Sheng-wei Chen
Research Assistant at 國立臺灣大學
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolSheng-wei Chen is a research-oriented machine learning engineer with 11 years of experience bridging mathematical rigor and practical systems work, currently pursuing a PhD at National Taiwan University under Prof. Chih-Jen Lin. His work spans recommender systems, extreme multi-label classification, and speeding up LLM inference, with recent publications at RecSys 2024 and EMNLP 2024. Previously he led optimization-focused deep learning research at HTC—co-authoring an AAAI-accepted second-order training method—and contributed to LIBSVM/LIBLINEAR maintenance and large-scale tree model analysis during his master’s. He combines theoretical strengths from applied mathematics with hands-on engineering for production-scale model training and inference, including contributions to LibMultiLabel. Known for seeking problems without standardized answers, he excels at formulating and solving novel ML optimization problems that tighten the gap between research and deployable systems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National Taiwan UniversityBachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at National Chengchi University
Github Skills (27)
liblinear10
libsvm10
multilabel-classification9
document-classification9
classification9
multiclass-classification9
optimization9
vector9
nlp8
text-classification7
machine-learning7
natural-language-processing7
deep-learning7
julia7
mutation7
Programming languages (4)
Github contributions (5)
cjlinautomata/comptheory
Sep 2020 - Feb 2025
Contributions:53 pushes in 4 years 6 months
will945945945/LibMultiLabel-SW
Oct 2024 - Nov 2024
Contributions:1 push, 1 branch in 26 days
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