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About Me
About Me
I received my Ph.D. degree in Computer Science from McGill University. I am fortunate to be advised by Prof. Xue (Steve) Liu.
Prior to joining McGill, I received my M.Sc. degree from Concordia Institute for Information Systems Engineering (CIISE), Concordia University in 2019, under the supervision of Prof. Jun Yan and Prof. Chun Wang.
More: Email, LinkedIn, Google Scholar
Research Interests
Research Interests
My research interests lie at the intersection of AI and Networked Systems. I am passionate about investigating innovative AI solutions to manage and optimize the efficiency, security, and robustness of networked systems, with a particular emphasis on smart grids, cyber-physical systems, and communication systems. My recent research focuses on:
LLM-driven communication systems.
Efficient AI.
Cyber-physical security and smart grids.
Recent News
Recent News
May 2026: Our paper "FedFit: Federated Dynamic Sparse Training via Fisher Information Scoring" has been accepted by the 43rd International Conference on Machine Learning (ICML) ! Notably, I was honored to be recognized as a Gold Reviewer, placing me among the top reviewers for this year's conference.
May 2026: Our review paper "Rethinking Machine Learning Performance Metrics in Distributed Energy Resource Systems: A Concise Review" has been accepted by the 2026 ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy) / ACM Sustainability Week Workshop on Energy Data and Analytics (EDA). Looking forward to presenting this work in beautiful Banff this June!
March 2026: Successfully defended my Ph.D. oral examination! A challenging yet fulfilling milestone achieved! 🎉
Feb. 2026: Glad to share that three of our papers have been featured in the IEEE ComSoc Best Readings 2025.
✅ "Self-Refined Generative Foundation Models for Wireless Traffic Prediction," in IEEE Transactions on Vehicular Technology.
✅ "Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective," in IEEE Wireless Communications Magazine.
✅ "Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities," in IEEE Communications Surveys & Tutorials .
Jan. 2026: Our paper "Privis: Towards Content-Aware Secure Volumetric Video Delivery" has been accepted by the 2026 IEEE International Conference on Communications (ICC). See you in Glasgow this summer!
Dec. 2025: Serve as Contributor of IEEE ComSoc Best Readings in "Generative Foundation Models for NextG Communication Networks".
Nov. 2025: Our paper "Self-Refined Generative Foundation Models for Wireless Traffic Prediction" has been accepted by IEEE Transactions on Vehicular Technology.
Education
Education
Ph.D. in Computer Science, McGill University, Canada, 2019 - 2026
M.Sc. in Quality Systems Engineering, Concordia University, Canada, 2017 - 2019
B.Eng. in Software Engineering, Northwest University, China, 2013 - 2017
Get in touch
Get in touch
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