👋 About Me
I am Zizhen Li (李子桢), a Ph.D. student at the College of Artificial Intelligence, Nankai University, jointly trained at Shanghai Innovation Institute (SII), advised by Kaipeng Zhang. I began my graduate study at Nankai University in 2022 and transferred to the Ph.D. program in 2024. I received my B.Eng. from Taiyuan University of Technology in 2022.
My research interests lie at Human–AI Co-Creation for Game Design and LLMs for Social and Entertainment Scenarios.
🎲 Off the clock, I play social deduction (Avalon, One Night Werewolf, Blood on the Clocktower), card and tile games (Sheng Ji, Texas Hold'em, Mahjong), and light strategy games (Catan, Codenames, Cabo).
📖 Education
-
2024.09 – PresentPh.D. in Artificial Intelligence, Nankai University × Shanghai Innovation Institute. Advisor: Kaipeng Zhang.
-
2022.09 – 2024.06M.S.–Ph.D. combined program (M.S. years) in Artificial Intelligence, Nankai University. Advisor: Mingzhu Sun.Research in the Robotic Micro-nano Operation Laboratory (ROMIOL): hand-built a two-photon microscope to provide vision for automated micromanipulation.
-
2018.09 – 2022.06B.Eng. in Electronic Information Engineering, Taiyuan University of Technology.Member of the Xiaoming Lab, working on electronic hardware.
📝 Publications
First-Author Papers

Zizhen Li*, Chuanhao Li, Yibin Wang, Jianwen Sun, Yukang Feng, Fanrui Zhang, Mingzhu Sun, Yifei Huang, Kaipeng Zhang📧
TL;DR An end-to-end board game design assistant with four modules — guided ideation dialogue, verifier-gated iterative rulebook generation with an LLM critic, and individualized audience feedback simulated from 150 real player profiles.

MeepleLM: A Virtual Playtester Simulating Diverse Subjective Experiences
Zizhen Li*, Chuanhao Li, Yibin Wang, Yukang Feng, Jianwen Sun, Jiaxin Ai, Fanrui Zhang, Mingzhu Sun, Yifei Huang, Kaipeng Zhang📧
TL;DR A virtual playtester trained on 1.7K rulebooks and 150K reviews with MDA-based reasoning, simulating the subjective feedback of diverse player personas; outperforms GPT-5.1 and Gemini3-Pro in community alignment and critique quality.

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Zizhen Li*, Chuanhao Li, Yibin Wang, Qi Chen, Diping Song, Yukang Feng, Jianwen Sun, Jiaxin Ai, Fanrui Zhang, Mingzhu Sun, Kaipeng Zhang📧
TL;DR A benchmark grounded in social-deduction gameplay for evaluating whether LLMs can capture and apply an individual's reasoning style across contexts.
Co-Authored Papers
💼 Internship
- 2025.10 – Present, Research Intern, Alaya Lab, Shanghai, China. Advisor: Kaipeng Zhang.
📬 Contact
Reach me by email at lizizhen@mail.nankai.edu.cn, or scan a QR code below.