Hi there
Welcome to my Homepage!
I am an undergraduate (2023–2027) at Southwest Jiaotong University. My research interests include reinforcement learning, agentic LLMs, and social recommendation.
I work at Cityu with Prof. Songhua Hu. Previously I worked at ETS lab@THU with Prof.Yang Liu Currently I conduct the Agent memory research at ailab.
News
- A2GBD is accepted in WWW 2026 🔥
- Our work achieved 7th place globally in the lightweight deployment track of Tencent 2025 OpenMind’s Honor of Kings competition. 🔥
- *DwT is accepted in MM 2025
- In charge of Cybersecurity Club. Feel free to reach out if you’d like to join.
Experience



ETS Lab, Tsinghua University
Jan 2025 – Dec 2025
Research Intern, working on LLMs for Transportation and Mobility
Jan 2025 – Dec 2025
Research Intern, working on LLMs for Transportation and Mobility

Southwest Jiaotong University
Jan 2024 – Jul 2027
Academic Innovation Scholarship
B.E. in Transportation Engineering at School of Transportation and Logistics, advised by Prof. Tianrui Li
Jan 2024 – Jul 2027
Academic Innovation Scholarship
B.E. in Transportation Engineering at School of Transportation and Logistics, advised by Prof. Tianrui Li
Publications

Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation
We propose DwT, a training-free framework that unleashes multimodal reasoning for scientific diagram generation by guiding MLLMs to reconstruct diagrams.
ACM MM 2025 [arXiv]
We propose DwT, a training-free framework that unleashes multimodal reasoning for scientific diagram generation by guiding MLLMs to reconstruct diagrams.
ACM MM 2025 [arXiv]
Projects

RL Lab
RL Lab is dedicated to developing efficient and adaptable deep reinforcement learning algorithms.
[code]
RL Lab is dedicated to developing efficient and adaptable deep reinforcement learning algorithms.
[code]

MLLM-Reasoning-Enhancement-Guide
This repository offers a systematic guide to MLLM reasoning enhancement, including method overviews, key papers, tools, datasets, and tutorial notes
[website]
This repository offers a systematic guide to MLLM reasoning enhancement, including method overviews, key papers, tools, datasets, and tutorial notes
[website]
Awards ——–
- Academic Innovation Scholarship 2025

