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Kun Yuan
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2020 – today
- 2023
- [j60]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) - [j59]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): 42:1-42:28 (2023) - [i47]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 abs/2302.06294 (2023) - [i46]Kai Zhao, Kun Yuan, Ming Sun, Mading Li, Xing Wen:
Quality-aware Pre-trained Models for Blind Image Quality Assessment. CoRR abs/2303.00521 (2023) - [i45]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 abs/2303.08498 (2023) - [i44]Kai Zhao, Kun Yuan, Ming Sun, Xing Wen:
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment. CoRR abs/2304.06440 (2023) - [i43]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 abs/2304.12566 (2023) - [i42]Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. CoRR abs/2305.07612 (2023) - [i41]Yutong He, Xinmeng Huang, Kun Yuan:
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? CoRR abs/2305.16297 (2023) - 2022
- [j58]Yang Liu
, Tian Li
, Kun Yuan
, Sha Li:
Classifying Ships in SAR Images by Using Contour Bias Features and Transfer Learning. IEEE Access 10: 129949-129957 (2022) - [j57]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): 1276-1285 (2022) - [j56]Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee:
Anticipation for surgical workflow through instrument interaction and recognized Signals. Medical Image Anal. 82: 102611 (2022) - [j55]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): 4436-4448 (2022) - [j54]Sulaiman A. Alghunaim
, Kun Yuan
:
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. IEEE Trans. Signal Process. 70: 3264-3279 (2022) - [c67]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: 52 - [c66]Kun Yuan
, Cunbo Zhuang
, Jinshan Liu
, Jindan Feng
, Hui Xiong
, Jiancheng Shi
:
Nonlinear Kalman Filter Based Shop Floor RFID Data Fusion Algorithm. CSAE 2022: 53:1-53:7 - [c65]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: 950-966 - [c64]Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun:
Self-supervised Correlation Mining Network for Person Image Generation. CVPR 2022: 7693-7702 - [c63]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: 12277-12288 - [c62]Kun Yuan, Zhaoxian Wu, Qing Ling:
A Byzantine-Resilient Dual Subgradient Method for Vertical Federated Learning. ICASSP 2022: 4273-4277 - [c61]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 - [c60]Ke Zhang, Jun Yang, Kun Yuan, Qing-Song Wei, Si-Bao Chen:
Image Classification via Multi-branch Position Attention Network. ICPRAI (1) 2022: 96-108 - [c59]Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. NeurIPS 2022 - [c58]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 - [c57]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 - [i40]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 abs/2203.15794 (2022) - [i39]Zhuojie Wu, Xingqun Qi, Zijian Wang, Wanting Zhou, Kun Yuan, Muyi Sun, Zhenan Sun:
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks. CoRR abs/2204.02824 (2022) - [i38]Mert Gürbüzbalaban, Yuanhan Hu, Umut Simsekli, Kun Yuan, Lingjiong Zhu:
Heavy-Tail Phenomenon in Decentralized SGD. CoRR abs/2205.06689 (2022) - [i37]Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan:
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. CoRR abs/2206.03665 (2022) - [i36]Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe:
On the Performance of Gradient Tracking with Local Updates. CoRR abs/2210.04757 (2022) - [i35]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 abs/2210.07863 (2022) - [i34]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 abs/2210.07881 (2022) - [i33]Xinmeng Huang, Kun Yuan:
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks. CoRR abs/2211.00533 (2022) - 2021
- [j53]Liping Zhu, Bohua Wan
, Chengyang Li
, Gangyi Tian
, Yi Hou, Kun Yuan:
Dyadic relational graph convolutional networks for skeleton-based human interaction recognition. Pattern Recognit. 115: 107920 (2021) - [j52]Lucas Cassano
, Kun Yuan
, Ali H. Sayed
:
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. IEEE Trans. Autom. Control. 66(4): 1497-1512 (2021) - [j51]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): 2787-2794 (2021) - [c56]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: 72:1-72:7 - [c55]Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu:
Differentiable Dynamic Wirings for Neural Networks. ICCV 2021: 317-326 - [c54]Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu:
Incorporating Convolution Designs into Visual Transformers. ICCV 2021: 559-568 - [c53]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: 3009-3019 - [c52]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 - [c51]Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
Accelerating Gossip SGD with Periodic Global Averaging. ICML 2021: 1791-1802 - [c50]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: 1655-1659 - [c49]Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee:
Surgical Workflow Anticipation Using Instrument Interaction. MICCAI (4) 2021: 615-625 - [c48]Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin:
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders. NeurIPS 2021: 3232-3243 - [c47]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS 2021: 13975-13987 - [i32]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 abs/2102.04010 (2021) - [i31]Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu:
Incorporating Convolution Designs into Visual Transformers. CoRR abs/2103.11816 (2021) - [i30]Shaopeng Guo, Yujie Wang
, Kun Yuan, Quanquan Li:
Differentiable Network Adaption with Elastic Search Space. CoRR abs/2103.16350 (2021) - [i29]Kun Yuan, Yiming Chen
, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. CoRR abs/2104.11981 (2021) - [i28]Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin:
On the Comparison between Cyclic Sampling and Random Reshuffling. CoRR abs/2104.12112 (2021) - [i27]Kun Yuan, Sulaiman A. Alghunaim:
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. CoRR abs/2105.08023 (2021) - [i26]Yiming Chen
, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
Accelerating Gossip SGD with Periodic Global Averaging. CoRR abs/2105.09080 (2021) - [i25]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 abs/2106.09857 (2021) - [i24]Yao Li
, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan:
Decentralized Composite Optimization with Compression. CoRR abs/2108.04448 (2021) - [i23]Sulaiman A. Alghunaim, Kun Yuan:
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning. CoRR abs/2110.09993 (2021) - [i22]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR abs/2110.13363 (2021) - [i21]Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin:
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR abs/2111.04287 (2021) - [i20]Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun:
Self-supervised Correlation Mining Network for Person Image Generation. CoRR abs/2111.13307 (2021) - 2020
- [j50]Liping Zhu, Chengyang Li
, Bing Wang, Kun Yuan, Zhongguo Yang:
DCGSA: A global self-attention network with dilated convolution for crowd density map generating. Neurocomputing 378: 455-466 (2020) - [j49]Liping Zhu, Chengyang Li
, Zhongguo Yang, Kun Yuan, Shang Wang:
Crowd density estimation based on classification activation map and patch density level. Neural Comput. Appl. 32(9): 5105-5116 (2020) - [j48]Sulaiman A. Alghunaim
, Kun Yuan
, Ali H. Sayed
:
A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints. IEEE Trans. Autom. Control. 65(11): 4554-4567 (2020) - [j47]Kun Yuan
, Guannan Liu, Junjie Wu
, Hui Xiong:
Dancing with Trump in the Stock Market: A Deep Information Echoing Model. ACM Trans. Intell. Syst. Technol. 11(5): 62:1-62:22 (2020) - [j46]Bicheng Ying
, Kun Yuan
, Ali H. Sayed
:
Variance-Reduced Stochastic Learning Under Random Reshuffling. IEEE Trans. Signal Process. 68: 1390-1408 (2020) - [j45]Xianghui Mao
, Kun Yuan
, Yubin Hu, Yuantao Gu
, Ali H. Sayed
, Wotao Yin
:
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. IEEE Trans. Signal Process. 68: 2513-2528 (2020) - [j44]Kun Yuan
, Sulaiman A. Alghunaim
, Bicheng Ying
, Ali H. Sayed
:
On the Influence of Bias-Correction on Distributed Stochastic Optimization. IEEE Trans. Signal Process. 68: 4352-4367 (2020) - [j43]Kun Yuan
, Wei Xu
, Qing Ling
:
Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization? IEEE Trans. Signal Process. 68: 4466-4480 (2020) - [c46]Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui:
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation. ECCV (25) 2020: 52-68 - [c45]Kun Yuan
, Quanquan Li
, Jing Shao, Junjie Yan:
Learning Connectivity of Neural Networks from a Topological Perspective. ECCV (21) 2020: 737-753 - [c44]Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee:
RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. ICMLA 2020: 195-200 - [c43]Xu Yan, Kun Yuan, Weibing Zhao, Sheng Wang, Zhen Li, Shuguang Cui:
An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images. ISBI 2020: 333-336 - [i19]Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan:
Learning Connectivity of Neural Networks from a Topological Perspective. CoRR abs/2008.08261 (2020) - [i18]Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan:
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. CoRR abs/2010.01097 (2020)
2010 – 2019
- 2019
- [j42]Yu Li, Fengyuan Yu, Qian Cai, Kun Yuan, Renzhuo Wan, Xiaoying Li, Meiyu Qian, Pengfeng Liu, Junwen Guo, Juan Yu, Tian Zheng, Huan Yan, Peng Hou, Yiming Feng, Siyuan Wang, Lei Ding:
Image fusion of fault detection in power system based on deep learning. Clust. Comput. 22(Supplement): 9435-9443 (2019) - [j41]Yu Li, Meiyu Qian, Pengfeng Liu, Qian Cai, Xiaoying Li, Junwen Guo, Huan Yan, Fengyuan Yu, Kun Yuan, Juan Yu, Luman Qin, Hongxin Liu, Wan Wu, Peiyun Xiao, Ziwei Zhou:
The recognition of rice images by UAV based on capsule network. Clust. Comput. 22(Supplement): 9515-9524 (2019) - [j40]Kun Yuan, Guannan Liu, Junjie Wu:
Whose posts to read: Finding social sensors for effective information acquisition. Inf. Process. Manag. 56(4): 1204-1219 (2019) - [j39]Yao-Xiao Zhao, Meng-Yang Li
, Yiming Xiong, Shirin Rahmani, Kun Yuan, Rui-Sheng Zhao, Masahiro Ehara
, Shigeru Nagase, Xiang Zhao
:
Pivotal Role of Nonmetal Atoms in the Stabilities, Geometries, Electronic Structures, and Isoelectronic Chemistry of Sc3X@C80 (X = C, N, and O). J. Comput. Chem. 40(31): 2730-2738 (2019) - [j38]Yu Li, Kun Yuan, Qian Cai, Fengyuan Yu, Chengfeng Cai, Xiaoying Li, Pengfeng Liu, Meiyu Qian, Juan Yu, Xiaomei Peng, Hongguan Chen, Runtian Qin, Ziwei Wang, Nanxi Huang, Kongling Liu, Zhi Cheng:
Evolutionary bionic manipulator method based on capsule network. J. Intell. Fuzzy Syst. 37(4): 4677-4685 (2019) - [j37]Wenjun Bi
, Kaifeng Zhang
, Yaping Li, Kun Yuan, Ying Wang
:
Detection Scheme Against Cyber-Physical Attacks on Load Frequency Control Based on Dynamic Characteristics Analysis. IEEE Syst. J. 13(3): 2859-2868 (2019) - [j36]Bicheng Ying
, Kun Yuan
, Ali H. Sayed
:
Dynamic Average Diffusion With Randomized Coordinate Updates. IEEE Trans. Signal Inf. Process. over Networks 5(4): 753-767 (2019) - [j35]Kun Yuan
, Bicheng Ying
, Jiageng Liu
, Ali H. Sayed
:
Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling. IEEE Trans. Signal Process. 67(2): 351-366 (2019) - [j34]Bicheng Ying
, Kun Yuan
, Stefan Vlaski
, Ali H. Sayed
:
Stochastic Learning Under Random Reshuffling With Constant Step-Sizes. IEEE Trans. Signal Process. 67(2): 474-489 (2019) - [j33]Kun Yuan
, Bicheng Ying
, Xiaochuan Zhao, Ali H. Sayed
:
Exact Diffusion for Distributed Optimization and Learning - Part I: Algorithm Development. IEEE Trans. Signal Process. 67(3): 708-723 (2019) - [j32]Kun Yuan
, Bicheng Ying
, Xiaochuan Zhao, Ali H. Sayed
:
Exact Diffusion for Distributed Optimization and Learning - Part II: Convergence Analysis. IEEE Trans. Signal Process. 67(3): 724-739 (2019) - [j31]Bicheng Ying
, Kun Yuan
, Ali H. Sayed
:
Supervised Learning Under Distributed Features. IEEE Trans. Signal Process. 67(4): 977-992 (2019) - [c42]Yaohua Liu, Kun Yuan, Gang Wu, Zhi Tian, Qing Ling:
Decentralized Dynamic ADMM with Quantized and Censored Communications. ACSSC 2019: 1496-1500 - [c41]Wei Xu, Kun Yuan, Wotao Yin, Qing Ling:
On the Comparison between Primal and Primal-dual Methods in Decentralized Dynamic Optimization. ACSSC 2019: 1501-1505 - [c40]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CDC 2019: 4898-4903 - [c39]Lucas Cassano, Kun Yuan, Ali H. Sayed:
Distributed Value-Function Learning with Linear Convergence Rates. ECC 2019: 505-511 - [c38]Kun Yuan, Bicheng Ying, Ali H. Sayed:
COVER: A Cluster-based Variance Reduced Method for Online Learning. ICASSP 2019: 3102-3106 - [c37]Yaqing Zhao, Xin Shan, Wenjun Bi, Ying Wang, Kun Yuan, Kaifeng Zhang:
Extended Disturbance Observer Based Execution Adjustment Estimation Method of Dynamic Demand Response. ICCAIS 2019: 1-5 - [c36]Yangpeng Zhu, Jiabao He, Kun Yuan, Yanmei Yang:
Research on Modify Protection of Metrology Electronic Certificate Based on Blockchain Technology. ICCSE 2019: 1020-1024 - [c35]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. NeurIPS 2019: 2844-2854 - [c34]Yinping Li, Tianxu Jin, Li Liu, Kun Yuan:
Analysis of Charging Continuous Energy System and Stable Current Collection for Pantograph and Catenary of Pure Electric LHD. SOLI 2019: 44-49 - [i17]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CoRR abs/1903.10956 (2019) - [i16]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization. CoRR abs/1905.07996 (2019) - [i15]Ernest K. Ryu, Kun Yuan, Wotao Yin:
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs. CoRR abs/1905.10899 (2019) - [i14]Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang:
Towards Good Practices for Instance Segmentation. CoRR abs/1911.07939 (2019) - 2018
- [j30]Xuemei Dai, Kaifeng Zhang, Jian Geng, Qianqian Liu, Ying Wang, Kun Yuan, Yahui Qiao, Yonghui Liu:
Study on variability smoothing benefits of wind farm cluster. Turkish J. Electr. Eng. Comput. Sci. 26(4): 1894-1908 (2018) - [j29]Chunyu Chen
, Kaifeng Zhang
, Kun Yuan, Lingzhi Zhu, Minhui Qian:
Novel Detection Scheme Design Considering Cyber Attacks on Load Frequency Control. IEEE Trans. Ind. Informatics 14(5): 1932-1941 (2018) - [j28]Tianyu Wu, Kun Yuan
, Qing Ling
, Wotao Yin
, Ali H. Sayed:
Decentralized Consensus Optimization With Asynchrony and Delays. IEEE Trans. Signal Inf. Process. over Networks 4(2): 293-307 (2018) - [j27]Yu Li, Fengyuan Yu, Qian Cai, Meiyu Qian, Pengfeng Liu, Junwen Guo, Huan Yan, Kun Yuan, Juan Yu:
Design of Target Recognition System Based on Machine Learning Hardware Accelerator. Wirel. Pers. Commun. 102(2): 1557-1571 (2018) - [j26]Yu Li, Pengfeng Liu, Qian Cai, Junwen Guo, Ziwei Zhou, Huan Yan, Meiyu Qian, Fengyuan Yu, Kun Yuan, Juan Yu:
A Health Gateway for Mobile Monitoring in Nursing Home. Wirel. Pers. Commun. 102(2): 1573-1587 (2018) - [c33]Sulaiman A. Alghunaim, Kun Yuan, Ali H. Sayed:
Dual Coupled Diffusion for Distributed Optimization with Affine Constraints. CDC 2018: 829-834 - [c32]Bicheng Ying, Kun Yuan, Ali H. Sayed:
An Exponentially Convergent Algorithm for Learning Under Distributed Features. DSW 2018: 185-189 - [c31]Kun Yuan, Bicheng Ying, Ali H. Sayed:
Efficient Variance-Reduced Learning Over Multi-Agent Networks. EUSIPCO 2018: 415-419 - [c30]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Convergence of Variance-Reduced Learning Under Random Reshuffling. ICASSP 2018: 2286-2290 - [c29]Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan:
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification. IJCAI 2018: 1121-1127 - [i13]Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed:
Stochastic Learning under Random Reshuffling. CoRR abs/1803.07964 (2018) - [i12]Wotao Yin, Xianghui Mao, Kun Yuan, Yuantao Gu, Ali H. Sayed:
A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization. CoRR abs/1804.06568 (2018) - [i11]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Learning Under Distributed Features. CoRR abs/1805.11384 (2018) - [i10]Lucas Cassano, Kun Yuan, Ali H. Sayed:
Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates. CoRR abs/1810.07792 (2018) - [i9]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Dynamic Average Diffusion with randomized Coordinate Updates. CoRR abs/1810.08901 (2018) - 2017
- [j25]Kun Yuan
, Yewen Cao, Huanjing Zhang:
User scheduling based on angles with block diagonalization in MU-MIMO broadcast. Int. J. Commun. Syst. 30(15) (2017) - [j24]Kun Yuan, Rui-Sheng Zhao, Jia-Jia Zheng
, Hong Zheng, Shigeru Nagase, Sheng-Dun Zhao, Yan-Zhi Liu, Xiang Zhao
:
Van Der Waals heterogeneous layer-layer carbon nanostructures involving π···H-C-C-H···π···H-C-C-H stacking based on graphene and graphane sheets. J. Comput. Chem. 38(10): 730-739 (2017) - [c28]