Haozhe Wang
Research Intern at Alibaba Group
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolHaozhe Wang is a research-focused machine learning engineer with a decade of experience and a Master’s with honors from ShanghaiTech after earning his CS bachelor's at Wuhan University. He specializes in reinforcement learning, probabilistic graphical models, and data-efficient learning, applying these to real-world problems like display advertising and visual reasoning. As a research intern at Alibaba’s display advertising group he led work on curriculum-guided Bayesian RL for ROI-constrained bidding, published at KDD 2022, demonstrating strong constraint satisfaction and OOD generalization. Haozhe bridges theory and practice, seeking application grounds for RL in areas such as autonomous driving and games, and is planning further study in the U.S. beyond his current Shanghai base. Notably, his work emphasizes principled, sample-efficient methods that translate to operational gains in production advertising systems.
10 years of coding experience
Bachelor's degree, Computer Science, Graduated, Bachelor's degree, Computer Science, Graduated at Wuhan UniversityMaster's degree (with honor), Computer Science, Graduated, Master's degree (with honor), Computer Science, Graduated at ShanghaiTech University
English, Chinese
Github Skills (39)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
tensor10
gpu-acceleration10
autograd9
tensorflow9
extjs8
face7
ranking7
prediction6
Programming languages (3)
Github contributions (5)
wuhaozhe/OOPBigWork
Apr 2016 - May 2016
OOP
Contributions:37 commits, 36 pushes, 1 branch in 25 days
oopextjs
wuhaozhe/Unfollow-Prediction
Nov 2019 - Nov 2020
Repository for paper "Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction"
Contributions:5 commits, 2 PRs, 4 pushes in 11 months
interactionminingspatialspatial-temporalmachine-learning
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