Haicang Zhou
Machine Learning Engineer at TikTok
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolHaicang Zhou is a machine learning engineer and final-year PhD from Nanyang Technological University with eight years of experience bridging academic research and production-grade AI, now focusing on next-generation recommendation algorithms at TikTok. His research spans data mining, graph neural networks, spatiotemporal urban computing, and AI4Science, with publications in top AI and data-mining venues and practical work touching recommender systems, map services, and knowledge graphs. Trained at Fudan University and a math visiting stint at HKUST, he combines rigorous theoretical grounding with applied system development. Notably, he brings a geography-aware perspective to ML—applying spatial insights to improve model relevance in urban and recommender contexts—while transitioning his academic advances into scalable industry solutions.
8 years of coding experience
Bsc in Computer Science, Computer Science, Bsc in Computer Science, Computer Science at Fudan UniversityVisiting Internship Student, Mathematics, Visiting Internship Student, Mathematics at 香港科技大学Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Nanyang Technological University Singapore
Stackoverflow
119reputation
17kreached
2answers
1question
Github Skills (58)
python10
machine-learning10
generative-adversarial-network10
numpy10
deep-learning10
jupyterlab-extension10
gpu10
jupyter9
representation-learning9
autoencoder9
sparse9
stochastic9
acceleration9
ranking9
autograd9
Programming languages (3)
Github contributions (5)
Haicang/PRML
Mar 2018 - Jul 2018
Contributions:39 commits, 25 pushes, 2 branches in 3 months
ics-fudan/ics-fudan-2018.github.io
Sep 2018 - Oct 2019
Contributions:28 pushes, 1 branch in 1 year 1 month
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