Lan Zhang

Orcid: 0000-0002-7718-6128

Affiliations:

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 48 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction.

[BibT_eX]

[DOI]

IEEE Commun. Lett., April, 2024

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Advanced Networking and Applications for Metaverse and Web 3.0.

[BibT_eX]

[DOI]

IEEE Netw., November, 2023

Edge-Based IIoT Malware Detection for Mobile Devices With Offloading.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, July, 2023

Secure Transmission by Leveraging Multiple Intelligent Reflecting Surfaces in MISO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., April, 2023

Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., March, 2023

Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Mobility, 2023

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Distributed Pruning Towards Tiny Neural Networks in Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

Timeliness-Aware Incentive Mechanism for Vehicular Crowdsourcing in Smart Cities.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

A Blockchain-Based Human-to-Infrastructure Contact Tracing Approach for COVID-19.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Energy-Efficient UAV-Aided Target Tracking Systems Based on Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Semi-Supervised Domain Adaptation via Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

Membership Inference Attacks and Defenses in Neural Network Pruning.

[BibT_eX]

[DOI]

Xiaoyong Yuan

Lan Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection.

[BibT_eX]

[DOI]

Saket S. Chaturvedi

Lan Zhang

Xiaoyong Yuan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Cascade Vertical Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Lan Zhang

Dapeng Wu

Xiaoyong Yuan

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Content-Aware Routing based on Cached Content Prediction in Satellite Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning.

[BibT_eX]

[DOI]

Lan Zhang

Xiaoyong Yuan

CoRR, 2021

A Vertical Federated Learning Framework for Horizontally Partitioned Labels.

[BibT_eX]

[DOI]

CoRR, 2021

A Privacy-Preserving Trust Management System based on Blockchain for Vehicular Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Simulation and Digital Human Modeling, 2021

2020

Augmenting Transmission Environments for Better Communications: Tunable Reflector Assisted MmWave WLANs.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

A Machine Learning-Based Defensive Alerting System Against Reckless Driving in Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

SPATH: Finding the Safest Walking Path in Smart Cities.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Tunable Reflectors Enabled Environment Augmentation for Better mmWave WLANs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

FRESH: FReshness-Aware Energy-Efficient ScHeduler for Cellular IoT Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Delay-Aware Incentive Mechanism for Crowdsourcing with Vehicles in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Robust Energy-Efficient Beamforming in MISO Networks with Dynamic Energy Consumption Model.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Learning-Based mmWave V2I Environment Augmentation through Tunable Reflectors.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2017

Uplink Performance Improvement by Decoupling Uplink/Downlink Access in HetNets.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2017

2015

A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Lan Zhang

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