ABOUT ME

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.

EDUCATION

RESEARCH INTERESTS

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

Vehicle Tracking

Computer vision, video processing, ​moving object detection, Intelligent Transportation Systems

Reinforcement Learning

Sequential data processing, filtering & prediction, ​aircraft tracking, distributed control systems

2012 - 2015

Tongji University

Master, Pattern Recognition & Intelligent Systems

2008 - 2012

Tongji University

Bachelor of Engineering, Automation

Voice Conversion

Emotional speech conversion, speech synthesis, ​domain transfer, natural language processing

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