Shigang Li
Research Professor at Beijing University of Posts and Telecommunications
Urbana, Illinois, United States
Summary
👤
Senior🎓
Top SchoolShigang Li is a research-focused professor and parallel computing expert with 11+ years of experience building high-performance and heterogeneous deep learning systems across academia and industry. Currently a Research Professor at Beijing University of Posts and Telecommunications after a postdoc at ETH Zurich, he specializes in parallel and distributed deep learning, GPU-accelerated computing, MPI, and high-performance computing. His work has earned multiple best/Outstanding Paper nominations and awards (SC, PPoPP, HPDC, MLSys) and he contributes to the community as an associate editor, conference publications chair, and program committee member. Comfortable bridging theory and practice, he has industrial experience from Baidu’s Institute of Deep Learning and a joint PhD background from UIUC, lending him both systems-building chops and rigorous research depth.
11 years of coding experience
9 years of employment as a software developer
University of Illinois Urbana-ChampaignDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Science and Technology Beijing
Github Skills (49)
sgd10
caffe10
chimera10
machine-learning10
convergence10
bidirectional10
deep-learning10
fpga10
simulator9
vivado-hls9
robotics9
pytorch9
sparse9
stochastic9
scheme9
Programming languages (5)
Github contributions (5)
ParCIS/Chimera
Oct 2021 - Mar 2022
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.
Contributions:14 commits, 33 pushes, 3 branches in 4 months
pytorchtransformerschimeradeep-learningneural-networks
spcl/DNN-cpp-proxies
Sep 2021 - Jun 2022
Contributions:62 commits, 56 pushes, 1 branch in 9 months
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