Lan Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Knowledge Transfer

Reinforcement Learning

Malware Detection

Vehicular Networks

Top Venues

IEEE Trans. Veh. Technol.

IEEE Internet Things J.

Publications

Jin Tang, Jian Li, Xianhao Chen, Kaiping Xue, Lan Zhang, Qibin Sun, Jun Lu
Cooperative Caching in Satellite-Terrestrial Integrated Networks: A Region Features Aware Approach. IEEE Trans. Veh. Technol. 73 (7) (2024)
Fangzhou Zhao, Yao Sun, Lei Feng, Lan Zhang, Dezong Zhao
Enhancing Reasoning Ability in Semantic Communication Through Generative AI-Assisted Knowledge Construction. IEEE Commun. Lett. 28 (4) (2024)
Le Xia, Yao Sun, Dusit Niyato, Lan Zhang, Muhammad Ali Imran
Wireless Resource Optimization in Hybrid Semantic/Bit Communication Networks. CoRR (2024)
Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR (2024)
Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. WACV (2024)
Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. CoRR (2024)
Lan Zhang, Madhureeta Das, Yao Sun, Dusit Niyato, Xiaoyong Yuan
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. GLOBECOM (2023)
Xiaoheng Deng, Jincai Zhu, Xinjun Pei, Lan Zhang, Zhen Ling, Kaiping Xue
Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks. IEEE Trans. Netw. Serv. Manag. 20 (1) (2023)
Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. CoRR (2023)
Bin Cao, Lei Zhang, Lan Zhang, Salil S. Kanhere, Chen Sun, Dusit Niyato
Advanced Networking and Applications for Metaverse and Web 3.0. IEEE Netw. 37 (6) (2023)
Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu
Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS (2023)
Jian Li, Lan Zhang, Kaiping Xue, Yuguang Fang, Qibin Sun
Secure Transmission by Leveraging Multiple Intelligent Reflecting Surfaces in MISO Systems. IEEE Trans. Mob. Comput. 22 (4) (2023)
Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST (2023)
Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA (2023)
Xiaoheng Deng, Xinjun Pei, Shengwei Tian, Lan Zhang
Edge-Based IIoT Malware Detection for Mobile Devices With Offloading. IEEE Trans. Ind. Informatics 19 (7) (2023)
Madhureeta Das, Zhen Liu, Xianhao Chen, Xiaoyong Yuan, Lan Zhang
Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer. SmartSP (2023)
Xiaoheng Deng, Jian Yin, Peiyuan Guan, Neal N. Xiong, Lan Zhang, Shahid Mumtaz
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing. IEEE Internet Things J. 10 (4) (2023)
Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. ICCV (2023)
Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR (2023)
Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Lan Zhang, Kaiping Xue
A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection. IEEE Trans. Dependable Secur. Comput. 20 (3) (2023)
Lan Zhang, Dapeng Wu, Xiaoyong Yuan
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. ICDCS (2022)
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. CoRR (2022)
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. ICPR (2022)
Xiaoyong Yuan, Lan Zhang
Membership Inference Attacks and Defenses in Neural Network Pruning. USENIX Security Symposium (2022)
Xiaoyong Yuan, Xiyao Ma, Lan Zhang, Yuguang Fang, Dapeng Wu
Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning. IEEE Internet Things J. 9 (4) (2022)
Xianhao Chen, Guangyu Zhu, Haichuan Ding, Lan Zhang, Haixia Zhang, Yuguang Fang
End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services. IEEE/ACM Trans. Netw. 30 (6) (2022)
Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC (2022)
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
Cascade Vertical Federated Learning. ICME (2022)
Xianhao Chen, Lan Zhang, Yawei Pang, Bin Lin, Yuguang Fang
Timeliness-Aware Incentive Mechanism for Vehicular Crowdsourcing in Smart Cities. IEEE Trans. Mob. Comput. 21 (9) (2022)
Xiaoheng Deng, Jun Li, Peiyuan Guan, Lan Zhang
Energy-Efficient UAV-Aided Target Tracking Systems Based on Edge Computing. IEEE Internet Things J. 9 (3) (2022)
Danxin Wang, Xianhao Chen, Lan Zhang, Yuguang Fang, Chuanhe Huang
A Blockchain-Based Human-to-Infrastructure Contact Tracing Approach for COVID-19. IEEE Internet Things J. 9 (14) (2022)
Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR (2022)
Xiaoyong Yuan, Lan Zhang
Membership Inference Attacks and Defenses in Neural Network Pruning. CoRR (2022)
Xiaoyong Yuan, Leah Ding, Lan Zhang, Xiaolin Li, Dapeng Oliver Wu
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Madhureeta Das, Xianhao Chen, Xiaoyong Yuan, Lan Zhang
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer. CoRR (2022)
Danxin Wang, Lan Zhang, Chuanhe Huang, Xieyang Shen
A Privacy-Preserving Trust Management System based on Blockchain for Vehicular Networks. WCNC (2021)
Xianhao Chen, Guangyu Zhu, Lan Zhang, Yuguang Fang, Linke Guo, Xinguang Chen
Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach. CoRR (2021)
Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan
A Vertical Federated Learning Framework for Horizontally Partitioned Labels. CoRR (2021)
Lan Zhang, Xiaoyong Yuan
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. CoRR (2021)
Lan Zhang, Xianhao Chen, Yawei Pang, Xiaoyong Yuan
Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments. AHFE (6) (2021)
Xianhao Chen, Guangyu Zhu, Lan Zhang, Yuguang Fang, Linke Guo, Xinguang Chen
Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Rongxing Lu, Lan Zhang, Jianbing Ni, Yuguang Fang
5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy. Proc. IEEE 108 (2) (2020)
Lan Zhang, Li Yan, Bin Lin, Haichuan Ding, Yuguang Fang, Xuming Fang
Augmenting Transmission Environments for Better Communications: Tunable Reflector Assisted MmWave WLANs. IEEE Trans. Veh. Technol. 69 (7) (2020)
Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles. CoRR (2020)
Lan Zhang, Li Yan, Yawei Pang, Yuguang Fang
FRESH: FReshness-Aware Energy-Efficient ScHeduler for Cellular IoT Systems. ICC (2019)
Yawei Pang, Lan Zhang, Haichuan Ding, Yuguang Fang, Shigang Chen
SPATH: Finding the Safest Walking Path in Smart Cities. IEEE Trans. Veh. Technol. 68 (7) (2019)
Xianhao Chen, Lan Zhang, Bin Lin, Yuguang Fang
Delay-Aware Incentive Mechanism for Crowdsourcing with Vehicles in Smart Cities. GLOBECOM (2019)
Lan Zhang, Xianhao Chen, Yuguang Fang, Xiaoxia Huang, Xuming Fang
Learning-Based mmWave V2I Environment Augmentation through Tunable Reflectors. GLOBECOM (2019)
Li Yan, Haichuan Ding, Lan Zhang, Jianqing Liu, Xuming Fang, Yuguang Fang, Ming Xiao, Xiaoxia Huang
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks. IEEE Trans. Wirel. Commun. 18 (10) (2019)
Lan Zhang, Li Yan, Bin Lin, Yuguang Fang, Xuming Fang
Tunable Reflectors Enabled Environment Augmentation for Better mmWave WLANs. ICCC (2019)
Lan Zhang, Li Yan, Yuguang Fang, Xuming Fang, Xiaoxia Huang
A Machine Learning-Based Defensive Alerting System Against Reckless Driving in Vehicular Networks. IEEE Trans. Veh. Technol. 68 (12) (2019)
Lan Zhang, Weili Nie, Gang Feng, Fu-Chun Zheng, Shuang Qin
Uplink Performance Improvement by Decoupling Uplink/Downlink Access in HetNets. IEEE Trans. Veh. Technol. 66 (8) (2017)