Minrui Xu

Ph.D. Student

College of Computing and Data Science
Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab
Nanyang Technological University

Office: CNCL, Block N4-B2a-1, 50 Nanyang Ave, Singapore 639798.
Email: [MINRUI001 AT e.ntu.edu.sg]
Google Scholar

Short Bio

Minrui Xu received B.S. degree from Sun Yat-sen University, Guangzhou, China, in 2021. He is currently working toward the Ph.D. degree in the College of Computing and Data Science, Nanyang Technological University, Singapore, supervised by Prof. Dusit Niyato, Fellow of IEEE.

His research interests broadly focus on Metaverse, mobile edge computing, deep reinforcement learning, and mechanism design. He initiated several new fields such as edge-enabled Metaverse, mobile generative AI services, and mobile quantum computing.

Education Background

• Ph.D.:  Nanyang Technological University,  Aug. 2021 - Present
  Supervisor: Prof. Dusit Niyato, IEEE Fellow.
  

• Visiting Ph.D.:  University of Waterloo,  May 2024 - Jun. 2024
  Supervisor: Prof. Xuemin (Sherman) Shen, IEEE Fellow.
  

• Visiting Ph.D.:  Sungkyunkwan University,  Jun. 2023 - Jul. 2023
  Supervisor: Prof. Dong In Kim, IEEE Fellow.
  

• Virtual Exchange Ph.D.:  University of Bern,  Jan. 2023 - May 2023
  Supervisor: Prof. Torsten Braun.
  

• B.S.:  Sun Yat-sen University,  Sep. 2017 - Jun. 2021
  Supervisor: Prof. Wuhui Chen.
  

Working Experience

• Research Assistant: National Institute of Education, Nanyang Technological University (NTU), Singapore, Apr. 2025 - Jun. 2025
  Supervisor: Prof. Quek Choon Lang Gwendoline. Investigating GPT for Enhancing Teaching and Learning: User Readiness and Strategies
  

Papers

Highlights

1. [Preprint]  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.
   arXiv preprint arXiv:2501.14205, 2025. Submitted to IEEE/ACM Transactions on Networking.
   

2. [Preprint]  Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks,
   Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
   arXiv preprint arXiv:2403.05826, 2024. Submitted to IEEE/ACM Transactions on Networking.
   

3. [WCM]  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, vol. 31, pp. 63-71, 2024.
   

Book

1. [Book]  Communication and computing in edge-enabled metaverse,
   Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, and Dusit Niyato.
   Realizing the Metaverse: A Communications and Networking Perspective, pp. 19-61, John Wiley & Sons, Inc. Hoboken, NJ, USA, 2024.
   

2. [Book]  Edge computing technologies for metaverse,
   Minrui Xu and Dusit Niyato.
   Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, pp. 183-204, John Wiley & Sons, Inc. Hoboken, NJ, USA, 2023.
   

Journal and Magazine

1. [TCCN]  Multi-attribute auction-based resource allocation for twins migration in vehicular metaverses: A gpt-based drl approach,
   Yongju Tong, Junlong Chen, Minrui Xu, Jiawen Kang, Zehui Xiong, Dusit Niyato, Chau Yuen, and Zhu Han.
   IEEE Transactions on Cognitive Communications and Networking, vol. 11, pp. 638-654, 2025.
   

2. [TSC]  pfedcal: Lightweight personalized federated learning with adaptive calibration strategy,
   Dongshang Deng, Xuangou Wu, Tao Zhang, Chaocan Xiang, Wei Zhao, Minrui Xu, Jiawen Kang, Zhu Han, and Dusit Niyato.
   IEEE Transactions on Services Computing, 2025.
   

3. [IoTJ]  Efficient iov resource management through enhanced clustering, matching, and offloading in dt-enabled edge computing,
   Xiaoming Yuan, Wenyuan Zhang, Jiayu Yang, Minrui Xu, Dusit Niyato, Qingxu Deng, and Changle Li.
   IEEE Internet of Things Journal, vol. 11, pp. 30172-30186, 2024.
   

4. [Electronics]  Efficient inference offloading for mixture-of-experts large language models in internet of medical things,
   Xiaoming Yuan, Weixuan Kong, Zhenyu Luo, and Minrui Xu.
   Electronics, vol. 13, p. 2077, 2024.
   

5. [WCM]  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, vol. 31, pp. 63-71, 2024.
   

6. [ComMag]  Generative ai-enabled mobile tactical multimedia networks: Distribution, generation, and perception,
   Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, and Dong In Kim.
   IEEE Communications Magazine, vol. 62, pp. 96-102, 2024.
   

7. [CST]  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, vol. 26, pp. 1127-1170, 2024.
   

8. [TVT]  Compressing deep reinforcement learning networks with a dynamic structured pruning method for autonomous driving,
   Wensheng Su, Zhenni Li, Minrui Xu, Jiawen Kang, Dusit Niyato, and Shengli Xie.
   IEEE Transactions on Vehicular Technology, vol. 73, pp. 18017-18030, 2024.
   

9. [PIEEE]  Building resilient web 3.0 infrastructure with quantum information technologies and blockchain: An ambilateral view,
   Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chao Qiu, Haipeng Yao, and Xiaofei Wang.
   Proceedings of the IEEE, vol. 112, pp. 1686-1715, 2024.
   

10. [TSC]  Paramart: Parallel resource allocation based on blockchain sharding for edge-cloud services,
    Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Chao Qiu, and Xiaofei Wang.
    IEEE Transactions on Services Computing, vol. 17, pp. 1655-1669, 2024.
    

11. [JSTSP]  Esqfl: Digital twin-driven explainable and secured quantum federated learning for voltage stability assessment in smart grids,
    Chao Ren, Zhao Yang Dong, Han Yu, Minrui Xu, Zehui Xiong, and Dusit Niyato.
    IEEE Journal of Selected Topics in Signal Processing, vol. 18, pp. 964-978, 2024.
    

12. [IoTJ]  Enhancing federated learning performance on heterogeneous iot devices using generative artificial intelligence with resource scheduling,
    Zezhao Meng, Zhi Li, Xiangwang Hou, Minrui Xu, Yi Xia, Zekai Zhang, and Shaoyang Song.
    IEEE Internet of Things Journal, 2024.
    

13. [IoTJ]  Blockchain and trusted hardware-enabled data scheduling for edge learning in wireless iiot,
    Tianhao Liu, Jiqiang Liu, Tao Zhang, Jian Wang, Zhenhui Yuan, Minrui Xu, Di Zhai, Tianxi Wang, Hongyang Du, and Dusit Niyato.
    IEEE Internet of Things Journal, vol. 11, pp. 34229-34242, 2024.
    

14. [IoTJ]  Tiny multiagent drl for twins migration in uav metaverses: A multileader multifollower stackelberg game approach,
    Jiawen Kang, Yue Zhong, Minrui Xu, Jiangtian Nie, Jinbo Wen, Hongyang Du, Dongdong Ye, Xumin Huang, Dusit Niyato, and Shengli Xie.
    IEEE Internet of Things Journal, vol. 11, pp. 21021-21036, 2024.
    

15. [JAS]  Uav-assisted dynamic avatar task migration for vehicular metaverse services: A multi-agent deep reinforcement learning approach,
    Jiawen Kang, Junlong Chen, Minrui Xu, Zehui Xiong, Yutao Jiao, Luchao Han, Dusit Niyato, Yongju Tong, and Shengli Xie.
    IEEE/CAA Journal of Automatica Sinica, vol. 11, pp. 430-445, 2024.
    

16. [TCOM]  Multi-agent ddpg based resource allocation in noma-enabled satellite iot,
    Furong Chai, Qi Zhang, Haipeng Yao, Xiangjun Xin, Fu Wang, Minrui Xu, Zehui Xiong, and Dusit Niyato.
    IEEE Transactions on Communications, vol. 72, pp. 6287-6300, 2024.
    

17. [TVT]  Identifier-driven resource orchestration with quantum computing for differentiated services in iot-mmec networks,
    Zhengyang Ai, Weiting Zhang, Jiawen Kang, Minrui Xu, Dusit Niyato, and Stephen John Turner.
    IEEE Transactions on Vehicular Technology, vol. 73, pp. 9958-9971, 2024.
    

18. [TMM]  Learning-based auction for matching demand and supply of holographic digital twin over immersive communications,
    XiuYu Zhang, Minrui Xu, Rui Tan, and Dusit Niyato.
    IEEE Transactions on Multimedia, vol. 26, pp. 5884-5896, 2023.
    

19. [Network]  When quantum information technologies meet blockchain in web 3.0,
    Minrui Xu, Xiaoxu Ren, Dusit Niyato, Jiawen Kang, Chao Qiu, Zehui Xiong, Xiaofei Wang, and Victor CM Leung.
    IEEE Network, vol. 38, pp. 255-263, 2023.
    

20. [VTM]  Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services,
    Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
    IEEE Vehicular Technology Magazine, vol. 18, pp. 35-44, 2023.
    

21. [JSAC]  Epvisa: Efficient auction design for real-time physical-virtual synchronization in the human-centric 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, vol. 42, pp. 694-709, 2023.
    

22. [JSTSP]  Generative ai-empowered simulation for autonomous driving in vehicular mixed reality metaverses,
    Minrui Xu, Dusit Niyato, Junlong Chen, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
    IEEE Journal of Selected Topics in Signal Processing, vol. 17, pp. 1064-1079, 2023.
    

23. [CST]  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, vol. 25, pp. 656-700, 2023.
    

24. [IoTJ]  Qfdsa: A quantum-secured federated learning system for smart grid dynamic security assessment,
    Chao Ren, Rudai Yan, Minrui Xu, Han Yu, Yan Xu, Dusit Niyato, and Zhao Yang Dong.
    IEEE Internet of Things Journal, vol. 11, pp. 8414-8426, 2023.
    

25. [ComMag]  Dqc2o: Distributed quantum computing for collaborative optimization in future networks,
    Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu, and Xuemin Shen.
    IEEE Communications Magazine, vol. 61, pp. 188-194, 2023.
    

26. [GetMobile]  An overview of 3gpp standardization for extended reality (xr) in 5g and beyond,
    Qinpei Luo, Hongliang Zhang, Minrui Xu, Boya Di, Anthony Chen, Shiwen Mao, Dusit Niyato, and Zhu Han.
    GetMobile: Mobile Computing and Communications, vol. 27, pp. 10-17, 2023.
    

27. [TVT]  Mechanism design for semantic communication in uav-assisted metaverse: A combinatorial auction approach,
    Zi Qin Liew, Minrui Xu, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, and Dong In Kim.
    IEEE Transactions on Vehicular Technology, vol. 73, pp. 2236-2251, 2023.
    

28. [IoTJ]  Cooperative resource management in quantum key distribution (qkd) networks for semantic communication,
    Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang, and Xuemin Shen.
    IEEE Internet of Things Journal, vol. 11, pp. 4454-4469, 2023.
    

29. [Network]  Ai-generated network design: A diffusion model-based learning approach,
    Yudong Huang, Minrui Xu, Xinyuan Zhang, Dusit Niyato, Zehui Xiong, Shuo Wang, and Tao Huang.
    IEEE Network, vol. 38, pp. 202-209, 2023.
    

30. [TVT]  Decentralized multimedia data sharing in iov: A learning-based equilibrium of supply and demand,
    Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, and Kwok-Yan Lam.
    IEEE Transactions on Vehicular Technology, vol. 73, pp. 4035-4050, 2023.
    

31. [TMC]  Performance analysis and power allocation for covert mobile edge computing with ris-aided noma,
    Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, and Shunmin Zhu.
    IEEE Transactions on Mobile Computing, vol. 23, pp. 4212-4227, 2023.
    

32. [IoTJ]  Multiagent deep reinforcement learning for dynamic avatar migration in aiot-enabled vehicular metaverses with trajectory prediction,
    Junlong Chen, Jiawen Kang, Minrui Xu, Zehui Xiong, Dusit Niyato, Chuan Chen, Abbas Jamalipour, and Shengli Xie.
    IEEE Internet of Things Journal, vol. 11, pp. 70-83, 2023.
    

33. [GetMobile]  An introduction to point cloud compression standards,
    Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, Dusit Niyato, and Zhu Han.
    GetMobile: Mobile Computing and Communications, vol. 27, pp. 11-17, 2023.
    

34. [JSTSP]  Privacy-preserving intelligent resource allocation for federated edge learning in quantum internet,
    Minrui Xu, Dusit Niyato, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Dong In Kim, and Xuemin Shen.
    IEEE Journal of Selected Topics in Signal Processing, vol. 17, pp. 142-157, 2022.
    

35. [WCM]  Quantum-secured space-air-ground integrated networks: Concept, framework, and case study,
    Minrui Xu, Dusit Niyato, Zehui Xiong, Jiawen Kang, Xianbin Cao, Xuemin Sherman Shen, and Chunyan Miao.
    IEEE Wireless Communications, vol. 30, pp. 136-143, 2022.
    

36. [WCM]  Secure and reliable transfer learning framework for 6g-enabled internet of vehicles,
    Minrui Xu, Dinh Thai Hoang, Jiawen Kang, Dusit Niyato, Qiang Yan, and Dong In Kim.
    IEEE Wireless Communications, vol. 29, pp. 132-139, 2022.
    

37. [JSAC]  Compact learning model for dynamic off-chain routing in blockchain-based iot,
    Zhenni Li, Wensheng Su, Minrui Xu, Rong Yu, Dusit Niyato, and Shengli Xie.
    IEEE Journal on Selected Areas in Communications, vol. 40, pp. 3615-3630, 2022.
    

38. [TNSE]  Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things,
    Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato, and Qiang Yan.
    IEEE Transactions on Network Science and Engineering, vol. 9, pp. 2966-2977, 2022.
    

39. [IoTJ]  Multiagent federated reinforcement learning for secure incentive mechanism in intelligent cyber–physical systems,
    Minrui Xu, Jialiang Peng, Brij B Gupta, Jiawen Kang, Zehui Xiong, Zhenni Li, and Ahmed A Abd El-Latif.
    IEEE Internet of Things Journal, vol. 9, pp. 22095-22108, 2021.
    

40. [IoTJ]  Noma-enabled cooperative computation offloading for blockchain-empowered internet of things: A learning approach,
    Zhenni Li, Minrui Xu, Jiangtian Nie, Jiawen Kang, Wuhui Chen, and Shengli Xie.
    IEEE Internet of Things Journal, vol. 8, pp. 2364-2378, 2020.
    

Conferneces

1. [ACM MM]  One-shot-but-not-degraded federated learning,
   Hui Zeng, Minrui Xu, Tongqing Zhou, Xinyi Wu, Jiawen Kang, Zhiping Cai, and Dusit Niyato.
   ACM Multimedia, 2024.
   

2. [ICC Workshops]  Fluid antenna relay assisted communication systems through antenna location optimization,
   Ruopeng Xu, Yixuan Chen, Jiawen Kang, Minrui Xu, Zhaohui Yang, Chongwen Huang, and Niyato Dusit.
   IEEE International Conference on Communications Workshops, pp. 1140-1145, 2024.
   

3. [GAIS]  Deep reinforcement learning based multi-attribute auction model for resource allocation in vehicular aigc services,
   Yongju Tong, Jiawen Kang, Junlong Chen, Minrui Xu, Helin Yang, Minghui Xu, Renchao Xie, and Zehui Xiong.
   International Conference on Generative Artificial Intelligence and Information Security, pp. 36-42, 2024.
   

4. [ICC]  Variational quantum circuit and quantum key distribution-based quantum federated learning: A case of smart grid dynamic security assessment,
   Chao Ren, Minrui Xu, Han Yu, Zehui Xiong, Zhenyong Zhang, and Dusit Niyato.
   IEEE International Conference on Communications, pp. 1115-1120, 2024.
   

5. [ICOIN]  Ai-generated bidding for immersive aigc services in mobile edge-empowered metaverse,
   Zi Qin Liew, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, and Dong In Kim.
   International Conference on Information Networking, pp. 305-309, 2024.
   

6. [ICC]  Deep reinforcement learning-based moving target defense for multicast in software-defined satellite networks,
   Yibo Lian, Tao Zhang, Changqiao Xu, Wei Dong, Minrui Xu, Zhenyu Xiahou, Jiawen Kang, Jiqiang Liu, and Dusit Niyato.
   IEEE International Conference on Communications, pp. 4786-4791, 2024.
   

7. [ICC]  On-demand quantization for green federated generative diffusion in mobile edge networks,
   Bingkun Lai, Jiayi He, Jiawen Kang, Gaolei Li, Minrui Xu, Shengli Xie, et al.
   IEEE International Conference on Communications, pp. 2883-2888, 2024.
   

8. [SWC]  Hyperdimensional computing empowered federated foundation model over wireless networks for metaverse,
   Yahao Ding, Wen Shang, Minrui Xu, Zhaohui Yang, Ye Hu, Dusit Niyato, and Mohammad Shikh-Bahaei.
   IEEE Smart World Congress, pp. 2187-2194, 2024.
   

9. [ICC]  Multiple description coding for point cloud,
   Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, Dusit Niyato, and Zhu Han.
   IEEE International Conference on Communications, pp. 3408-3413, 2024.
   

10. [GlobeCom]  Sustainable aigc workload scheduling of geo-distributed data centers: A multi-agent reinforcement learning approach,
    Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim, and Dusit Niyato.
    IEEE Global Communications Conference, pp. 3500-3505, 2023.
    

11. [ICDCSW]  Learning-based incentive mechanism for task freshness-aware vehicular twin migration,
    Junhong Zhang, Jiangtian Nie, Jinbo Wen, Jiawen Kang, Minrui Xu, Xiaofeng Luo, and Dusit Niyato.
    IEEE International Conference on Distributed Computing Systems Workshops, pp. 103-108, 2023.
    

12. [VTC]  Smart healthcare with hybrid mobile edge-quantum computing: Dynamic computation offloading for latency improvement,
    Ziqiaing Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, and Dusit Niyato.
    IEEE Vehicular Technology Conference, pp. 1-5, 2023.
    

13. [GlobeCom]  Joint foundation model caching and inference of generative ai services for edge intelligence,
    Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
    IEEE Global Communications Conference, pp. 3548-3553, 2023.
    

14. [MetaCom]  Generative ai-empowered effective physical-virtual synchronization in the vehicular metaverse,
    Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
    IEEE International Conference on Metaverse Computing, Networking and Applications, pp. 607-611, 2023.
    

15. [ICC]  Learning-based sustainable multi-user computation offloading for mobile edge-quantum computing,
    Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Mingzhe Chen.
    IEEE International Conference on Communications, pp. 4045-4050, 2023.
    

16. [ICCC]  Freshness-aware incentive mechanism for mobile ai-generated content (aigc) networks,
    Jinbo Wen, Jiawen Kang, Minrui Xu, Hongyang Du, Zehui Xiong, Yang Zhang, and Dusit Niyato.
    IEEE/CIC International Conference on Communications in China, pp. 1-6, 2023.
    

17. [BSC]  Entangled pair resource allocation under uncertain fidelity requirements,
    Rakpong Kaewpuang, Minrui Xu, Stephen John Turner, Dusit Niyato, Han Yu, and Dong In Kim.
    Biennial Symposium on Communications, pp. 25-30, 2023.
    

18. [ICNC]  Adaptive resource allocation in quantum key distribution (qkd) for federated learning,
    Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, and Xuemin Sherman Shen.
    International Conference on Computing, Networking and Communications, pp. 71-76, 2023.
    

19. [NOMS]  Stochastic qubit resource allocation for quantum cloud computing,
    Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, and Jiawen Kang.
    IEEE/IFIP Network Operations and Management Symposium, pp. 1-5, 2023.
    

20. [MetaCom]  Joining edge-enabled metaverse services with network externality: A stackelberg game approach,
    Yuna Jiang, Jiawen Kang, Dusit Niyato, Xiaohu Ge, Zehui Xiong, Minrui Xu, and Ruilong Deng.
    IEEE International Conference on Metaverse Computing, Networking and Applications, pp. 571-577, 2023.
    

21. [VTC]  A learning-based incentive mechanism for mobile aigc service in decentralized internet of vehicles,
    Jiani Fan, Minrui Xu, Ziyao Liu, Huanyi Ye, Chaojie Gu, Dusit Niyato, and Kwok-Yan Lam.
    IEEE Vehicular Technology Conference, pp. 1-5, 2023.
    

22. [WWW]  Multiple-agent deep reinforcement learning for avatar migration in vehicular metaverses,
    Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, and Wenchao Jiang.
    Companion Proceedings of the ACM Web Conference, pp. 1258-1265, 2023.
    

23. [GlobeCom]  Stochastic resource allocation in quantum key distribution for secure federated learning,
    Minrui Xu, Wei Chong Ng, Dusit Niyato, Han Yu, Chunyan Miao, Dong In Kim, and Xuemin Sherman Shen.
    IEEE Global Communications Conference, pp. 4377-4382, 2022.
    

24. [CAMAD]  Resource allocation in quantum key distribution (qkd) for space-air-ground integrated networks,
    Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, and Zehui Xiong.
    IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, pp. 71-76, 2022.
    

25. [GlobeCom]  Performance analysis of jammer-aided covert ris-noma systems,
    Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, and Shunmin Zhu.
    IEEE Global Communications Conference, pp. 2716-2721, 2022.
    

26. [ICC]  Wireless edge-empowered metaverse: A learning-based incentive mechanism for virtual reality,
    Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chunyan Miao, and Dong In Kim.
    IEEE International Conference on Communications, pp. 1-6, 2021.
    

Working Papers

1. [Preprint]  Fluid antenna enabled over-the-air federated learning: Joint optimization of positioning, beamforming, and user selection,
   Yang Zhao, Minrui Xu, Ping Wang, and Dusit Niyato.
   arXiv preprint arXiv:2503.00011, 2025.
   

2. [Preprint]  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.
   arXiv preprint arXiv:2501.14205, 2025.
   

3. [Preprint]  Adaptive auv hunting policy with covert communication via diffusion model,
   Xu Guo, Xiangwang Hou, Minrui Xu, Jianrui Chen, Jingjing Wang, Jun Du, and Yong Ren.
   arXiv preprint arXiv:2503.13547, 2025.
   

4. [Preprint]  Efficient twin migration in vehicular metaverses: Multi-agent split deep reinforcement learning with spatio-temporal trajectory generation,
   Junlong Chen, Jiawen Kang, Minrui Xu, Fan Wu, Hongliang Zhang, Huawei Huang, Dusit Niyato, and Shiwen Mao.
   arXiv preprint arXiv:2503.23290, 2025.
   

5. [Preprint]  Movable antenna-aided federated learning with over-the-air aggregation: Joint optimization of positioning, beamforming, and user selection,
   Yang Zhao, Yue Xiu, Minrui Xu, and Ning Wei.
   arXiv preprint arXiv:2411.06721, 2024.
   

6. [Preprint]  Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks,
   Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han.
   arXiv preprint arXiv:2403.05826, 2024.
   

7. [Preprint]  Integration of mixture of experts and multimodal generative ai in internet of vehicles: a survey,
   Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Yuguang Fang, Dong In Kim, et al.
   arXiv preprint arXiv:2404.16356, 2024.
   

8. [Preprint]  Generative ai-enabled quantum computing networks and intelligent resource allocation,
   Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yuan Cao, Yulan Gao, Chao Ren, and Han Yu.
   arXiv preprint arXiv:2401.07120, 2024.
   

9. [Preprint]  Delay minimization for movable antennas-enabled anti-jamming communications with mobile edge computing,
   Yue Xiu, Yang Zhao, Songjie Yang, Minrui Xu, Dusit Niyato, Yueyang Li, and Ning Wei.
   arXiv preprint arXiv:2409.14418, 2024.
   

10. [Preprint]  Diffusion-based auction mechanism for efficient resource management in 6g-enabled vehicular metaverses,
    Jiawen Kang, Yongju Tong, Yue Zhong, Junlong Chen, Minrui Xu, Dusit Niyato, Runrong Deng, and Shiwen Mao.
    arXiv preprint arXiv:2411.04139, 2024.
    

11. [Preprint]  Cost-effective task offloading scheduling for hybrid mobile edge-quantum computing,
    Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, and Dusit Niyato.
    arXiv preprint arXiv:2306.14588, 2023.
    

12. [Preprint]  Towards quantum federated learning,
    Chao Ren, Rudai Yan, Huihui Zhu, Han Yu, Minrui Xu, Yuan Shen, Yan Xu, Ming Xiao, Zhao Yang Dong, Mikael Skoglund, et al.
    arXiv preprint arXiv:2306.09912, 2023.
    

13. [Preprint]  Elastic entangled pair and qubit resource management in quantum cloud computing,
    Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang, Dusit Niyato, Han Yu, Ruidong Li, Zehui Xiong, and Jiawen Kang.
    arXiv preprint arXiv:2307.13185, 2023.
    

14. [Preprint]  Holographic-type communication for digital twin: A learning-based auction approach,
    XiuYu Zhang, Minrui Xu, Rui Tan, and Dusit Niyato.
    arXiv preprint arXiv:2211.01016, 2022.
    

15. [Preprint]  Optimal stochastic resource allocation for distributed quantum computing,
    Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong, Dusit Niyato, Han Yu, et al.
    arXiv preprint arXiv:2210.02886, 2022.
    

Fellowships & Awards

1. [Fellowship]  Exemplary Reviewer of IEEE Transactions on Network Science and Engineering,
   Dec 2024.
   

2. [Fellowship]  IEEE Vehicular Technology Society Daniel E. Noble Fellowship,
   Award amount: 5000 USD, Oct 2024.
   

3. [Award]  Best Paper Award - 1st Workshop on Fluid Antenna Systems for 6G, 2024 IEEE International Conference on Communications,
   June 2024.
   

4. [Award]  Third Prize - IEEE ComSoc Four-Minute-Thesis (4MT) Competition at IEEE ICC 2024,
   Award amount: 300 USD, June 2024.
   

5. [Fellowship]  Exemplary Reviewer of IEEE Communications Letters,
   Dec 2023.
   

6. [Fellowship]  IEEE Student Travel Grant (Globecom 2023),
   Award amount: 1000 USD, Dec 2023.
   

7. [Award]  SECOND PRIZE - the 2024 ComSoc Social Network Technical Committee (SNTC) Student Competition,
   Jul 2023.
   

8. [Award]  Best Paper Award - International Workshop on Social and Metaverse Computing and Networking (SocialMeta),
   Jul 2023.
   

9. [Award]  Best Paper Award - The Web Conference 2023 (WWW'23) Workshop: The 3rd International Workshop on Deep Learning for the Web of Things,
   May 2023.
   

10. [Award]  SECOND PRIZE - 2022 Shanghai Industry Web3.0 Application Innovation Competition,
    March 2023.
    

11. [Award]  The 1th in 2019 Guangzhou International Dragon Boat Invitational Tournament,
    Jun 2019.
    

Teaching Experience

• Teaching Assistant, Object-oriented Programming, Fall 2022.
• Teaching Assistant, Computer Networks, Spring 2023.

Academic Service

PC Member / Journal Reviewer

• Reviewer for IEEE Network
• Reviewer for IEEE MultiMedia
• Reviewer for IEEE Systems Journal
• Reviewer for ACM Computing Surveys
• Reviewer for Proceedings of the IEEE
• Reviewer for IEEE Communications Letters
• Reviewer for IEEE Wireless Communications
• Reviewer for IEEE Communications Magazine
• Reviewer for IEEE Internet of Things Journal
• Reviewer for IEEE Consumer Electronics Magazine
• Reviewer for IEEE Vehicular Technology Magazine
• Reviewer for IEEE/ACM Transactions on Networking
• Reviewer for IEEE Transactions on Communications
• Reviewer for IEEE Transactions on Mobile Computing
• Reviewer for IEEE Transactions on Services Computing
• Reviewer for IEEE Communications Surveys & Tutorials
• Reviewer for IEEE Transactions on Vehicular Technology
• Reviewer for IEEE Transactions on Sustainable Computing
• Reviewer for IEEE Transactions on Industrial Informatics
• Reviewer for IEEE Open Journal of the Communications Society
• Reviewer for IEEE Journal on Selected Areas in Communications
• Reviewer for IEEE Transactions on Network and Service Management
• Reviewer for IEEE Transactions on Network Science and Engineering
• Reviewer for IEEE Transactions on Parallel and Distributed Systems
• Reviewer for IEEE Transactions on Green Communications and Networking
• Reviewer for IEEE Transactions on Cognitive Communications and Networking
• Reviewer for Electronics
• Reviewer for IET Communications
• Reviewer for China Communications
• Reviewer for IET Quantum Communication
• Reviewer for Frontiers of Computer Science
• Reviewer for Enterprise Information Systems
• Reviewer for Science China Information Sciences
• Reviewer for Journal of Network and Computer Applications
• Reviewer for ACM Transactions on Multimedia Computing, Communications, and Applications
• Reviewer for IEEE WCNC, ICC, Globecom, PIMRC, iMETA, ISMAR, VTC, and so on

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, which was held on the Zhujiang River.

                          

Sponsors

I sincerely thank these sponsors for providing financial support for my research: