Zirui Zhuang

511 Research Building
XiTuCheng Rd. #10
Beijing, China, 100876
Dr. Zirui Zhuang (Associate Professor, PhD supervisor, MSc supervisor, Pioneering Scholar) 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 reviewer 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 Internet of Things Magazine
- 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 KDD 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
- MobiQuitous 2019
- ITU-K 2024
news
latest posts
selected publications
- TMC
二区 / Q1 / CCF A Slice Sandwich: Jagged Slicing Multi-tier Dynamic Resources for Diversified V2X ServicesIEEE Transactions on Mobile Computing, May 2024 - IPDPS
CORE A / CCF B Fast Policy Convergence for Traffic Engineering with Proactive Distributed Message-PassingIn 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS’24), May 2024 - NSDI
CCF A EPVerifier: Accelerating Update Storms Verification with Edge-PredicateIn The 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI’24), Apr 2024 - ComMag
一区 / Q1 Toward High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence ProvisionIEEE Communications Magazine, Dec 2023 - SIGCOMM P&D
CORE A / CCF A Poster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence SlicingIn SIGCOMM’23 Posters and Demos, Sep 2023 - Deep Reinforcement Learning for Network IntelligenceAug 2023
- ToN
二区 / Q1 / CCF A Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start SliceIEEE/ACM Transactions on Networking, Apr 2023Online August 2022 - TCCN
二区 / Q1 Intelligent Joint Network Slicing and Routing via GCN-powered Multi-Task Deep Reinforcement LearningIEEE Transactions on Cognitive Communications and Networking, Jun 2022Online Dec. 2021. - ICMR
CORE B / CCF B FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge DistillationIn 2022 ACM International Conference on Multimedia Retrieval (ICMR’22), Jun 2022 - JIoT
一区 / Q1 Adaptive and Robust Routing with Lyapunov-Based Deep RL in MEC Networks Enabled by BlockchainsIEEE Internet of Things Journal, Feb 2021Online Oct. 2020 - JSTSP
一区 / Q1 Tensor-Based Reinforcement Learning for Network RoutingIEEE Journal of Selected Topics in Signal Processing, Feb 2021Online Feb. 2021. - JIoT
一区 / Q1 Mean Field Deep Reinforcement Learning for Fair and Efficient UAV ControlIEEE Internet of Things Journal, Jan 2021Online July 2020 - ISJ
一区 / Q1 Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning ApproachIEEE Systems Journal, Jun 2020Online June 2019 - IWQoS
CORE B / CCF B Adaptive and Robust Network Routing Based on Deep Reinforcement Learning with Lyapunov OptimizationIn IEEE/ACM International Symposium on Quality of Service (IWQoS’20), Jun 2020 - WCNC
CORE B / CCF C Multi-Agent Deep Reinforcement Learning for Secure UAV CommunicationsIn IEEE Wireless Communications and Networking Conference (WCNC’20), May 2020 - ASC
一区 / Q1 Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networksApplied Soft Computing, Sep 2019Online June 2019 - Smart Service Cloud Networks (Edition 2)Sep 2019
- IPCCC
CORE B / CCF C A Case-Based Decision System for Routing in Packet-Switched NetworksIn IEEE International Performance Computing and Communications Conference (IPCCC’18), Nov 2018 - LCN
CORE A / CCF C Graph-Aware Deep Learning Based Intelligent Routing StrategyIn IEEE Conference on Local Computer Networks (LCN’18), Oct 2018 - Smart Service Cloud NetworksJul 2017