IJCAI 2024
1048 papers
3D Vision and Language Pretraining with Large-Scale Synthetic Data
Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui A Conflict-Embedded Narrative Generation Using Commonsense Reasoning
Youngrok Song, Gunhee Cho, Hyunju Kim, Youngjune Kim, Byung-Chull Bae, Yun-Gyung Cheong A Dataset and Model for Realistic License Plate Deblurring
Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
Pierre Nunn, Marco Sälzer, François Schwarzentruber, Nicolas Troquard A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan A Strategic Analysis of Prepayments in Financial Credit Networks
Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge A Successful Strategy for Multichannel Iterated Prisoner's Dilemma
Zhen Wang, Zhaoheng Cao, Juan Shi, Peican Zhu, Shuyue Hu, Chen Chu A Survey of Data-Efficient Graph Learning
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu A Survey of Multimodal Sarcasm Detection
Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri A Survey on Cross-Domain Sequential Recommendation
Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming A Survey on Efficient Federated Learning Methods for Foundation Model Training
Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen A Survey on Model-Free Goal Recognition
Leonardo Amado, Sveta Paster Shainkopf, Ramon Fraga Pereira, Reuth Mirsky, Felipe Meneguzzi A Survey on Plan Optimization
Pascal Bercher, Patrik Haslum, Christian Muise A Survey on Rank Aggregation
Siyi Wang, Qi Deng, Shiwei Feng, Hong Zhang, Chao Liang A Swap Relaxation-Based Local Search for the Latin Square Completion Problem
Zhenxuan Xie, Zhipeng Lü, Zhouxing Su, Chu-Min Li, Junwen Ding, Yuxuan Wang A Systematic Survey on Federated Semi-Supervised Learning
Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King A Tensor-Based Formalization of the Event Calculus
Efthimis Tsilionis, Alexander Artikis, Georgios Paliouras A Top-Down Tree Model Counter for Quantified Boolean Formulas
Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes
Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill S. Lukyanov ABM: Attention Before Manipulation
Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun Adaptive Order Q-Learning
Tao Tan, Hong Xie, Defu Lian AESim: A Data-Driven Aircraft Engine Simulator
Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-Shot Segmentation
Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang Aggregation of Continuous Preferences in One Dimension
Alberto Del Pia, Dusan Knop, Alexandra Lassota, Krzysztof Sornat, Nimrod Talmon AMO-Aware Aggregates in Answer Set Programming
Mario Alviano, Carmine Dodaro, Salvatore Fiorentino, Marco Maratea An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong An Image-Enhanced Molecular Graph Representation Learning Framework
Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng An LLM-Enhanced Agent-Based Simulation Tool for Information Propagation
Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang Anytime Sorting Algorithms
Emma Caizergues, François Durand, Fabien Mathieu Are Logistic Models Really Interpretable?
Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni Attribution Quality Metrics with Magnitude Alignment
Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz AutoAgents: A Framework for Automatic Agent Generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi Automated CPU Design by Learning from Input-Output Examples
Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long BadFusion: 2D-Oriented Backdoor Attacks Against 3D Object Detection
Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan Balancing Multimodal Learning via Online Logit Modulation
Daoming Zong, Chaoyue Ding, Baoxiang Li, Jiakui Li, Ken Zheng Bandits with Concave Aggregated Reward
Yingqi Yu, Sijia Zhang, Shaoang Li, Lan Zhang, Wei Xie, Xiang-Yang Li BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Qinmei Xu, Zunnan Xu, Jingquan Liu, Jiasheng Lu, Xiu Li BeyondVision: An EMG-Driven Micro Hand Gesture Recognition Based on Dynamic Segmentation
Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su Boosting Single Positive Multi-Label Classification with Generalized Robust Loss
Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang Boundary-Aware Decoupled Flow Networks for Realistic Extreme Rescaling
Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion
Bohan Li, Yasheng Sun, Zhujin Liang, Dalong Du, Zhuanghui Zhang, Xiaofeng Wang, Yunnan Wang, Xin Jin, Wenjun Zeng Bring Metric Functions into Diffusion Models
Jie An, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Zicheng Liu, Lijuan Wang, Jiebo Luo Budget Feasible Mechanisms: A Survey
Xiang Liu, Hau Chan, Minming Li, Weiwei Wu CausVSR: Causality Inspired Visual Sentiment Recognition
Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning
Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei, Hongyu Zhou, Jianjian Sun, Yuang Peng, Runpei Dong, Chunrui Han, Xiangyu Zhang CMMU: A Benchmark for Chinese Multi-Modal Multi-Type Question Understanding and Reasoning
Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng CompetEvo: Towards Morphological Evolution from Competition
Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu Compilation and Fast Model Counting Beyond CNF
Alexis de Colnet, Stefan Szeider, Tianwei Zhang Computational Complexity of Verifying the Group No-Show Paradox
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia ComVas: Contextual Moral Values Alignment System
Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf Continual Learning with Pre-Trained Models: A Survey
Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan Continual Multimodal Knowledge Graph Construction
Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen Contract Scheduling with Distributional and Multiple Advice
Spyros Angelopoulos, Marcin Bienkowski, Christoph Dürr, Bertrand Simon Convexity Certificates for Symbolic Tensor Expressions
Paul Gerhardt Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen Cooperation and Control in Delegation Games
Oliver Sourbut, Lewis Hammond, Harriet Wood Correct and Optimal: The Regular Expression Inference Challenge
Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger Cross-Domain Feature Augmentation for Domain Generalization
Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu Cross-Problem Learning for Solving Vehicle Routing Problems
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu Cross-Talk Reduction
Zhong-Qiu Wang, Anurag Kumar, Shinji Watanabe Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction
Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video
Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager, Georgios Chochlakis, Aditya Kommineni, Ellie Graeden, Shrikanth Narayanan, Benjamin A. T. Grahama, Morteza Dehghani D3ETR: Decoder Distillation for Detection Transformer
Xiaokang Chen, Jiahui Chen, Yan Liu, Jiaxiang Tang, Gang Zeng DANCE: Dual-View Distribution Alignment for Dataset Condensation
Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge DarkFed: A Data-Free Backdoor Attack in Federated Learning
Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian Deep Hierarchical Graph Alignment Kernels
Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye Deep Neural Networks via Complex Network Theory: A Perspective
Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung Deploying Mobility-on-Demand for All by Optimizing Paratransit Services
Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Ayan Mukhopadhyay, Abhishek Dubey Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li DGCD: An Adaptive Denoising GNN for Group-Level Cognitive Diagnosis
Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai Diffusion Mask-Driven Visual-Language Tracking
Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shuxiang Song Digital Avatars: Framework Development and Their Evaluation
Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang Discriminative Feature Decoupling Enhancement for Speech Forgery Detection
Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin, Kewei Gao, Zunlei Feng Disentangling Domain and General Representations for Time Series Classification
Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection
Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov Drug Overdose Vital-Signs Evaluator Using Machine Learning
Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob S. Brenner, Nagarajan Kandasamy, Amanda Watson Dual Calibration-Based Personalised Federated Learning
Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li Dual Expert Distillation Network for Generalized Zero-Shot Learning
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval
Kaiming Liu, Yunhong Gong, Yu Cao, Zhenwen Ren, Dezhong Peng, Yuan Sun DWLR: Domain Adaptation Under Label Shift for Wearable Sensor
Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai, Lujia Pan Dynamic Weighted Graph Fusion for Deep Multi-View Clustering
Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang Dynamicity-Aware Social Bot Detection with Dynamic Graph Transformers
Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian Efficient Multi-View Unsupervised Feature Selection with Adaptive Structure Learning and Inference
Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng EMOTE: An Explainable Architecture for Modelling the Other Through Empathy
Manisha Senadeera, Thommen Karimpanal George, Stephan Jacobs, Sunil Gupta, Santu Rana Empathy and AI: Achieving Equitable Microtransit for Underserved Communities
Eleni Bardaka, Pascal Van Hentenryck, Crystal Chen Lee, Christopher B. Mayhorn, Kai Monast, Samitha Samaranayake, Munindar P. Singh Empowering Time Series Analysis with Large Language Models: A Survey
Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-Based Methods
Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu Enhancing Controlled Query Evaluation Through Epistemic Policies
Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing
Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng Enhancing Manufacturing with AI-Powered Process Design
Gianmarco Genalti, Gabriele Corbo, Tommaso Bianchi, Marco Missaglia, Luca Negri, Andrea Sala, Luca Magri, Giacomo Boracchi, Giovanni Miragliotta, Nicola Gatti Epistemic Logic Programs: Non-Ground and Counting Complexity
Thomas Eiter, Johannes Klaus Fichte, Markus Hecher, Stefan Woltran Equilibria in Two-Stage Facility Location with Atomic Clients
Simon Krogmann, Pascal Lenzner, Alexander Skopalik, Marc Uetz, Marnix C. Vos Evaluation of Project Performance in Participatory Budgeting
Niclas Boehmer, Piotr Faliszewski, Lukasz Janeczko, Dominik Peters, Grzegorz Pierczynski, Simon Schierreich, Piotr Skowron, Stanislaw Szufa EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting Exploiting Multi-Label Correlation in Label Distribution Learning
Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng Exploring the Role of Node Diversity in Directed Graph Representation Learning
Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu Extremal Separation Problems for Temporal Instance Queries
Jean Christoph Jung, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen Fair Distribution of Delivery Orders
Hadi Hosseini, Shivika Narang, Tomasz Was FairGT: A Fairness-Aware Graph Transformer
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li Fast One-Stage Unsupervised Domain Adaptive Person Search
Tianxiang Cui, Huibing Wang, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang Fast Unpaired Multi-View Clustering
Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta FasterVD: On Acceleration of Video Diffusion Models
Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang Federated Adaptation for Foundation Model-Based Recommendations
Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang Federated Multi-View Clustering via Tensor Factorization
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao Federated Prompt Learning for Weather Foundation Models on Devices
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen, Ruisheng Zhang, Cheng Wang Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan Formalisation and Evaluation of Properties for Consequentialist Machine Ethics
Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco Fostering Collective Action in Complex Societies Using Community-Based Agents
Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall From 2D to 3D: AISG-SLA Visual Localization Challenge
Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev From Pixels to Metal: AI-Empowered Numismatic Art
Penousal Machado, Tiago Martins, João Correia, Luís Espírito Santo, Nuno Lourenço, João Miguel Cunha, Sérgio Rebelo, Pedro Martins, João Bicker Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs
Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu, Zheng Qin G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang GEM: Generating Engaging Multimodal Content
Chongyang Gao, Yiren Jian, Natalia Denisenko, Soroush Vosoughi, V. S. Subrahmanian Generalized Taxonomy-Guided Graph Neural Networks
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang GenSeg: On Generating Unified Adversary for Segmentation
Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue GigaPevt: Multimodal Medical Assistant
Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia Gradformer: Graph Transformer with Exponential Decay
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu Graph Collaborative Expert Finding with Contrastive Learning
Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li Guide to Numerical Experiments on Elections in Computational Social Choice
Niclas Boehmer, Piotr Faliszewski, Lukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Grzegorz Pierczynski, Simon Rey, Dariusz Stolicki, Stanislaw Szufa, Tomasz Was GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin Guiding GBFS Through Learned Pairwise Rankings
Mingyu Hao, Felipe W. Trevizan, Sylvie Thiébaux, Patrick Ferber, Jörg Hoffmann Hacking Task Confounder in Meta-Learning
Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu Hierarchical Reinforcement Learning for Point of Interest Recommendation
Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis Through Self-Reform Critical Region Focusing
Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses
Abdoulatif Cissé, Xenophon Evangelopoulos, Sam Carruthers, Vladimir V. Gusev, Andrew I. Cooper Hypergraph Self-Supervised Learning with Sampling-Efficient Signals
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang Incorporating Schema-Aware Description into Document-Level Event Extraction
Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu Individual Causal Structure Learning from Population Data
Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract)
Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi Instance-Level Metalearning for Outlier Detection
Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz Instantiations and Computational Aspects of Non-Flat Assumption-Based Argumentation
Tuomo Lehtonen, Anna Rapberger, Francesca Toni, Markus Ulbricht, Johannes Peter Wallner InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models
Bing Han, Junyu Dai, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, Yanmin Qian, Xuchen Song Integrating View Conditions for Image Synthesis
Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou Integrating Vision-Language Semantic Graphs in Multi-View Clustering
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