Kun Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 186

Top Venues

CoRR

IEEE Trans. Signal Process.

NeurIPS

ICASSP

Publications

Kun Yuan, Hongbo Liu, Mading Li, Muyi Sun, Ming Sun, Jiachao Gong, Jinhua Hao, Chao Zhou, Yansong Tang
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild. CoRR (2024)
Ying Xue, Jianshan Sun, Yezheng Liu, Xin Li, Kun Yuan
Facial expression-enhanced recommendation for virtual fitting rooms. Decis. Support Syst. 177 (2024)
Huanpeng Chu, Wei Wu, Chengjie Zang, Kun Yuan
QNCD: Quantization Noise Correction for Diffusion Models. CoRR (2024)
Qingqing Yao, Kun Yuan, Mengyang Li, Yaoxiao Zhao, Yanzhi Liu, Xiang Zhao
Synergistic regulation of chloride anion recognition using a triple-functional sites receptor with two different cationic effectors. J. Comput. Chem. 45 (19, July) (2024)
Jianshan Sun, Qing Zhang, Kun Yuan, Yuanchun Jiang, Xinran Chen
A supervised contrastive learning-based model for image emotion classification. World Wide Web (WWW) 27 (3) (2024)
Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity. CoRR (2024)
Qizhi Xie, Kun Yuan, Yunpeng Qu, Mingda Wu, Ming Sun, Chao Zhou, Jihong Zhu
QPT V2: Masked Image Modeling Advances Visual Scoring. CoRR (2024)
Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. ICASSP (2024)
Jianshan Sun, Suyuan Mei, Kun Yuan, Yuanchun Jiang, Jie Cao
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen
KVQ: Kaleidoscope Video Quality Assessment for Short-form Videos. CoRR (2024)
Diwei Wang, Kun Yuan, Candice Müller, Frédéric Blanc, Nicolas Padoy, Hyewon Seo
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. CoRR (2024)
Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy
Advancing surgical VQA with scene graph knowledge. Int. J. Comput. Assist. Radiol. Surg. 19 (7) (2024)
Sulaiman A. Alghunaim, Kun Yuan
An enhanced gradient-tracking bound for distributed online stochastic convex optimization. Signal Process. 217 (2024)
Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition. CoRR (2024)
Elsa Rizk, Kun Yuan, Ali H. Sayed
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates. CoRR (2024)
Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution. CoRR (2024)
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, Jian 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
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CoRR (2024)
Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan
Momentum Benefits Non-iid Federated Learning Simply and Provably. ICLR (2024)
Ying Cao, Zhaoxian Wu, Kun Yuan, Ali H. Sayed
On the Trade-off between Flatness and Optimization in Distributed Learning. CoRR (2024)
Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu
CasSR: Activating Image Power for Real-World Image Super-Resolution. CoRR (2024)
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
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR (2024)
Yutong He, Xinmeng Huang, Kun Yuan
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? CoRR (2023)
Xuemei Wei, Ye-Zheng Liu, Jianshan Sun, Yuanchun Jiang, Qifeng Tang, Kun Yuan
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. CoRR (2023)
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89 (2023)
Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu
BEVHeight++: Toward Robust Visual Centric 3D Object Detection. CoRR (2023)
Hao Yuan, Sulaiman A. Alghunaim, Kun Yuan
Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Stochastic Optimization. CDC (2023)
Qiong Dai, Wei Ai, Kun Yuan, Min Jia, Jingwu Sun
Computed tomography image and mechanism of spiral neuron T-type calcification channel of elderly patient with senile sudden deafness under embedded system combined with artificial intelligence algorithm. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Luyao Guo, Sulaiman A. Alghunaim, Kun Yuan, Laurent Condat, Jinde Cao
RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization. CoRR (2023)
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML (2023)
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
On the Performance of Gradient Tracking with Local Updates. CDC (2023)
Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao Liu, Yu Lai, Shanshan Chen, Wenqi Wang, Haoning Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CoRR (2023)
Ziheng Cheng, Xinmeng Huang, Kun Yuan
Momentum Benefits Non-IID Federated Learning Simply and Provably. CoRR (2023)
Yutong He, Xinmeng Huang, Kun Yuan
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS (2023)
Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR (2023)
Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy
Advancing Surgical VQA with Scene Graph Knowledge. CoRR (2023)
Hongbo Liu, Mingda Wu, Kun Yuan, Ming Sun, Yansong Tang, Chuanchuan Zheng, Xing Wen, Xiu Li
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment. ACM Multimedia (2023)
Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen
Quality-aware Pre-trained Models for Blind Image Quality Assessment. CoRR (2023)
Kai Zhao, Kun Yuan, Ming Sun, Xing Wen
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. CoRR (2023)
Kai Zhao, Kun Yuan, Ming Sun, Xing Wen
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. CVPR Workshops (2023)
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML (2023)
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CoRR (2023)
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR (2023)
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR (2023)
Yang Liu, Kun Yuan, Tian Li, Sha Li
NDT Method for Weld Defects Based on FMPVit Transformer Model. IEEE Access 11 (2023)
Xun Chen, Kun Yuan, Jian Wang, Yongwei Wu
Spectrophotometer Design Using Single-Grating, Single-Sensor, Double-Beam Spectroscope. IEEE Trans. Instrum. Meas. 72 (2023)
Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen
Quality-aware Pretrained Models for Blind Image Quality Assessment. CVPR (2023)
Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR (2023)
Qing Zhang, Jianshan Sun, Kun Yuan, Yuanchun Jiang
An Image Emotion Classification Method Based on Supervised Contrastive Learning. DSC (2023)
Kun Yuan, Zishang Kong, Chuanchuan Zheng, Ming Sun, Xing Wen
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment. CoRR (2023)
Hongbo Liu, Mingda Wu, Kun Yuan, Ming Sun, Yansong Tang, Chuanchuan Zheng, Xing Wen, Xiu Li
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment. CoRR (2023)
Jing Yang, Kun Yuan, Suhao Chen, Qinglang Li, Shaobo Li, Xiuhua Zhang, Bin Li
A New Multinetwork Mean Distillation Loss Function for Open-World Domain Incremental Object Detection. Int. J. Intell. Syst. 2023 (2023)
Yi-Fan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR (2023)
Kun Yuan, Zishang Kong, Chuanchuan Zheng, Ming Sun, Xing Wen
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment. ACM Multimedia (2023)
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CVPR (2023)
Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong
Semantic and Structural View Fusion Modeling for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Kun Yuan, Cunbo Zhuang, Jinshan Liu, Jindan Feng, Hui Xiong, Jiancheng Shi
Nonlinear Kalman Filter Based Shop Floor RFID Data Fusion Algorithm. CSAE (2022)
Xinmeng Huang, Kun Yuan
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks. CoRR (2022)
Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee
Anticipation for surgical workflow through instrument interaction and recognized Signals. Medical Image Anal. 82 (2022)
Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization. CoRR (2022)
Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization. NeurIPS (2022)
Kun Yuan, Zhaoxian Wu, Qing Ling
A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. ICASSP (2022)
Sulaiman A. Alghunaim, Kun Yuan
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. IEEE Trans. Signal Process. 70 (2022)
Ke Zhang, Jun Yang, Kun Yuan, Qing-Song Wei, Si-Bao Chen
Image Classification via Multi-branch Position Attention Network. ICPRAI (1) (2022)
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
On the Performance of Gradient Tracking with Local Updates. CoRR (2022)
Kun Yuan, Meng-Yang Li, Yao-Xiao Zhao, Yanzhi Liu, Xiang Zhao
Composition-selective full inclusion host-guest interaction of azobenzene-containing photoresponsive nanoring with fullerene C60. J. Comput. Chem. 43 (19) (2022)
Yang Liu, Tian Li, Kun Yuan, Sha Li
Classifying Ships in SAR Images by Using Contour Bias Features and Transfer Learning. IEEE Access 10 (2022)
Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks. BMVC (2022)
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. CoRR (2022)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate. CoRR (2022)
Zhetong Ding, Kun Yuan, Junjian Qi, Ying Wang, Jiangyi Hu, Kaifeng Zhang
Robust and Cost-Efficient Coordinated Primary Frequency Control of Wind Power and Demand Response Based on Their Complementary Regulation Characteristics. IEEE Trans. Smart Grid 13 (6) (2022)
Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks. CoRR (2022)
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. NeurIPS (2022)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR (2022)
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun
Self-supervised Correlation Mining Network for Person Image Generation. CVPR (2022)
Mert Gürbüzbalaban, Yuanhan Hu, Umut Simsekli, Kun Yuan, Lingjiong Zhu
Heavy-Tail Phenomenon in Decentralized SGD. CoRR (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CoRR (2022)
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. NeurIPS (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CVPR (2022)
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
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops (2022)
Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
Accelerating Gossip SGD with Periodic Global Averaging. CoRR (2021)
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
Decentralized Composite Optimization with Compression. CoRR (2021)
Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders. NeurIPS (2021)
Md. Aminur Rab Ratul, Kun Yuan, Won-Sook Lee
CCX-rayNet: A Class Conditioned Convolutional Neural Network For Biplanar X-Rays to CT Volume. ISBI (2021)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR (2021)
Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee
Surgical Workflow Anticipation Using Instrument Interaction. MICCAI (4) (2021)
Jiapeng Zhang, Cunbo Zhuang, Jianhua Liu, Kun Yuan, Jin Zhang, Juan Liu
Digital Twin-Based Three-Dimensional Visual and Global Monitoring of Assembly Shop-Floor. CSAE (2021)
Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu
Differentiable Dynamic Wirings for Neural Networks. ICCV (2021)
Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR (2021)
Sulaiman A. Alghunaim, Ernest K. Ryu, Kun Yuan, Ali H. Sayed
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (6) (2021)
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun
Self-supervised Correlation Mining Network for Person Image Generation. CoRR (2021)
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. CoRR (2021)
Sulaiman A. Alghunaim, Kun Yuan
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. CoRR (2021)
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu
Incorporating Convolution Designs into Visual Transformers. ICCV (2021)
Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li
Differentiable Network Adaption with Elastic Search Space. CoRR (2021)
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS (2021)
Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. ICCV (2021)
Lucas Cassano, Kun Yuan, Ali H. Sayed
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (4) (2021)
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR (2021)
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. ICLR (2021)

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Publication Activity (10 Years)

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Kun Yuan