Xu Chen
Beijing, China
Summary
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RockstarChen Xu is a postdoctoral researcher at Carnegie Mellon University with 11 years of experience at the intersection of AI economics and agentic AI. He earned his PhD in Information Retrieval from Renmin University of China and has published over ten papers at top venues including SIGIR, WWW, ICLR, CIKM, and EMNLP. As first author he received Best Paper Nominations at SIGIR and WWW, reflecting a strong track record in high-impact research. His doctoral work emphasized fairness and agent-based machine learning, and he has collaborated internationally with labs at NUS and the University of Amsterdam. Based in Beijing and active across US-China research networks, he combines theoretical rigor with applied experimentation on emergent agent behaviors. Colleagues know him for connecting economic perspectives to agent design—an angle that often surfaces as the less obvious driver behind his research insights.
11 years of coding experience
Github Skills (10)
survey4
algorithms3
deep-reinforcement-learning3
simulation3
gensim2
large-language-models2
multi-agent2
agent2
pytorch2
llm1
Programming languages (1)
Github contributions (5)
gearsuccess/GearRecommender
Nov 2016 - Dec 2016
Contributions:18 commits, 4 pushes, 1 branch in 22 days
nuster1128/LLM_Agent_Memory_Survey
Apr 2024 - Jul 2025
Contributions:2 pushes in 1 year 3 months
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