Yue Gao

Yue Gao

yuegao@cs.stanford.edu

My name is pronounced as yoo-eh.

I am an incoming PhD student in the Stanford Vision and Learning Lab, Department of Computer Science, at Stanford University. I've had a wonderful experience being advised by Prof. Jiajun Wu and Prof. Bo Zhu, and collaborating with Koven Yu.

Before Stanford, I worked as a researcher at Microsoft Research, where I focused on video generation and editing. I earned my M.S. with distinction in research, from Peking University, specializing in image generation under the supervision of Prof. Zhouhui Lian.

I am always open to research collaborations. Feel free to contact me.


Dynamic Physical World Understanding and Prediction

My primary research interests lie in computer vision and computer graphics. Specifically, I aim to enable computers to understand and predict the physical world by integrating advanced algorithms, such as perception and generative models, with foundational knowledge from physics.

Publications

FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video
Yue Gao*, Hong-Xing Yu*, Bo Zhu, Jiajun Wu
Computer Vision and Pattern Recognition (CVPR), 2025
Oral Presentation

pdf / website / code

IMF

Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu, Yan Lu
Computer Vision and Pattern Recognition (CVPR), 2024

pdf / supp / website

PECHead

High-Fidelity and Freely Controllable Talking Head Video Generation
Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu
Computer Vision and Pattern Recognition (CVPR), 2023

arXiv / pdf / supp / website

DetPro

Learning to Prompt for Open-Vocabulary Object Detection With Vision-Language Model
Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li.
Computer Vision and Pattern Recognition (CVPR), 2022

arXiv / code

SoCo

Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei*, Yue Gao*, Zhirong Wu, Han Hu, Stephen Lin
Advances in Neural Information Processing Systems (NeurIPS), 2021
Spotlight

arXiv / code

HifaFace

High-Fidelity and Arbitrary Face Editing
Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Prof. Zhouhui Lian†
Computer Vision and Pattern Recognition (CVPR), 2021

arXiv / website

Attr2Font

Attribute2Font: Creating Fonts You Want From Attributes
Yizhi Wang*, Yue Gao*, Prof. Zhouhui Lian†
SIGGRAPH, ACM Transactions on Graphics (TOG), 2020

arXiv / code

AGIS-Net

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao*, Yuan Guo*, Prof. Zhouhui Lian†, Yingmin Tang, Jianguo Xiao
SIGGRAPH Asia, ACM Transactions on Graphics (TOG), 2019

arXiv / code

* Equal contribution; † Corresponding author


Education

stanford

Stanford University

Ph.D. in Computer Science

Stanford Vision and Learning Lab

Sep. 2025 - Present


stanford

Stanford University

Remote Visiting Researcher

Stanford Vision and Learning Lab

Mar. 2024 - Dec. 2024


pku

Peking University

Master of Natural Science in Computer Applied Technology

Awards:
Excellent Graduate
Merit Student
Outstanding Student of Wangxuan Institute of Computer Technology

Advisor: Prof. Zhouhui Lian

Sep. 2018 - Jun. 2021


Work

microsoft

Microsoft Research

Researcher

Jun. 2021 - Mar. 2025


microsoft

Microsoft Research

Research Intern

Award:
Star of Tomorrow Award (Outstanding Intern)

Mentors: Fangyun Wei, Jianmin Bao, Dong Chen

Jun. 2020 - Jun. 2021


apple

Apple AI/ML

Research Intern

Mentors: Sam Li, Xiaoxu Wu, Shiyu Li.

Dec. 2019 - May 2020


Academic Service

Reviewer:

Conferences: CVPR (Outstanding Reviewer 2025), ICCV, ECCV, SIGGRAPH, AAAI, ACM Multimedia, IJCAI

Journals: TOG, TPAMI, IJCV, ACM TOMM, IEEE TMM


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