Wu Yi
Shenzhen, Guangdong Province, China
Summary
👤
SeniorYi Wu is an Assistant Professor at Tsinghua University with a decade of experience bridging rigorous AI research and applied systems, specializing in multi-agent and deep reinforcement learning as well as natural language understanding. A Berkeley Ph.D. advised by Stuart Russell, he has worked on hierarchical, interpretable models that connect principled probabilistic approaches with modern data-driven methods. His background includes research stints at OpenAI and Facebook (FAIR), contributions to RL for visual navigation and multi-agent teams, and industry internships at ByteDance and Microsoft that informed practical system-building. Yi maintains an active academic profile—his publications are listed on Google Scholar—and his work frequently explores scalable RL systems and human-interpretable hierarchies, reflecting a rare mix of theoretical depth and engineering pragmatism. Based in Beijing, he describes himself simply as "A Learner," signaling a continuous curiosity that drives both foundational research and real-world experimentation.
10 years of coding experience
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (31)
animation10
jna8
npcap8
java8
network-tools7
winpcap7
shared-memory7
yang6
arraylist6
overriding6
equals6
packet6
rdma6
networking5
4g5
Programming languages (4)
Github contributions (5)
Wsky51/THU-CS912-kaoyan
Jul 2019 - Dec 2021
自己整理的所有清华计算机类912考研的历年真题，清华本科生试卷以及清华相关课程ppt
Contributions:9 commits, 7 pushes, 1 comment in 2 years 6 months
ppt
Wsky51/TsinghuaJS
Jun 2020 - Aug 2022
为准备2020年清华机计算机复试机试题而做的笔记
Contributions:6 commits, 2 PRs, 5 pushes in 2 years 2 months
java
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