Wenye Lin
Ph.D. Student at The University of Hong Kong (HKU).
linius@connect.hku.hk
I am currently a third-year Ph.D. student at the Data Science Academy, The University of Hong Kong (HKU), advised by Prof. Kai Han. Prior to this, I received my Master’s degree in Computer Technology from Tsinghua University in 2023, advised by Prof. Hai-tao Zheng, and my Bachelor’s degree in Software Engineering from Nanjing University in 2019.
My research interests primarily lie in Large Language Models (LLMs), Reasoning, and Post-Training. I am particularly focused on enhancing the logical reasoning capabilities of large models on complex tasks, as well as continual learning during post-training.
🎓 Education
- The University of Hong Kong (HKU), Sep. 2023 - Present
- Ph.D. in Artificial Intelligence, Data Science Academy
- Tsinghua University, Aug. 2020 - Jul. 2023
- M.S. in Computer Technology, Shenzhen International Graduate School
- Nanjing University, Sep. 2015 - Jun. 2019
- B.S. in Software Engineering
💻 Experience
-
Tencent AI Lab, NLP Group Sep. 2021 - Aug. 2022 - Research Intern (Mentor: Lemao Liu)
- Teaching Assistant
- Advanced Statistical Modeling (2024 - 2025)
- Natural Language Processing (2023 - 2026)
news
| Jan 15, 2016 | A simple inline announcement with Markdown emoji! |
|---|---|
| Nov 07, 2015 | A long announcement with details |
| Oct 22, 2015 | A simple inline announcement. |
latest posts
| Mar 26, 2025 | a post with plotly.js |
|---|---|
| Dec 04, 2024 | a post with image galleries |
| May 14, 2024 | Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra |
selected publications
- ArXivSurgical Post-Training: Cutting Errors, Keeping KnowledgeArXiv preprint, 2026
- ACLGAMEBoT: Transparent Assessment of LLM Reasoning in GamesIn Annual Meeting of the Association for Computational Linguistics (ACL) main, 2025
- ArXivZerobench: An impossible visual benchmark for contemporary large multimodal modelsArXiv preprint, 2025