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.
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).
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)