Yuliang Zou

Ph.D. student
Department of Electrical and Computer Engineering
Virginia Tech
ylzou [at] vt [dot] edu



I am a second-year Ph.D. student in Computer Engineering at Virginia Tech. I work with Prof. Jia-Bin Huang. My recent research interests focus on deep generative modeling and video analysis.

Before that, I have worked with Prof. Honglak Lee, Dr. Yuting Zhang and Dr. Ruben Villegas during my masters at University of Michigan, Ann Arbor, and Prof. Xiaojin Gong during my undergrad at Zhejiang University.

In 2018 summer, I was fortunate to intern at Adobe Research, working with Dr. Jimei Yang, Dr. Duygu Ceylan, Dr. Jianming Zhang, and Dr. Federico Perazzi. In 2017 summer, I had my wonderful time visiting California and working with Zelun Luo and Dr. Judy Hoffman.

My CV is available here (last updated on Oct. 2018).


Aug. 2017 - Present

Aug. 2015 - Apr. 2017

Sep. 2011 - Jun. 2015


May. 2019 - Aug. 2019

May. 2018 - Aug. 2018


Teaching Assistant     

ECE 5554 / ECE 4554 (Computer Vision), Fall 2018 [link]

Teaching Assistant     

ECE 5554 / ECE 4554 (Computer Vision), Fall 2017 [link] [tutorial] [Guest Lecture on Object Detection]

Professional Activities

Conference Reviewer     

CVPR 2019, ICML 2019, ICCV 2019, BMVC 2019, NeurIPS 2019, AAAI 2020

Journal Reviewer     


Workshop Reviewer     

AI City Challenge Workshop 2018, 2019



I will be a member of the Program Committee (reviewer) for AAAI 2020.


I will intern at NEC Labs America, advised by Dr. Pan Ji (Summer 2019).


I will be an official reviewer for NeurIPS 2019.


I will be an official reviewer for ICCV 2019 and BMVC 2019.


I will be an official reviewer for CVPR 2019 and ICML 2019.


I gave a presentation at the 1st Person in Context (PIC) Workshop and Challenge.



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


Yuliang Zou, Chen Gao, Alexander Schwing, Jia-Bin Huang


Chen Gao, Yuliang Zou, Jia-Bin Huang

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 (NIPS), 2017

[arXiv] [Poster] [Project Page]

Learning to Generate Long-term Future via Hierarchical Prediction

Generative Modeling Video Analysis

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)]



Automatic Group Photograph Enhancement

Face Detection Image Manipulation

Yuliang Zou, Zhusheng Wang, Yayan Zhao, Enpei Xi

[Report] [Code]

Single-Machine MapReduce Server

Distributed System

Yuliang Zou


Free Food Calendar

Information Retrieval Web Development

Yuliang Zou*, Haoran Wang*, Sang Hyuk Cho*, Connor Larson*


VR-Chat: Virtual Reality Based Online Chatroom

Kinect Mobile Development Unity3D Virtual Reality

Peifeng Yu, Rui Chen, Yuliang Zou, Yixiang Wu

[Code] [Website]


Relevant Courses Taken

STAT5444 - Bayesian Statistics [website]

ECE5454 - Optimization Techniques

CS5984 - Deep Learning

EECS442 - Computer Vision

EECS498 - Information Retrieval

EECS551 - Matrix Methods

EECS542 - Advanced Topics in Computer Vision

EECS545 - Machine Learning

EECS598 - Random Matrix Theory

CSE - Numerical Method

ISEE - Fundamentals of Information Theory

ISEE - Fundamentals of Digital Video and Audio

cs294a - Unsupervised Feature Learning and Deep Learning [website]

cs231n - Convolutional Neural Networks for Visual Recognition [website]

ee364a - Convex Optimization I [website]

UCL_RL - Reinforcement Learning (Ongoing) [website]

cs236 - Deep Generative Models (Ongoing) [website]

Reading Group

I am taking charge of the VT Vision and Learning Reading Group this semester. If you are at VT, feel free to join us.

About My Name

My given name is Yuliang (瑜亮), which comes from two famous characters in the Three Kindoms. And my family name is Zou (邹).

My English name is Zack. You can also call me Y.L. Anyway, call whatever you like. :)