About Me

I am a Ph.D. student in Computer Science at McGill University, working under the supervision of Prof. Xue (Steve) Liu. I am also affiliated with the Mila – Quebec AI Institute, where I conduct research at the intersection of artificial intelligence, telecommunications, and Web3 systems.

My work focuses on developing domain-specialized large language models (LLMs) for telecom applications, leveraging techniques such as knowledge graph-enhanced retrieval-augmented generation (KG-RAG), RLHF-based LLM optimization, and adaptive inference (e.g., Adaptive Budget Forcing). I am also exploring cryptographic protocols and decentralized AI in Web3 environments.

I previously interned at the Samsung AI Center - Montreal (2021–2023), contributing to 5G-based XR systems and edge-cloud intelligence. I hold a Master's in Computing from Imperial College London and a Bachelor's in Automation Engineering from Xi’an Jiaotong University. I also completed a semester exchange at Columbia University.

My recent research includes:

• LLM-enabled Power Control Optimization via in-context learning in wireless networks.
• Generative AI as a Service in 6G Edge-Cloud with multi-agent task offloading.
• Multi-objective resource allocation using fairness-aware particle swarm optimization.
• Secure data retrieval protocols for decentralized storage and ZK-powered verifiability.

I have received the Graduate Excellence Awards from McGill (2022–2024), and previously earned national awards in AI robotics and mathematical modeling competitions in China.