About

Hi👋, welcome to visit my website! I am a Ph.D student at Institute of Computing Technology(ICT), Chinese Academy of Sciences(CAS), advised by Prof. Shenghua Liu and Yiwei Wang . I work on Large Language Model (LLMs) Reasoning 🤖, especially in Vision-Language Models (VLM) Reasoning and Solve complex logic problems with LLMs.

I completed research internships at Tsinghua University, focusing on large language model post-training, and at Microsoft Software Technology Center Asia (STCA), working on feature engineering and language model training.

Beyond my core research, I explore Web3+AI and Ethereum 🔗 (work with PharosInsight).

I am a member of sigmir and welcome research collaborations 🤝!

News


Interests
  • Large Language Model Reasoning
  • Vision-Language Model Reasoning
  • Solve Logic Problems with LLMs
Education
  • Ph.D Candidate, 2024-202X

    Institute of Computing Technology

  • B.S. in Computer Science, 2020-2024

    North China University of Technology

Highlight Publications

🔍 Quickly discover relevant content by filtering publications.
(2025). Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning. arXiv.

PDF Cite DOI arXiv Hugging Face PaperWeekly

(2025). Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?. Association for Computational Linguistics (ACL) Main, 2025 (CCF-A).

PDF Cite Slides Video DOI Paper Poster

(2025). A Survey of Context Engineering for Large Language Models. arXiv.

PDF Cite Code DOI arXiV Hugging Face

(2025). Innate Reasoning is Not Enough : In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. arXiv.

PDF Cite DOI arXiv Hugging Face

(2023). Attack based on data : A novel perspective to attack sensitive points directly. Cybersecurity (CCF-C).

PDF Cite Dataset DOI

Other Publications

(2025). Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models. arXiv.

PDF Cite DOI arXiv

(2025). Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) Oral, 2025 (CCF-B).

PDF Cite DOI arXiv

(2025). PIS:Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression. arXiv.

PDF Cite DOI arXiv

Experience

 
 
 
 
 
RL Team, Moonshot AI
Research Intern
September 2025 – Present Beijing, China
 
 
 
 
 
Microsoft Software Technology Center (STC) Asia
Software Engineer Intern
April 2024 – September 2024 Beijing, China
 
 
 
 
 
Tsinghua University
Machine Learning Engineer Intern
September 2023 – March 2024 Beijing, China
 
 
 
 
 
PaddlePaddle, Baidu
Software Engineer Intern
July 2021 – December 2021 Beijing, China

Services

✍🏻 Reviewer for

  • ACM International Conference on Information and Knowledge Management (CIKM) 2025
  • AAAI Conference on Artificial Intelligence (AAAI) 2026
UCAS UCAS Long ICT