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.


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


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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