About me

My name is Chenlong Wang (王臣龙), a third-year undergraduate student in the School of Computer Science and Technology at HUST. I began my research journey while working with Prof. Yao Wan at HUST, and join his undergraduate research team, ONE Lab. At present, I am collaborating with Prof. Tianyi Zhou at UMD and will be joining the CCVL Lab at JHU as an on-site intern, co-supervised by Yaoyao Liu and Jieneng Chen.

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

• Multi Modality: Unified Model, MLLM.
• Video Generation: World Model, Video Gen.
• Reasoning & Evaluation: RL, Interpretability, Data-centric.

Here is my CV. Please feel free to contact me!

🔥 News

• 2025.08:  🎉 Our paper, NoWait, has been accepted at EMNLP 2025 Findings!
• 2025.05:  🎉 Our paper, CodeSync, has been accepted at ICML 2025!
• 2025.01:  🎉 One paper, GUI-World, has been accepted at ICLR 2025!

📝 Publications

EMNLP 2025 Findings

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 Zhou†

ICML 2025

CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale

[PDF] [Github]

Chenlong Wang*, Zhaoyang Chu*, Zhengxiang Cheng*, Xuyi Yang, Kaiyue Qiu, Yao Wan†, Zhou Zhao†, Xuanhua Shi†, Hai Jin†, Dongping Chen‡

ICLR 2025

GUI-World: A Dataset for GUI-oriented Multimodal LLM-based Agents

[PDF] [Github] [Website]

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 Sun†

P.S. * indicates equal contribution. † indicates corresponding author. ‡ indicates project leaders.

📖 Experience

• 2025.09 - Present, On-site Research Intern at CCVL in Johns Hopkins University.
  • Explore the powerful prior knowledge inside of world models.
• 2025.04 - Present, Remote Research Intern in University of Maryland.
  • Investigate the unification and inherent misalignment within unified models.
  • Explore the inherent mechanism in large reasoning models and conduct in-depth research on efficient multimodal reasoning with NoWait.
• 2024.04 - Present, Research Intern at ONE Lab in 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.
• 2022.09 - 2026.06 (expected), BEng., Huazhong University of Science and Technology.