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Muyang Li (李沐阳)

EECS, Massachusetts Institute of Technology

I’m a second-year Ph.D. student at MIT, advised by Prof. Song Han. I obtained my master’s degree at Robotics Institute, CMU, advised by Prof. Jun-Yan Zhu and my Bachelor’s degree from Zhiyuan College (ACM Class), Shanghai Jiao Tong University.

My research interest is in the intersection of machine learning, system, and computer graphics. I am currently working on building efficient and hardware-friendly generative models with its applications in computer vision and graphics.

News

May 1, 2025 🎉 Sparse VideoGen and SANA-1.5 have been accepted to ICML 2025!
Feb 11, 2025 🎉 SANA is selected as an ICLR 2025 Oral presentation! SVDQuant is selected as an ICLR 2025 Spotlight!
Jan 22, 2025 🎉 SVDQuant, SANA and DC-AE have been accepted to ICLR 2025!
Nov 7, 2024 We released SVDQuant. Our code and demo are publicly available!
Apr 4, 2024 DistriFusion was selected as a HIGHLIGHT poster in CVPR 2024!

Education

  1. EECS, Massachusetts Institute of Technology
    Ph.D. Student, advised by Prof. Song Han
    Sep 2023 - Present
  2. Robotics Institute, Carnegie Mellon University
    Master of Science in Robotics, advised by Prof. Jun-Yan Zhu and Prof. Song Han
    Jul 2021 - May 2023
  3. Shanghai Jiao Tong University
    Bachelor of Engineering in Computer Science, advised by Prof. Kai Yu and Prof. Yong Yu
    Sep 2016 - Jul 2020

Other Experiences

  1. NVIDIA, Santa Clara
    Summer Intern, working with Prof. Song Han
    May 2024 - Aug 2024
  2. NVIDIA, Shanghai
    Summer Intern, working with Prof. Song Han and Ming-Yu Liu
    Jun 2023 - Aug 2023
  3. OmniML Inc., San Jose
    Summer Intern, working with Prof. Song Han
    May 2022 - Aug 2022
  4. Dawnlight Inc., Shanghai
    Data Scientist, working with Prof. Song Han
    Jul 2020 - Jul 2021
  5. MIT HAN Lab, Cambridge
    Research Assistant, working with Prof. Jun-Yan Zhu and Prof. Song Han
    Jul 2019 - Jan 2020

Selected Publications [Full List]

  1. SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
    Muyang Li*, Yujun Lin*, Zhekai Zhang*, Tianle Cai, and 6 more authors
    In ICLR 2025 Spotlight
    Website PDF Demo Code
  2. DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
    Muyang Li*, Tianle Cai*, Jiaxin Cao, Qinsheng Zhang, and 6 more authors
    In CVPR 2024 Highlight
    Website PDF Blog Code
  3. Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
    Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, and 2 more authors
    In T-PAMI & NeurIPS 2022
    Website PDF Slides Video Code
  4. GAN Compression: Efficient Architectures for Interactive Conditional GANs
    Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, and 2 more authors
    In T-PAMI & CVPR 2020
    Website PDF Slides Video Code

Honors and Awards

  • Best Pitch Award, MARC 2025 Jan, 2025
  • Seneff-Zue CS Fellowship, $98K Sep, 2023
  • Honorable Mention, Award for 2019 American Interdisciplinary Contest in Modeling (ICM) Jan, 2019
  • Zhiyuan Honorary Scholarship, (3 times), Award for top 5% students 2016,2017,2018
  • A-Class School-level Scholarship, Award for top 1% students Dec, 2018
  • 1st Runner up’s Coach, Award on ICPC2018 Pathom Regional Nov, 2018
  • Jin Long Yu Fellowship, Award for top 1% students Dec, 2017
  • 1st Runner-up, Award on Singing Competition of Zhiyuan College in SJTU Dec, 2017
  • 3rd Runner-up, Award on ICPC2017 Jakarta Regional Nov, 2017
  • Gold Medal, Award on ICPC2017 Qingdao Regional, Ranked 5th Nov, 2017
  • Gold Medal, Award on CCPC2017 Qingdao Regional, Ranked 10th Oct, 2017

Teaching

  • Coach, SJTU's ICPC team Jun 2019 - Apr 2019
  • Teaching Assistant, CS147: Data Structures at SJTU Mar 2018 - May 2018

Academic Service

  • Conference Reviewer: ICML, ICLR, NeurIPS, ICCV, CVPR, SIGGRAPH Asia
  • Journal Reviewer: T-PAMI, IJCV, TVCJ, TCSVT

Misc.

  • I am enthusiastic about pop singing. I usually publish my singing works at Douyin.