Chongming GAO
算法实习生 at 快手
Hefei, Anhui, China
Summary
👤
Senior🎓
Top SchoolChongming GAO is a researcher-practitioner focused on recommender systems, currently working as an algorithm intern at Kuaishou while completing a PhD in Electronic Information at the University of Science and Technology of China. With roughly a decade of experience across research internships at Alibaba and industry projects, he has applied user modeling and personalization techniques to real-world products like Tmall Genie and conversational recommendation systems. His background combines strong academic training (PhD and MS in computer science/electronic information) with hands-on deployment experience, bridging theory and production. Based in Hefei, he runs a personal site (chongminggao.me) and contributes research insights from the Lab for Data Science at USTC, signaling an ongoing commitment to advancing recommendation research beyond typical engineering roles.
11 years of coding experience
博士, 电子信息, 博士, 电子信息 at 中国科学技术大学硕士, 计算机科学与技术, 硕士, 计算机科学与技术 at 电子科技大学
Github Skills (33)
evaluation10
causal-inference10
recommender-system10
causality9
python8
deep-learning8
ctr8
machine-learning8
mlr7
autoencoder7
gpu7
click-through-rate6
neural-network5
denoising5
numpy5
Programming languages (8)
Github contributions (5)
chongminggao/CIRS-codes
Dec 2021 - Jan 2023
This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
Contributions:41 commits, 2 PRs, 30 pushes in 1 year
recommender-system
chongminggao/Homepage-ChongmingGAO
Jan 2021 - Jun 2026
Contributions:49 pushes in 5 years 5 months
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