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Dr. Shigang Li is currently a Postdoctoral Researcher in Department of Computer Science, ETH Zurich since Aug. 2018. His research interests include parallel computing, high performance computing, and parallel and distributed deep learning systems. He received the Bachelor’s degree majored in Computer Science and the Ph.D degree majored in Computer Architecture from University of Science and Technology Beijing, in 2009 and 2014, respectively. He has been a joint Ph.D student in Department of Computer Science, University of Illinois at Urbana-Champaign from Sep. 2011 to Sep. 2013. He has been an Assistant Professor in State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences from 2014 to 2018. He got the Best Paper Nominations in SC’21, PPoPP’20 and HPDC’13, and Outstanding Paper of MLSys’21. He has served as the PC members in top conferences (e.g., SC, PPoPP, IPDPS, IEEE Cluster, ICPP, HPC China, etc.) and the invited reviewers in prestigious journals (e.g., IEEE TPDS, IEEE TSC, IEEE TBD, JPDC, etc.). He is the Associate Editor of Cluster Computing (Springer), and has been the Publications Chair of IISWC’20 and the Workshop Co-Chair of ICS’18. He is an Executive Committee Member of CCF TCHPC, and an Executive Committee Member of ACM SIGHPC China Chapter. He is a member of ACM and IEEE, and a senior member of CCF.
|PPoPP 2020||Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations|
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