Ang Li

PhD Candidate at The University of Melbourne

Bio

Greetings! I am Ang Li (Chinese: 李昂). Currently, I am a PhD Candidate at The University of Melbourne (Unimelb, from July 2017), under the supervision of Prof. Ramamohanarao Kotagiri. I received my master and bachelor degree from School of Computing, National University of Defense Technology in (supervised by Prof. Xiaoguang Mao). My works focus on generative adversarial networks, image/video inpainting, and forgery detection.

Interests

Artificial Intelligence
Deep Learning
Computer Vision

Education

M.E in Software Engineering, 2017

National University of Defense Technology
B.E in Software Engineering, 2014

National University of Defense Technology

Email

angl4@student.unimelb.edu.au
angli.cs@outlook.com

Internship Experience

Visiting Researcher, Apr 2019-Aug 2019

UBTECH Sydney AI Lab.

Publications

Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao and Kotagiri Ramamohanarao. Short-Term and Long-Term Context Aggregation Network for Video Inpainting . In ECCV, 2020, spotlight.

PDF

Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma and Kotagiri Ramamohanarao. Generative Image Inpainting with Submanifold Alignment . In IJCAI, 2019, oral.

PDF

Ang Li, Jianzhong Qi, Rui Zhang, and Kotagiri Ramamohanarao. Boosted GAN with Semantically Interpretable Information for Image Inpainting . IJCNN, 2019, oral.

PDF

Ang Li, Yan Lei, and Xiaoguang Mao. Towards More Accurate Fault Localization: An Approach Based on Feature Selection Using Branching Execution Probability . QRS, 2016.

PDF

Ang Li, Xiaoguang Mao, Yan Lei and Tao Ji. Fault Localization Using Failure-Related Contexts for Automatic Program Repair . IEICE, Vol. E98-D, No. 4, Apr. 2015.

PDF