About

I am currently a postdoctoral fellow at The Hong Kong Polytechnic University. I completed my Ph.D. at City University of Hong Kong, advised by Prof. Qing Li. My research interests are in the areas of computer vision and deep learning. Recently I’m interested in generative adversarial networks and domain adaptation.

Before starting my Ph.D. study, I received a B.Eng. in Information Security from Nankai University in 2011 and a M.Phil. in Computer Science from City University of Hong Kong in 2014. During 2014-2016, I worked as a senior algorithm engineer at Institute of Data Science and Technology (iDST) of Alibaba.

Email: xudong.xdmao@gmail.com


Publications

Virtual Mixup Training for Unsupervised Domain Adaptation
Xudong Mao*,Yun Ma*, Zhenguo Yang, Yangbin Chen, Qing Li
[*indicates equal contribution]
Preprint, 2019
[arXiv] [code]

On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), to appear 2018
[arXiv] [code] [dataset]

Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Xudong Mao and Qing Li
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[arXiv] [code]

Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley
International Conference on Computer Vision (ICCV), 2017
[arXiv] [code]


Working Experience

Postdoctoral Fellow
02.2019 - now, Hong Kong
Department of Computing, The Hong Kong Polytechnic University

Senior Algorithm Engineer
08.2014 - 08.2016, Hangzhou, China
Institute of Data Science and Technology (iDST), Alibaba


Academic Service

Reviewer for journals: IJCV, TIP, TNNLS, PR, TIST
Reviewer for conferences: CVPR, ICCV, AAAI, ACM MM, ACM KDD


Awards

Outstanding Research Thesis Award, 2019
Hong Kong PhD Fellowship Scheme (HKPFS), 2016-2019
Chow Yei Ching School of Graduate Studies Entrance Scholarships, 2016-2017
Research Tuition Scholarships, 2017-2019