Jie Li

About

Jie Li (IEEE M '95, SM'01) received the B.E. degree in computer science from Zhejiang University, Hangzhou, China, the M.E. degree in electronic engineering and communication systems from China Academy of Posts and Telecommunications, Beijing, China in 1982 and 1985, respectively. He received the Dr. Eng. degree from the University of Electro-Communications, Tokyo, Japan in 1993. He is with Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China where he is a professor. His current research interests are in big data and AI, blockchain, edge computing, networking and security, OS, modeling and performance evaluation of information systems. He was a professor in Department of Computer Science, University of Tsukuba, Japan. He was a visiting Professor in Yale University, USA, Inria Sophia Antipolis and Inria Grenoble-Rhone-Aples, France. He serves as an associated editor for several IEEE journals and transactions and on the program committees for several international conferences.

Employment

• University of Tsukuba Professor Emeritus
  2018 - Present
• Shanghai Jiao Tong University Professor
  2018 - Present
• University of Tsukuba Professor
  1993 - 2018
• China Academy of Posts and Telecommunications Research Engineer
  1985 - 1993

Education

• The University of Electro-Communications Dr. E.
  1989 - 1993
• China Academy of Posts and Telecommunications Master of Engineering
  1982 - 1985
• Zhejiang University
  1978 - 1982

Projects & Funding

Projects & funding information is unavailable.

Publications (391)

• A positivity-constrained physics-informed Kolmogorov–Arnold network for stability-oriented source-intensity inversion in nuclear contaminant transport
  Reliability Engineering & System Safety 2027 DOI: 10.1016/j.ress.2026.113583
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• Queue-Stable Online Learning: Bilinear Bandits for Semantic Codecs in NTNs
  2026 DOI: 10.1145/3842721.3849664
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• Hierarchical Multi-Stage Optimization for Space-Air-Ground Integrated Networks in Disaster Response Scenarios
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2026.3712252
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• Adaptive Model Lightweighting and Retraining for Accurate Video Analysis in Diverse Edge Environments
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2026.3708382
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• FedNereus: Incentive-Aware Heterogeneous Federated Learning Under Resource Constraint
  IEEE Transactions on Computers 2026 DOI: 10.1109/TC.2026.3713425
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• Joint Service Caching and Resource Allocation in DT-Empowered Cloud-Edge Networks via MARL With Hierarchical Knowledge Transfer
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2026.3691308
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• Physical Layer Security of Coupled Phase Shifts STAR-RIS-Aided NOMA System Under Hybrid Far- and Near-Field Scenarios
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3680501
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• BIND: Enabling Continuous Transaction Processing During Account Migration in Sharded Blockchains
  2026 DOI: 10.1145/3774904.3792530
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• Multi-Layer Scheduling in Gig Platforms Using a Generative Diffusion Model With Duality Guidance
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2025.3613450
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• A Lightweight Continuous Identity Authentication-Based Security Offloading Scheme in Vehicular Edge Computing
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3701920
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• AdaSch: Load-Adaptive Scheduling for Accelerating Real-Time Edge Video Analysis With Diverse Inference Modes
  IEEE Transactions on Mobile Computing 2026 DOI: 10.1109/TMC.2026.3681286
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• Enhancing Throughput in Sharded Blockchain via Joint Convex Optimization of System Parameters and Resource Allocation
  IEEE Transactions on Network and Service Management 2026 DOI: 10.1109/TNSM.2026.3688662
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• Multi-Agent Reinforcement Learning Based Idle-Aware Task Offloading in Dynamic Vehicular Networks With Partial Information
  IEEE Transactions on Network Science and Engineering 2026 DOI: 10.1109/TNSE.2025.3634598
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• Reinforcement Learning-Based Incentive Scheme for Federated Learning in Vehicular Networks
  IEEE Transactions on Cognitive Communications and Networking 2026 DOI: 10.1109/TCCN.2025.3641517
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• Robust Autonomous Driving via Vulnerability-Aware Co-Optimization Framework Against Safety-Critical Scenarios
  IEEE Open Journal of Intelligent Transportation Systems 2026 DOI: 10.1109/OJITS.2026.3680881
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• Subtopology-Assisted Federated Graph Learning With Adaptive Neighbor Generation in Edge-Client Collaborative Networks
  IEEE Transactions on Networking 2026 DOI: 10.1109/TON.2025.3613257
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• Transformer-Based Scalable Multi-Agent Reinforcement Learning for Joint Resource Optimization in Cloud–Edge–End Video Streaming Systems
  IEEE Transactions on Cognitive Communications and Networking 2026 DOI: 10.1109/TCCN.2025.3612689
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• CAST: Cluster-Driven Truthful Crowdfunding Mechanism for Shared AI Service Deployment
  IEEE Transactions on Services Computing 2025 DOI: 10.1109/TSC.2025.3618892
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• Decentralized Federated Learning for Adversarial Anomaly Detection in Consumer-Grade UAV-Assisted MEC Systems
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3617540
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• WiCG: Heartbeat Sensing Using COTS WiFi Devices with Common Antenna
  ACM Transactions on Sensor Networks 2025 DOI: 10.1145/3748330
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