Xiaowei Li
Professor at Chinese Academy of Sciences
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolXiaowei Li is a Professor and deputy executive director at the State Key Lab of Computer Architecture, ICT, Chinese Academy of Sciences, with over 25 years in academia and 11 years of focused experience in software and systems research. His research centers on VLSI testing and fault-tolerant computing, bridging theoretical foundations with practical implementations in dependable hardware and systems. He has a long teaching and mentoring record across top Chinese institutions and international collaborations, including visiting positions in Japan and Hong Kong. Beyond hardware-centric work, he contributes to deep learning tooling—adding models and improving core layers in the MatchZoo text-matching framework—showing versatility across ML and system-level research. Based in Haidian District, Beijing, he combines rigorous PhD-level training with hands-on engineering, often translating fault-tolerance theory into testable software artifacts. Colleagues describe him as steady and methodical—aptly summarized by his GitHub motto, "Keep calm and code on."
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Institute of Computing Technology, Chinese Academy of SciencesM.Eng, Computer Science, M.Eng, Computer Science at Hefei University of Technology
Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
keras10
deeplearning-ai10
deep-learning10
tensorflow10
python10
natural-language-processing10
modeling9
model-driven-development9
model-driven9
n9
machine-learning9
rnn-model9
model-building9
Programming languages (5)
Github contributions (5)
NTMC-Community/MatchZoo
Apr 2019 - Aug 2019
Facilitating the design, comparison and sharing of deep text matching models.
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 21 PRs, 20 pushes in 5 months
Contributions summary:Xiaowei's contributions primarily involve the development and modification of deep learning models within the MatchZoo framework. Their work includes adding a new model, Match-SRNN, along with related code, and updating and testing existing layers such as SpatialGRU and MatchingTensorLayer. These changes required modifications to existing code, the addition of test cases, and documentation updates. The user demonstrates a strong understanding of deep learning model implementation.
text-matchingmatchingdeep-learningneural-networknatural-language-processing
Chriskuei/FedMatch
Aug 2021 - Dec 2021
CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Contributions:12 commits, 10 pushes, 2 branches in 4 months
federated-learningquestion-answering
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