About

Short Bio

Minrui Xu received the B.S. degree from Sun Yat-sen University in 2021, and the Ph.D. degree from Nanyang Technological University in 2025, supervised by Prof. Dusit Niyato (IEEE Fellow). He has published 25+ first-author papers in top-tier journals (e.g., IEEE COMST, ToN, JSAC, JSTSP), flagship conferences (e.g., IEEE ICC, Globecom).

His research interests include 6G Wireless Networking, Generative AI & LLMs, Metaverse & Digital Twins, Quantum Internet & QML, Federated Learning, Deep Reinforcement Learning, and Auction & Game Theory. His work includes some of the early studies on edge-enabled metaverse systems, mobile generative AI services, and mobile quantum computing.

Education

Working Experience

News

• 2026-03 Two papers accepted by IEEE Transactions on Networking (ToN)!
• 2025-05 Won the Best Paper Award at IEEE ICC 2025.
• 2025-05 Released survey: Forewarned is Forearmed: LLM-based Agents in Autonomous Cyberattacks.
• 2025-04 Invited talk at NTU Quantum Hub, School of Physical and Mathematical Sciences.
• 2024-10 Received the IEEE VTS Daniel E. Noble Fellowship at IEEE VTC 2024.

Selected Publications

Representative work spanning AI-native networking, edge intelligence, and mechanism design.

1. ToN 2026 Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-Based Model Caching and Inference Offloading

   Minrui Xu, Dusit Niyato, and Christopher G. Brinton. IEEE Transactions on Networking.

   Research Highlight. This work studies test-time reinforcement learning for model caching and inference offloading in long-context LLM serving at the mobile edge.
2. ToN 2026 Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in SAGIN

   Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han. IEEE Transactions on Networking.

   Research Highlight. This work studies provisioning LLM agents in SAGIN as a networking-oriented resource management problem.
3. ComST 2024 Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

   Minrui Xu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Abbas Jamalipour, Dong In Kim, Xuemin Shen, et al. IEEE Communications Surveys & Tutorials.

   Research Highlight. Among the early survey works on mobile AIGC systems and edge-cloud generative AI services in wireless networks.
4. WCM 2024 When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

   Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Dong In Kim, and Khaled B. Letaief. IEEE Wireless Communications.

   Research Highlight. One of the early studies on LLM agents in 6G, focusing on perception, grounding, and alignment.
5. ComST 2023 A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

   Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, and Chunyan Miao. IEEE Communications Surveys & Tutorials.

   Research Highlight. Among the early survey works on the edge-enabled metaverse from a mobile networking perspective.
6. JSAC 2023 EPViSA: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Metaverse

   Minrui Xu, Dusit Niyato, Benjamin Wright, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han. IEEE Journal on Selected Areas in Communications.

   Research Highlight. This work studies mechanism design for real-time physical-virtual synchronization under externalities and information asymmetry.

See all publications »

Hobbies

Street Workout

I have been interested in street workout for almost ten years.

Dragon Boat

We (Dragon Boat Racing Team, SYSU) won the champion in 2019 Guangzhou International Dragon Boat Invitational Tournament.

Sponsors