Sun, Tao

55 publications

ICLR 2025 Backdooring Vision-Language Models with Out-of-Distribution Data Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

CVPR 2025 Investigating the Role of Weight Decay in Enhancing Nonconvex SGD Tao Sun, Yuhao Huang, Li Shen, Kele Xu, Bao Wang

ICLR 2025 McEval: Massively Multilingual Code Evaluation Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, JinKe, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Noah Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhaoxiang Zhang, Zhoujun Li

NeurIPS 2025 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Ziyu Ye, Bowei Xia, Tao Sun, Zhaoxuan Jin, Yingru Li, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li

NeurIPS 2025 On the Stability and Generalization of Meta-Learning: The Impact of Inner-Levels Wenjun Ding, Jingling Liu, Lixing Chen, Xiu Su, Tao Sun, Fan Wu, Zhe Qu

WACV 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen

NeurIPS 2025 Rectified Point Flow: Generic Point Cloud Pose Estimation Tao Sun, Liyuan Zhu, Shengyu Huang, Shuran Song, Iro Armeni

JMLR 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD Under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration Tao Sun, Xinwang Liu, Kun Yuan

ICML 2025 Reward-Augmented Data Enhances Direct Preference Alignment of LLMs Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang

ICLRW 2025 Reward-Augmented Data Enhances Direct Preference Alignment of LLMs Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang

NeurIPS 2025 SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu

ICML 2025 Targeted Low-Rank Refinement: Enhancing Sparse Language Models with Precision Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao

CoRL 2025 WoMAP: World Models for Embodied Open-Vocabulary Object Localization Tenny Yin, Zhiting Mei, Tao Sun, Ola Sho, Anirudha Majumdar, Emily Zhou, Jeremy Bao, Miyu Yamane, Lihan Zha

AAAI 2025 XCOT: Cross-Lingual Instruction Tuning for Cross-Lingual Chain-of-Thought Reasoning Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xinnian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li

ICLR 2024 $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

ICLR 2024 Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning Haowen Wang, Tao Sun, Congyun Jin, Yingbo Wang, Yibo Fan, Yunqi Xu, Yuliang Du, Cong Fan

IJCAI 2024 Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1 Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu

CVPRW 2024 NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang

CVPRW 2024 NTIRE 2024 Challenge on Short-Form UGC Video Quality Assessment: Methods and Results Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu

CVPRW 2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

NeurIPS 2024 RoleAgent: Building, Interacting, and Benchmarking High-Quality Role-Playing Agents from Scripts Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang

ICML 2024 Stability and Generalization for Stochastic Recursive Momentum-Based Algorithms for (Strongly-)Convex One to $k$-Level Stochastic Optimizations Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu

NeurIPS 2024 Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li, Xicheng Lu

CVPRW 2024 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

NeurIPSW 2023 $\mathcal{B}$-Coder: On Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

CVPR 2023 Backdoor Cleansing with Unlabeled Data Lu Pang, Tao Sun, Haibin Ling, Chao Chen

AAAI 2023 Domain Adaptation with Adversarial Training on Penultimate Activations Tao Sun, Cheng Lu, Haibin Ling

ICCV 2023 Local Context-Aware Active Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling

ICML 2023 Momentum Ensures Convergence of SIGNSGD Under Weaker Assumptions Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang

TMLR 2023 Pairwise Learning with Adaptive Online Gradient Descent Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang

ICLRW 2023 Removing Backdoor Behaviors with Unlabeled Data Lu Pang, Tao Sun, Haibin Ling, Chao Chen

AAAI 2023 Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li

ICML 2022 Adaptive Random Walk Gradient Descent for Decentralized Optimization Tao Sun, Dongsheng Li, Bao Wang

NeurIPS 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks Tao Sun, Dongsheng Li, Bao Wang

CVPRW 2022 NTIRE 2022 Challenge on Perceptual Image Quality Assessment Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari

ICML 2022 On the Practicality of Deterministic Epistemic Uncertainty Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari

ECCV 2022 Prior Knowledge Guided Unsupervised Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling

CVPR 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu

CVPR 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling

IJCAI 2022 Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng

ICML 2021 REPAINT: Knowledge Transfer in Deep Reinforcement Learning Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya

AAAI 2021 Stability and Generalization of Decentralized Stochastic Gradient Descent Tao Sun, Dongsheng Li, Bao Wang

NeurIPS 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar

NeurIPS 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results Under General Scheme Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao

IJCAI 2019 Heavy-Ball Algorithms Always Escape Saddle Points Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou

AAAI 2019 Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang

IJCAI 2019 Three-Quarter Sibling Regression for Denoising Observational Data Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich

NeurIPS 2018 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen, Georgios Giannakis, Tao Sun, Wotao Yin

NeurIPS 2018 On Markov Chain Gradient Descent Tao Sun, Yuejiao Sun, Wotao Yin

CVPRW 2018 Stacked U-Nets with Multi-Output for Road Extraction Tao Sun, Zehui Chen, Wenxiang Yang, Yin Wang

NeurIPS 2017 Asynchronous Coordinate Descent Under More Realistic Assumptions Tao Sun, Robert Hannah, Wotao Yin

ICML 2017 Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau

ICML 2015 Message Passing for Collective Graphical Models Tao Sun, Dan Sheldon, Akshat Kumar

ICML 2013 Approximate Inference in Collective Graphical Models Daniel Sheldon, Tao Sun, Akshat Kumar, Tom Dietterich

JMLR 2006 Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss Di-Rong Chen, Tao Sun