Lan Zhang
Orcid: 0000-0002-7718-6128Affiliations:
- Michigan Technological University, Houghton, MI, USA
- University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA (PhD 2020)
According to our database1,
Lan Zhang
authored at least 61 papers
between 2015 and 2024.
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Bibliography
2024
Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels.
IEEE Trans. Big Data, December, 2024
IEEE Trans. Mob. Comput., November, 2024
Cooperative Caching in Satellite-Terrestrial Integrated Networks: A Region Features Aware Approach.
IEEE Trans. Veh. Technol., July, 2024
Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction.
IEEE Commun. Lett., April, 2024
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach.
CoRR, 2024
CoRR, 2024
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE Intelligent Mobile Computing, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
IEEE Netw., November, 2023
IEEE Trans. Ind. Informatics, July, 2023
Secure Transmission by Leveraging Multiple Intelligent Reflecting Surfaces in MISO Systems.
IEEE Trans. Mob. Comput., April, 2023
Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks.
IEEE Trans. Netw. Serv. Manag., March, 2023
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing.
IEEE Internet Things J., February, 2023
A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection.
IEEE Trans. Dependable Secur. Comput., 2023
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication.
CoRR, 2023
CoRR, 2023
Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the Security and Privacy in Cyber-Physical Systems and Smart Vehicles, 2023
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.
Proceedings of the IEEE International Conference on Mobility, 2023
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge.
Proceedings of the IEEE Global Communications Conference, 2023
2022
End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services.
IEEE/ACM Trans. Netw., 2022
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
CoRR, 2022
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach.
IEEE Trans. Netw. Sci. Eng., 2021
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning.
CoRR, 2021
CoRR, 2021
A Privacy-Preserving Trust Management System based on Blockchain for Vehicular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments.
Proceedings of the Advances in Simulation and Digital Human Modeling, 2021
2020
Augmenting Transmission Environments for Better Communications: Tunable Reflector Assisted MmWave WLANs.
IEEE Trans. Veh. Technol., 2020
Proc. IEEE, 2020
2019
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks.
IEEE Trans. Wirel. Commun., 2019
A Machine Learning-Based Defensive Alerting System Against Reckless Driving in Vehicular Networks.
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Veh. Technol., 2019
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Robust Energy-Efficient Beamforming in MISO Networks with Dynamic Energy Consumption Model.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2017
IEEE Trans. Veh. Technol., 2017
Energy Efficient Sleep Strategy for Decoupled Uplink#x002F;Downlink Access in HetNets.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
2015
CoRR, 2015
Proceedings of the IEEE International Conference on Communication, 2015
A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015