I am currently a Senior Research Engineer at Samsung Research America. I was previously 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 nearly 50 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

• 2026 Jan, we are pleased to announce the International Workshop on Industrial Physical AI will be held at ACM International Conference on Multimedia (ACM MM 2026) in Rio de Janeiro, Nov 10–14, 2026. here.

• 2026 Feb,”Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation” is accepted by IEEE Wireless Communications Magazine”. This work proposed KG-RAG, a dynamic and explainable framework that tightly integrates LLMs with telecom Knowledge Graphs (KGs).

• 2026 Feb, two papers are accepted on the same day!
  “Frsicl: Llm-enabled in-context learning flight resource allocation for fresh data collection in UAV-assisted wildfire monitoring” is accepted by IEEE Internet of Things Journal,
  and “From prompts to protection: Large language model-enabled in-context learning for smart public safety UAV accepted by IEEE Wireless Communications Magazine”
  A wonderful day on Chinese New Year!

• 2026 Jan, we are pleased to announce W22 – “𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐆𝐞𝐧𝐀𝐈 𝐟𝐨𝐫 𝐒𝐦𝐚𝐫𝐭 𝐑𝐚𝐝𝐢𝐨 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬”, 𝐚 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐭𝐫𝐚𝐜𝐤 𝐨𝐟 𝐕𝐓𝐂 2026-𝐒𝐩𝐫𝐢𝐧𝐠, which will be held in Nice, France 9 - 12 June 2026 here.

• 2025 Dec, our IEEE ComSoc Best Readings “Generative Foundation Models for NextG Communication Networks” is now available here.

• 2025 Dec, attended the 2025 IEEE Globecom and present our paper “Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain” in Taipei, Taiwan.

• 2025 Dec, I will give a talk on 6GIC-CLICK meeting in Institute for Communication Systems (ICS) at University of Surrey. The talk will introduce “Understanding 6G through Language Models: From Structured Knowledge Extraction to Knowledge-Grounded Reasoning”.

• 2025 Nov, our paper “Self-Refined Generative Foundation Models for Wireless Traffic Prediction,” has been accepted by IEEE Transactions on Vehicular Technology. Our work investigates the usage of LLMs for network traffic prediction. It reveals that self-refined generative foundation models can efficiently improve their prediction performance with minimal human intervention.

• 2025 Oct, I will start the Senior Research Engineer position in Samsung Research America.

• 2025 Sep, our paper “LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks,” is accepted by IEEE Internet of Things Journal. This work explores how LLM-enabled in-context learning can be used to optimize UAV operation for sensor data collection.

• 2025 Sep, served as the Program Committee (PC) member of AI4NextG Workshop at NeurIPS 2025.

• 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).