Continual LearningJin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao. 3215-3221 [doi]
• Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive ManipulationLei Li, Kai Fan, Chun Yuan. 3222-3228 [doi]
• Neural PCA for Flow-Based Representation LearningShen Li, Bryan Hooi. 3229-3235 [doi]
• Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural ReparameterizationYanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen. 3236-3242 [doi]
• Rethinking the Setting of Semi-supervised Learning on GraphsZiang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang 0001. 3243-3249 [doi]
• Contrastive Multi-view Hyperbolic Hierarchical ClusteringFangfei Lin, Bing Bai, Kun Bai, Yazhou Ren 0001, Peng Zhao, Zenglin Xu. 3250-3256 [doi]
• JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement LearningZichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang 0032. 3257-3263 [doi]
• Declaration-based Prompt Tuning for Visual Question AnsweringYuhang Liu, Wei Wei 0006, Daowan Peng, Feida Zhu 0001. 3264-3270 [doi]
• Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative PriorsZhaoqiang Liu, Jun Han. 3271-3277 [doi]
• SELC: Self-Ensemble Label Correction Improves Learning with Noisy LabelsYangdi Lu, Wenbo He. 3278-3284 [doi]
• Exploring Binary Classification Hidden within Partial Label LearningHengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li 0001. 3285-3291 [doi]
• Teaching LTLf Satisfiability Checking to Neural NetworksWeilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang. 3292-3298 [doi]
• Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music AudioYin-Jyun Luo, Sebastian Ewert, Simon Dixon. 3299-3305 [doi]
• Deep Graph Matching for Partial Label LearningGengyu Lyu, Yanan Wu, Songhe Feng. 3306-3312 [doi]
• Locally Normalized Soft Contrastive Clustering for Compact ClustersXin Ma 0006, Won Hwa Kim. 3313-3320 [doi]
• Game Redesign in No-regret Game PlayingYuzhe Ma, Young Wu, Xiaojin Zhu 0001. 3321-3327 [doi]
• COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail DependenceAndrew McDonald, Pang-Ning Tan, Lifeng Luo. 3328-3334 [doi]
• Tessellation-Filtering ReLU Neural NetworksBernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan. 3335-3341 [doi]
• A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNsNingping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo. 3342-3350 [doi]
• Escaping Feature Twist: A Variational Graph Auto-Encoder for Node ClusteringNairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini. 3351-3357 [doi]
• Composing Neural Learning and Symbolic Reasoning with an Application to Visual DiscriminationAdithya Murali, Atharva Sehgal, Paul Krogmeier, P. Madhusudan. 3358-3365 [doi]
• Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input TransformationsNikita Muravev, Aleksandr Petiushko. 3366-3372 [doi]
• Weakly-supervised Text Classification with Wasserstein Barycenters RegularizationJihong OuYang, Yiming Wang, XiMing Li, Changchun Li. 3373-3379 [doi]
• Search-based Reinforcement Learning through Bandit Linear OptimizationMilan Peelman, Antoon Bronselaer, Guy De Tré. 3380-3386 [doi]
• On the Optimization of Margin DistributionMeng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao. 3387-3393 [doi]
• Understanding the Limits of Poisoning Attacks in Episodic Reinforcement LearningAnshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti. 3394-3400 [doi]
• Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback CountsGiulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti 0001, Marcello Restelli. 3401-3407 [doi]
• Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision ProcessesAlessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo. 3408-3415 [doi]
• PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment RepresentationsTong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang. 3416-3422 [doi]
• Federated Multi-Task Attention for Cross-Individual Human Activity RecognitionQiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu. 3423-3429 [doi]
• Lexicographic Multi-Objective Reinforcement LearningJoar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate. 3430-3436 [doi]
• Dynamic Sparse Training for Deep Reinforcement LearningGhada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone. 3437-3443 [doi]
• CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement LearningChenyu Sun, Hangwei Qian, Chunyan Miao. 3444-3450 [doi]
• Memory Augmented State Space Model for Time Series ForecastingYinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei 0001, Yulin Kang, Llinbao Ye. 3451-3457 [doi]
• MMT: Multi-way Multi-modal Transformer for Multimodal LearningJiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao. 3458-3465 [doi]
• RecipeRec: A Heterogeneous Graph Learning Model for Recipe RecommendationYijun Tian 0001, Chuxu Zhang, Zhichun Guo, Chao Huang 0001, Ronald A. Metoyer, Nitesh V. Chawla. 3466-3472 [doi]
• Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural NetworksYijun Tian 0001, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla. 3473-3479 [doi]
• Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video StreamsMatteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci. 3480-3486 [doi]
• Approximate Exploitability: Learning a Best ResponseFinbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling. 3487-3493 [doi]
• Initializing Then Refining: A Simple Graph Attribute Imputation NetworkWenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu 0008, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng. 3494-3500 [doi]
• Bounded Memory Adversarial Bandits with Composite Anonymous Delayed FeedbackZongqi Wan, Xiaoming Sun, Jialin Zhang 0001. 3501-3507 [doi]
• Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and RegistrationDi Wang, Jinyuan Liu, Xin Fan, Risheng Liu. 3508-3515 [doi]
• Multi-Task Personalized Learning with Sparse Network LassoJiankun Wang, Lu Sun. 3516-3522 [doi]
• IMO^3: Interactive Multi-Objective Off-Policy OptimizationNan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier. 3523-3529 [doi]
• Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest RecommendationXiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang. 3530-3536 [doi]
• Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & ApplicationsXuchuang Wang, Hong Xie 0004, John C. S. Lui. 3537-3543 [doi]
• Estimation and Comparison of Linear Regions for ReLU NetworksYuan Wang. 3544-3550 [doi]
• Self-paced Supervision for Multi-source Domain AdaptationZengmao Wang, Chaoyang Zhou, Bo Du 0001, Fengxiang He. 3551-3557 [doi]
• Value Refinement Network (VRN)Jan Wöhlke, Felix Schmitt, Herke van Hoof. 3558-3565 [doi]
• EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive FusionDanyang Wu, Jitao Lu, Feiping Nie 0001, Rong Wang, Yuan Yuan. 3566-3572 [doi]
• A Unified Meta-Learning Framework for Dynamic Transfer LearningJun Wu 0019, Jingrui He. 3573-3579 [doi]
• A Simple yet Effective Method for Graph ClassificationJunran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan 0001, Ke Xu 0001. 3580-3586 [doi]
• Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-EncodersXinxing Wu, Qiang Cheng. 3587-3593 [doi]
• Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical PrinciplesZheng-Fan Wu, Yi-Nan Feng, Hui Xue 0002. 3594-3600 [doi]
• Information Augmentation for Few-shot Node ClassificationZongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu 0001. 3601-3607 [doi]
• Adversarial Bi-Regressor Network for Domain Adaptive RegressionHaifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding. 3608-3614 [doi]
• Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label LearningShiyu Xia, Jiaqi Lv, Ning Xu 0009, Xin Geng. 3615-3621 [doi]
• Neuro-Symbolic Verification of Deep Neural NetworksXuan Xie, Kristian Kersting, Daniel Neider. 3622-3628 [doi]
• MultiQuant: Training Once for Multi-bit Quantization of Neural NetworksKe Xu, Qiantai Feng, Xingyi Zhang 0001, Dong Wang. 3629-3635 [doi]
• MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot LearningYi Xu 0005, Lichen Wang, Yizhou Wang 0006, Can Qin, Yulun Zhang, Yun Fu 0001. 3636-3642 [doi]
• Active Contrastive Set Mining for Robust Audio-Visual Instance DiscriminationHanyu Xuan, Yihong Xu, Shuo Chen 0002, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda. 3643-3649 [doi]
• On the (In)Tractability of Reinforcement Learning for LTL ObjectivesCambridge Yang, Michael L. Littman, Michael Carbin. 3650-3658 [doi]
• Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy EnsembleZhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian 0002, Weinan Zhang 0001, Dongsheng Li 0002. 3659-3665 [doi]
• Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer LearningYalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li 0001, Li Lu 0001. 3666-3672 [doi]
• Towards Safe Reinforcement Learning via Constraining Conditional Value-at-RiskChengyang Ying, Xinning Zhou, Hang Su 0006, Dong Yan, Ning Chen 0002, Jun Zhu 0001. 3673-3680 [doi]
• EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise AssessmentBruce X. B. Yu, Yan Liu 0004, Xiang Zhang, Gong Chen, Keith C. C. Chan. 3681-3687 [doi]
• Robust Weight Perturbation for Adversarial TrainingChaojian Yu, Bo Han 0003, Mingming Gong, Li Shen, Shiming Ge, Du Bo, Tongliang Liu. 3688-3694 [doi]
• Masked Feature Generation Network for Few-Shot LearningYunlong Yu, Dingyi Zhang, Zhong Ji. 3695-3701 [doi]
• Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement LearningZhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan 0003, Xueqian Wang 0001, Ping Luo, Huazhe Xu. 3702-3708 [doi]
• Improved Pure Exploration in Linear Bandits with No-Regret LearningMohammadi Zaki, Avi Mohan, Aditya Gopalan. 3709-3715 [doi]
• Model-Based Offline Planning with Trajectory PruningXianyuan Zhan, Xiangyu Zhu, Haoran Xu. 3716-3722 [doi]
• Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot LearningBaoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye. 3723-3729 [doi]
• Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal TransportJiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian. 3730-3736 [doi]
• Hierarchical Diffusion Scattering Graph Neural NetworkKe Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong. 3737-3743 [doi]
• Penalized Proximal Policy Optimization for Safe Reinforcement LearningLinrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao. 3744-3750 [doi]
• Next Point-of-Interest Recommendation with Inferring Multi-step Future PreferencesLu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang 0002, Yew-Soon Ong, Xinghua Qu. 3751-3757 [doi]
• Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data ClusteringYiqun Zhang, Yiu-ming Cheung, An Zeng. 3758-3765 [doi]
• Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence ClusteringYunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang. 3766-3772 [doi]
• Fusion Label Enhancement for Multi-Label LearningXingyu Zhao 0002, Yuexuan An, Ning Xu, Xin Geng. 3773-3779 [doi]
• Learning Mixtures of Random Utility Models with Features from Incomplete PreferencesZhibing Zhao, Ao Liu, Lirong Xia. 3780-3786 [doi]
• Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype ContrastBoqing Zhu, Kele Xu, Changjian Wang, Zheng Qin 0002, Tao Sun, Huaimin Wang, Yuxing Peng. 3787-3794 [doi]
• RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive LearningYun Zhu, Jianhao Guo, Fei Wu 0001, Siliang Tang. 3795-3801 [doi]
• Multi-Constraint Deep Reinforcement Learning for Smooth Action ControlGuangyuan Zou, Ying He 0006, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming 0001. 3802-3808 [doi]
• Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation ProcessesRui Cheng, Qing Li. 3810-3816 [doi]
• 3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based CaptchasXianwen Deng, Ruijie Zhao, Yanhao Wang, Libo Chen, Yijun Wang, Zhi Xue. 3817-3824 [doi]
• Placing Green Bridges Optimally, with Habitats Inducing CyclesMaike Herkenrath, Till Fluschnik, Francesco Grothe, Leon Kellerhals. 3825-3831 [doi]
• Membership Inference via BackdooringHongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang. 3832-3838 [doi]
• A Universal PINNs Method for Solving Partial Differential Equations with a Point SourceXiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen. 3839-3846 [doi]
• A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple IntersectionsTatsuya Iwase, Sebastian Stein 0001, Enrico H. Gerding, Archie Chapman. 3847-3853 [doi]
• Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication MethodQize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun 0008, Baihua Zheng. 3854-3860 [doi]
• Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time PredictionTakayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki. 3861-3867 [doi]
• Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled DataHarim Lee, Eunseon Seong, Dong-Kyu Chae. 3868-3876 [doi]
• Learning Curricula for Humans: An Empirical Study with Puzzles from The WitnessLevi H. S. Lelis, João G. G. V. Nova, Eugene Chen, Nathan R. Sturtevant, Carrie Demmans Epp, Michael Bowling. 3877-3883 [doi]
• Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired MoleculesChen Li, Chikashige Yamanaka, Kazuma Kaitoh, Yoshihiro Yamanishi. 3884-3890 [doi]
• Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving ObjectsKe Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao 0002. 3891-3897 [doi]
• Distilling Governing Laws and Source Input for Dynamical Systems from VideosLele Luan, Yang Liu, Hao Sun. 3898-3904 [doi]
• Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural NetworkAlex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam. 3905-3911 [doi]
• Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal ExecutionFeiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu. 3912-3918 [doi]
• Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction PredictionJiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang. 3919-3925 [doi]
• FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow ForecastingXuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han 0005. 3926-3932 [doi]
• Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to ParatransitAmutheezan Sivagnanam, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka. 3933-3939 [doi]
• Local Differential Privacy Meets Computational Social Choice - Resilience under Voter DeletionLiangde Tao, Lin Chen, Lei Xu, Weidong Shi. 3940-3946 [doi]
• Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data RevisitedYouming Tao, Yulian Wu, Xiuzhen Cheng 0001, Di Wang. 3947-3953 [doi]
• Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power SystemsXu Wan, Lanting Zeng, Mingyang Sun. 3954-3961 [doi]
• Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and RecommendationHeyuan Wang, Tengjiao Wang 0003, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen 0021. 3962-3969 [doi]
• Adaptive Long-Short Pattern Transformer for Stock Investment SelectionHeyuan Wang, Tengjiao Wang 0003, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen 0021. 3970-3977 [doi]
• Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-ConstrcutionTianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun 0001, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu. 3978-3984 [doi]
• Learnability of Competitive Threshold ModelsYifan Wang, Guangmo Tong. 3985-3991 [doi]
• Data-Efficient Backdoor Attacks