De-An Huang

Research Scientist, NVIDIA

Joined

February 2019

Names

De-An Huang

De-an Huang

Emails

****@cs.stanford.edu (Confirmed)

****@gmail.com (Confirmed)

****@nvidia.com (Confirmed)

Personal Links

Career & Education History

Research Scientist

NVIDIA (nvidia.com)

2020 – Present

PhD student

Stanford University (stanford.edu)

2015 – 2020

MS student

Carnegie Mellon University (cmu.edu)

2013 – 2014

Advisors, Relations & Conflicts

Advisor

Juan Carlos Niebles

2016 – Present

PhD Advisor

Li Fei-Fei

2015 – 2020

PhD Advisor

Juan Carlos Niebles

2015 – 2020

Coauthor

Juan carlos Niebles

2016 – 2016

Coauthor

Kris makoto Kitani

2014 – 2016

Coauthor

Leonid Sigal

2015 – 2015

Coauthor

Yu-chiang frank Wang

2011 – 2014

Expertise

Video Understanding

Present

Publications

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
Shihao Wang, Guo Chen, De-An Huang, Zhiqi Li, Minghan Li, Guilin Liu, Jose M. Alvarez, Lei Zhang, Zhiding Yu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
ARDuP: Active Region Video Diffusion for Universal Policies
Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava
- IROS 2025
- Readers: Everyone
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
- NeurIPS 2025 poster
- Readers: Everyone
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
- ICLR 2025 Poster
- Readers: Everyone
X-VILA: Cross-Modality Alignment for Large Language Models
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu
- ICLR 2025 Spotlight
- Readers: Everyone
What is Point Supervision Worth in Video Instance Segmentation?
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
- CoRR 2024
- Readers: Everyone
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
- CVPR 2024
- Readers: Everyone
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu
- CoRR 2024
- Readers: Everyone
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
- CoRR 2024
- Readers: Everyone

View all 113 publications

Co-Authors

View all 166 co-authors