About me
I am a third-year undergraduate student in the School of Computer Science and Technology at HUST. I began my research journey while collaborating with Prof. Yao Wan at HUST, and join his undergraduate team, ONE Lab. At present, I am working with Prof. Tianyi Zhou at UMD. I am currently seeking a Ph.D position in Machine Learning for Fall 2026.
My research interests lie in Machine Learning and Large Language Model, especially on
- Reasoning: reasoning interpretability, MLLM reasoning, reward hack.
- World Model & Reinforcement Learning: Self-evolution, RLVR.
- Trustworthy AI : interpretability, knowledge editing.
Here is my CV. Please feel free to contact me!
🔥 News
- 2025.05:  🎉 Our paper, CodeSync, has been accepted by ICML 2025!
- 2025.01:  🎉 One paper, GUI-World, has been accepted by ICLR 2025!
📝 Publications


GUI-World: A Dataset for GUI-oriented Multimodal LLM-based Agents
Dongping Chen*, Yue Huang*, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan†, Pan Zhou†, Jianfeng Gao†, Lichao Sunâ€
P.S. * indicates equal contribution. †indicates corresponding author. ‡ indicates project leaders.
🍀 In Submission
- Wait, We Don’t Need to “Wait”! Removing Thinking Tokens Improves Reasoning Efficiency [PDF]
Chenlong Wang, Yuanning Feng, Dongping Chen‡, Zhaoyang Chu, Ranjay Krishna†, Tianyi Zhouâ€
Collaborated with Tianyi Zhou from UMD and Ranjay Krishna from UW.
P.S. * indicates equal contribution. †indicates corresponding author. ‡ indicates project leaders.
đź“– Experience
- 2025.04 - Present, Remote Research in University of Maryland.
- Explore the inherent mechanism in large reasoning models and conduct in-depth research on efficient multimodal reasoning with
NoWait
.
- Explore the inherent mechanism in large reasoning models and conduct in-depth research on efficient multimodal reasoning with
- 2024.04 - Present, Research Intern in ONE Lab at Huazhong University of Science and Technology.
- Code generation & interpertability on code knowledge updating task. We propose
CodeSync
, an automated data engine for code knowledge updating. - Research on LLM-based GUI Agents. We propose a dataset
GUI-World
focusing on GUI-oriented capabilities in current MLLMs.
- Code generation & interpertability on code knowledge updating task. We propose
- 2022.09 - 2026.06 (expected), BEng., Huazhong University of Science and Technology.