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Self-supervised Correlation Mining Network for Person Image Generation


Nov 29, 2021
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun


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BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


Nov 08, 2021
Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin


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Exponential Graph is Provably Efficient for Decentralized Deep Training


Oct 26, 2021
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin


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Decentralized Composite Optimization with Compression


Aug 12, 2021
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan


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Effective Model Sparsification by Scheduled Grow-and-Prune Methods


Jun 18, 2021
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie


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Accelerating Gossip SGD with Periodic Global Averaging


May 19, 2021
Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

* Accepted to ICML 2021 

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Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD


May 17, 2021
Kun Yuan, Sulaiman A. Alghunaim


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On the Comparison between Cyclic Sampling and Random Reshuffling


Apr 25, 2021
Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin


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DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training


Apr 24, 2021
Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin


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Incorporating Convolution Designs into Visual Transformers


Apr 20, 2021
Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu


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Differentiable Network Adaption with Elastic Search Space


Mar 30, 2021
Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li


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Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch


Feb 08, 2021
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

* ICLR2021 

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Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks


Oct 02, 2020
Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan

* 13 pages, 3 figures, 6 tables 

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Learning Connectivity of Neural Networks from a Topological Perspective


Aug 19, 2020
Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

* 17 pages, 5 figures, to be published in ECCV2020 

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Towards Good Practices for Instance Segmentation


Oct 28, 2019
Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang


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ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems and GANs


Jun 06, 2019
Ernest K. Ryu, Kun Yuan, Wotao Yin


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On the Performance of Exact Diffusion over Adaptive Networks


Mar 26, 2019
Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed

* 10 pages, 1 figure, submitted for publication 

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Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates


Oct 17, 2018
Lucas Cassano, Kun Yuan, Ali H. Sayed

* 28 pages, 3 figures 

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Stochastic Learning under Random Reshuffling with Constant Step-sizes


Oct 09, 2018
Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed


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Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling


May 29, 2018
Kun Yuan, Bicheng Ying, Jiageng Liu, Ali H. Sayed

* 23 pages, 12 figures, submitted for publication 

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Learning Under Distributed Features


May 29, 2018
Bicheng Ying, Kun Yuan, Ali H. Sayed


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Variance-Reduced Stochastic Learning under Random Reshuffling


Feb 16, 2018
Bicheng Ying, Kun Yuan, Ali H. Sayed


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On the Influence of Momentum Acceleration on Online Learning


Oct 12, 2016
Kun Yuan, Bicheng Ying, Ali H. Sayed

* 66 pages, 9 figures, to appear in Journal of Machine Learning Research, 2016 

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Online Dual Coordinate Ascent Learning


Feb 24, 2016
Bicheng Ying, Kun Yuan, Ali H. Sayed


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