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EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching


Jul 20, 2022
Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu


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Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning


Jun 30, 2022
Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li

* 13 pages 

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Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning


Jun 06, 2022
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu


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Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters


May 19, 2022
Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu

* 20 pages, 10 figures, technical report 

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FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks


Oct 06, 2021
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu

* arXiv admin note: substantial text overlap with arXiv:2003.10758 

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Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks


Jul 14, 2021
Shaohuai Shi, Lin Zhang, Bo Li

* 11 pages. Accepted to IEEE ICDCS 2021 

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Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans


Feb 12, 2021
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

* Accepted by AAAI 2021, COVID-19, Neural Architecture Search, AutoML 

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Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters


Oct 20, 2020
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu

* 13 pages 

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Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges


May 27, 2020
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li

* 10 pages, 6 figures & tables. Code at: https://github.com/HKBU-HPML/ddl-benchmarks 

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