About Me
I am currently a master’s student in Big data Engineering at Tsinghua University, advised by Prof. Yujiu Yang, and a research intern at Shanghai Artificial Inetlligence Laboratory. I received my Bachelor’s degree in Computer Science and Techonology from Hunan University.
My research foucses on the safety, alignment, and interpretability of large (multimodal) language models. I have worked on topics such as MLLMs Safety Evaluation, LLM Unlearning, and LLM Watermarking.
My long-term vision is to build LLMs that are more trustworthy, transparent, and secure. I hope to bridge the gap between research and deployment, enabling AI safety techiniques to be widely applied in real-world systems.
🎓 Educations
- 2019.09 - 2023.06,
Computer Science and Technology, Hunan University, Changsha China.
- 2023.09 - 2026.06,
Big Data Engineering, Tsinghua University, Shenzhen China.
📝 Publications





- *Ruilin Luo ,
*Tianle Gu, *Haoling Li, Junzhe Li, Zicheng Lin, Jiayi Li, Yujiu Yang†. Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion [Paper]

- *Yixu Wang,
Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma. HoneypotNet: Blackdoor Attacks Against Model Extraction [Paper]
* denotes equal contribution.
Projects


- ChatZoo, a lightweight evaluation tool. [Github]
🏅 Honors and Awards
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- 2021*, Hunan Province IoT Competition, 1st Prize
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- 2021 - 2022*, National Scholarship
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- 2019 - 2020*, National Scholarship
💬 Conferences
- ACL 2025, Austria
🐱 Pets
Dan Jiao
Contact me via Wechat
🏭 Internships
- 2025.03 - Present, Trustworthy AI Intern, Shanghai Artificial Intelligence Laboratory, Shanghai China
- 2024.01 - 2024.10, MLLM Evaluation Intern, Shanghai Artificial Intelligence Laboratory, Shanghai China
- 2023.05 - 2023.08, LLM Distributed Training Engineer (Intern), Shanghai Artificial Intelligence Laboratory, Shanghai China