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Resume (English only)
Academic Achievements
- Published paper: 'The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models'
- Presented paper 'SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning' at ICLR 2024
- Presented paper 'MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning' at NeurIPS 2023
- Presented paper 'Neural Exploratory Landscape Analysis' at ICLR 2025
- Presented paper 'Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning' at GECCO 2024
Research Experience
- PhD Student at the CSE department in The Chinese University of Hong Kong
- Collaborates with multiple professors and researchers
- Visiting Researcher at Caltech
Education
- PhD: The Chinese University of Hong Kong, Department of Computer Science and Engineering, advisors: Prof. Yu Cheng and Prof. Weiyang Liu
- Bachelor's Degree: South China University of Technology, advisor: Prof. Yue-Jiao Gong
- Visiting Researcher: Caltech, advisors: Prof. Yisong Yue and Dr. Kaiyu Yang
Background
- Research Interests: Reasoning in NLP, Reinforcement Learning
- Field: Computer Science
- Background: Jiacheng Chen is a PhD student at the CSE department in The Chinese University of Hong Kong, advised by Prof. Yu Cheng and Prof. Weiyang Liu. He also works closely with Dr. Ganqu Cui and Prof. Ning Ding.