Kuan Zhang(张宽)
About Me
I am a senior undergraduate student majoring in Software Engineering at Beijing Institute of Technology (BIT), and an incoming Ph.D. student at Tsinghua University.
My research focuses on general game agents and general game world models. I am now working with Prof. Yiming Li at THUSI-Lab on building agents that can play and reason across diverse games, and I am currently a Research Intern at miHoYo (HoYoverse).
Previous: BIT-DataLab with Prof. Chengliang Chai — label noise learning and pretraining data selection.
Outside of research, I enjoy esports, AAA games, music, novels, and animation. Proud Master-tier League of Legends player. 🎮
Experience
miHoYo (HoYoverse)
Mar 2026 – PresentResearch Intern
Tsinghua University
2026 – PresentPh.D. Student · Intern in THUSI-Lab
Beijing Institute of Technology
2022 – 2026B.Eng. in Software Engineering · Intern in BIT-DataLab
Chengdu No.7 High School
2019 – 2022High School
Publications
* denotes equal contribution, † denotes corresponding author
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse
A systematic survey tracing the full lifecycle of generalist game players across four interdependent pillars — Dataset, Model, Harness, and Benchmark — and charting a five-level roadmap from single-game mastery toward the ultimate creator stage in the game multiverse.
GameVerse: Can Vision-Language Models Learn from Video-based Reflection?
A comprehensive video game benchmark enabling a reflective visual interaction loop for VLMs, with cognitive hierarchical taxonomy spanning 15 globally popular games, dual action space, and milestone evaluation.
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
An efficient, hyperparameter-free, instance-level optimization framework for label noise in image classification.
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
Combine multi-arm bandit with influence function to select data for pretraining process of large language models.
Academic Service
Conference Reviewer
I truly believe that great ideas and improvements come from open discussions and debates in academia. If you have any thoughts, disagreements with my work, or fresh ideas you'd like to share, I'd be really grateful to hear from you.
If you've got any questions about my research, or if you've tried reaching out through GitHub issues and haven't heard back, please don't hesitate to drop me an email. I'm always happy to chat or help out in any way I can.