About

Bio

I am a Senior Research Scientist at Waymo (formerly the Google self-driving car project).

At Waymo, I develop new technologies for autonomous vehicles across various domains including perception, planning, simulation, and mapping.

Over the summers, I have (co-)hosted the following talented interns.

- Zehao Zhu (UT Austin, now at Waymo)

- Tianyuan Huang (Stanford, now at Waymo)

Me in 2016

Education

Aug. 2017 - May. 2022

Aug. 2015 - Apr. 2017

Sep. 2011 - Jun. 2015

Industry

May. 2021 - Aug. 2021

Jul. 2022 - Now

May. 2020 - Aug. 2020

May. 2019 - Aug. 2019

May. 2018 - Aug. 2018

News

[2025/05]	Our co-CEO, Dmitri Dolgov, featured our SceneCrafter at Google I/O 2025!
[2025/03]	Our VP and Head of Research, Drago Anguelov, featured our SceneCrafter at Nvidia GTC 2025!
[2025/02]	My first paper at Waymo has been accepted to CVPR 2025!

Publications

SceneCrafter: Controllable Multi-View Driving Scene Editing

Diffusion Models Image Editing Sensor Simulation

Zehao Zhu, Yuliang Zou, Chiyu “Max” Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas Guibas, Mingxing Tan, Dragomir Anguelov

In Proceedings of the 38th Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[Paper (coming soon)] [Nvidia GTC Talk (staring at 37:21)] [Google I/O Talk (staring at 19:07)]

Learning Representational Invariances for Data-Efficient Action Recognition

Action Recognition Data Augmentation Semi-Supervised Learning

Yuliang Zou, Jinwoo Choi*, Qitong Wang, Jia-Bin Huang
(* corresponding author)

Computer Vision and Image Understanding (CVIU), 2023.

[arXiv] [Code] [Project Page]

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

Panoptic Segmentation Semantic Segmentation Test-Time Adaptation Transfer Learning

Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang

In Proceedings of the 17th European Conference on Computer Vision (ECCV), 2022.

[arXiv] [Code] [Project Page]

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Semantic Segmentation Semi-Supervised Learning

Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

In Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.

[arXiv] [Code] [Poster] [Project Page]

Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling

Sequential Learning Unsupervised Learning Visual Odometry

Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker

In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.

[arXiv] [Project Page]

DRG: Dual Relation Graph for Human-Object Interaction Detection

Graph Network Scene Understanding

Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang

In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.

[arXiv] [Code] [Project Page]

Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints

Human Sensing

Yuliang Zou, Jimei Yang, Duygu Ceylan, Jianming Zhang, Federico Perazzi, Jia-Bin Huang

In Proceedings of the 20th Winter Conference on Applications of Computer Vision (WACV), 2020.

[Code] [Data] [Paper] [Poster] [Project Page] [Video]

DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

Depth Estimation Optical Flow Unsupervised Learning

Yuliang Zou, Zelun Luo, Jia-Bin Huang

In Proceedings of the 15th European Conference on Computer Vision (ECCV), 2018.

[arXiv] [Code] [Poster] [Project Page]

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

Object Detection Scene Understanding

Chen Gao, Yuliang Zou, Jia-Bin Huang

In Proceedings of the 29th British Machine Vision Conference (BMVC), 2018

[arXiv] [Code] [Project Page]

Label-Efficient Learning of Transferable Representations across Domains and Tasks

Domain Adaptation Semi-Supervised Learning Transfer Learning

Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei

In Proceedings of the 31st Neural Information Processing Systems (NeurIPS), 2017

[arXiv] [Poster] [Project Page]

Learning to Generate Long-term Future via Hierarchical Prediction

Generative Modeling

Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee

In Proceedings of the 34th International Conference on Machine Learning (ICML), 2017

[arXiv] [Code] [Poster] [Project Page] [Slides] [SOHU News (Chinese)]

"欲买桂花同载酒，终不似，少年游。"