About Me

I am a fourth-year PhD candidate in the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), supervised by Prof. James Cheng. I am currently a Top Talent Intern at MiniMax, working with the Foundation Model Team’s Reinforcement Learning Group.

My research focuses on improving multi-turn coding agents through reinforcement learning (RL) and on-policy distillation (OPD).

Previously, I studied graph neural networks and attention mechanisms under the supervision of Dr. Yifei Wang at MIT CSAIL. I have also collaborated closely with Dr. Xinyi Wu at MIT IDSS and Dr. Kevin Qinghong Lin at Oxford Torr Visual Group.

Prior to coming to CUHK, I was an undergraduate student at Harbin Institute of Technology, where I worked as a research intern at SCIR, supervised by Prof. Libo Qin.

I welcome research collaborations in these areas. Feel free to contact me at wjqkoko@gmail.com.

I expect to graduate in Fall 2027 and am seeking full-time opportunities in LLM post-training and quantitative research starting in late 2027. Please feel free to reach out!