Yuan, Kun

57 publications

ICML 2025 A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen

ICML 2025 Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-Stochastic Networks Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan

JMLR 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan

ICML 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold Yilong Song, Peijin Li, Bin Gao, Kun Yuan

ICML 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning Under Preference Guidance Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen

CoRL 2025 EndoVLA: Dual-Phase Vision-Language-Action for Precise Autonomous Tracking in Endoscopy Ng Chi Kit, Long Bai, Guankun Wang, Yupeng Wang, Huxin Gao, Kun Yuan, Chenhan Jin, Tieyong Zeng, Hongliang Ren

ICLR 2025 Enhancing Zeroth-Order Fine-Tuning for Language Models with Low-Rank Structures Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

NeurIPS 2025 Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin

CVPR 2025 KVQ: Boosting Video Quality Assessment via Saliency-Guided Local Perception Yunpeng Qu, Kun Yuan, Qizhi Xie, Ming Sun, Chao Zhou, Jian Wang

NeurIPS 2025 MISA: Memory-Efficient LLMs Optimization with Module-Wise Importance Sampling Yuxi Liu, Renjia Deng, Yutong He, Xue Wang, Tao Yao, Kun Yuan

CVPR 2025 MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments Ege Özsoy, Chantal Pellegrini, Tobias Czempiel, Felix Tristram, Kun Yuan, David Bani-Harouni, Ulrich Eck, Benjamin Busam, Matthias Keicher, Nassir Navab

NeurIPS 2025 MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization Rizhen Hu, Yutong He, Ran Yan, Mou Sun, Binhang Yuan, Kun Yuan

AAAI 2025 Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz

CVPRW 2025 NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Xin Li, Xijun Wang, Bingchen Li, Kun Yuan, Yizhen Shao, Suhang Yao, Ming Sun, Chao Zhou, Radu Timofte, Zhibo Chen

CVPRW 2025 NTIRE 2025 Challenge on Short-Form UGC Video Quality Assessment and Enhancement: Methods and Results Xin Li, Kun Yuan, Bingchen Li, Fengbin Guan, Yizhen Shao, Zihao Yu, Xijun Wang, Yiting Lu, Wei Luo, Suhang Yao, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Yabin Zhang, Ao-Xiang Zhang, Tianwu Zhi, Jianzhao Liu, Yang Li, Jingwen Xu, Yiting Liao, Yushen Zuo, Mingyang Wu, Renjie Li, Shengyun Zhong, Zhengzhong Tu, Yufan Liu, Xiangguang Chen, Zuowei Cao, Minhao Tang, Shan Liu, Kexin Zhang, Jingfen Xie, Yan Wang, Kai Chen, Shijie Zhao, Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Ying Liang, Yiwen Wang, Xinning Chai, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Rong Xie, Li Song, Wei Sun, Kang Fu, Linhan Cao, Dandan Zhu, Kaiwei Zhang, Yucheng Zhu, Zicheng Zhang, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Zhi Jin, Jiawei Wu, Wei Wang, Wenjian Zhang, Yuhai Lan, Gaoxiong Yi, Hengyuan Na, Wang Luo, Di Wu, Mingyin Bai, Jiawang Du, Zilong Lu, Zhenyu Jiang, Hui Zeng, Ziguan Cui, Zongliang Gan, Guijin Tang, Xinglin Xie, Kehuan Song, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen, Ha Thu Nguyen, Katrien De Moor, Seyed Ali Amirshahi, Mohamed-Chaker Larabi, Qi Tang, Linfeng He, Zhiyong Gao, Zixuan Gao, Guohua Zhang, Zhiye Huang, Yi Deng, Qingmiao Jiang, Lu Chen, Yi Yang, Xi Liao, Nourine Mohammed Nadir, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Meiqin Liu, Chao Yao, Yao Zhao

ICCV 2025 OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge

JMLR 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling

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 Subspace Optimization for Large Language Models with Convergence Guarantees Yutong He, Pengrui Li, Yipeng Hu, Chuyan Chen, Kun Yuan

ICML 2025 Visual Autoregressive Modeling for Image Super-Resolution Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou

ICML 2024 Distributed Bilevel Optimization with Communication Compression Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan

CVPR 2024 KVQ: Kwai Video Quality Assessment for Short-Form Videos Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen

ICLR 2024 Momentum Benefits Non-Iid Federated Learning Simply and Provably Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan

CVPRW 2024 NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel

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

CVPR 2024 PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild Kun Yuan, Hongbo Liu, Mading Li, Muyi Sun, Ming Sun, Jiachao Gong, Jinhua Hao, Chao Zhou, Yansong Tang

NeurIPS 2024 Procedure-Aware Surgical Video-Language Pretraining with Hierarchical Knowledge Augmentation Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

NeurIPS 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan

ECCV 2024 XPSR: Cross-Modal Priors for Diffusion-Based Image Super-Resolution Qu Yunpeng, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou

ICML 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

CVPR 2023 BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

ICML 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin

ICMLW 2023 On the Performance of Gradient Tracking with Local Updates Edward Duc Hien Nguyen, Sulaiman A Alghunaim, Kun Yuan, Cesar A Uribe

CVPR 2023 Quality-Aware Pre-Trained Models for Blind Image Quality Assessment Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen

JMLR 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD Kun Yuan, Sulaiman A. Alghunaim, Xinmeng Huang

NeurIPS 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? Yutong He, Xinmeng Huang, Kun Yuan

CVPRW 2023 Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment Kai Zhao, Kun Yuan, Ming Sun, Xing Wen

CVPR 2022 CHEX: CHannel EXploration for CNN Model Compression Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung

NeurIPS 2022 Communication-Efficient Topologies for Decentralized Learning with $o(1)$ Consensus Rate Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

ICLR 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie

NeurIPS 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

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

NeurIPSW 2022 Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks Xinmeng Huang, Kun Yuan

NeurIPS 2022 Revisiting Optimal Convergence Rate for Smooth and Non-Convex Stochastic Decentralized Optimization Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan

CVPR 2022 Self-Supervised Correlation Mining Network for Person Image Generation Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun

ICML 2021 Accelerating Gossip SGD with Periodic Global Averaging Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

NeurIPS 2021 An Improved Analysis and Rates for Variance Reduction Under Without-Replacement Sampling Orders Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin

ICCV 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

ICCV 2021 Differentiable Dynamic Wirings for Neural Networks Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

NeurIPS 2021 Exponential Graph Is Provably Efficient for Decentralized Deep Training Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin

ICCV 2021 Incorporating Convolution Designs into Visual Transformers Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu

ICLR 2021 Learning N:M Fine-Grained Structured Sparse Neural Networks from Scratch Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

ECCV 2020 Learning Connectivity of Neural Networks from a Topological Perspective Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

ECCV 2020 Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui

NeurIPS 2019 A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization Sulaiman Alghunaim, Kun Yuan, Ali H. Sayed

IJCAI 2018 SafeNet: Scale-Normalization and Anchor-Based Feature Extraction Network for Person Re-Identification Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan

JMLR 2016 On the Influence of Momentum Acceleration on Online Learning Kun Yuan, Bicheng Ying, Ali H. Sayed