Kaisen Yang
Student Researcher at Tsinghua University. | yks23@mails.tsinghua.edu.cn
(+86)15019000811
Beijing, China
🧑🎓 Biography
I am a third-year undergraduate student in the Department of Computer Science and Technology at Tsinghua University(THU) 🚢. I maintain an academic record with a GPA of $\text{3.94/4.0}$, ranking $\text{12th}$ out of $\text{173}$ students. 📊
Currently, I am conducting research as a student researcher in Professor Alex Lamb’s lab, focusing on the critical and evolving field of LLM Reasoning 💡. My research interests center on techniques to enhance the performance and accessibility of Generative Models, especially the following listed fields:
- Diffusion Model Compression and Quantization
- Structured LLM Reasoning
- Masked Diffusion Model
- Attention Mechanism
I am passionate about exploring methods to build powerful yet resource-conscious AI systems that push the boundaries of computational efficiency. ⚡
🏢 Affiliations
- Vice chairman of Students’ Association of Science and Technology in CST.
- Member of 19th Spark Program.
news
| Feb 15, 2026 | 🎉 Our paper, PAM, has been accepted to CVPR 2026! |
|---|---|
| Feb 01, 2026 | ✍️ 1 preprint released on arXiv. |
| Jan 20, 2026 | 🎉 Our paper, CubeBench, has been accepted to ICLR 2026! |
| Dec 15, 2025 | ✍️ 1 preprint released on arXiv. |
| Nov 20, 2025 | 🎉 Awarded 2025 九井之星 and Ruiqi Scholarship (20000 RMB). |
| Sep 15, 2025 | 💰 Receive ¥30,000 RMB in support from the Beijing Natural Science Foundation for my research project. |
selected publications
- ACL
Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive DomainsIn Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025 - NeurIPS
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action ModelsarXiv preprint arXiv:2505.23757, 2025 - CVPR
PAM: A Pose–Appearance–Motion Engine for Sim-to-Real HOI Video GenerationIn , 2026 - ICLR
CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial ObservationsIn , 2026 - ArXiv