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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. I am Applied Scientist in Amazon Artificial General Intelligence (AGI) team.

My primary research interest includes machine learning, computer vision, speech processing, and game theory. Recently, my research focuses on large language model (LLM) reward modeling & reinforcement learning from human feedback (RLHF), human labeling with model in the loop (MIL), retrieval-augmented generation (RAG), voice conversion and speech anonymization.

I have published 18 papers and presented at 9 international conferences. I am IEEE member and serve as Area Chair for Amazon Machine Learning Conference (2021-2023).



Generative AI

Design deep generative models for text and image, learn unknown data distribution based on optimal transportation cost. Application in style transfer.

2015 - 2020

New York University
Ph.D. in Computer Science

Vehicle Tracking

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


Human transcription quality improvement, audio-text alignment for transcription error detection

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

LLM Reward Model

Develop LLM ranking model to support RLHF, LLM human evaluation with model-in-the-loop

2020 - 2023

AGI, Alexa AI, Buyer Fraud Prevention (BRP)

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