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Resume (English only)
Academic Achievements
Selected Publications:
- Pareto Multi-Objective Alignment for Language Models (ECML/PKDD 2025)
- Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment (ICML 2024)
- Two papers accepted to ICLR 2024, one of which is a spotlight paper.
Research Experience
Currently on the job market. Reviewer for ICLR, NeurIPS, ICML, AAAI, DMLR, ICPR.
Education
Currently a fourth-year PhD student at Ruhr-University Bochum, supervised by Prof. Dr. Setareh Maghsudi. Master's degree in Theory and Method of Artificial Intelligence from the Institute of Automation, Chinese Academy of Sciences.
Background
Research Interests: Large Language Models, RLHF, Human-AI Alignment, Game AI, Reinforcement Learning. Currently, my research aims to i) develop controllable AI in both training and inference/adaptation; ii) theory and real-world application of Human-AI alignment; and iii) understand the structural information of LLMs, RLHF & RL and how to leverage it to enable agent performance.
Miscellany
Contact Information:
- Email: qianghe97 AT gmail DOT com, Qiang DOT He AT rub DOT de