Ligeng Zhu

Researcher, NVIDIA

Joined

January 2018

Names

Ligeng Zhu

Emails

****@sfu.ca (Confirmed)

****@mit.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

NVIDIA (nvidia.com)

2024 – Present

PhD student

EECS, Massachusetts Institute of Technology (mit.edu)

2020 – 2024

Undergrad student

Computing Science, Simon Fraser University (sfu.ca)

2015 – 2018

Undergrad student

Computer Science, Zhejiang University (zju.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Song Han

2020 – Present

Coworker

Brain Funt

2017 – 2020

Coworker

Ping Tan

2017 – 2020

Coworker

Greg Mori

2017 – 2020

Expertise

Large Language Model

2020 – Present

Computer Vision

2018 – Present

Efficient Deep Learning

2018 – Present

Publications

OckBench: Tokens are Not to Be Multiplied without Necessity
Zheng Du, Hao Kang, Song Han, Tushar Krishna, Ligeng Zhu
- NeurIPS 2025 ER Workshop
- Readers: Everyone
FoundationMotion: Auto-labeling and Reasoning about Spatial Movement in Videos
Yulu Gan, Ligeng Zhu, Dandan Shan, Baifeng Shi, Hongxu Yin, Boris Ivanovic, Song Han, Trevor Darrell, Jitendra Malik, Marco Pavone, Boyi Li
- Submitted to ICLR 2026
- Readers: Everyone
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
Junyu Chen, Wenkun He, Yuchao Gu, Yuyang Zhao, Jincheng YU, Junsong Chen, Dongyun Zou, Yujun Lin, Zhekai Zhang, Muyang Li, Haocheng Xi, Ligeng Zhu, Enze Xie, Song Han, Han Cai
- Submitted to ICLR 2026
- Readers: Everyone
DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
Wenkun He, Yuchao Gu, Junyu Chen, Dongyun Zou, Yujun Lin, Zhekai Zhang, Haocheng Xi, Muyang Li, Ligeng Zhu, Jincheng YU, Junsong Chen, Enze Xie, Song Han, Han Cai
- Submitted to ICLR 2026
- Readers: Everyone
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie
- ICLR 2026 Poster
- Readers: Everyone
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Zhen Wan, Jinchuan Tian, An-Chieh Cheng, Ligeng Zhu, Yuanhang Su, Yuming Lou, Yong-Xiang Lin, Dong Yang, Sreyan Ghosh, Zhijian Liu, Yukang Chen, Ehsan Jahangiri, Ambrish Dantrey, Daguang Xu, Ehsan Hosseini-Asl, Seyed Danial Mohseni Taheri et al. (12 additional authors not shown)
- ICLR 2026 Poster
- Readers: Everyone
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell et al. (3 additional authors not shown)
- CoRL 2025 Robot Data Workshop
- Readers: Everyone
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell et al. (3 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Scaling RL to Long Videos
Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, XIAOJUAN QI, Sifei Liu, Hongxu Yin, Yao Lu, Song Han
- NeurIPS 2025 poster
- Readers: Everyone
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu
- ICML 2025 poster
- Readers: Everyone

View all 46 publications

Co-Authors

View all 150 co-authors