I am a second-year Ph.D. student in the Department of Computer Science at University of Pittsburgh. Before coming to Pitt, I obtained my B.S. in Chemical Biology from Peking University, China, in 2013.

My research interests lie broadly in artificial intelligence and machine learning, including the applications in computer vision and natural language processing. I am co-advised by Prof. Adriana Kovashka and Prof. Rebecca Hwa.


Automatic Advertisement Understanding

We propose a novel problem of automatic advertisement understanding, and create two new datasets containing rich annotations to facilitate relevant research. We also analyze the most common persuasion strategies ads use, and the capabilities that computer vision systems should have to understand these strategies. We present baseline classification results for several prediction tasks, including automatically answering questions about the ads.

Z. Hussain, M. Zhang, X. Zhang, K. Ye, C. Thomas, Z. Agha, N. Ong, A. Kovashka.
Automatic Understanding of Image and Video Advertisements.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017. (Spotlight)
(project) (pdf) (poster) (slides)


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Last Updated: Mar 13, 2018