Wang, Yu

217 publications

NeurIPS 2025 A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction Di Wen, Yu Wang, Zhigang Wu, Zhaocheng He, Zhe Wu, Zheng Qingfang

ICLR 2025 A Large-Scale Training Paradigm for Graph Generative Models Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr

CVPR 2025 ASIGN: An Anatomy-Aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

ICLR 2025 Accelerating Auto-Regressive Text-to-Image Generation with Training-Free Speculative Jacobi Decoding Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu

NeurIPS 2025 AgentRecBench: Benchmarking LLM Agent-Based Personalized Recommender Systems Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li

ICLRW 2025 An Empirical Study of Policy Interpolation via Diffusion Models Yuqing Xie, Chao Yu, Ya Zhang, Yu Wang

AAAI 2025 AnyTalk: Multi-Modal Driven Multi-Domain Talking Head Generation Yu Wang, Yunfei Liu, Fa-Ting Hong, Meng Cao, Lijian Lin, Yu Li

ICML 2025 Assessing Safety Risks and Quantization-Aware Safety Patching for Quantized Large Language Models Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

ICLRW 2025 CAPM: Fast and Robust Verification on Maxpool-Based CNN via Dual Network Jia-Hau Bai, Chi-Ting Liu, Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu

CVPR 2025 Continual SFT Matches Multimodal RLHF with Negative Supervision Ke Zhu, Yu Wang, Yanpeng Sun, Qiang Chen, Jiangjiang Liu, Gang Zhang, Jingdong Wang

ICCV 2025 DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image Jijun Xiang, Xuan Zhu, Xianqi Wang, Yu Wang, Hong Zhang, Fei Guo, Xin Yang

ICCV 2025 DLFR-Gen: Diffusion-Based Video Generation with Dynamic Latent Frame Rate Zhihang Yuan, Rui Xie, Yuzhang Shang, Hanling Zhang, Siyuan Wang, Shengen Yan, Guohao Dai, Yu Wang

ICCV 2025 DiTFastAttnV2: Head-Wise Attention Compression for Multi-Modality Diffusion Transformers Hanling Zhang, Rundong Su, Zhihang Yuan, Pengtao Chen, Mingzhu Shen, Yibo Fan, Shengen Yan, Guohao Dai, Yu Wang

ICLR 2025 Distilled Decoding 1: One-Step Sampling of Image Auto-Regressive Models with Flow Matching Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

NeurIPS 2025 Distilled Decoding 2: One-Step Sampling of Image Auto-Regressive Models with Conditional Score Distillation Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang

ICLR 2025 Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping Yue Yang, Shuibo Zhang, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo, Wenqi Shao

AAAI 2025 Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant" Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

ICML 2025 Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu

NeurIPS 2025 FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts Weihao Bo, Yanpeng Sun, Yu Wang, Xinyu Zhang, Zechao Li

ICLR 2025 Fine-Tuning with Reserved Majority for Noise Reduction Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

ICCV 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

NeurIPS 2025 Graphs Help Graphs: Multi-Agent Graph Socialized Learning Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Xinjie Yao, Qinghua Hu

ICCV 2025 HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery Yu Wang, Bo Dang, Wanchun Li, Wei Chen, Yansheng Li

AAAI 2025 Holistic Semantic Representation for Navigational Trajectory Generation Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song

ICLR 2025 Large Scale Knowledge Washing Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley

ICML 2025 Learning Event Completeness for Weakly Supervised Video Anomaly Detection Yu Wang, Shiwei Chen

JMLR 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang

ICML 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang

ICML 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang

ICLR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

ICCV 2025 Long-Tailed Classification with Multi-Granularity Semantics Yuting Liu, Liu Yang, Yu Wang

ICML 2025 M+: Extending MemoryLLM with Scalable Long-Term Memory Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian Mcauley, Dan Gutfreund, Rogerio Feris, Zexue He

CVPR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

CoRL 2025 Mastering Multi-Drone Volleyball Through Hierarchical Co-Self-Play Reinforcement Learning Ruize Zhang, Sirui Xiang, Zelai Xu, Feng Gao, Shilong Ji, Wenhao Tang, Wenbo Ding, Chao Yu, Yu Wang

ICLRW 2025 MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CVPRW 2025 NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan

CVPRW 2025 NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin

NeurIPS 2025 PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, SiQi Chen, Hongyu Zhu, Zhang Yichong, Yu Wang

ICML 2025 PEINR: A Physics-Enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu

TMLR 2025 Personalization of Large Language Models: A Survey Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang

NeurIPS 2025 Point4Bit: Post Training 4-Bit Quantization for Point Cloud 3D Detection Jianyu Wang, Yu Wang, Shengjie Zhao, Sifan Zhou

CVPR 2025 Probabilistic Prompt Distribution Learning for Animal Pose Estimation Jiyong Rao, Brian Nlong Zhao, Yu Wang

ICML 2025 Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

NeurIPS 2025 R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

CVPR 2025 Reducing Class-Wise Confusion for Incremental Learning with Disentangled Manifolds Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu

NeurIPS 2025 ReinFlow: Fine-Tuning Flow Matching Policy with Online Reinforcement Learning Tonghe Zhang, Chao Yu, Sichang Su, Yu Wang

TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

ICCV 2025 Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function Ruixuan Cong, Yu Wang, Mingyuan Zhao, Da Yang, Rongshan Chen, Hao Sheng

IJCAI 2025 Run like a Neural Network, Explain like K-Nearest Neighbor Xiaomeng Ye, David Leake, Yu Wang, David Crandall

CVPR 2025 SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion Xuan Zhu, Jijun Xiang, Xianqi Wang, Longliang Liu, Yu Wang, Hong Zhang, Fei Guo, Xin Yang

IJCAI 2025 Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng

ICML 2025 Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers Yu Wang, Mazdak Abulnaga, Yaël Balbastre, Bruce Fischl

ICLR 2025 Self-Updatable Large Language Models by Integrating Context into Model Parameters Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian McAuley

ICML 2025 Socialized Coevolution: Advancing a Better World Through Cross-Task Collaboration Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu

NeurIPS 2025 Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-Image Generation Yao Teng, Fu-Yun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou, Xihui Liu

NeurIPS 2025 StruDiCO: Structured Denoising Diffusion with Gradient-Free Inference-Stage Boosting for Memory and Time Efficient Combinatorial Optimization Yu Wang, Yang Li, Junchi Yan, Yi Chang

CVPRW 2025 SwinPaste: A Swin Transformer-Based Framework for RGB-Guided Thermal Image Super-Resolution Hang Zhong, Yu Wang, Shengjie Zhao

CVPR 2025 Take the Bull by the Horns: Learning to Segment Hard Samples Yuan Guo, Jingyu Kong, Yu Wang, Yuping Duan

CVPRW 2025 Thermal Image Super-Resolution Challenge Results - PBVS 2025 Rafael E. Rivadeneira, Ángel D. Sappa, Riad I. Hammoud, Jiyong Rao, Hang Zhong, Yu Wang, Shengjie Zhao, Zhiwei Zhong, Yung-Hui Li, Shiqi Wang, Qiangqiang Shen, Hanzhang Wang, Xuanqi Zhang

TMLR 2025 Towards LifeSpan Cognitive Systems Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian McAuley

AAAI 2025 Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr

ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

NeurIPS 2025 VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu, Ruize Zhang, Chao Yu, Huining Yuan, Xiangmin Yi, Shilong Ji, Chuqi Wang, Wenhao Tang, Feng Gao, Wenbo Ding, Xinlei Chen, Yu Wang

NeurIPS 2025 What Can RL Bring to VLA Generalization? an Empirical Study Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, Yi Wu, Chao Yu, Yu Wang

ICLR 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr

ICLR 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang

ECCVW 2024 ABAW7 Challenge: A Facial Affect Recognition Approach Based on Transformer Encoder and Multilayer Perceptron Xuxiong Liu, Kang Shen, Jun Yao, Boyan Wang, Yu Wang, Yujie Guan, Xin Liu, Gengchen Li, Liuwei An, Zishun Cui, Minrui Liu, Xiao Sun, Weijie Feng

AAAI 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

ECCV 2024 AdaShield: Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao

WACV 2024 Annotation-Free Audio-Visual Segmentation Jinxiang Liu, Yu Wang, Chen Ju, Chaofan Ma, Ya Zhang, Weidi Xie

AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang

NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? a Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

ECML-PKDD 2024 Code Summarization with Project-Specific Features Yu Wang, Xin Liu, Xuesong Lu, Aoying Zhou

TMLR 2024 Contrastive Learning with Consistent Representations Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li

ECCV 2024 Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector Yuqian Fu, Yu Wang, Yixuan Pan, Xingyu Qiu, Lian Huai, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang

AAAI 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

NeurIPS 2024 DiP-GO: A Diffusion Pruner via Few-Step Gradient Optimization Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Junhai Yong, Bin Wang, Emad Barsoum

NeurIPS 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang

AAAI 2024 Dynamic Sub-Graph Distillation for Robust Semi-Supervised Continual Learning Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu

AAAI 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

ICML 2024 Evaluating Quantized Large Language Models Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

AAAI 2024 Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu

AAAI 2024 Exploring Diverse Representations for Open Set Recognition Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu

TMLR 2024 Extreme Risk Mitigation in Reinforcement Learning Using Extreme Value Theory Karthik Somayaji Ns, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh M Halappanavar, Frank Liu, Peng Li

CVPR 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

NeurIPS 2024 Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo

AAAI 2024 H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion Yu Wang, Chao Tong

ECML-PKDD 2024 Hierarchical Fine-Grained Visual Classification Leveraging Consistent Hierarchical Knowledge Yuting Liu, Liu Yang, Yu Wang

ICML 2024 High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Yuxuan Yin, Yu Wang, Peng Li

ICML 2024 Interaction-Based Retrieval-Augmented Diffusion Models for Protein-Specific 3D Molecule Generation Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

ECML-PKDD 2024 Job Title Prediction as a Dual Task of Expertise Prediction in Open Source Software Xin Liu, Yu Wang, Qiwen Dong, Xuesong Lu

CVPR 2024 KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling Yu Wang, Xin Li, Shengzhao Weng, Gang Zhang, Haixiao Yue, Haocheng Feng, Junyu Han, Errui Ding

AAAI 2024 Knowledge Graph Prompting for Multi-Document Question Answering Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr

ECCV 2024 LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction Penghui Du, Yu Wang, Yifan Sun, Luting Wang, Yue Liao, Gang Zhang, Errui Ding, Yan Wang, Jingdong Wang, Si Liu

ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu

AAAI 2024 Leveraging Opposite Gender Interaction Ratio as a Path Towards Fairness in Online Dating Recommendations Based on User Sexual Orientation Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr

NeurIPSW 2024 LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization Rui Xie, Tianchen Zhao, Zhihang Yuan, Rui Wan, Wenxi Gao, Zhenhua Zhu, Xuefei Ning, Yu Wang

ICML 2024 MEMORYLLM: Towards Self-Updatable Large Language Models Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley

ECCV 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

L4DC 2024 On the Uniqueness of Solution for the Bellman Equation of LTL Objectives Zetong Xuan, Alper Bozkurt, Miroslav Pajic, Yu Wang

AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li

ECCV 2024 ParCo: Part-Coordinating Text-to-Motion Synthesis Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji

NeurIPS 2024 Persistence Homology Distillation for Semi-Supervised Continual Learning Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu

ICML 2024 Position: Towards Implicit Prompt for Text-to-Image Models Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo

CVPR 2024 PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

NeurIPS 2024 Rad-NeRF: Ray-Decoupled Training of Neural Radiance Field Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan Lin, Yu Wang

AAAI 2024 Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

ECML-PKDD 2024 Simple Graph Condensation Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng

ICLR 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

ICML 2024 Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu

AAAI 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

NeurIPS 2024 SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning Jiying Zhang, Zijing Liu, Yu Wang, Bin Feng, Yu Li

AAAI 2024 SuperJunction: Learning-Based Junction Detection for Retinal Image Registration Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng

NeurIPS 2024 TAIA: Large Language Models Are Out-of-Distribution Data Learners Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

NeurIPSW 2024 TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation Zongying Lin, Li Hao, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian

AAAI 2024 UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao

ICML 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian Mcauley, Zichao Yang, Eric P. Xing, Zhiting Hu

AAAI 2024 V2Meow: Meowing to the Visual Beat via Video-to-Music Generation Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk

NeurIPS 2024 WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr

NeurIPS 2024 What Matters in Graph Class Incremental Learning? an Information Preservation Perspective Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu

NeurIPSW 2024 What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search Xiao Liang, Xinyu Hu, Simiao Zuo, Jimi He, Yu Wang, Victor Ye Dong, Yeyun Gong, Kushal S. Dave, Yi Liu, Qiang Lou, Shao-Lun Huang, Jian Jiao

CVPR 2024 When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach Tao Ma, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang

AISTATS 2023 A Targeted Accuracy Diagnostic for Variational Approximations Yu Wang, Mikolaj Kasprzak, Jonathan H. Huggins

ICCV 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

AAAI 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

ICML 2023 Boosting Graph Contrastive Learning via Graph Contrastive Saliency Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang

CVPR 2023 DartBlur: Privacy Preservation with Detection Artifact Suppression Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang

ICCV 2023 Detecting Objects with Context-Likelihood Graphs and Graph Refinement Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek

NeurIPS 2023 Discover and Align Taxonomic Context Priors for Open-World Semi-Supervised Learning Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

CVPR 2023 Enhanced Multimodal Representation Learning with Cross-Modal KD Mengxi Chen, Linyu Xing, Yu Wang, Ya Zhang

AAAI 2023 Ensemble-in-One: Ensemble Learning Within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang

AAAI 2023 Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao, Yu Wang, Tyler Derr

CVPR 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

CVPR 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song

NeurIPSW 2023 Infusing Spatial Knowledge into Deep Learning for Earth Science: A Hydrological Application Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang

AAAI 2023 Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr

ICCV 2023 Isomer: Isomerous Transformer for Zero-Shot Video Object Segmentation Yichen Yuan, Yifan Wang, Lijun Wang, Xiaoqi Zhao, Huchuan Lu, Yu Wang, Weibo Su, Lei Zhang

NeurIPSW 2023 Knowledge Graph Prompting for Multi-Document Question Answering Yu Wang, Nedim Lipka, Ryan Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr

ICCV 2023 Learning Concise and Descriptive Attributes for Visual Recognition An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley

ICLR 2023 Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased Chao Yu, Jiaxuan Gao, Weilin Liu, Botian Xu, Hao Tang, Jiaqi Yang, Yu Wang, Yi Wu

AAAI 2023 LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

CVPRW 2023 MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results Qingpeng Zhu, Wenxiu Sun, Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qianhui Sun, Chen Change Loy, Jinwei Gu, Yi Yu, Yangke Huang, Kang Zhang, Meiya Chen, Yu Wang, Yongchao Li, Hao Jiang, Amrit Kumar Muduli, Vikash Kumar, Kunal Swami, Pankaj Kumar Bajpai, Yunchao Ma, Jiajun Xiao, Zhi Ling

AAAI 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

ICML 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

AAAI 2023 Online Semi-Supervised Learning with Mix-Typed Streaming Features Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

CVPR 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen

ICCV 2023 RealGraph: A Multiview Dataset for 4D Real-World Context Graph Generation Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang

ICCVW 2023 Relational Prior Knowledge Graphs for Detection and Instance Segmentation Osman Ülger, Yu Wang, Ysbrand Galama, Sezer Karaoglu, Theo Gevers, Martin R. Oswald

CVPR 2023 Spatial-Temporal Concept Based Explanation of 3D ConvNets Ying Ji, Yu Wang, Jien Kato

CVPRW 2023 TorchSparse++: Efficient Point Cloud Engine Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

CVPR 2023 Two-Stream Networks for Weakly-Supervised Temporal Action Localization with Semantic-Aware Mechanisms Yu Wang, Yadong Li, Hongbin Wang

ECCV 2022 CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

ECCV 2022 CenterFormer: Center-Based Transformer for 3D Object Detection Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh

CVPR 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer with Geometric Guidance Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang

CVPR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li, Yiran Chen

ICML 2022 Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

CVPR 2022 LAR-SR: A Local Autoregressive Model for Image Super-Resolution Baisong Guo, Xiaoyun Zhang, Haoning Wu, Yu Wang, Ya Zhang, Yan-Feng Wang

ECCV 2022 Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

NeurIPS 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei

ECCV 2022 SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

NeurIPS 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang

NeurIPS 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, Yi Wu

ICCV 2021 A Style and Semantic Memory Mechanism for Domain Generalization Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei

CVPR 2021 Adversarial Robustness Under Long-Tailed Distribution Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

AAAI 2021 Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang

ECML-PKDD 2021 CQNet: A Clustering-Based Quadruplet Network for Decentralized Application Classification via Encrypted Traffic Yu Wang, Gang Xiong, Chang Liu, Zhen Li, Mingxin Cui, Gaopeng Gou

NeurIPS 2021 Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess Reid McIlroy-Young, Yu Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson

ICLR 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu

CVPR 2021 Domain-Specific Suppression for Adaptive Object Detection Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu

NeurIPS 2021 Evaluating Efficient Performance Estimators of Neural Architectures Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang

UAI 2021 Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification Yu Wang, Yuesong Shen, Daniel Cremers

NeurIPS 2021 Improving Self-Supervised Learning with Automated Unsupervised Outlier Arbitration Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei

NeurIPSW 2021 Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

NeurIPS 2021 Meta-Learning with an Adaptive Task Scheduler Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

AAAI 2021 Mobile-Based Clock Drawing Test for Detecting Early Signs of Dementia Hongchao Jiang, Yanci Zhang, Zhiwei Zeng, Jun Ji, Yu Wang, Ying Chi, Chunyan Miao

ICML 2021 SG-PALM: A Fast Physically Interpretable Tensor Graphical Model Yu Wang, Alfred Hero

CVPR 2021 Track to Detect and Segment: An Online Multi-Object Tracker Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan

NeurIPS 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

ECCV 2020 A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang

AAAI 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control Yu Wang, Jack W. Stokes, Mady Marinescu

CoRL 2020 Attentional Separation-and-Aggregation Network for Self-Supervised Depth-Pose Learning in Dynamic Scenes Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang

IJCAI 2020 CooBa: Cross-Project Bug Localization via Adversarial Transfer Learning Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang

ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang

ECCV 2020 Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

AAAI 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang

NeurIPS 2020 Joint Contrastive Learning with Infinite Possibilities Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

NeurIPS 2020 Learning to Adapt to Evolving Domains Hong Liu, Mingsheng Long, Jianmin Wang, Yu Wang

ECCVW 2020 Shift Equivariance in Object Detection Marco Manfredi, Yu Wang

AISTATS 2020 The Sylvester Graphical Lasso (SyGlasso) Yu Wang, Byoungwook Jang, Alfred Hero

ICML 2020 UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon

JMLR 2020 Unique Sharp Local Minimum in L1-Minimization Complete Dictionary Learning Yu Wang, Siqi Wu, Bin Yu

NeurIPS 2019 A Debiased MDI Feature Importance Measure for Random Forests Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu

AAAI 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System Yu Wang, Hongxia Jin

ICCVW 2019 Augmentation Invariant Training Weicong Chen, Lu Tian, Liwen Fan, Yu Wang

WACV 2019 Good Choices for Deep Convolutional Feature Encoding Yu Wang, Jien Kato

NeurIPS 2019 Unified Language Model Pre-Training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon

JMLR 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models Bin Dai, Yu Wang, John Aston, Gang Hua, David Wipf

ICLR 2018 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally

IJCAI 2018 Deep Propagation Based Image Matting Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng

AAAI 2018 Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan

CVPRW 2017 A Counter-Forensic Method for CNN-Based Camera Model Identification David Guera, Yu Wang, Luca Bondi, Paolo Bestagini, Stefano Tubaro, Edward J. Delp

CVPRW 2017 Exploring the Granularity of Sparsity in Convolutional Neural Networks Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

IJCAI 2017 Fast Change Point Detection on Dynamic Social Networks Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy

UAI 2017 Green Generative Modeling: Recycling Dirty Data Using Recurrent Variational Autoencoders Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf

WACV 2017 Solving Occlusion Problem in Pedestrian Detection by Constructing Discriminative Part Layers Cong Cao, Yu Wang, Jien Kato, Guanwen Zhang, Kenji Mase

UAI 2015 Clustered Sparse Bayesian Learning Yu Wang, David P. Wipf, Jeong-Min Yun, Wei Chen, Ian J. Wassell

ICML 2015 Multi-Task Learning for Subspace Segmentation Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell

CVPRW 2013 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming Hyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, Mei Chen

IJCAI 2013 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong

ECCV 2012 Automatic Localization of Balloon Markers and Guidewire in Rotational Fluoroscopy with Application to 3D Stent Reconstruction Yu Wang, Terrence Chen, Peng Wang, Christopher Rohkohl, Dorin Comaniciu

ECCV 2012 Fast Regularization of Matrix-Valued Images Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein

CVPR 2011 Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam

AAAI 2011 Simulated Annealing Based Influence Maximization in Social Networks Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie

CVPR 2009 Switching Gaussian Process Dynamic Models for Simultaneous Composite Motion Tracking and Recognition Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji