Personal Information

I am a Research Assistant Professor in the Department of Computer Science at Hong Kong Baptist University, Hong Kong. Previously, I earned my Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology, advised by Prof. Chin-Hui Lee and Prof. Xiaoli Ma for Speech, Language, and Signal Processing research. Before academia, he was a Research Software Development Engineer in the Deep Learning Technology Center at Microsoft Research, following a Master's in Electrical Engineering from the University of Washington. 

My current research concentrates on two key areas: (1) Quantum Machine Learning, where I apply machine learning theories and algorithms to enhance the trainability, expressive power, and generalization capabilities of quantum machine learning models while also exploring noise-robust quantum circuit architectures with quantum error correction techniques; (2) Tensor Network Optimization for Machine Learning Systems, which aims to provide new insights into parameter-efficient fine-tuning and model compression techniques for state-of-the-art large language models, thereby enabling the deployment of compact deep learning models on local devices without relying on advanced pre-trained models hosted on centralized cloud infrastructures.

Research Grants

1. PI on the Quantum Machine Learning project (12203124), HK Research Grants Council, 2025.01--2026.12 

2. Co-PI on the Quantum Finance project (R6010-23), HK Research Impact Fund, 2024.07--2028.12

Teaching

1. COMP7035: Python for Data Analytics and Artificial Intelligence, Lecturer for FALL'23, 24, HKBU

2. COMP7180: Quantitative Methods for Data Analytics and Artificial Intelligence, Lecturer for FALL'24, HKBU

News and Announcement

01/2025 I have joined the program committee team in HPC/AI Integration with Quantum Computing Workshop (HAIQ) 2025

12/2024 Springer Nature Publisher has approved our proposal for book publication on Quantum Tensor Networks

11/2024 Invited academic visit to NVidia Corporation, Tokyo, Japan

10/2024 Guest lecture on Quantum Machine Learning at Tyoko University, Japan

09/2024 Won the Departmental Incentive Scheme Funding Support 

09/2024 Our QCE Tutorial on Quantum Tensor Networks in Machine Learning is online 

08/2024 Our SPL paper has been nominated as a candidate for the 2024 IEEE Signal Processing Best Paper Awards

08/2024 Our QCE Workshop on Quantum Computing and Reinforcement Learning is online

07/2024 Won the research funding from  the HK Research Grants Council 2024/25 as a PI

07/2024 I have been invited as a keynote speaker at the IJCAI'24 workshop on Quantum Algorithm, Optimization, and Artificial Intelligence