Juan Li

Orcid: 0000-0003-0115-0783

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
  • Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (PhD 2020)


According to our database1, Juan Li authored at least 29 papers between 2014 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
A Hierarchical Game for Physical Layer Security Aware Cooperative Communications with Dynamic Interchangeable Relaying and Jamming.
IEEE Trans. Veh. Technol., January, 2025

2024
A Three-Party Repeated Coalition Formation Game for PLS in Wireless Communications with IRSs.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Multi-Dimensional Clock Fingerprinting for Abnormal ECU Sourcing in CAN Bus.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Efficient Knowledge Base Synchronization in Semantic Communication Network: A Federated Distillation Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Learning Distinguishable Trajectory Representation with Contrastive Loss.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving.
Proceedings of the International Joint Conference on Neural Networks, 2024

All Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Efficient and Secure Contribution Estimation in Vertical Federated Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Federated Learning for COVID-19 on Heterogeneous CXR Images with Noise.
Proceedings of the IEEE International Conference on Communications, 2023

Privacy-Preserving Federated Learning via Disentanglement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Double Auction Mechanism Design in Federated Learning.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective.
IEEE Trans. Cogn. Commun. Netw., 2022

Coded Distributed Computing With Predictive Heterogeneous User Demands: A Learning Auction Approach.
IEEE J. Sel. Areas Commun., 2022

Robust privacy-preserving federated learning framework for IoT devices.
Int. J. Intell. Syst., 2022

Joint Task Offloading and VM Placement for Edge Computing with Time-Sequential IIoT Applications.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Learning Auction in Coded Distributed Computing with Heterogeneous User Demands.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

2020
Redundancy-Aware and Budget-Feasible Incentive Mechanism in Crowd Sensing.
Comput. J., 2020

2019
Selecting optimal mobile users for long-term environmental monitoring by crowdsourcing.
Proceedings of the International Symposium on Quality of Service, 2019

2018
Online Auction for IaaS Clouds: Towards Elastic User Demands and Weighted Heterogeneous VMs.
IEEE Trans. Parallel Distributed Syst., 2018

Data Utility Maximization When Leveraging Crowdsensing in Machine Learning.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

2017
Crowdsourcing Sensing to Smartphones: A Randomized Auction Approach.
IEEE Trans. Mob. Comput., 2017

Online Cost-Aware Service Requests Scheduling in Hybrid Clouds for Cloud Bursting.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

2015
Cross-platform Interference: Locating wifi devices with ZigBee sensor networks.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

Towards Redundancy-Aware Data Utility Maximization in Crowdsourced Sensing with Smartphones.
Proceedings of the 44th International Conference on Parallel Processing, 2015

OutSense: Out-of-Band Sensing with ZigBee Sensors for Channel Adaptation in Wireless LANs.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

iCal: Intervention-free Calibration for Measuring Noise with Smartphones.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

2014
Distributed compressive data gathering in low duty cycled wireless sensor networks.
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014

Load balance vs utility maximization in mobile crowd sensing: A distributed approach.
Proceedings of the IEEE Global Communications Conference, 2014


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