I am a Ph.D. candidate in Computer Science and Engineering at New York University, advised by Tembine Hamidou. I received the Master's degree in Pattern Recognition & Intelligent Systems and the Bachelor's degree of Automation in 2015 and 2012 from Tongji University, Shanghai, China.
My primary research interests are machine learning, computer vision, and game theory. Currently, 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 14 papers and presented at 8 international conferences. In 2017, I won the Best Paper Award at the International Conference on Wireless Networks and Mobile Communications.
I have served as a peer reviewer of the IEEE Transactions, including the IEEE Transactions on Automatic Control AND IEEE Transactions on Intelligent Transportation Systems.
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