Tiansheng Huang
PhD Candidate
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolTiansheng Huang is a fourth-year PhD candidate in Computer Science at Georgia Tech specializing in distributed machine learning, parallel and distributed computing, and ML safety for foundation models. With nine years of industry and research experience, he has interned at Google DeepMind, Dolby Laboratories, and JD.com working on topics such as federated learning compression and optimization. His work bridges theoretical systems research and practical model safety concerns, reflecting a pragmatic approach to scaling ML while mitigating risks. Based in Atlanta and advised by Prof. Ling Liu, he maintains an academic homepage that showcases publications and projects tying large-scale distributed systems to trustworthy AI.
9 years of coding experience
PhD Computer Science, PhD Computer Science at Georgia Institute of TechnologyMaster's degree, Master's degree at South China University of Technology
Github Skills (39)
huggingface8
license-plate-recognition8
post-training8
exploratory8
labeling7
jailbreak7
agent7
reasoning7
database7
object-detection7
benchmark6
data-analysis5
nlp5
ai5
gpt4all5
Programming languages (3)
Github contributions (5)
androidPractice233/winxinshare
Mar 2018 - May 2018
Contributions:6 PRs, 29 pushes, 5 branches in 1 month
git-disl/awesome_LLM-harmful-fine-tuning-papers
Sep 2024 - Mar 2025
Contributions:78 pushes, 2 comments, 1 issue in 6 months
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