Taotao Wang Shenzhen University | Blockchain, Trustworthy Intelligence & Networked Systems
Associate Professor Shenzhen University

Taotao Wang

Chinese name of Taotao Wang

Networked Systems for Trustworthy Intelligence

My research lies at the intersection of networking, AI, and cryptographic security. Centered on decentralized systems, trustworthy AI, and cryptographic security mechanisms, I study networked systems for next-generation information infrastructures. My current interests include blockchain and Web 3.0 infrastructure, trustworthy and verifiable AI, and agentic networks and intelligent wireless networking.

Associate Professor, Shenzhen University | Stanford-Elsevier Top 2% Scientist | Ph.D. in Information Engineering, CUHK
Email: ttwang[#AT#]szu.edu.cn Alt: postman511[#AT#]gmail.com
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About Me

I received my Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2015, advised by Prof. Soung-Chang Liew. Before that, I earned my M.S. degree from Beijing University of Posts and Telecommunications in 2011 and my B.S. degree in Electronic Information Engineering from the University of Electronic Science and Technology of China in 2008.

From 2015 to 2016, I was a postdoctoral research fellow at the Institute of Network Coding of CUHK. I joined Shenzhen University in 2016, and I am currently an Associate Professor in the College of Electronics and Information Engineering. I am also affiliated with the Guangdong Provincial Social Science Research Base for FinTech and Digital Economy.

My long-term goal is to design new systems for next-generation information infrastructures rather than study isolated algorithms. Across my work, the recurring theme is to conduct research on the design, implementation, and optimization of systems for next-generation information infrastructures, centered on decentralized systems, trustworthy AI, and cryptographic security mechanisms.

Research Focus

Blockchain and decentralized systems

Blockchain and Decentralized Systems

Internet-of-Agents coordination and services, decentralized identity and admission control, consensus protocols, blockchain network measurement and optimization, DePIN, and Web 3.0 infrastructure and applications.

Trustworthy and verifiable AI

Trustworthy and Verifiable AI

Privacy-preserving and verifiable machine learning, federated learning, accountable LLM and multi-agent systems, zero-knowledge and cryptographic verification, secure biometric intelligence, and auditable AI mechanisms.

Intelligent wireless and edge networking

Intelligent Wireless and Edge Networking

Learning- and agent-based wireless access, Age-of-Information optimization, spectrum-aware consensus for edge IoT, resource allocation, cooperative communications, edge intelligence, and adaptive networking for dynamic wireless environments.

Open Positions

Who I am looking for

  • Ph.D. students interested in blockchain, distributed systems, trustworthy AI, or intelligent networking.
  • M.S. students who want project-based research training with strong implementation components.
  • Postdoctoral researchers working on blockchain and distributed systems, LLM and AI multi-agent systems, or trustworthy machine learning.
  • Undergraduate research interns with clear logical thinking, strong hands-on ability, and self-motivation.

What students can expect

  • End-to-end research training from problem formulation to system design, implementation, experiments, and paper writing.
  • Hands-on work on protocol design, system prototyping, AI for systems, privacy and security mechanisms, and real-world applications.
  • Opportunities to contribute to active projects in blockchain, trustworthy AI, LLM multi-agent systems, and wireless or edge networking.
  • If you are interested, please email your CV, transcript, and a short note on your research interests.

Recent Updates

  • 2026. Our paper HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems was accepted by AAAI 2026.
  • 2026. Our paper VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs was accepted by NDSS 2026.
  • 2025. I was selected as a 2025 Stanford-Elsevier Top 2% Scientist based on the citation impact of my publications.
  • 2025. Our paper Linking Souls to Humans on decentralized identity and credible anonymity was accepted by ACM WWW 2025.
  • 2023. Our team received the winner prize of the ScalingX Zero-Knowledge Hackathon and the silver prize of the Hong Kong Web 3.0 Innovation Hackathon.
  • 2022-2023. Our work on multi-agent wireless access was recognized as an ESI Highly Cited Paper, and our team earned an Honorable Mention in the iDASH 2022 blockchain challenge.

Selected Publications

* Corresponding author. # Equally contributing authors.

  1. Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning ParadigmTaotao Wang, Yuxin Jin, Qing Yang, Yihan Xia, Long Shi, Shengli Zhang. IEEE Communications Magazine, 2026. [CAS Q1]
  2. Eth2.0-NA: Modeling Message Propagation to Optimize Mesh Size in Ethereum 2.0 NetworkChonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, Lisheng Fan. IEEE INFOCOM 2026, 2026. [CCF-A]
  3. HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent SystemsYihan Xia, Taotao Wang*, Shengli Zhang, Zhangyuhua Weng, Bin Cao, Soung Chang Liew. AAAI 2026, 2026. [CCF-A]
  4. VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge ProofsGuofu Liao, Taotao Wang*, Shengli Zhang, Jiqun Zhang, Shi Long, Dacheng Tao. NDSS 2026, 2026. [CCF-A]
  5. TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web 3.0Jinyu Chen, Long Shi, Taotao Wang, Jiaheng Wang, Wei Zhang. IEEE Transactions on Mobile Computing, Early Access, Dec. 2025. [CCF-A]
  6. SpectrumBC: A Blockchain-Aided Cooperative Spectrum Sensing FrameworkYafan Yang, Long Shi, Zhe Wang, Jun Li, Taotao Wang, Jiaheng Wang. IEEE Transactions on Cognitive Communications and Networking, Vol. 11, No. 6, pp. 3926-3938, Dec. 2025. [CAS Q1]
  7. Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin EcosystemGuofu Liao, Taotao Wang*, Long Shi, Jiqun Zhang, Yihan Xia, Qing Yang, Xiaoxiao Wu, Shengli Zhang. Blockchain: Research and Applications, Oct. 2025. [CAS Q2]
  8. A Hierarchical Deep Learning Framework for Pair Trading with Attention and Graph NetworksYihan Xia, Taotao Wang*, Soung Chang Liew, Shengli Zhang. Expert Systems with Applications, Vol. 291, Oct. 2025. [CAS Q1]
  9. Proof-of-trusted-work: A lightweight blockchain consensus for decentralized IoT networksPengzhan Jiang, Long Shi, Bin Cao, Taotao Wang, Baofeng Ji, Jun Li. Digital Communications and Networks, Vol. 11, No. 4, pp. 1055-1066, Aug. 2025. [CAS Q2]
  10. A Novel and Secure Machine Learning-Based Hyperledger Blockchain for IoT HealthcareSidra Aslam, Saba Aslam, Taotao Wang*, Daquan Feng, Shengli Zhang. IEEE Internet of Things Journal, Vol. 12, No. 15, pp. 31126-31140, Aug. 2025. [CAS Q1]
  11. A Deep-Learning-Based MAC for Integrating Channel Access, Rate Adaptation and Channel SwitchJiantao Xin, Wei Xu, Bin Cao, Taotao Wang*, Shengli Zhang. Digital Communications and Networks, Vol. 11, No. 4, pp. 1042-1054, Aug. 2025. [CAS Q2]
  12. Web 3.0: A Survey on the Architectures, Enabling Technologies, Applications, and ChallengesBin Cao, Shaohe Xiao, Long Shi, Taotao Wang, Jinyu Chen, Jiaheng Wang, Xintong Ling, Hao Xu, Shengli Zhang, Erwu Liu. IEEE Communications Surveys & Tutorials, July 2025. [CAS Q1]
  13. Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized IdentityTaotao Wang, Zibin Lin, Shengli Zhang, Long Shi, Qing Yang, Boris Düdder. ACM WWW 2025, pp. 1-9, 2025. [CCF-A]
  14. Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-ValidationChonghe Zhao, Shengli Zhang, Taotao Wang, Soung Chang Liew. Future Generation Computer Systems, Vol. 163, 2025. [CAS Q1]
  15. Decentralized Physical Infrastructure Network (DePIN): Challenges and OpportunitiesZibin Lin, Taotao Wang, Long Shi, Shengli Zhang, Bin Cao. IEEE Network Magazine, 2025. [CAS Q1]
  16. DEthna: Accurate Ethereum Network Topology Discovery with Marked TransactionsChonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, Song Guo. IEEE INFOCOM 2024, pp. 1-10, May 2024. [CCF-A]
  17. Learning-Based Autonomous Channel Access in the Presence of Hidden TerminalsYulin Shao, Yucheng Cai, Taotao Wang*, Ziyang Guo, Peng Liu, Jiajun Luo, Deniz Gunduz. IEEE Transactions on Mobile Computing, Vol. 23, No. 5, pp. 3680-3695, May 2024. [CCF-A]
  18. Blockchain-aided Decentralized Trust Management of Edge Computing: Towards Reliable Off-chain and On-chain TrustLong Shi, Taotao Wang*, Zehui Xiong, Zhe Wang, Yang Liu, Jun Li. IEEE Network Magazine, Vol. 38, No. 5, pp. 182-188, May 2024. [CAS Q1]
  19. Reputation-Based Streamlet: An Enhanced BFT Consensus Algorithm for Improved Performance and ScalabilityBo Fang, Dancheng Zhao, Taotao Wang, Hao Wang, Shengli Zhang, Qing Yang. IEEE ICPADS 2023, pp. 699-706, Dec. 2023. [CCF-C]
  20. Account Service Network: A Unified Decentralized Web 3.0 Portal with Credible AnonymityTaotao Wang, Shengli Zhang, Qing Yang, Soung Chang Liew. IEEE Network Magazine, Vol. 37, No. 6, pp. 101-108, Nov. 2023. [CAS Q1]
  21. HCB: Enabling Compact Block in Ethereum Network with Secondary Pool and Transaction PredictionChonghe Zhao, Taotao Wang, Shengli Zhang, Soung Chang Liew. IEEE Transactions on Network Science and Engineering, Vol. 11, No. 1, pp. 1077-1092, Oct. 2023. [CAS Q2]
  22. A blockchain-empowered framework for decentralized trust management in Internet of Battlefield ThingsHoutian Wang, Taotao Wang#*, Long Shi, Naijin Liu, Shengli Zhang. Computer Networks, Vol. 237, 2023. [CAS Q2]
  23. Revisiting Non-coherent Detection of Differential PSK: A Factor Graph PerspectiveLong Shi, Taotao Wang*, Zhen Mei, Xianggen Xia. IEEE Communications Letters, Vol. 27, No. 2, pp. 701-705, Feb. 2023. [CAS Q2]
  24. Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-WorkLong Shi#, Taotao Wang#*, Jun Li, Shengli Zhang. IEEE Transactions on Cloud Computing, Vol. 11, No. 3, pp. 2756-2769, Dec. 2022. [CAS Q2]
  25. Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks With Imperfect ChannelsYiding Yu, Soung Chang Liew, Taotao Wang. IEEE Transactions on Mobile Computing, Vol. 21, No. 10, pp. 3718-3730, Oct. 2022. [CCF-A]
  26. A Novel Oracle-aided Industrial IoT Blockchain: Architecture, Challenges, and Potential SolutionsYu Du, Jun Li, Long Shi, Zhe Wang, Taotao Wang, Zhu Han. IEEE Network Magazine, Aug. 2022. [CAS Q1]
  27. When Federated Learning Meets Blockchain: A New Distributed Learning ParadigmChuan Ma, Jun Li, Ming Ding, Long Shi, Taotao Wang, Zhu Han, H. Vincent Poor. IEEE Computational Intelligence Magazine, Vol. 17, No. 3, pp. 26-33, Aug. 2022. [CAS Q1]
  28. Speeding up Block Propagation in Bitcoin Network: Uncoded and Coded DesignsLihao Zhang, Taotao Wang*, Soung Chang Liew. Computer Networks, Vol. 207, 2022. [CAS Q2]
  29. Secure Blockchain Platform for Industrial IoT with Trusted Computing HardwareQing Yang, Hao Wang, Xiaoxiao Wu, Taotao Wang, Shengli Zhang, Naijin Liu. IEEE Internet of Things Magazine, Vol. 4, No. 4, pp. 86-92, Dec. 2021.
  30. On Dynamic Resource Allocation for Blockchain Assisted Federated Learning Over Wireless ChannelsXiumei Deng, Jun Li, Long Shi, Zhe Wang, Hui Wang, Taotao Wang. IEEE CPSCom 2021. [Best Paper Award Runner-up]
  31. Speeding Up Block Propagation in Bitcoin Network: A Cut-through Relaying SchemeLihao Zhang, Taotao Wang*, Soung Chang Liew. IEEE CPSCom 2021. [Best Student Paper Award]
  32. Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless NetworksYiding Yu, Soung Chang Liew, Taotao Wang. IEEE Transactions on Mobile Computing, Vol. 20, No. 9, pp. 2848-2861, Sept. 2021. [CCF-A]
  33. Ethna: Analyzing the Underlying Peer-to-Peer Network of Ethereum BlockchainTaotao Wang, Chonghe Zhao, Qing Yang, Shengli Zhang, Soung Chang Liew. IEEE Transactions on Network Science and Engineering, Vol. 8, No. 3, pp. 2131-2146, 2021. [CAS Q2]
  34. Blockchain-based Decentralized Energy Management Platform for Residential Distributed Energy Resources in a Virtual Power PlantQing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang. Applied Energy, Vol. 294, 2021. [CAS Q1]
  35. When Blockchain Meets AI: Optimal Mining Strategy Achieved By Machine LearningTaotao Wang, Soung Chang Liew, Shengli Zhang. International Journal of Intelligent Systems, Vol. 36, No. 5, pp. 2183-2207, May 2021. [CAS Q1 Top]
  36. Chapter 2: Consensus Algorithm Analysis in Blockchain: PoW and RaftTaotao Wang, Dongyan Huang, Shengli Zhang. Handbook of Wireless Blockchain: Principles, Technologies and Applications, Wiley-IEEE, 2021.
  37. Optimal Rate-Diverse Wireless Network Coding Over Parallel SubchannelsTaotao Wang, Soung Chang Liew, Shakeel Salamat Ullah. IEEE Transactions on Communications, Vol. 68, No. 8, pp. 4891-4904, Aug. 2020. [CAS Q2]
  38. Deep Learning for Environment Identification in Vehicular NetworksMohamed Elwekeil, Taotao Wang*, Shengli Zhang. IEEE Wireless Communications Letters, Vol. 9, No. 5, pp. 576-580, May 2020. [CAS Q2]
  39. Non-Coherent NOMA With Massive MIMOTaotao Wang, Long Shi, Kui Cai, Lining Tian, Shengli Zhang. IEEE Wireless Communications Letters, Vol. 9, No. 2, pp. 134-138, Feb. 2020. [CAS Q2]
  40. AlphaSeq: Sequence Discovery with Deep Reinforcement LearningYulin Shao, Soung Chang Liew, Taotao Wang. IEEE Transactions on Neural Networks and Learning Systems, Oct. 2019. [CAS Q1 Top]
  41. Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless NetworksYiding Yu, Taotao Wang, Soung Chang Liew. IEEE Journal on Selected Areas in Communications, Vol. 34, No. 6, pp. 1277-1290, Jun. 2019. [CAS Q1 Top]
  42. Deep Convolutional Neural Networks for Link Adaptations in MIMO-OFDM Wireless SystemsMohamed Elwekeil, Shibao Jiang, Taotao Wang*, Shengli Zhang. IEEE Wireless Communications Letters, Vol. 8, No. 4, pp. 665-668, Jun. 2019. [CAS Q2]
  43. Gaussian Mixture Message Passing for Blind Known Interference CancellationTaotao Wang, Long Shi, Shengli Zhang, Hui Wang. IEEE Transactions on Wireless Communications, Vol. 18, No. 9, pp. 4268-4282, Jun. 2019. [CAS Q1 Top]
  44. ON-OFF Analog Beamforming for Massive MIMOShengli Zhang, Chongtao Guo, Taotao Wang*, Wei Zhang. IEEE Transactions on Vehicular Technology, Vol. 67, No. 5, pp. 4113-4123, May 2018. [CAS Q2]
  45. DCAP: Improving the Capacity of WiFi Networks with Distributed Cooperative Access PointsTaotao Wang, Qing Yang, Kun Tan, Jiansong Zhang, Shengli Zhang, Soung Chang Liew. IEEE Transactions on Mobile Computing, Vol. 17, No. 2, pp. 320-333, Feb. 2018. [CCF-A]
  46. Design of Distributed Protograph LDPC Codes for Multi-Relay Coded-Cooperative NetworksYi Fang, Soung Chang Liew, Taotao Wang. IEEE Transactions on Wireless Communications, Vol. 16, No. 11, pp. 7235-7251, Nov. 2017. [CAS Q1 Top]
  47. Optimal Rate-Diverse Wireless Network CodingTaotao Wang*, Soung Chang Liew, Long Shi. IEEE Transactions on Communications, Vol. 65, No. 6, pp. 2411-2426, Jun. 2017. [CAS Q2]
  48. Joint Multiple Symbol Differential Detection and Channel Decoding for Noncoherent UWB Impulse Radio by Belief PropagationTaotao Wang, Tiejun Lv, Hui Gao, Shengli Zhang. IEEE Transactions on Wireless Communications, Vol. 16, No. 1, pp. 293-306, Jan. 2017. [CAS Q1 Top]
  49. Frequency-Asynchronous Multiuser Joint Channel-Parameter Estimation, CFO Compensation and Channel DecodingTaotao Wang*, Soung Chang Liew. IEEE Transactions on Vehicular Technology, Vol. 65, No. 12, pp. 9732-9746, Dec. 2016. [CAS Q2]
  50. Joint Channel Estimation and Channel Decoding in Physical-Layer Network Coding Systems: An EM-BP Factor Graph FrameworkTaotao Wang*, Soung Chang Liew. IEEE Transactions on Wireless Communications, Vol. 13, No. 4, pp. 2229-2245, Apr. 2014. [CAS Q1 Top]
  51. BER Analysis of Decision-Feedback Multiple Symbol Detection in Noncoherent MIMO Ultra-Wideband SystemsTaotao Wang*, Tiejun Lv, Hui Gao, Yueming Lu. IEEE Transactions on Vehicular Technology, Vol. 62, No. 9, pp. 4684-4690, Jun. 2013. [CAS Q2]
  52. Implementation of Physical-Layer Network CodingLu Lu, Taotao Wang, Soung Chang Liew, Shengli Zhang. Physical Communication, Vol. 6, pp. 74-87, Mar. 2013. [CAS Q4]
  53. Decision-feedback Multiple Symbol Detection for Differential Space-time Block Coded UWB SystemsTiejun Lv, Taotao Wang, Hui Gao. Science China Information Sciences, 56(4), 2013. [CAS Q2]
  54. Sphere Decoding Based Multiple Symbol Detection for Differential Space-Time Block Coded Ultra-Wideband SystemsTaotao Wang*, Tiejun Lv, Hui Gao. IEEE Communications Letters, Vol. 15, No. 3, pp. 269-271, Mar. 2011. [CAS Q3]
  55. Canceling Interferences for High Data Rate Time Reversal MIMO UWB system: A Precoding ApproachTaotao Wang*, Tiejun Lv. EURASIP Journal on Wireless Communications and Networking, Vol. 2011, pp. 1-10, 2011. [CAS Q4]

Funding

Government and Academic Projects

  • National Natural Science Foundation of China (NSFC), General Program: Measurement, Modeling Analysis, and Topology Optimization of Blockchain-Oriented Large-Scale P2P Networks.
  • Shenzhen Science and Technology Program (Shenzhen-Hong Kong Joint Innovation Project): Multi-Stream Ultra-Reliable Networking and Real-Time Communication Technology in High-Performance IoT.
  • Natural Science Foundation of Guangdong Province, General Program: High-Speed Message Propagation Technology in Blockchain P2P Networks.
  • Shenzhen Science and Technology Program, General Program: Adaptive Spectrum Access Based on Distributed Multi-Agent Deep Reinforcement Learning.
  • Shenzhen Science and Technology Program, General Program: Communication and Networking for High-Reliability Heterogeneous Self-Organizing UAV Swarm Networks.
  • Natural Science Foundation of Guangdong Province, General Program: Intelligent Wireless Network MAC Protocols Based on Deep Reinforcement Learning.
  • NSFC Youth Fund: Iterative Channel Mismatch Correction and Target Signal Decoding for Physical-Layer Network Coding.
  • Shenzhen Science and Technology Program, Free Exploration Project: Application of Physical-Layer Network Coding in Smart Grids.
  • Natural Science Foundation of Guangdong Province, Doctoral Startup Fund: Joint Multi-Parameter Estimation, Compensation, and Channel Decoding for Physical-Layer Network Coding.
  • Shenzhen Overseas High-Caliber Personnel Fund, Research Startup Project.
  • Natural Science Foundation of Shenzhen University, Research Grant for Science and Engineering.

Industry and Collaborative Projects

  • CCF-Zhejiang Lab Joint Innovation Fund: Blockchain System as a Rule Engine for Decentralized Federated Learning.
  • Tencent Rhino-Bird Fund: Blockchain Network Structure and Communication Protocols with High-Speed Data Forwarding Capabilities.
  • Industry Cooperation Project: Automatic Advertising Copy Design System Based on Generative AI.
  • Industry Cooperation Project: Elevator Health Assessment and Fault Warning Technology Based on AI and Big Data.
  • China Academy of Space Technology (CAST): Space-Based Intelligent Resilient Networking and Trusted Control Mechanisms.
  • Huawei Technologies Cooperation Project: Optimization of Channel Access Algorithms and Protocol Design.
  • Industry Cooperation Project (Beijing Elements Credit): Big Data Blockchain Technology R&D.
  • Qian Xuesen Laboratory Cooperation Project: Spectrum Collaborative Simulation System and SDR Software Development.
  • Industry Cooperation Project: Blockchain System for Intellectual Property Evidence Platforms.
  • Industry Cooperation Project: Technical Solutions for Real Asset Digital Tokenization.

Awards and Recognition

  • Silver Prize, 2023 Hong Kong Web 3.0 Innovation Hackathon
  • Winner, 2023 ScalingX Zero-Knowledge Hackathon
  • IEEE CPSCOM 2021 Best Paper Award (Runner-up)
  • IEEE CPSCOM 2021 Best Student Paper Award
  • Excellent Reviewer Award, IEEE Wireless Communications Letters
  • Star of Tomorrow, Microsoft Research Asia
  • Hong Kong Ph.D Fellowship Scheme
  • Shenzhen Overseas High-level Talent (Peacock Project)
  • Best Master Degree Thesis Award, BUPT
  • Excellent Graduate, BUPT
  • Excellent Undergraduate, UESTC
  • Finalist Team, DARPA Spectrum Collaboration Challenge

Professional Activities

Editor and TPC Member

  • TPC Member, ACM WWW
  • TPC Member, IEEE CIC ICC 2019
  • TPC Member, IEEE ICCC 2020
  • Symposia Chair, IEEE WOCC 2022
  • Workshop Co-Chair, IEEE TrustCom 2025
  • Associate Editor, Scientific Reports
  • Associate Editor, IEEE TENCON 2020
  • Review Editor, Frontiers in Communications and Networks

Reviewer

  • AAAI Conference on Artificial Intelligence
  • IEEE Journal on Selected Areas in Communications
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Communications
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications Letters
  • IEEE Signal Processing Letters
  • IEEE Transactions on Neural Networks and Learning Systems

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