Yiming Li
Research Scientist at NVIDIA
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYiming Li is a research-focused machine learning scientist with 7 years of experience specializing in trustworthy ML and generative AI, currently a Research Fellow at Nanyang Technological University in Singapore. He has held rapid academic roles including Research Professor at Zhejiang University and a visiting PhD stint at UIUC, where he collaborated on robust and secure ML with leading researchers. His background blends top-tier PhD training from Tsinghua and perfect-marks mathematical foundations, plus industry research internships at Ant Group and Tencent working on adversarial and backdoor learning. Yiming’s work sits at the intersection of theory and practical attack/defense techniques, and he has been recognized with early-career awards and a tenure-equivalent appointment in China. Colleagues describe him as someone who moves fluidly between rigorous proofs and hands-on system experiments, a trait that helps translate trustworthiness research into deployable safeguards.
7 years of coding experience
Doctor of Philosophy - PhD, AI and Robotics, Doctor of Philosophy - PhD, AI and Robotics at New York University
German, Chinese, English
Github Skills (25)
python10
machine-learning10
deep-learning10
ai-security10
scipy9
algorithms9
scientific-computing9
speaker-verification7
pytorch7
adversarial-machine-learning7
federated-learning6
security6
adversarial-attacks6
robustness4
srt3
Programming languages (2)
Github contributions (5)
PerdonLiu/Visual-Privacy-Protection-via-Mapping-Distortion
Jan 2021 - May 2021
Contributions:8 commits, 8 pushes in 3 months
THUYimingLi/backdoor-learning-resources
Jun 2020 - Jan 2023
A list of backdoor learning resources
Contributions:21 reviews, 636 commits, 36 PRs in 2 years 7 months
backdoordeep-learningmachine-learninglearning-resourcesbackdoor-attacks
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