About Me

Hello! My name is He Li. I'm a junior undergraduate at Tsinghua University. Currently, I'm an AI-track student in Yao Class, IIIS.

My research interests lie in visual generative model and computer vision. I have participated in several reseach projects and I'm really into the process of doing AI researches. I am going to apply for CS PhD on 2026 Fall.

If you want to learn more about me, please check my CV.

News

  • [2025.5] I'm going to be an UGVRI student in Serena's Group at Stanford from June 2025 to September 2025.
  • [2025.1] I'm going to be a research intern in Kaiming's Group at MIT from February 2025 to May 2025.

Experiences

Research Assistant at MIT

Jan 2024 - Jun 2025

Topic: Autoregressive Vision Model, Representation, Diffusion and Flow Matching
Mentors: Dr. Tianhong Li, Prof. Kaiming He

Undergraduate Intern at TSAIL

Oct 2023 - May 2024

Topic: Sparsity for Diffusion Models, Efficient Machine Learning System
Mentors: Dr. Kafeng Wang, Prof. Jianfei Chen, Prof. Jun Zhu

Publications

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Autoregressive Image Generation without Vector Quantization

Authors: Tianhong Li, Yonglong Tian, He Li, Mingyang Deng and Kaiming He

sparsedm

SparseDM: Toward Sparse Efficient Diffusion Models

Authors: Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi and Jun Zhu

Knowledge and Comprehension

About State Space Model: Mamba and RWKV

Reading Notes Chinese

Abstract: A comprehensive analysis of state space models, focusing on Mamba and RWKV architectures together with their advantages and disadvantages. Started from the concepts of state space models, and then introduced the key components of the original papers.

~20 min read 7,100 characters

Experience and Reflection

Coming Soon

Personal Reflection English

Abstract: Personal reflections on research experiences, academic journey, and insights gained from working in AI research.

TBD TBD

Approaches

Address

  • Zijing Building 2# Room 415A
    Tsinghua University
    Beijing 100084
    P.R CHINA Click to copy