Biography

I am a third-year undergraduate at the Department of Computer Science and Technology, Tsinghua University, with a GPA of $\text{3.9/4.0}$ and a rank of $\text{8/194}$.

My research interests span Generative Modeling, Agents, and Physical AI.

Layer 1 · Paradigms

Modeling Paradigms

How can we decompose a complex target into functions that are tractable to model?

Layer 2 · Systems

Architectures & Efficiency

How can we model these functions efficiently and precisely?

Layer 3 · Evidence

Data & Benchmark

How do we learn these functions and evaluate them rigorously?

Research Affiliations

Now ·
Tsinghua C3I Lab — Center for Collaborative & Conversational Intelligence, Tsinghua University. I am advised by Ning Ding and Prof. Bowen Zhou.
2026.05 –
Nature Will — Algorithm Intern.
2025.12 –
Einsia.AI — Lab Leader.
Past ·
Lamb Group — student researcher with Prof. Alex Lamb, on masked diffusion and structured reasoning.

Service & Activities

  • Chairman, Students’ Association of Science and Technology, Department of CST, Tsinghua University.
  • Council Member, 19th Spark Program (星火计划), Tsinghua University.
  • Former Class President, Class 31, Department of CST, Tsinghua University.

news

Jul 31, 2026 Selected for the CCF Excellent Undergraduate Launch Program.
Jun 17, 2026 🏆 Awarded the SenseTime Scholarship 2026.
Jun 16, 2026 ✍️ Our paper, VoidPadding, is released on arXiv.
Jun 02, 2026 I became Chairman of SAST of the Computer Science and Technology (CST) department.
May 01, 2026 🎉 2 papers have been accepted to ICML 2026!
Feb 15, 2026 🎉 Our paper, PAM, has been accepted to CVPR 2026!

selected publications

  1. ArXiv
    browserbc.png
    Scalable Behaviour Cloning on Browser Using via Skill Distillation
    Kaisen Yang, Zheng Jiang, Yuzhao Peng, Houde Qian, Boshi Zhang, and 9 more authors
    2026
    arXiv HTML PDF
  2. ArXiv
    ai4ai-bench.png
    AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement
    Yizhe Chi, Wenyi Li, Deyao Hong, Xiaoqiu Wang, Mingju Gao, and 5 more authors
    2026
    arXiv HTML PDF Code
  3. COLM
    voidpadding.png
    VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination
    Chunyu Liu, Zhengyang Fan, Kaisen Yang, and Alex Lamb
    COLM 2026 Workshop on Efficient Reasoning, 2026
    arXiv PDF Code
  4. ArXiv
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    Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization
    Yizhe Chi, Deyao Hong, Dapeng Jiang, Tianwei Luo, Kaisen Yang, and 6 more authors
    arXiv preprint arXiv:2604.12290, 2026
    arXiv HTML PDF Code
  5. ICML
    masked-diffusion.png
    Improving Sampling for Masked Diffusion Models via Information Gain
    Kaisen Yang, Jayden Teoh, Kaicheng Yang, Yitong Zhang, and Alex Lamb
    In Proceedings of the 43rd International Conference on Machine Learning, 2026
    arXiv HTML PDF Code
  6. CVPR
    pam.png
    PAM: A Pose–Appearance–Motion Engine for Sim-to-Real HOI Video Generation
    Mingju Gao†, Kaisen Yang†, Huan-ang Gao, Bohan Li, Ao Ding, and 11 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    arXiv HTML PDF
  7. ICLR
    cubebench.png
    CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations
    Huan-ang Gao, Zikang Zhang, Tianwei Luo, Kaisen Yang, Xinzhe Juan, and 7 more authors
    In International Conference on Learning Representations (ICLR), 2026
    arXiv HTML PDF
  8. ACL
    tree-kg.png
    Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains
    Songjie Niu†, Kaisen Yang†, Rui Zhao, Yichao Liu, Zonglin Li, and 2 more authors
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
    HTML PDF
  9. NeurIPS
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    Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
    Haohan Chi, Huan-ang Gao, Ziming Liu, Jianing Liu, Chenyu Liu, and 6 more authors
    Advances in Neural Information Processing Systems (NeurIPS), 2025
    arXiv HTML PDF Code