Minrui Xu (徐敏锐)

Ph.D. Student

School of Computer Science and Engineering
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 (中山大学), Guangzhou, China, in 2021 supervised by Prof. Wuhui Chen in InplusLab. He is currently working toward the Ph.D. degree in the School of Computer Science and Engineering, 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

Papers

Highlights

Mobile Edge-Cloud Generative AI

Edge-enabled Metaverse

Mobile Edge/Cloud-Quantum Computing

Journal and Magazine

  1. [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 Leung.
    submitted to IEEE Network, accepted., 2022.

  1. [ComMag]  DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks,
    Napat Ngoenriang,Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu, and Xuemin Sherman Shen.
    IEEE Communications Magazine, accepted.

  1. [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 (Sherman) Shen.
    IEEE Journal of Selected Topics in Signal Processing, accepted.

  2. [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, no. 12, pp. 3615-3630, Dec. 2022.

  3. [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, accepted.

  4. [TNSE]  Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles,
    Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato, Qiang Yan.
    IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 2966-2977, May 2022.

  5. [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, no. 4, pp. 132-139, Aug. 2022. (Undergraduate Publication)

  6. [IoTJ]  Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems,
    Minrui Xu, Jialiang Peng, BB Gupta, Jiawen Kang, Zehui Xiong, Zhenni Li, and Ahmed A Abd El-Latif.
    IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22095-22108, Nov. 2022. (Undergraduate Publication)

  7. [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, no. 4, pp. 2364-2378, Feb. 2021. (Undergraduate Publication)

Conferneces

  1. [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.
    Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, 26-28 June 2023.

  2. [ICC]  Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing,
    Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mingzhe Chen.
    Proceedings of IEEE ICC , Rome, Italy, 28 May - 1 Jun. 2023.

  3. [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 , Wenchao Jiang.
    Proceedings of WWW Companion: Companion Proceedings of the ACM Web Conference 2023 , Austin, Texas, USA, April-May 2023. [Best Paper Awards]

  4. [ICNC]  Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning,
    Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Xuemin Sherman Shen.
    Proceedings of International Conference on Computing, Networking and Communications (ICNC) , Honolulu, Hawaii, USA, 20-22 Feb. 2023.

  5. [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.
    Proceedings of IEEE GLOBECOM , Rio de Janeiro, Brazil, from 4-8 December 2022.

  6. [GlobeCom]  Performance Analysis of Jammer-Aided Covert RIS-NOMA Systems,
    Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, Shunmin Zhu.
    Proceedings of IEEE GLOBECOM , Rio de Janeiro, Brazil, from 4-8 December 2022.

  7. [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.
    in Proceedings of IEEE ICC, Seoul, South Korea, 16-20 May 2022.

Working Papers

Teaching Experience

Academic Service

PC Member / Journal Reviewer

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: