I am currently a Postdoctoral Researcher at the School of Computer Science, McGill University, Canada, supervised by Dr. Xue (Steve) Liu. I completed my PhD degree at University of Ottawa, Canada, from 2019 to 2023, and my supervisor is Dr. Melike Erol-Kantarci. Before that, I completed my B.Eng. in Huazhong University of Sci. and Tech. in 2016, and M.Eng. in Tianjin University in 2019, China.

About My Research

My research focuses on the intersection between AI/ML and networked systems, especially for 5G/6G, network securities, and energy trading. I am dedicated to developing novel AI/ML techniques for network problems, including resource allocation, computational task offloading, energy efficiency, and network security with intelligent attacks and defence. I am also interested in large language model (LLM)-enabled communication networks, i.e., retrieval augmented generation (RAG) for network-LLM, using LLMs for explainable network decision-making, and deploying LLMs at the network edge and cloud.

I have published more than 40 peer-reviewed papers in IEEE journals and flagship conferences. One of my papers received the Best Paper Award at the 2023 IEEE ICC conference (one of 16 papers from 2778 submissions), which is one of the flagship conferences in communication society. I also received the 2023 IEEE ComSoc CSIM TC Best Journal Paper Award for my contributions to transfer learning-enabled network slicing. My PhD Thesis entitled “ML-Based Optimization of Large-Scale Systems: Case Study in Smart Microgrids and 5G RAN” won the 2023 Faculty of Engineering’s Best Doctoral Thesis Award at University of Ottawa (1st position among all PhD graduates of the engineering faculty in 2023).

News and Updates

• 2025 Jun, we have 3 papers accepted by the 2025 International Conference on Machine Learning (ICML) Workshop on Machine Learning for Wireless Communication and Networks:
  Paper 1: “Prompting Wireless Networks: Reinforced In-Context Learning for Power Control”
  Paper 2: “Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management”
  Paper 3: “Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks”
  Congratulations to all authors and collaborators! We are actively exploring top AI/ML conferences!

• 2025 Jun, I will give a tutorial about “Generative Foundation Models (GFMs) For NextG Communication Networks: Fundamentals, Key Techniques, and Future Directions” on 2025 IEEE ICC, Montreal, Jun. 8!

• 2025 Apr, our paper “Generative AI for Immersive Video: Recent Advances and Future Opportunities” has been accepted by 2025 International Joint Conference on Artificial Intelligence (IJCAI)!

• 2025 Apr, our paper “Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks” has been accepted by IEEE Trans. on Wireless Communications!

• 2025 Mar, our paper “Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation” has been accepted by 2025 IEEE ICC Workshop!

• 2025 Feb, our paper “A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks” has been accepted by IEEE Trans. on Wireless Communications!

• 2025 Feb, I will present an invited talk on “Large Language Models for Next Generation Wireless Networks” at Department of Engineering, King’s College London, UK.

• 2025 Feb, our paper “Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving” has been accepted by IEEE Wireless Communications Letters!

• 2025 Jan, our tutorial proposal “Generative Foundation Models (GFMs) For NextG Communication Networks: Fundamentals, Key Techniques, and Future Directions” has been accepted as a half-day tutorial at the 2025 IEEE International Conference on Communications (ICC).