AAAI 2025
3486 papers
(Almost Full) EFX for Three (and More) Types of Agents
Pratik Ghosal, Vishwa Prakash Hv, Prajakta Nimbhorkar, Nithin Varma 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee 3SAT: A Simple Self-Supervised Adversarial Training Framework
Jiang Fang, Haonan He, Jiyan Sun, Jiadong Fu, Zhaorui Guo, Yinlong Liu, Wei Ma 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection
Fu Wang, Yanghao Zhang, Xiangyu Yin, Guangliang Cheng, Zeyu Fu, Xiaowei Huang, Wenjie Ruan A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han, Pei Huang, Minghao Liu, Feifei Ma, Jian Zhang A Comprehensive Evaluation on Event Reasoning of Large Language Models
Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Haiyan Zhao, Jia Li, Bin Liang, Chongyang Tao, Qun Liu, Kam-Fai Wong A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Minjie Zhu, Yichen Zhu, Ning Liu, Xin Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng A Computationally Grounded Framework for Cognitive Attitudes
Tiago de Lima, Emiliano Lorini, Elise Perrotin, François Schwarzentruber A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
Anna L. Trella, Kelly W. Zhang, Hinal Jajal, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy A Diffusion-Based Framework for Occluded Object Movement
Zheng-Peng Duan, Jiawei Zhang, Siyu Liu, Zheng Lin, Chun-Le Guo, Dongqing Zou, Jimmy S. J. Ren, Chongyi Li A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Shiwali Mohan, Wiktor Piotrowski, Roni Stern, Sachin Grover, Sookyung Kim, Jacob Le, Johan de Kleer, Yoni Sher A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection
Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné A Modal Logic of Optimality (Student Abstract)
James T. Oswald, Brandon Rozek, Thomas Macaulay Ferguson, Selmer Bringsjord A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm A New Adversarial Perspective for LiDAR-Based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo, Yu Zang, Siqi Shen, Cheng Wang A New Federated Learning Framework Against Gradient Inversion Attacks
Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu A Practical Approach to Causal Inference over Time
Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics
Jiaxin Qi, Yan Cui, Kailei Guo, Xiaomin Zhang, Jianqiang Huang, Gaogang Xie A Simple Graph Contrastive Learning Framework for Short Text Classification
Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan A Video-Grounded Dialogue Dataset and Metric for Event-Driven Activities
Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa, Zhi-Qi Cheng, Ken Fukuda, Teruko Mitamura A-VL: Adaptive Attention for Large Vision-Language Models
Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo, Huiyou Zhan, Ningkang Zhang, Chengchen Hu, Xiang-Yang Li A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen, Xinlong Ding, Jinlong Wang, Jinyuan Liu, Bochao Zou, Huimin Ma ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding Accessible, At-Home Detection of Parkinson's Disease via Multi-Task Video Analysis
Md. Saiful Islam, T. M. Tariq Adnan, Jan Freyberg, Sangwu Lee, Abdelrahman Abdelkader, Meghan Pawlik, Cathe Schwartz, Karen Jaffe, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
Botao Zhao, Xiaoyang Qu, Zuheng Kang, Junqing Peng, Jing Xiao, Jianzong Wang ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao, Takayuki Okatani, Masashi Sugiyama Active Geospatial Search for Efficient Tenant Eviction Outreach
Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik Active Reinforcement Learning Strategies for Offline Policy Improvement
Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang Adaptive Dual Guidance Knowledge Distillation
Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu Adaptive Guidance: Training-Free Acceleration of Conditional Diffusion Models
Angela Castillo, Jonas Kohler, Juan C. Pérez, Juan Pablo Pérez, Albert Pumarola, Bernard Ghanem, Pablo Arbeláez, Ali K. Thabet Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics
Shuxin Zhong, Kimberly Liu, Wenjun Lyu, Haotian Wang, Guang Wang, Yunhuai Liu, Tian He, Yu Yang, Desheng Zhang Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Guilin Zhu, Dongyue Wu, Changxin Gao, Runmin Wang, Weidong Yang, Nong Sang Adaptive-Grained Label Distribution Learning
Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test
Christina A. Bosch, Mary Cate Gustafson-Quiett, Samar Abu Hegly, Sarah Wharton, John Masla, Lydia Guterman, Calvin Macatantan, Eric Klopfer, Hal Abelson, Cynthia Breazeal Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
Guixu Lin, Muyao Niu, Qingtian Zhu, Zhengwei Yin, Zhuoxiao Li, Shengfeng He, Yinqiang Zheng Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories
Michael Desmond, Ja Young Lee, Ibrahim Ibrahim, James M. Johnson, Avirup Sil, Justin MacNair, Ruchir Puri Agentic AI for Digital Twin
Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
Jingkun An, Yinghao Zhu, Zongjian Li, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-Free Real-World Low-Light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding AGMixup: Adaptive Graph Mixup for Semi-Supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao AI-Generated Image Quality Assessment in Visual Communication
Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong AI-Powered Algorithm-Centric Quantum Processor Topology Design
Tian Li, Xiao-Yue Xu, Chen Ding, Tian-Ci Tian, Wei-You Liao, Shuo Zhang, He-Liang Huang AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia Aligning Language Models Using Follow-up Likelihood as Reward Signal
Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li All-in-One: Transferring Vision Foundation Models into Stereo Matching
Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang Alleviating Shifted Distribution in Human Preference Alignment Through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang ALLVB: All-in-One Long Video Understanding Benchmark
Xichen Tan, Yuanjing Luo, Yunfan Ye, Fang Liu, Zhiping Cai AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco An Application-Agnostic Automatic Target Recognition System Using Vision Language Models
Anthony Palladino, Dana Gajewski, Abigail Aronica, Patryk Deptula, Alexander Hamme, Seiyoung C. Lee, Jeff Muri, Todd Nelling, Michael A. Riley, Brian Wong, Margaret Duff An Exemplar-Based Framework for Chinese Text Recognition
Zhao Zhou, Xiangcheng Du, Yingbin Zheng, Xingjiao Wu, Cheng Jin An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control
Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang An LLM-Guided Tutoring System for Social Skills Training
Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, Alan Tay An Open-Ended Learning Framework for Opponent Modeling
Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas, Teemu Roos, Jari Laru, Matti Tedre AnalogCoder: Analog Circuit Design via Training-Free Code Generation
Yao Lai, Sungyoung Lee, Guojin Chen, Souradip Poddar, Mengkang Hu, David Z. Pan, Ping Luo Anatomical Knowledge Mining and Matching for Semi-Supervised Medical Multi-Structure Detection
Bin Pu, Liwen Wang, Jiewen Yang, Xingbo Dong, Benteng Ma, Zhuangzhuang Chen, Lei Zhao, Shengli Li, Kenli Li Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
Tianyidan Xie, Rui Ma, Qian Wang, Xiaoqian Ye, Feixuan Liu, Ying Tai, Zhenyu Zhang, Lanjun Wang, Zili Yi Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki Approximating Metric Magnitude of Point Sets
Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification
Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy Battu Are Expressive Models Truly Necessary for Offline RL?
Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan ARTICLE: Annotator Reliability Through In-Context Learning
Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone
Kate Candon, Nicholas C. Georgiou, Rebecca Ramnauth, Jessie Cheung, E. Chandra Fincke, Brian Scassellati Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson Association Pattern-Enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart de Keijzer, Tobias Galla, Stefanos Leonardos, Carmine Ventre AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye Asynchronous Federated Clustering with Unknown Number of Clusters
Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin Attack-Inspired Calibration Loss for Calibrating Crack Recognition
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li AttackBench: Evaluating Gradient-Based Attacks for Adversarial Examples
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas Attributive Reasoning for Hallucination Diagnosis of Large Language Models
Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
Soham Deshmukh, Shuo Han, Hazim T. Bukhari, Benjamin Elizalde, Hannes Gamper, Rita Singh, Bhiksha Raj Auditing and Enforcing Conditional Fairness via Optimal Transport
Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso Augmenting Sequential Recommendation with Balanced Relevance and Diversity
Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang Auto Encoding Neural Process for Multi-Interest Recommendation
Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery
Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao, Igal Brener, Laura P. Swiler, Rémi Dingreville, Prasad P. Iyer Backdoor Attack on Propagation-Based Rumor Detectors
Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou Balanced and Fair Partitioning of Friends
Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis, Dusan Knop, Simon Schierreich Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng, Xiangyu Li, Shihui Zheng, Hongliang Liang BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving
Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner, Fabian R. Pieroth, Barbara I. Wohlmuth BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han Biased Incomplete Multi-View Learning
Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
Yuxuan Liu, Hongda Sun, Wenya Guo, Xinyan Xiao, Cunli Mao, Zhengtao Yu, Rui Yan BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
Xiaolu Hou, Mingcheng Li, Dingkang Yang, Jiawei Chen, Ziyun Qian, Xiao Zhao, Yue Jiang, Jinjie Wei, Qingyao Xu, Lihua Zhang BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs
Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima BoolXAI: Explainable AI Using Expressive Boolean Formulas
Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Helmut G. Katzgraber Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
Long Peng, Yang Wang, Xin Di, Peizhe Xia, Xueyang Fu, Yang Cao, Zheng-Jun Zha Boosting Segment Anything Model Towards Open-Vocabulary Learning
Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Yingfei Sun, Zhenjun Han, Qi Tian Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao, Lv Tang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li Bootstrapped Reward Shaping
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni BotSim: LLM-Powered Malicious Social Botnet Simulation
Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave
Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castaño, Graham W. Taylor, Sedef Akinli Kocak Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards
Michaela Benk, Léane Wettstein, Nadine Schlicker, Florian von Wangenheim, Nicolas Scharowski CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
Xiaole Xian, Xilin He, Zenghao Niu, Junliang Zhang, Weicheng Xie, Siyang Song, Zitong Yu, Linlin Shen CALF: Aligning LLMs for Time Series Forecasting via Cross-Modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia Calibrating Large Language Models with Sample Consistency
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao CALM: Curiosity-Driven Auditing for Large Language Models
Xiang Zheng, Longxiang Wang, Yi Liu, Xingjun Ma, Chao Shen, Cong Wang CAMH: Advancing Model Hijacking Attack in Machine Learning
Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji CAMSIC: Content-Aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour Can Go AIs Be Adversarially Robust?
Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave Can LLMs Obfuscate Code? a Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur Can Students Beyond the Teacher? Distilling Knowledge from Teacher's Bias
Jianhua Zhang, Yi Gao, Ruyu Liu, Xu Cheng, Houxiang Zhang, Shengyong Chen Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
Youjia Wang, Yiwen Wu, Hengan Zhou, Hongyang Lin, Xingyue Peng, Jingyan Zhang, Yingsheng Zhu, Yingwenqi Jiang, Yatu Zhang, Lan Xu, Jingya Wang, Jingyi Yu Cascaded Diffusion Models for Virtual Try-on: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan, Lei Zhao, Wei Xing, Huaizhong Lin, Binkai Ou Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei, Shaobo Li, Dianhui Chu Certification of Speaker Recognition Models to Additive Perturbations
Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang Channel Merging: Preserving Specialization for Merged Experts
Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang Characterising Simulation-Based Program Equilibria
Emery Cooper, Caspar Oesterheld, Vincent Conitzer ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
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Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation
Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
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Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Miao Shang, Yu Zhou DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
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Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li, Yuzheng Wang, Zhaoyu Chen, Jiawei Chen, Jinjie Wei, Lihua Zhang Decentralized Convergence to Equilibrium Prices in Trading Networks
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Jinhee Park, Jisoo Park, Dagyeong Na, Junseok Kwon Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman Deep Graph Online Hashing for Multi-Label Image Retrieval
Yuan Cao, Xiangru Chen, Zifan Liu, Wenzhe Jia, Fanlei Meng, Jie Gui Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Jisoo Kim, Jungbin Cho, Joonho Park, Soonmin Hwang, Da Eun Kim, Geon Kim, Youngjae Yu Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki, Yishay Mansour DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo DepMGNN: Matrixial Graph Neural Network for Video-Based Automatic Depression Assessment
Zijian Wu, Leijing Zhou, Shuanglin Li, Changzeng Fu, Jun Lu, Jing Han, Yi Zhang, Zhuang Zhao, Siyang Song Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer Designing Characters with AI: An Art & AI Learning Activity
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Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Fangxun Shu, Hao Jiang, Linchao Zhu Detecting Music Performance Errors with Transformers
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Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li Diff-Shadow: Global-Guided Diffusion Model for Shadow Removal
Jinting Luo, Ru Li, Chengzhi Jiang, Xiaoming Zhang, Mingyan Han, Ting Jiang, Haoqiang Fan, Shuaicheng Liu DiffCLIP: Few-Shot Language-Driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang, Kai Jiang, Yunsong Li Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De Differentiable Information Enhanced Model-Based Reinforcement Learning
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Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
Yonghao Zhang, Qiang He, Yanguang Wan, Yinda Zhang, Xiaoming Deng, Cuixia Ma, Hongan Wang DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
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Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang Distances Between Top-Truncated Elections of Different Sizes
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Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi DocMamba: Efficient Document Pre-Training with State Space Model
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Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du DPLUT: Unsupervised Low-Light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding Dr. Tongue: Sign-Oriented Multi-Label Detection for Remote Tongue Diagnosis
Yiliang Chen, Steven SC Ho, Cheng Xu, Yao Jie Xie, Wing-Fai Yeung, Shengfeng He, Jing Qin DREAM: Decoupled Discriminative Learning with Bigraph-Aware Alignment for Semi-Supervised 2D-3D Cross-Modal Retrieval
Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors
Tianyu Huang, Haoze Zhang, Yihan Zeng, Zhilu Zhang, Hui Li, Wangmeng Zuo, Rynson W. H. Lau DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, Xingang Wang Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
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Xiongfei Su, Tianyi Zhu, Lina Liu, Zheng Chen, Yulun Zhang, Siyuan Li, Juntian Ye, Feihu Xu, Xin Yuan DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
Yun Wang, Jiahao Zheng, Chenghao Zhang, Zhanjie Zhang, Kunhong Li, Yongjian Zhang, Junjie Hu DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
Feng Han, Kai Chen, Chao Gong, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-Driven Pre-Binding Antigen
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Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang Dynamic Graph Learning with Static Relations for Credit Risk Assessment
Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao Dynamic Spectral Graph Anomaly Detection
Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu Dynamic-Width Speculative Beam Decoding for LLM Inference
Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun EBS-CFL: Efficient and Byzantine-Robust Secure Clustered Federated Learning
Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai ECLAIR: Enhanced Clarification for Interactive Responses
John Murzaku, Zifan Liu, Md. Mehrab Tanjim, Vaishnavi Muppala, Xiang Chen, Yunyao Li EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Pengyu Zhang, Xieyuanli Chen, Yuwei Chen, Beizhen Bi, Zhuo Xu, Tian Jin, Xiaotao Huang, Liang Shen EF2X Exists for Four Agents
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Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu Efficient 3D Recognition with Event-Driven Spike Sparse Convolution
Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks
Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck Efficient Language-Instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin, Junyang Liang, Runhao Zeng, Jianqiang Li Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown Efficient Self-Supervised Video Hashing with Selective State Spaces
Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene
Yixiong Huo, Guangfeng Jiang, Hongyang Wei, Ji Liu, Song Zhang, Han Liu, Xingliang Huang, Mingjie Lu, Jinzhang Peng, Dong Li, Lu Tian, Emad Barsoum ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han Eliminating Majority Illusion Is Easy
Jack Dippel, Max Dupré la Tour, April Niu, Sanjukta Roy, Adrian Vetta Emergence-Inspired Multi-Granularity Causal Learning
Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su, Xu Gao, Zheng Lv, Jiarui Zhang, Tianyuan Du, Guidong Wang, Yang Zhang Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst
Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu End-to-End Autonomous Driving Through V2X Cooperation
Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie Enhanced Denesity Peak Clustering for High-Dimensional Data
Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Liam Anthony Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen, Zhou Feng, Rui Zeng, Yuwen Pu, Chunyi Zhou, Yi Jiang, Yuyou Gan, Jinbao Li, Shouling Ji Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization
Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
Yeyuan Wang, Dehong Gao, Lei Yi, Linbo Jin, Jinxia Zhang, Libin Yang, Xiaoyan Cai Enhancing Implicit Neural Representations via Symmetric Power Transformation
Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge, Mingzi Wang, Zhi Wang Enhancing LLMs via High-Knowledge Data Selection
Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Hugo O. Sousa, Rúben Almeida, Purificação Silvano, Inês Cantante, Ricardo Campos, Alípio Mário Jorge Enhancing the Adversarial Robustness via Manifold Projection
Zhiting Li, Shibai Yin, Tai-Xiang Jiang, Yexun Hu, Jia-Mian Wu, Guowei Yang, Guisong Liu Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract)
Siddharth Narendra, Shubham Ojha, Aditya Narendra, Abhay Kshirsagar, Abhisek Mallick EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation
Hongwei Niu, Jie Hu, Jianghang Lin, Guannan Jiang, Shengchuan Zhang Epistemic Bellman Operators
Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng EvalAssist: LLM-as-a-Judge Simplified
Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati Evaluating Index-Based Treatment Allocation in Underresourced Communities
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang Evaluating Mathematical Reasoning Beyond Accuracy
Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions
Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar Evaluation and Incident Prevention in an Enterprise AI Assistant
Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang Even-if Explanations: Formal Foundations, Priorities and Complexity
Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna Event-Enhanced Blurry Video Super-Resolution
Dachun Kai, Yueyi Zhang, Jin Wang, Zeyu Xiao, Zhiwei Xiong, Xiaoyan Sun Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context
Harry Hughes, Michael Horton, Xinyu Wei, Harshala Gammulle, Clinton Fookes, Sridha Sridharan, Patrick Lucey EventPillars: Pillar-Based Efficient Representations for Event Data
Rui Fan, Weidong Hao, Juntao Guan, Lai Rui, Lin Gu, Tong Wu, Fanhong Zeng, Zhangming Zhu Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Alexander Jaus, Constantin Marc Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen EvHDR-GS: Event-Guided HDR Video Reconstruction with 3D Gaussian Splatting
Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan EvSTVSR: Event Guided Space-Time Video Super-Resolution
Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang ExcluIR: Exclusionary Neural Information Retrieval
Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu, Dexin Wang, Xiangzheng Zhang, Chengjie Sun, Jiajia Zhang Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner, Oleg Maksimov, Akiva Kleinerman, Charles Ortiz, Sarit Kraus Explanation Bottleneck Models
Shin'ya Yamaguchi, Kosuke Nishida Explicit Relational Reasoning Network for Scene Text Detection
Yuchen Su, Zhineng Chen, Yongkun Du, Zhilong Ji, Kai Hu, Jinfeng Bai, Xieping Gao Explicitly Guided Difficulty-Controllable Visual Question Generation
Jiayuan Xie, Mengqiu Cheng, Xinting Zhang, Yi Cai, Guimin Hu, Mengying Xie, Qing Li Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li Exploiting Multimodal Spatial-Temporal Patterns for Video Object Tracking
Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang, Xiangtai Li, Henghui Ding, Lu Qi, Jiangning Zhang, Yunhai Tong, Chen Change Loy, Shuicheng Yan Explore What LLM Does Not Know in Complex Question Answering
Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen Exploring Intrinsic Alignments Within Text Corpus
Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu Exploring Rationale Learning for Continual Graph Learning
Lei Song, Jiaxing Li, Qinghua Si, Shihan Guan, Youyong Kong Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective
Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman, Dirk Van Bruggen, Kc Cowan, Prithviraj Dasgupta, Erich Devendorf, Ben Edwards, Alex Fitts, Sunny Fugate, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang Exploring Vacant Classes in Label-Skewed Federated Learning
Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan Extract Free Dense Misalignment from CLIP
JeongYeon Nam, Jinbae Im, Wonjae Kim, Taeho Kil FaceMe: Robust Blind Face Restoration with Personal Identification
Siyu Liu, Zheng-Peng Duan, Jia Ouyang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo, Chongyi Li Facility Location Games with Optional Preferences: A Revisit
Xingchen Sha, Shuyu Bao, Hau Chan, Vincent Chau, Ken C. K. Fong, Minming Li Fair Division via the Cake-Cutting Share
Yannan Bai, Kamesh Munagala, Yiheng Shen, Ian Zhang Fair Division with Market Values
Siddharth Barman, Soroush Ebadian, Mohamad Latifian, Nisarg Shah Fair Division with Social Impact
Michele Flammini, Gianluigi Greco, Giovanna Varricchio Fair Federated Survival Analysis
Md Mahmudur Rahman, Sanjay Purushotham Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang Fair Training with Zero Inputs
Wenjie Pan, Jianqing Zhu, Huanqiang Zeng FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia Fairness Shields: Safeguarding Against Biased Decision Makers
Filip Cano, Thomas A. Henzinger, Bettina Könighofer, Konstantin Kueffner, Kaushik Mallik FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao Falcon Medical Visual Question Answering
Ameera Ali Bawazir, Hassan Alshanqiti, Kebin Wu, Fatima Albreiki Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
Stefano Bistarelli, Victor David, Pierre Monnin, Francesco Santini, Carlo Taticchi FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Xin Tan, Yuan Xie Feature Denoising Diffusion Model for Blind Image Quality Assessment
Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao Feature-Structure Adaptive Completion Graph Neural Network for Cold-Start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin Federated Assemblies
Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon Federated Causally Invariant Feature Learning
Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li Federated Foundation Models on Heterogeneous Time Series
Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang Federated Graph-Level Clustering Network
Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang, Xin Peng Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li Federated Unlearning with Gradient Descent and Conflict Mitigation
Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-Based Federated Learning
Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang, Xin Zheng, Chunmao Cai, Yingbo Wu Few-Shot, No Problem: Descriptive Continual Relation Extraction
Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
Jimeng Shi, Zeda Yin, Arturo S. Leon, Jayantha Obeysekera, Giri Narasimhan Fields of the World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, Xiaoyun Wang Fine-Tuning Language Models with Collaborative and Semantic Experts
Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Lei Zhang, Qiang Qu, Junyang Lin FIRM: Flexible Interactive Reflection ReMoval
Xiao Chen, Xudong Jiang, Yunkang Tao, Zhen Lei, Qing Li, Chenyang Lei, Zhaoxiang Zhang First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante First-Order Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji Flexible Sharpness-Aware Personalized Federated Learning
Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang, Guisong Liu FlexiTex: Enhancing Texture Generation via Visual Guidance
Dadong Jiang, Xianghui Yang, Zibo Zhao, Sheng Zhang, Jiaao Yu, Zeqiang Lai, Shaoxiong Yang, Chunchao Guo, Xiaobo Zhou, Zhihui Ke FloNa: Floor Plan Guided Embodied Visual Navigation
Jiaxin Li, Weiqi Huang, Zan Wang, Wei Liang, Huijun Di, Feng Liu Flow Factorization for Efficient Generative Flow Networks
Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan FLUE: Streamlined Uncertainty Estimation for Large Language Models
Shiqi Gao, Tianxiang Gong, Zijie Lin, Runhua Xu, Haoyi Zhou, Jianxin Li Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu FOCUS: Towards Universal Foreground Segmentation
Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu FoldToken: Learning Protein Language via Vector Quantization and Beyond
Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li Follow-Your-Click: Open-Domain Regional Image Animation via Motion Prompts
Yue Ma, Yingqing He, Hongfa Wang, Andong Wang, Leqi Shen, Chenyang Qi, Jixuan Ying, Chengfei Cai, Zhifeng Li, Heung-Yeung Shum, Wei Liu, Qifeng Chen Forecasting Competitions with Correlated Events
Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera
Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl Friends-MMC: A Dataset for Multi-Modal Multi-Party Conversation Understanding
Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Qun Liu, Dongyan Zhao FROC: Building Fair ROC from a Trained Classifier
Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar From Crayons to Code: AI-Driven Insights into a Child's Mental Health Through Drawings
Moomal Farhad, Mohammad Mehedy Masud, Aisha Alnaqbi, Rawan Mubarak, Aaisha Aladawi, Sara Alnaqbi From Words to Worth: Newborn Article Impact Prediction with LLM
Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
Lichen Bai, Zixuan Xiong, Hai Lin, Guangwei Xu, Xiangjin Xie, Ruijie Guo, Zhanhui Kang, Haitao Zheng, Hong-Gee Kim Fully Test-Time Adaptation for Tabular Data
Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yufeng Li Fully-Scalable Massively Parallel Algorithm for K-Center with Outliers
Di Wu, Qilong Feng, Junyu Huang, Jinhui Xu, Ziyun Huang, Jianxin Wang FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models
Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu Fuzzy Collaborative Reasoning
Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
Guanzhong Zeng, Jingjing Wang, Zefu Xu, Pengwei Yin, Wenqi Ren, Di Xie, Jiang Zhu GCD-Sampling: A General Cross-Scale Decoupled Sampling for Point Cloud
Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu GenAL: Generative Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu GenAuction: A Generative Auction for Online Advertising
Yuchao Ma, Ruohan Qian, Bingzhe Wang, Qi Qi, Wenqiang Liu, Qian Tang, Zhao Shen, Wei Zhong, Bo Shen, Yixin Su, Bin Zou, Wen Yi, Zhi Guo, Shuanglong Li, Lin Liu General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt Generalizing Constraint Models in Constraint Acquisition
Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns Generating Counterfactual Explanations Under Temporal Constraints
Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Massimiliano Ronzani Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
Tianlong Zhang, Zhe Xue, Adnan Mahmood, Junping Du, Yuchen Dong, Shilong Ou, Lang Feng, Ming-Hsuan Yang, Yuankai Qi Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks GenHMR: Generative Human Mesh Recovery
Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Srijan Das, Chen Chen Genomics Data Lossless Compression with (s, K)-Mer Encoding and Deep Neural Networks
Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu Geometry-Aware 3D Salient Object Detection Network
Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai GEONet: Global Enhancement and Optimization Network for Lane Detection
Suyang Xi, Yunhao Liu, Hong Ding, Mingshuo Wang, Zhenghan Chen, Xiaoxuan Liang GFlow: Recovering 4D World from Monocular Video
Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang GHOST: Gaussian Hypothesis Open-Set Technique
Ryan Rabinowitz, Steve Cruz, Manuel Günther, Terrance E. Boult GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction
Junyi Chen, Weicai Ye, Yifan Wang, Danpeng Chen, Di Huang, Wanli Ouyang, Guofeng Zhang, Yu Qiao, Tong He GIM: A Million-Scale Benchmark for Generative Image Manipulation Detection and Localization
Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries
Amir Yaghoubi Shahir, Tilemachos Charalampous, Mahsa Keramati, Fatemeh Movafagh, Uwe Glässer, Hans Wehn Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng Goal-Driven Reasoning in DatalogMTL with Magic Sets
Shaoyu Wang, Kaiyue Zhao, Dongliang Wei, Przemyslaw Andrzej Walega, Dingmin Wang, Hongming Cai, Pan Hu GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang GODDS: The Global Online Deepfake Detection System
Marco Postiglione, Julian Baldwin, Natalia Denisenko, Luke Fosdick, Chongyang Gao, Isabel Gortner, Chiara Pulice, Sarit Kraus, V. S. Subrahmanian Gradient Weight-Normalized Low-Rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang Graph Structure Refinement with Energy-Based Contrastive Learning
Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding, Baochang Zhang Graphic Design with Large Multimodal Model
Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang Guided Real Image Dehazing Using YCbCr Color Space
Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Ying Tai, Jun Li GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction
Zesong Yang, Ru Zhang, Jiale Shi, Zixiang Ai, Boming Zhao, Hujun Bao, Luwei Yang, Zhaopeng Cui GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
Heda Zuo, Weitao You, Junxian Wu, Shihong Ren, Pei Chen, Mingxu Zhou, Yujia Lu, Lingyun Sun Harmonious Music-Driven Group Choreography with Trajectory-Controllable Diffusion
Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Jixuan Ying, Jun Li, Jian Yang Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin HeGTa: Leveraging Heterogeneous Graph-Enhanced Large Language Models for Few-Shot Complex Table Understanding
Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-Task Learning
Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen Heterogeneous Graph Neural Network on Semantic Tree
Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili HFF-Tracker: A Hierarchical Fine-Grained Fusion Tracker for Referring Multi-Object Tracking
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Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran POI-Enhancer: An LLM-Based Semantic Enhancement Framework for POI Representation Learning
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao Point Cloud Mamba: Point Cloud Learning via State Space Model
Tao Zhang, Haobo Yuan, Lu Qi, Jiangning Zhang, Qianyu Zhou, Shunping Ji, Shuicheng Yan, Xiangtai Li PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, Shuicheng Yan PointRWKV: Efficient RWKV-like Model for Hierarchical Point Cloud Learning
Qingdong He, Jiangning Zhang, Jinlong Peng, Haoyang He, Xiangtai Li, Yabiao Wang, Chengjie Wang PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-Based Talking Head Synthesis
Yifan Xie, Tao Feng, Xin Zhang, Xiangyang Luo, Zixuan Guo, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu PokerBench: Training Large Language Models to Become Professional Poker Players
Richard Zhuang, Akshat Gupta, Richard Yang, Aniket Rahane, Zhengyu Li, Gopala Anumanchipalli Population Aware Diffusion for Time Series Generation
Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen Position-Aware Guided Point Cloud Completion with CLIP Model
Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing PowerMLP: An Efficient Version of KAN
Ruichen Qiu, Yibo Miao, Shiwen Wang, Yifan Zhu, Lijia Yu, Xiao-Shan Gao PRAGA: Prototype-Aware Graph Adaptive Aggregation for Spatial Multi-Modal Omics Analysis
Xinlei Huang, Zhiqi Ma, Dian Meng, Yanran Liu, Shiwei Ruan, Qingqiang Sun, Xubin Zheng, Ziyue Qiao Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs
Shinwoo An, Yeonsu Chang, Kyungjin Cho, O-joung Kwon, Myounghwan Lee, Eunjin Oh, Hyeonjun Shin Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia Predicting the Original Appearance of Damaged Historical Documents
Zhenhua Yang, Dezhi Peng, Yongxin Shi, Yuyi Zhang, Chongyu Liu, Lianwen Jin Prediction-Feedback DETR for Temporal Action Detection
Jihwan Kim, Miso Lee, Cheol-Ho Cho, Jihyun Lee, Jae-Pil Heo Prior-Guided Hierarchical Harmonization Network for Efficient Image Dehazing
Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan Privacy-and-Utility-Aware Publishing of Schedules
Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak, Arik Senderovich, Matthias Weidlich Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
Bin Lu, Xinyu Xiao, Changzhou Zhang, Yang Zhou, Zhiyu Xiang, Hangguan Shan, Eryun Liu Probabilistic Explanations for Linear Models
Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel Probabilistic Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall Probability-Density-Aware Semi-Supervised Learning
Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Yufan Shen, Chuwei Luo, Zhaoqing Zhu, Yang Chen, Qi Zheng, Zhi Yu, Jiajun Bu, Cong Yao Prompt Tuning in a Compact Attribute Space
Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang Prompt-Based Unifying Inference Attack on Graph Neural Networks
Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding PromptHaze: Prompting Real-World Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, Lei Zhu Proportionally Fair Makespan Approximation
Michal Feldman, Jugal Garg, Vishnu V. Narayan, Tomasz Ponitka Proportionally Fair Matching via Randomized Rounding
Sharmila Duppala, Nathaniel Grammel, Juan Luque, Calum MacRury, Aravind Srinivasan PROSAC: Provably Safe Certification for Machine Learning Models Under Adversarial Attacks
Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition
Zonglin Li, Xiaoqian Lv, Qinglin Liu, Quanling Meng, Xin Sun, Shengping Zhang ProtCLIP: Function-Informed Protein Multi-Modal Learning
Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
Kun Li, Dan Guo, Guoliang Chen, Chunxiao Fan, Jingyuan Xu, Zhiliang Wu, Hehe Fan, Meng Wang PSReg: Prior-Guided Sparse Mixture of Experts for Point Cloud Registration
Xiaoshui Huang, Zhou Huang, Yifan Zuo, Yongshun Gong, Chengdong Zhang, Deyang Liu, Yuming Fang PUBLICSPEAK: Hearing the Public with a Probabilistic Framework
Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins Pushing the Limits of BFP on Narrow Precision LLM Inference
Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang PVTree: Realistic and Controllable PaLM Vein Generation for Recognition Tasks
Sheng Shang, Chenglong Zhao, Ruixin Zhang, Jianlong Jin, Jingyun Zhang, Rizen Guo, Shouhong Ding, Yunsheng Wu, Yang Zhao, Wei Jia QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform
Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi, Nathan Herr, Campbell D. Watson, Geeth De Mel QORT-Former: Query-Optimized Real-Time Transformer for Understanding Two Hands Manipulating Objects
Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh, Mubarrat Tajoar Chowdhury, Muhammadjon Boboev, Seungryul Baek Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu Quantified Linear and Polynomial Arithmetic Satisfiability via Template-Based Skolemization
Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Harshit J. Motwani, Maximilian Seeliger, Dorde Zikelic Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Shuyang Dong, Meiyi Ma, Josephine Lamp, Sebastian G. Elbaum, Matthew B. Dwyer, Lu Feng Quantum Best Arm Identification with Quantum Oracles
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception
Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
Augustin Godinot, Erwan Le Merrer, Camilla Penzo, François Taïani, Gilles Trédan Query Quantized Neural SLAM
Sijia Jiang, Jing Hua, Zhizhong Han R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration
Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu RAGG: Retrieval-Augmented Grasp Generation Model
Zhenhua Tang, Bin Zhu, Yanbin Hao, Chong-Wah Ngo, Richang Hong RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu Re-Attentional Controllable Video Diffusion Editing
Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan ReactGPT: Understanding of Chemical Reactions via In-Context Tuning
Zhe Chen, Zhe Fang, Wenhao Tian, Zhaoguang Long, Changzhi Sun, Yuefeng Chen, Hao Yuan, Honglin Li, Man Lan Realistic Noise Synthesis with Diffusion Models
Qi Wu, Mingyan Han, Ting Jiang, Chengzhi Jiang, Jinting Luo, Man Jiang, Haoqiang Fan, Shuaicheng Liu Rebalancing Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks
Xiyao Liu, Junxing Ma, Xinda Wang, Qianyu Lin, Jian Zhang, Gerald Schaefer, Cagatay Turkay, Hui Fang Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato Reducing Leximin Fairness to Utilitarian Optimization
Eden Hartman, Yonatan Aumann, Avinatan Hassidim, Erel Segal-Halevi ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
Jiashu Yao, Heyan Huang, Zeming Liu, Haoyu Wen, Wei Su, Boao Qian, Yuhang Guo Region-Based Optimization in Continual Learning for Audio Deepfake Detection
Yujie Chen, Jiangyan Yi, Cunhang Fan, Jianhua Tao, Yong Ren, Siding Zeng, Chu Yuan Zhang, Xinrui Yan, Hao Gu, Jun Xue, Chenglong Wang, Zhao Lv, Xiaohui Zhang Reinforcement Learning Platform for Adversarial Black-Box Attacks with Custom Distortion Filters
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Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra Relaxed Rotational Equivariance via G-Biases in Vision
Zhiqiang Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin, Xian Wei ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
Xunzhi Xiang, Haiwei Xue, Zonghong Dai, Di Wang, Minglei Li, Ye Yue, Fei Ma, Weijiang Yu, Heng Chang, Fei Richard Yu Replicating Electoral Success
Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander, Jon M. Kleinberg ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Marius Belly, Nathanaël Fijalkow, Hugo Gimbert, Florian Horn, Guillermo A. Pérez, Pierre Vandenhove Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking
Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li, Yuyang Yin, Bo Li, Xi Chen, Xin Xin Revisiting CAD Model Generation by Learning Raster Sketch
Pu Li, Wenhao Zhang, Jianwei Guo, Jinglu Chen, Dong-Ming Yan Revisiting Interpolation for Noisy Label Correction
Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Ruiyi Su, Jian Zhang, Shubo Liu, Steve Drew RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
Qikai Chang, Mingjun Chen, Changpeng Pi, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du, Baocai Yin, Jinshui Hu Riemann-Based Multi-Scale Attention Reasoning Network for Text-3D Retrieval
Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu, Xingtao Wang, Xiaopeng Fan Riemannian Geometric-Based Meta Learning
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Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang RLLTE: Long-Term Evolution Project of Reinforcement Learning
Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang Robust Multi-Objective Preference Alignment with Online DPO
Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi Robust SAM: On the Adversarial Robustness of Vision Foundation Models
Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
Ruitao Pu, Yuan Sun, Yang Qin, Zhenwen Ren, Xiaomin Song, Huiming Zheng, Dezhong Peng Robust Tracking via Mamba-Based Context-Aware Token Learning
Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo
Jianfei Jiang, Liyong Wang, Haochen Yu, Tianyu Hu, Jiansheng Chen, Huimin Ma RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?
Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Nektar Ege Altintoprak, Lena Baur, Samantha Claudet, Pavel Gajdusek, Qilong Gu, Anna Kaminska, Tomasz Kaminski, Ruby Kuo, Akiko Kyuba, Jongho Lee, Kartik Mathur, Petter Merok, Ivana Milovanovic, Nani Paananen, Vesa-Matti Paananen, Anna Pavlenko, Bruno Pereira Vidal, Luciano Ivan Strika, Yueh Tsao, Davide Turcato, Oleksandr Vakhno, Judit Velcsov, Anna Vickers, Stéphanie F. Visser, Herdyan Widarmanto, Andrey Zaikin, Si-Qing Chen S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
Yimu Pan, Sitao Zhang, Alison D. Gernand, Jeffery A. Goldstein, James Z. Wang S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
Gui Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra SAFIRE: Segment Any Forged Image Region
Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, Changick Kim Sample Complexity of Linear Regression Models for Opinion Formation in Networks
Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Kumar S. Vullikanti, Omer Wasim, Haifeng Xu SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang Qi, Jinxuan Li, Jian-Fang Hu Scaling Trends for Data Poisoning in LLMs
Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection
Marzieh Bitaab, Alireza Karimi, Zhuoer Lyu, Ahmadreza Mosallanezhad, Adam Oest, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé Scenario-Based Robust Optimization of Tree Structures
Spyros Angelopoulos, Christoph Dürr, Alex Elenter, Georgii Melidi Scene Graph-Grounded Image Generation
Fuyun Wang, Tong Zhang, Yuanzhi Wang, Xiaoya Zhang, Xin Liu, Zhen Cui SceneX: Procedural Controllable Large-Scale Scene Generation
Mengqi Zhou, Yuxi Wang, Jun Hou, Shougao Zhang, Yiwei Li, Chuanchen Luo, Junran Peng, Zhaoxiang Zhang SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang, Hanzhi Zhong, Xijun Zhao, Ruina Dang, Peng Xu, Tianyu Pu, Eryun Liu SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren, Chengyu Huang, Jingyi Yu, Lan Xu SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu, Qingsong Xie, Tianxiang Ye, Zhijie Deng, Chen Chen, Shixiang Tang, Xueyang Fu, Haonan Lu, Zheng-Jun Zha ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si, Xiaoxiao Hu, Zhenxing Qian ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Suranjana Samanta, Prateeti Mohapatra, Debanjana Kar, Ruchi Mahindru, Steve Barbieri, Eugen Postea, Brad Blancett, Arthur De Magalhaes SEAL: Systematic Error Analysis for Value ALignment
Manon Revel, Matteo Cargnelutti, Tyna Eloundou, Greg Leppert SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu SECodec: Structural Entropy-Based Compressive Speech Representation Codec for Speech Language Models
Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision
Maoji Zheng, Ziyu Xu, Qiming Xia, Hai Wu, Chenglu Wen, Cheng Wang Segment Any 3D Gaussians
Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian Selective Uncertainty Propagation in Offline RL
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi Selective Visual Prompting in Vision Mamba
Yifeng Yao, Zichen Liu, Zhenyu Cui, Yuxin Peng, Jiahuan Zhou SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi Self-Prompting Analogical Reasoning for UAV Object Detection
Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, Xiatian Zhu Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
Mingtao Feng, Fenghao Tian, Jianqiao Luo, Zijie Wu, Weisheng Dong, Yaonan Wang, Ajmal Saeed Mian Semi-Supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
Duc-Hai Pham, Duc Dung Nguyen, Anh Pham, Tuan Ho, Phong Nguyen, Khoi Nguyen, Rang Nguyen Semi-Supervised Clustering Framework for Fine-Grained Scene Graph Generation
Jiarui Yang, Chuan Wang, Jun Zhang, Shuyi Wu, Jinjing Zhao, Zeming Liu, Liang Yang Semi-Supervised Online Cross-Modal Hashing
Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Yilong Yin SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
Chen Chen, Liangjin Zhao, Yuanchun He, Yingxuan Long, Kaiqiang Chen, Zhirui Wang, Yanfeng Hu, Xian Sun Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Hyun-kyu Ko, Dongheok Park, Youngin Park, Byeonghyeon Lee, Juhee Han, Eunbyung Park SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li Shield Synthesis for LTL Modulo Theories
Andoni Rodríguez, Guy Amir, Davide Corsi, César Sánchez, Guy Katz ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Wangyu Xue, Chen Qian, Jiayi Wu, Yang Zhou, Wentao Liu, Ju Ren, Siming Fan, Yaoxue Zhang SIGMA: Selective Gated Mamba for Sequential Recommendation
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
Zirong Chen, Elizabeth Chason, Noah Mladenovski, Erin Wilson, Kristin Mullen, Stephen Martini, Meiyi Ma SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Zhongquan Jian, Yanhao Chen, Jiajian Li, Shaopan Wang, Xiangjian Zeng, Junfeng Yao, Xinying An, Qingqiang Wu Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Haoran Li, Yulin Chen, Zihao Zheng, Qi Hu, Chunkit Chan, Heshan Liu, Yangqiu Song Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin Single Character Perturbations Break LLM Alignment
Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models
Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich Single Image Rolling Shutter Removal with Diffusion Models
Zhanglei Yang, Haipeng Li, Mingbo Hong, Chen-Lin Zhang, Jiajun Li, Shuaicheng Liu Single-View Image to Novel-View Generation for Hand-Object Interactions
Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero, Yiren Zhou, Jiankang Deng, Hyung Jin Chang, Jifei Song Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion
Li Liang, Naveed Akhtar, Jordan Vice, Xiangrui Kong, Ajmal Saeed Mian SlerpFace: Face Template Protection via Spherical Linear Interpolation
Zhizhou Zhong, Yuxi Mi, Yuge Huang, Jianqing Xu, Guodong Mu, Shouhong Ding, Jingyun Zhang, Rizen Guo, Yunsheng Wu, Shuigeng Zhou SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu, Chiou-Ting Hsu SMamba: Sparse Mamba for Event-Based Object Detection
Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang SNAP: Semantic Stories for Next Activity Prediction
Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang, Ke Liang, Yanyi Huang, Xiang Zeng, Kai Chen, Bin Zhou SocialSim: Towards Socialized Simulation of Emotional Support Conversation
Zhuang Chen, Yaru Cao, Guanqun Bi, Jincenzi Wu, Jinfeng Zhou, Xiyao Xiao, Si Chen, Hongning Wang, Minlie Huang Solving Multiagent Path Finding on Highly Centralized Networks
Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler, Tung Anh Vu SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
Chenyu Yang, Shuai Wang, Hangting Chen, Jianwei Yu, Wei Tan, Rongzhi Gu, Yaoxun Xu, Yizhi Zhou, Haina Zhu, Haizhou Li SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding SPACETIME: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken Spatial Annealing for Efficient Few-Shot Neural Rendering
Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao, Wei Chen, Boyan Shi, Liyong Zhou, Shuohao Lin, Huaiyu Wan SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
Yingying Jiao, Zhigang Wang, Sifan Wu, Shaojing Fan, Zhenguang Liu, Zhuoyue Xu, Zheqi Wu Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Derek Palmer, Yifan Zhu, Kenneth Lai, Hannah VanderHoeven, Mariah Bradford, Ibrahim Khebour, Carlos Mabrey, Jack Fitzgerald, Nikhil Krishnaswamy, Martha Palmer, James Pustejovsky Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
Ziyang Ma, Guanrou Yang, Yifan Yang, Zhifu Gao, Jiaming Wang, Zhihao Du, Fan Yu, Qian Chen, Siqi Zheng, Shiliang Zhang, Xie Chen Speech Watermarking with Discrete Intermediate Representations
Shengpeng Ji, Ziyue Jiang, Jialong Zuo, Minghui Fang, Yifu Chen, Tao Jin, Zhou Zhao Speed Master: Quick or Slow Play to Attack Speaker Recognition
Zhe Ye, Wenjie Zhang, Ying Ren, Xiangui Kang, Diqun Yan, Bin Ma, Shiqi Wang SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis
Yi Shi, Yun-Kai Wang, Xu-Peng Tian, Tie-Yi Zhang, Bing Yao, Hui Wang, Yong Shao, Cen-Cen Wang, Rong Zeng Spiking Point Transformer for Point Cloud Classification
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Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue Training on the Benchmark Is Not All You Need
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Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu UniDet3D: Multi-Dataset Indoor 3D Object Detection
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PeiYuan Tang, Xiaodong Zhang, Chunze Yang, Haoran Yuan, Jun Sun, Danfeng Shan, Zijiang James Yang Unlocking the Power of LSTM for Long Term Time Series Forecasting
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Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang Unsupervised Translation of Emergent Communication
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Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention
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Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin, Burak Satar, Mike Zheng Shou, Qianli Xu VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
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Hang Zhou, Jiale Cai, Yuteng Ye, Yonghui Feng, Chenxing Gao, Junqing Yu, Zikai Song, Wei Yang Video Diffusion Models Are Strong Video Inpainter
Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee Video Repurposing from User Generated Content: A Large-Scale Dataset and Benchmark
Yongliang Wu, Wenbo Zhu, Jiawang Cao, Yi Lu, Bozheng Li, Weiheng Chi, Zihan Qiu, Lirian Su, Haolin Zheng, Jay Wu, Xu Yang VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning
Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller, Jae Kun Shim, Aniket Bera Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li Visual Perturbation for Text-Based Person Search
Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression
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Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan Weighted Embeddings for Low-Dimensional Graph Representation
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