Zirui Zhuang
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). |
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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
selected publications
Journal Articles
- TMC二区 / Q1 / CCF ASlice Sandwich: Jagged Slicing Multi-tier Dynamic Resources for Diversified V2X ServicesIEEE Transactions on Mobile Computing, vol. 23, (5), pp. 4285–4302, May 2024
- ComMag一区 / Q1Towards High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence ProvisionIEEE Communications Magazine, vol. 61, (12), pp. 94–100, December 2023
- ToN二区 / Q1 / CCF-AStanding on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start SliceIEEE/ACM Transactions on Networking, vol. 31, (2), pp. 828–845, April 2023Online August 2022
- TCCN二区 / Q1Intelligent Joint Network Slicing and Routing via GCN-powered Multi-Task Deep Reinforcement LearningIEEE Transactions on Cognitive Communications and Networking, vol. 8, (2), pp. 1269–1286, June 2022Online Dec. 2021.
- 通信学报CIC T1 / CCF T1Research on a knowledge-defined polymorphic network attainable service architectureJournal on Communications, vol. 43, (4), pp. 71–82, April 2022
- JIoT一区 / Q1Adaptive and Robust Routing with Lyapunov-Based Deep RL in MEC Networks Enabled by BlockchainsIEEE Internet of Things Journal, vol. 8, (4), pp. 2208–2225, February 2021Online Oct. 2020
- JSTSP一区 / Q1Tensor-Based Reinforcement Learning for Network RoutingIEEE Journal of Selected Topics in Signal Processing, vol. 15, (3), pp. 617–629, February 2021Online Feb. 2021.
- JIoT一区 / Q1Mean Field Deep Reinforcement Learning for Fair and Efficient UAV ControlIEEE Internet of Things Journal, vol. 8, (2), pp. 813–828, January 2021Online July 2020
- ISJ一区 / Q1Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning ApproachIEEE Systems Journal, vol. 14, (2), pp. 1658–1669, June 2020Online June 2019
- ASC一区 / Q1Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networksApplied Soft Computing, vol. 82, pp. 105557, September 2019Online June 2019
Conference Articles
- IPDPSCORE A / CCF BFast Policy Convergence for Traffic Engineering with Proactive Distributed Message-PassingIn 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS’24), May 2024
- NSDICCF AEPVerifier: Accelerating Update Storms Verification with Edge-PredicateIn The 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI’24), April 2024Accepted.
- NeurIPSCORE A* / CCF ADrift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly DetectionIn Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS’23), December 2023
- SIGCOMM-P&DCORE A / CCF APoster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence SlicingIn SIGCOMM’23 Posters and Demos, September 2023Accepted.
- ICMRCORE B / CCF BFedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge DistillationIn 2022 ACM International Conference on Multimedia Retrieval (ICMR’22), June 2022
- IWQoSCORE B / CCF BAdaptive and Robust Network Routing Based on Deep Reinforcement Learning with Lyapunov OptimizationIn IEEE/ACM International Symposium on Quality of Service (IWQoS’20), June 2020
- WCNCCORE B / CCF CMulti-Agent Deep Reinforcement Learning for Secure UAV CommunicationsIn IEEE Wireless Communications and Networking Conference (WCNC’20), May 2020
- IPCCCCORE B / CCF CA Case-Based Decision System for Routing in Packet-Switched NetworksIn IEEE International Performance Computing and Communications Conference (IPCCC’18), November 2018
- LCNCORE A / CCF CGraph-Aware Deep Learning Based Intelligent Routing StrategyIn IEEE Conference on Local Computer Networks (LCN’18), October 2018
Books
- Deep Reinforcement Learning for Network IntelligenceAugust 2021In print
- Smart Service Cloud Networks (Edition 2)September 2019
- Smart Service Cloud NetworksJuly 2017