Ziheng Qin is a research scientist at Meta with around eight years of experience at the intersection of computer vision and anomaly detection, grounded in rigorous academic training including a PhD from NUS and prior degrees from USC, UMich, and SJTU. His work blends high-impact research—an ICLR 2024 oral and an AAAI 2023 Distinguished Paper Award during his PhD—with practical industry experience from internships at Google and TikTok focused on efficient annotation and semi-supervised learning. He has contributed to stealth AI projects and rapidly transitioned into Meta research, demonstrating an ability to move ideas from cutting-edge papers toward production-relevant solutions. Based in Sunnyvale, he pairs deep theoretical insight with applied engineering instincts, often tackling robustness and detection problems that matter for real-world deployments.
8 years of coding experience
1 year of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Southern California
Bachelor Electrical and Computer Engineering, Bachelor Electrical and Computer Engineering at Shanghai Jiao Tong University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Michigan, Ann Arbor
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore
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