Select Publications

Book Chapters

Ma B; Zhao Y; Wang X; Liu Z; Lin X; Wang Z; Ni W; Liu RP, 2023, 'Vehicle Trajectory Obfuscation and Detection', in Advanced Sciences and Technologies for Security Applications, pp. 121 - 134, http://dx.doi.org/10.1007/978-3-031-24946-4_9

Zhang Z; Wang X; Yu G; Ni W; Liu RP; Georgalas N; Reeves A, 2022, 'A Community Detection-Based Blockchain Sharding Scheme', in , pp. 78 - 91, http://dx.doi.org/10.1007/978-3-031-23495-8_6

Bi S; Wang C; Wu B; Gong Y; Ni W, 2022, 'An Accurate Book-Localization Approach Based on Passive Ultra-High-Frequency RFID', in , pp. 584 - 591, http://dx.doi.org/10.1007/978-981-19-3927-3_58

Cui Q; Zhang X; Ni W; Zhang P, 2021, 'Big data analytics for intelligent management of autonomous vehicles in smart cities', in Communication Technologies for Networked Smart Cities, pp. 201 - 229

Wang X; Zha X; Yu G; Ni W; Liu RP, 2021, 'Blockchain for internet of things', in Blockchains for Network Security: Principles, technologies and applications, pp. 87 - 136, http://dx.doi.org/10.1049/PBPC029E_ch5

Ren Y; Cui Q; Zhao X; Wang Y; Huang X; Ni W, 2021, 'Data-Driven Intelligent Management of Energy Constrained Autonomous Vehicles in Smart Cities', in , pp. 112 - 125, http://dx.doi.org/10.1007/978-3-030-73423-7_9

Yu G; Wang X; Yu K; Ni W; Zhang JA; Liu RP, 2021, 'Scaling-out blockchains with sharding: An extensive survey', in Blockchains for Network Security: Principles, technologies and applications, pp. 225 - 270, http://dx.doi.org/10.1049/PBPC029E_ch10

Journal articles

Jiang Y; Ma B; Wang X; Yu G; Yu P; Wang Z; Ni W; Liu RP, 2024, 'Blockchained Federated Learning for Internet of Things: A Comprehensive Survey', ACM Computing Surveys, 56, pp. 1 - 37, http://dx.doi.org/10.1145/3659099

Qi L; Wu B; Chen X; Zhou L; Ni W; Jamalipour A, 2024, 'Joint Optimization of Internet of Things and Smart Grid for Energy Generation, Battery (Dis)charging, and Information Delivery', IEEE Internet of Things Journal, 11, pp. 21647 - 21658, http://dx.doi.org/10.1109/JIOT.2024.3377451

Gong Z; Cui Q; Ni W, 2024, 'Cross-Domain Knowledge Transfer for Sustainable Heterogeneous Industrial Internet-of-Things Networks', Sensors, 24, http://dx.doi.org/10.3390/s24113265

Moosavi SKR; Saadat A; Abaid Z; Ni W; Li K; Guizani M, 2024, 'Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm (HSCFHA)', Future Generation Computer Systems, 155, pp. 272 - 286, http://dx.doi.org/10.1016/j.future.2024.02.017

Altaf T; Wang X; Ni W; Yu G; Liu RP; Braun R, 2024, 'GNN-Based Network Traffic Analysis for the Detection of Sequential Attacks in IoT', Electronics (Switzerland), 13, http://dx.doi.org/10.3390/electronics13122274

Yang C; Wang X; Ni W, 2024, 'Joint Transmit and Receive Beamforming Design for DPC-Based MIMO DFRC Systems', Electronics (Switzerland), 13, http://dx.doi.org/10.3390/electronics13101846

Zhang Z; Yu G; Sun C; Wang X; Wang Y; Zhang M; Ni W; Liu RP; Reeves A; Georgalas N, 2024, 'TBDD: A new trust-based, DRL-driven framework for blockchain sharding in IoT', Computer Networks, 244, http://dx.doi.org/10.1016/j.comnet.2024.110343

Zhou X; Lin Z; Gu R; Ni W; Jamalipour A, 2024, 'A New Meta-Learning Framework for Estimating Atmospheric Turbulence and Phase Noise in Optical Satellite Internet of Things Systems', IEEE Internet of Things Journal, 11, pp. 11190 - 11201, http://dx.doi.org/10.1109/JIOT.2023.3329566

Liu B; Ni W; Liu RP; Guo YJ; Zhu H, 2024, 'Optimal Electric Vehicle Charging Strategies for Long-Distance Driving', IEEE Transactions on Vehicular Technology, 73, pp. 4949 - 4960, http://dx.doi.org/10.1109/TVT.2023.3332097

Ma X; Huang M; Ni W; Yin M; Min J; Jamalipour A, 2024, 'Balancing Time and Energy Efficiency by Sizing Clusters: A New Data Collection Scheme in UAV-Aided Large-Scale Internet of Things', IEEE Internet of Things Journal, 11, pp. 9355 - 9367, http://dx.doi.org/10.1109/JIOT.2023.3323321

Xing J; Lv T; Li W; Ni W; Jamalipour A, 2024, 'Joint Optimization of Beamforming and Noise Injection for Covert Downlink Transmissions in Cell-Free Internet of Things Networks', IEEE Internet of Things Journal, 11, pp. 10525 - 10536, http://dx.doi.org/10.1109/JIOT.2023.3326275

Gao T; Duan L; Feng L; Ni W; Sheng QZ, 2024, 'A Novel Blockchain-Based Responsible Recommendation System for Service Process Creation and Recommendation', ACM Transactions on Intelligent Systems and Technology, http://dx.doi.org/10.1145/3643858

Guan Y; Zou S; Peng H; Ni W; Sun Y; Gao H, 2024, 'Cooperative UAV Trajectory Design for Disaster Area Emergency Communications: A Multiagent PPO Method', IEEE Internet of Things Journal, 11, pp. 8848 - 8859, http://dx.doi.org/10.1109/JIOT.2023.3320796

Yuan X; Hu S; Ni W; Wang X; Jamalipour A, 2024, 'Empowering Reconfigurable Intelligent Surfaces with Artificial Intelligence to Secure Air-To-Ground Internet-of-Things', IEEE Internet of Things Magazine, 7, pp. 14 - 21, http://dx.doi.org/10.1109/IOTM.001.2300129

Wang Z; Cao Y; Chang Z; Lv T; Ni W, 2024, 'Energy efficiency maximization in UAV communication networks with nonlinear energy harvesting', Computer Networks, 241, http://dx.doi.org/10.1016/j.comnet.2024.110222

Qu Y; Yuan X; Ding M; Ni W; Rakotoarivelo T; Smith D, 2024, 'Learn to Unlearn: Insights Into Machine Unlearning', Computer, 57, pp. 79 - 90, http://dx.doi.org/10.1109/MC.2023.3333319

Li Z; Zhou X; Ni W; Wang X, 2024, 'A New Photon-Counting MU-MISO Ultraviolet Communication System With MMSE Precoding in Turbulence Channels', IEEE Transactions on Vehicular Technology, http://dx.doi.org/10.1109/TVT.2024.3373655

Qi X; Li C; Ni W; Ma H, 2024, 'A novel adaptive fuzzy prescribed performance congestion control for network systems with predefined settling time', Neural Computing and Applications, 36, pp. 523 - 532, http://dx.doi.org/10.1007/s00521-023-09022-w

Yang W; Zou S; Gao H; Wang L; Ni W, 2024, 'A Novel Method for Targeted Identification of Essential Proteins by Integrating Chemical Reaction Optimization and Naive Bayes Model', IEEE/ACM Transactions on Computational Biology and Bioinformatics, http://dx.doi.org/10.1109/TCBB.2024.3382392

You F; Yuan X; Ni W; Jamalipour A, 2024, 'A Novel Privacy-Preserving Incentive Mechanism for Multi-Access Edge Computing', IEEE Transactions on Cognitive Communications and Networking, http://dx.doi.org/10.1109/TCCN.2024.3391303

Jin X; Lv T; Ni W; Lin Z; Zhu Q; Hossain E; Poor HV, 2024, 'A Reconfigurable Subarray Architecture and Hybrid Beamforming for Millimeter-Wave Dual-Function-Radar-Communication Systems', IEEE Transactions on Wireless Communications, http://dx.doi.org/10.1109/TWC.2024.3393739

Geng Y; Liu E; Ni W; Wang R; Liu Y; Xu H; Cai C; Jamalipour A, 2024, 'Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning', IEEE Transactions on Cognitive Communications and Networking, http://dx.doi.org/10.1109/TCCN.2024.3400516

Qi X; Li C; Chen B; Ni W; Ma H, 2024, 'Correction to: Novel neural adaptive terminal sliding mode control for TCP network systems with arbitrary convergence time (Neural Computing and Applications, (2023), 35, 27, (20365-20374), 10.1007/s00521-023-08746-z)', Neural Computing and Applications, 36, pp. 519, http://dx.doi.org/10.1007/s00521-023-09048-0

Wan Y; Qu Y; Ni W; Xiang Y; Gao L; Hossain E, 2024, 'Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey', IEEE Communications Surveys and Tutorials, http://dx.doi.org/10.1109/COMST.2024.3361451

Li K; Zheng J; Yuan X; Ni W; Akan OB; Poor HV, 2024, 'Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach', IEEE Transactions on Information Forensics and Security, 19, pp. 3465 - 3480, http://dx.doi.org/10.1109/TIFS.2024.3362147

Li W; Lv T; Ni W; Zhao J; Hossain E; Poor HV, 2024, 'Decentralized Federated Learning Over Imperfect Communication Channels', IEEE Transactions on Communications, http://dx.doi.org/10.1109/TCOMM.2024.3407208

Li C; Ni W; Ding M; Qu Y; Chen J; Smith D; Zhang W; Rakotoarivelo T, 2024, 'Decentralized Privacy Preservation for Critical Connections in Graphs', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2024.3406641

Bi S; Li K; Hu S; Ni W; Wang C; Wang X, 2024, 'Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations', IEEE Transactions on Information Forensics and Security, 19, pp. 1883 - 1895, http://dx.doi.org/10.1109/TIFS.2023.3341398

Kurunathan H; Li K; Tovar E; Jorge AM; Ni W; Jamalipour A, 2024, 'DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2024.3410534

Hailong H; Eskandari M; Savkin AV; Ni W, 2024, 'Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers', Defence Technology, 31, pp. 537 - 543, http://dx.doi.org/10.1016/j.dt.2022.12.010

Wang W; Wang W; Yu H; Wu B; Zou S; Ni W; Zhang J, 2024, 'Joint Routing and Scheduling for In-Vehicle Networks: A Deterministic Perspective', IEEE Transactions on Intelligent Vehicles, http://dx.doi.org/10.1109/TIV.2024.3397645

Li K; Yuan X; Zheng J; Ni W; Dressler F; Jamalipour A, 2024, 'Leverage Variational Graph Representation for Model Poisoning on Federated Learning', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2024.3394252

Kurunathan H; Huang H; Li K; Ni W; Hossain E, 2024, 'Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey', IEEE Communications Surveys and Tutorials, 26, pp. 496 - 533, http://dx.doi.org/10.1109/COMST.2023.3312221

Raza MA; Abolhasan M; Lipman J; Shariati N; Ni W; Jamalipour A, 2024, 'Multi-Agent Multi-Armed Bandit Learning for Grant-Free Access in Ultra-Dense IoT Networks', IEEE Transactions on Cognitive Communications and Networking, http://dx.doi.org/10.1109/TCCN.2024.3366908

Hu B; Tian H; Ni W; Fan S; Ni W; Hossain E, 2024, 'Multipath Identification, User Localization, and Environment Mapping in Radio SLAM', IEEE Transactions on Communications, http://dx.doi.org/10.1109/TCOMM.2024.3393977

Hu S; Yuan X; Ni W; Wang X; Hossain E; Poor HV, 2024, 'OFDMA-F2L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface', IEEE Transactions on Wireless Communications, http://dx.doi.org/10.1109/TWC.2023.3334691

Chen X; Chen S; Ni W; Wang X; Zhang S; Zhang S; Sun Y; Xu S; Jamalipour A, 2024, 'Optimal Two-Timescale Configuration of Mobile Edge Computing With Mixed Energy Supply', IEEE Transactions on Smart Grid, http://dx.doi.org/10.1109/TSG.2024.3390772

Xiao B; Yu X; Ni W; Wang X; Poor HV, 2024, 'Over-the-air federated learning: Status quo, open challenges, and future directions', Fundamental Research, http://dx.doi.org/10.1016/j.fmre.2024.01.011

Liu B; Ni W; Liu RP; Guo YJ; Zhu H, 2024, 'Privacy-Preserving Routing and Charging Scheduling for Cellular-Connected Unmanned Aerial Vehicles', IEEE Transactions on Systems, Man, and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2024.3392011

Chen X; Li Z; Ni W; Wang X; Zhang S; Sun Y; Xu S; Pei Q, 2024, 'Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach', IEEE Transactions on Communications, http://dx.doi.org/10.1109/TCOMM.2024.3420733

Wang Q; Zou S; Sun Y; Liwang M; Wang X; Ni W, 2024, 'Towards Intelligent and Adaptive Task Scheduling for 6G: An Intent-Driven Framework', IEEE Transactions on Cognitive Communications and Networking, http://dx.doi.org/10.1109/TCCN.2024.3391318

Liu D; Gao Y; Hu S; Ni W; Wang X, 2024, 'Trajectory Design for Integrated Sensing and Communication Enabled by Cellular-Connected UAV', IEEE Wireless Communications Letters, http://dx.doi.org/10.1109/LWC.2024.3399268

Moosavi SKR; Zafar MH; Saadat A; Abaid Z; Ni W; Jamalipour A; Sanfilippo F, 2024, 'Transductive Transfer Learning-Assisted Hybrid Deep Learning Model for Accurate State of Charge Estimation of Li-Ion Batteries in Electric Vehicles', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2024.3403518


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