I received my Ph.D. degree in Computer Science from New York University in January 2020, advised by Prof. Tembine Hamidou. Before that, I got my Master's degree in Pattern Recognition & Intelligent Systems and Bachelor's degree of Automation in 2015 and 2012 from Tongji University in Shanghai.
My primary research interest includes machine learning, computer vision, speech processing, and game theory. Recently, my research focuses on deep generative learning, which involves topics in deep neural networks, probability models, distributional robust games, and stochastic optimization.
I have published 15 papers and presented at 9 international conferences. I am an IEEE student member and serve as peer reviewer for several IEEE Transactions and international conferences.
Deep Generative Learning
Design game-theoretic models for generative learning, learn unknown data distribution through distributional robust games, study Wasserstein distance between datasets in different domains, application on image synthesis and style transfer
2015 - 2020
New York University
Ph.D. in Computer Science
Computer vision, video processing, moving object detection, Intelligent Transportation Systems
Sequential data processing, filtering & prediction, aircraft tracking, distributed control systems
2012 - 2015
Master, Pattern Recognition & Intelligent Systems
2008 - 2012
Bachelor of Engineering, Automation
2005 - 2008
Emotional speech conversion, speech synthesis, domain transfer, natural language processing