ABOUT ME
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.
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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.
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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).
WORK & EDUCATION
RESEARCH INTERESTS
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
ASR
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
2005 - 2008
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
Amazon
AGI, Alexa AI, Buyer Fraud Prevention (BRP)