Zirui Zhuang

prof_pic.jpg

511 Research Building

XiTuCheng Rd. #10

Beijing, China, 100876

Dr. Zirui Zhuang (Associate Researcher, PhD supervisor, MSc supervisor) is currently with the State Key Laboratory of Networking and Switching Technology[中文][English], Beijing University of Posts and Telecommunications. He is also with the School of Computer Science starting from 2020. He was also with the Institute of Network Technology from 2015 to 2020.

He received his B.Eng. in electronic information engineering, and Ph.D. in information and communication engineering from Beijing University of Posts and Telecommunications[中文][English], in 2015 and 2020, respectively. He is advised by Professor Jingyu Wang during the course of his Ph.D. study.

In 2019, he visited the Department of Electrical and Computer Engineering, University of Houston, doing research on network routing and optimization, advised by Professor Zhu Han.

His research interests include network routing and management for next generation network infrastructures, using machine learning and artificial intelligence techniques, including deep learning, reinforcement learning, graph representation, multi-agent system, and Lyapunov-based optimization.

Recently, he has been focusing on the design of Knowledge-Defined Networking (KDN) framework which employs artificial intelligence (AI) for the next-generation networks (AI4Network), in settings of wired computer networks as well as wireless communication networks. The integration of knowledge promotes profound intelligence in networked systems by acquisition, extraction, optimization, and application of the best practices of network control and resource management. This new paradigm demands for more advanced theory, techniques, and procedures in the aspects of sensing, modelling, decision making, and interpretation, where the combination of human intelligence and artificial intelligence is a must. While there has been a trending research interest over the convergence of communication, computation, and control, the era of KDN and AI4Network is still at its early stage. There are broad but challenging research opportunities to be explored.

He is an active member of computer communication and signal processing communities. He joined the IEEE as a Graduate Student Member in 2018, and he became a professional Member in 2020. He is a reviwer for many high impact journals and international conferences, such as

  • Journal reviewer
    • IEEE Journal on Selected Areas in Communications
    • IEEE Internet of Things Journal
    • IEEE Systems Journal
    • IEEE Transactions on Mobile Computing
    • IEEE Transactions on Network Science and Engineering
    • IEEE/ACM Transactions on Networking
    • IEEE Communications Letters
    • Future Generation Computer Systems
    • Knowledge-Based Systems
    • Artificial Intelligence in Medicine
    • Ad Hoc & Sensor Wireless Networks
    • Journal of Communications and Networks
    • Springer Journal of Cloud Computing: Advances, Systems and Applications
    • Scientific Reports
    • SN Applied Sciences
    • Results in Control and Optimization
  • Conference reviewer
    • ACM ICMR 2023, 2024
    • ACM MM 2023, 2024
    • ACM UIST 2023
    • DASFAA 2024
    • ECMLPKDD 2023, 2024
    • IEEE Globecom 2023
    • IEEE ICCC 2020
    • IEEE WCNC 2021(Workshops), 2022, 2024
    • KDD 2024
    • MobiQuitous 2019

grants

Jan 1, 2024 - Dec 31, 2027 国家自然科学基金委员会 (NSFC), 联合基金项目, U23B2001, 基于深度强化学习的动态路由新方法研究及验证 (A deep reinforcement learning-based new method on dynamic routing: research and verification), 2024-01~2027-12, 256万元 (CNY 2,560,000), 在研 (Current), 参加 (Participation).
Jun 30, 2022 - Jun 30, 2024 中国博士后科学基金会 (China Postdoc Science Foundation, CPSF), 面上项目, 2022M710468, 知识驱动的边缘网络路由智能决策理论研究 (Knowledge-driven intelligent decision theory for edge networks routing), 2022-06~2024-06, 8万元 (CNY 80,000), 在研 (Current), 主持 (Principal Investigator).
Jan 1, 2022 - Dec 31, 2024 国家自然科学基金委员会 (NSFC), 青年项目, 62101064, 面向边缘网络智能路由的案例学习机理及稳定性研究 (Case-based learning for intelligent routing in edge networks: mechanism, theory, and stability analysis), 2022-01~2024-12, 30万元 (CNY 300,000), 在研 (Current), 主持 (Principal Investigator).
Jan 1, 2021 - Dec 31, 2024 国家自然科学基金委员会 (NSFC), 面上项目, 62071067, 面向网联自动驾驶的暂态边缘资源协作机理研究 (A research on transient edge resource collaboration theory for autonomous driving networks), 2021-01~2024-12, 64万元 (CNY 640,000), 在研 (Current), 参加 (Participation).
Dec 1, 2020 - Dec 1, 2023 国家重点研发计划 (National Key Research and Development Program of China), (宽带通信和新型网络专项) 项目课题, 2020-12~2023-11, 674万元 (CNY 6,740,000), 在研 (Current), 参与 (Participation).
Nov 1, 2020 - Dec 31, 2023 北京邮电大学-中国移动研究院联合创中心 (BUPTCMRI-JIC), 联合项目, 知识定义网络理论及技术研究 (A research on the theory and technologies of knowledge-defined networking), 2020-11~, 245万元 (CNY 2,450,000), 在研 (Current), 参加 (Participation).
Jan 1, 2018 - Dec 31, 2020 北京市自然科学基金委员会 (NSF-BJ), 面上项目, 4182041, 基于机器学习的软件定义网络资源优化研究 (A research on machine learning-based resource management optimization for software-defined networks), 2018-01~2020-12, 18万元 (CNY 180,000), 结题 (Finished), 参加 (Participation).
Jan 1, 2017 - Dec 31, 2020 国家自然科学基金委员会 (NSFC), 面上项目, 61671079, 面向软件定义数据中心的多路径传输机制及联合优化理论研究 (A research on multi-path transmission mechanism and joint optimization theory for software-defined data centers), 2017-01~2020-12, 58万元 (CNY 580,000), 结题 (Finished), 参加 (Participation).

news

Apr 15, 2024 One of our paper has been accepted by IEEE/ACM International Symposium on Quality of Service (IWQoS’24).
Mar 28, 2024 One of our paper has been accepted by Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’24).
Mar 7, 2024 One of our paper has been accepted by IEEE/ACM Transactions on Networking.
Mar 2, 2024 We will be presenting one of our journal paper at 2024 IEEE International Conference on Communications (ICC).
Feb 29, 2024 One of our paper has been accepted by International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’24).
Feb 27, 2024 One of our paper has been accepted by 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Feb 16, 2024 One of our paper has been accepted by 2024 International Conference on Learning Representations (ICLR) - Tiny.
Feb 13, 2024 One of our poster paper has been accepted by IEEE International Conference on Computer Communications (INFOCOM’24) Posters and Demos.
Dec 24, 2023 One paper that we collaborated on has been accepted by 2024 IEEE Wireless Communications and Networking Conference (WCNC).
Dec 20, 2023 One of our paper has been accepted by 2024 IEEE International Parallel & Distributed Processing Symposium (IPDPS).
Dec 9, 2023 One of our paper has been accepted by The 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24).
Dec 7, 2023 One of our paper has been accepted by IEEE Internet of Things Journal.
Sep 22, 2023 One of our paper has been accepted by 2023 Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS’23).
Aug 30, 2023 One of our paper has been accepted by 2023 IEEE International Conference on Network Protocols (ICNP’23).
Jul 30, 2023 One of our paper has been accepted by 2024 USENIX Symposium on Networked Systems Design and Implementation (NSDI’24).
Jul 25, 2023 One of our poster paper has been accepted by The Annual Conference of the ACM Special Interest Group on Data Communication (SIGCOMM’23) Posters and Demos.
Apr 20, 2023 One of our paper has been accepted by 2023 The 32nd International Joint Conference on Artificial Intelligence (IJCAI’23).
Apr 11, 2023 One of our paper has been accepted by 2023 43rd IEEE International Conference on Distributed Computing Systems (ICDCS’23).

selected publications

Journal Articles

  1. TMC
    二区 / Q1 / CCF A
    Slice Sandwich: Jagged Slicing Multi-tier Dynamic Resources for Diversified V2X Services
    Yu Liu, Zirui Zhuang, Qi Qi, Jingyu Wang, Dezhi Chen, Lu Lu, Hongwei Yang, Jianxin Liao, and Zhu Han
    IEEE Transactions on Mobile Computing, vol. 23, (5), pp. 4285–4302, May 2024
  2. ComMag
    一区 / Q1
    Towards High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence Provision
    Yu Liu, Jingyu Wang, Qi Qi, Zirui Zhuang, Jianxin Liao, and Zhu Han
    IEEE Communications Magazine, vol. 61, (12), pp. 94–100, December 2023
  3. ToN
    二区 / Q1 / CCF-A
    Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice
    Tianjian Dong, Qi Qi, Jingyu Wang, Zirui Zhuang, Haifeng Sun, Jianxin Liao, and Zhu Han
    IEEE/ACM Transactions on Networking, vol. 31, (2), pp. 828–845, April 2023
    Online August 2022
  4. TCCN
    二区 / Q1
    Intelligent Joint Network Slicing and Routing via GCN-powered Multi-Task Deep Reinforcement Learning
    Tianjian Dong, Zirui Zhuang, Qi Qi, Jingyu Wang, Haifeng Sun, F. Richard Yu, Tao Sun, Cheng Zhou, and Jianxin Liao
    IEEE Transactions on Cognitive Communications and Networking, vol. 8, (2), pp. 1269–1286, June 2022
    Online Dec. 2021.
  5. 通信学报
    CIC T1 / CCF T1
    Research on a knowledge-defined polymorphic network attainable service architecture
    Jingyu Wang, and Zirui Zhuang
    Journal on Communications, vol. 43, (4), pp. 71–82, April 2022
  6. JIoT
    一区 / Q1
    Adaptive and Robust Routing with Lyapunov-Based Deep RL in MEC Networks Enabled by Blockchains
    Zirui Zhuang, Jingyu Wang, Qi Qi, Jianxin Liao, and Zhu Han
    IEEE Internet of Things Journal, vol. 8, (4), pp. 2208–2225, February 2021
    Online Oct. 2020
  7. JSTSP
    一区 / Q1
    Tensor-Based Reinforcement Learning for Network Routing
    Kai-Chu Tsai, Zirui Zhuang, Ricardo Lent, Jingyu Wang, Qi Qi, Lichun Wang, and Zhu Han
    IEEE Journal of Selected Topics in Signal Processing, vol. 15, (3), pp. 617–629, February 2021
    Online Feb. 2021.
  8. JIoT
    一区 / Q1
    Mean Field Deep Reinforcement Learning for Fair and Efficient UAV Control
    Dezhi Chen, Qi Qi, Zirui Zhuang, Jingyu Wang, Jianxin Liao, and Zhu Han
    IEEE Internet of Things Journal, vol. 8, (2), pp. 813–828, January 2021
    Online July 2020
  9. ISJ
    一区 / Q1
    Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning Approach
    Zirui Zhuang, Jingyu Wang, Qi Qi, Haifeng Sun, and Jianxin Liao
    IEEE Systems Journal, vol. 14, (2), pp. 1658–1669, June 2020
    Online June 2019
  10. ASC
    一区 / Q1
    Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks
    Jingyu Wang, Zirui Zhuang, Qi Qi, Tonghong Li, and Jianxin Liao
    Applied Soft Computing, vol. 82, pp. 105557, September 2019
    Online June 2019

Conference Articles

  1. IPDPS
    CORE A / CCF B
    Fast Policy Convergence for Traffic Engineering with Proactive Distributed Message-Passing
    Zicheng Wang, Zirui Zhuang, Jingyu Wang, Qi Qi, Haifeng Sun, and Jianxin Liao
    In 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS’24), May 2024
  2. NSDI
    CCF A
    EPVerifier: Accelerating Update Storms Verification with Edge-Predicate
    Chenyang Zhao, Yuebin Guo, Jingyu Wang, Qi Qi, Zirui Zhuang, Haifeng Sun, Lingqi Guo, Yuming Xie, and Jianxin Liao
    In The 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI’24), April 2024
    Accepted.
  3. NeurIPS
    CORE A* / CCF A
    Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
    Chengsen Wang, Zirui Zhuang, Qi Qi, Jingyu Wang, Xingyu Wang, Haifeng Sun, and Jianxin Liao
    In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS’23), December 2023
  4. SIGCOMM-P&D
    CORE A / CCF A
    Poster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence Slicing
    Ruilong Ma, Jingyu Wang, Qi Qi, Xiang Yang, Haifeng Sun, Zirui Zhuang, and Jianxin Liao
    In SIGCOMM’23 Posters and Demos, September 2023
    Accepted.
  5. ICMR
    CORE B / CCF B
    FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge Distillation
    Shaoxiong Zhu, Qi Qi, Zirui Zhuang, Jingyu Wang, Haifeng Sun, and Jianxin Liao
    In 2022 ACM International Conference on Multimedia Retrieval (ICMR’22), June 2022
  6. IWQoS
    CORE B / CCF B
    Adaptive and Robust Network Routing Based on Deep Reinforcement Learning with Lyapunov Optimization
    Zirui Zhuang, Jingyu Wang, Qi Qi, Jianxin Liao, and Zhu Han
    In IEEE/ACM International Symposium on Quality of Service (IWQoS’20), June 2020
  7. WCNC
    CORE B / CCF C
    Multi-Agent Deep Reinforcement Learning for Secure UAV Communications
    Yu Zhang, Zirui Zhuang, Feifei Gao, Jingyu Wang, and Zhu Han
    In IEEE Wireless Communications and Networking Conference (WCNC’20), May 2020
  8. IPCCC
    CORE B / CCF C
    A Case-Based Decision System for Routing in Packet-Switched Networks
    Zirui Zhuang, Jingyu Wang, Qi Qi, Haifeng Sun, and Jianxin Liao
    In IEEE International Performance Computing and Communications Conference (IPCCC’18), November 2018
  9. LCN
    CORE A / CCF C
    Graph-Aware Deep Learning Based Intelligent Routing Strategy
    Zirui Zhuang, Jingyu Wang, Qi Qi, Haifeng Sun, and Jianxin Liao
    In IEEE Conference on Local Computer Networks (LCN’18), October 2018

Books

  1. Deep Reinforcement Learning for Network Intelligence
    Qi Qi, Xiaoyuan Fu, Zirui Zhuang, Jingyu Wang, and Jianxin Liao
    August 2021
    In print
  2. Smart Service Cloud Networks (Edition 2)
    Jingyu Wang, Haifeng Sun, Jianxin Liao, Jing Wang, Qi Qi, and Zirui Zhuang
    September 2019
  3. Smart Service Cloud Networks
    Jingyu Wang, Jianxin Liao, Jing Wang, Qi Qi, and Zirui Zhuang
    July 2017