Jie Li

Professor Emeritus

University of Tsukuba

Japan

Research Interests

Explore related searches

Professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Jie Li is a Professor Emeritus at the University of Tsukuba in Japan. His research interests span various domains, including WiFi-based sensing technologies, RFID systems, and scalable optimization for the Industrial Internet of Things. He has published extensively on innovative approaches to adversarial attacks, federated learning, and resource allocation in multi-edge environments.

Articles (28)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (3)

Yongbing Zhang

Professor

University of Tsukuba

JAPAN

View details

Suhua Tang

The University of Electro-Communications

JAPAN

View details

YUXUAN DU

Assistant Professor

Nanyang Technological University

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jie Li

Research Interests

Explore related searches

Contact this professor

About

Articles (28)

WiCG: Heartbeat Sensing Using COTS WiFi Devices with Common Antenna

A Near-Optimal Category Information Sampling in RFID Systems

Towards Bi-Level Supply/Demand Balanced Charging Systems via Online Power Scheduling

Universal Closed-Box Adversarial Attack for Trajectory Representation via Controlling High-Dimensional Iterative Constraints

Practical Iterative Quantum Consensus Protocol With Sharding Construction

Adaptive Incentivize for Federated Learning With Cloud-Edge Collaboration Under Multi-Level Information Sharing

Mobility-Aware Seamless Service Migration and Resource Allocation in Multi-Edge IoV Systems

Temporal Gradient Inversion Attacks With Robust Optimization

Cloud–Edge Collaboration for Industrial Internet of Things: Scalable Neurocomputing and Rolling-Horizon Optimization

MC-2PF: A Multi-Edge Cooperative Universal Framework for Load Prediction With Personalized Federated Deep Learning

Ada-WL: An Adaptive Wear-Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters

BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework

Blockchain-based knowledge-aware semantic communications for remote driving image transmission

Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-Assisted MEC Systems

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach

Toward Real-Time Pricing and Allocation for Surplus Resources in Electric Bus Charging Stations

Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems:A Cooperative Learning Approach

Blockchain-Enabled Trust Management With Location Privacy Preservation in Vehicular Ad Hoc Networks

JIRA: Joint Incentive Design and Resource Allocation for Edge-Based Real-Time Video Streaming Systems

Cost-Effective Scheduling for Dependent Tasks With Tight Deadline Constraints in Mobile Edge Computing

A General Quantitative Analysis Framework for Attacks in Blockchain

ADSAttack: An Adversarial Attack Algorithm via Searching Adversarial Distribution in Latent Space

WISDOM: Wi-Fi-Based Contactless Multiuser Activity Recognition

A Blockchain-based Trust-Value Management Approach for Secure Information Sharing in Internet of Vehicles

Miso: Misalignment Allowed Optimization for Multi-antenna Over-the-air Computation

Semi-Supervised Contrastive Learning With Similarity Co-Calibration

Startup-aware Dependent Task Scheduling with Bandwidth Constraints in Edge Computing

JORA: Blockchain-based efficient joint computing offloading and resource allocation for edge video streaming systems

Collaborators (3)

Yongbing Zhang

Suhua Tang

YUXUAN DU

Make your next move.