深圳大学 · 副教授 · 博导

Taotao Wang

王滔滔

面向可信智能的开放网络与系统

我的研究位于网络通信、人工智能与密码安全的交叉地带。从 AI 智能体到协同学习,智能服务正日益运行在开放网络与系统之上,而其中的参与者之间无法简单地相互信任。由此我沿三条主线开展研究:如何借助零知识证明等工具,使智能计算可信、可验证;智能体如何在网络中协同;以及区块链等去中心化系统如何在无需中心信任的前提下高效、可扩展地运行。

深圳大学副教授 | 斯坦福-爱思唯尔全球前2%科学家(2025) | 香港中文大学信息工程博士

邮箱: ttwang[nospam]@szu.edu.cn · 备用: postman511[nospam]@gmail.com

王滔滔照片
深圳大学 香港中文大学 北京邮电大学 电子科技大学

关于我

我于 2015 年在香港中文大学获得信息工程博士学位,导师为 Soung-Chang Liew 教授。此前,我于 2011 年获得北京邮电大学信号与信息处理硕士学位,并于 2008 年获得电子科技大学电子信息工程专业学士学位。

2015 至 2016 年,我在香港中文大学网络编码研究所从事博士后研究。2016 年加入深圳大学,现任电子与信息工程学院副教授,同时依托广东省金融科技及数字经济社会科学研究基地开展研究工作。

我的长期目标是构建可运行的系统,而不仅是研究孤立算法。我的研究起步于无线网络:博士期间在香港中文大学从事物理层网络编码研究,此后开展基于学习的多址接入研究;随后拓展到区块链与去中心化网络;目前聚焦开放网络与人工智能的结合点:智能参与者之间如何协作,以及它们的计算如何被验证。

研究方向

可信与可验证智能计算

可信与可验证智能计算

研究如何使 AI 模型与智能体可信、可验证,覆盖模型的训练、微调与推理,以及智能体的决策与行动。重点关注零知识证明、隐私保护计算、可验证机器学习与可验证智能体执行,尤其关注严格的安全保证与实际性能之间的权衡。

智能体协同网络

智能体协同网络

研究智能体如何在网络中相互发现、共享能力并协同决策,重点关注智能体 P2P 网络、大语言模型多智能体协同机制以及智能体驱动的网络优化,尤其关注协同收益与通信开销之间的权衡。

区块链与去中心化系统

区块链与去中心化系统

研究区块链与去中心化系统如何在无需中心信任的前提下高效、可扩展地运行,重点关注区块链网络协议、去中心化身份与 Web 3.0 应用系统,尤其关注去中心化程度与系统性能之间的权衡。

招生与招募

我期待的学生与合作者

  • 对可信与可验证智能计算、智能体协同网络、区块链与去中心化系统任一方向感兴趣的博士生。
  • 希望接受项目制科研训练、并愿意做较强实现工作的硕士生。
  • 在零知识证明与可验证机器学习、大语言模型多智能体系统、区块链与去中心化系统等方向有扎实积累的博士后或研究人员。
  • 逻辑清晰、动手能力强、具有自驱力的本科科研实习生。

你将获得的训练与机会

  • 从问题提出、系统设计、实现、实验到论文写作的完整科研训练。
  • 参与协议设计、系统原型、面向系统的人工智能方法、隐私与安全机制以及真实场景应用的机会。
  • 可直接加入三个方向的活跃项目,包括基于零知识证明的可验证 AI、大语言模型多智能体系统,以及区块链/Web 3.0 系统。
  • 如有兴趣,请邮件发送个人简历、成绩单,以及一段简短的研究兴趣说明。

近期动态

代表性论文

* 通讯作者。# 共同一作。

  1. ZKEnroll: Privacy-Preserving Batch Enrollment for IoT Devices via Recursive Proof AggregationZibin Lin, Taotao Wang*, Shengli Zhang, Long Shi, Boris Düdder. IEEE Internet of Things Journal, Early Access, 2026.
  2. BioZKFHE: Scalable Encrypted Biometric Identification via Verifiable Homomorphic Similarity EvaluationRundong Xin, Taotao Wang*, Xiaoxiao Wu, Weizhi Meng, Shengli Zhang, Shui Yu. IEEE Transactions on Dependable and Secure Computing, Early Access, 2026.
  3. U-DID: A Self-Sovereign Identity Based Trustworthiness for Multimedia in 6GHaoyang Li, Bin Cao, Mingrui Cao, Mingtao Deng, Taotao Wang. IEEE Transactions on Multimedia, Early Access, 2026.
  4. An LLM-Agent-Based Framework for Age of Information Optimization in Heterogeneous Multiple Access NetworksFang Liu, Erchao Zhu, Jiedan Tan, Jingwen Tong, Taotao Wang*, Shengli Zhang. IEEE Open Journal of the Communications Society, Early Access, 2026.
  5. Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingTaotao Wang, Lizhao You, Jingwen Tong, Chonghe Zhao, and Shengli Zhang. IEEE Communications Magazine, June 2026, Accepted.
  6. BELLTP: Bandwidth-Efficient and Low-Latency Transaction Propagation in Ethereum NetworkChonghe Zhao, Deen Ma, Shengli Zhang, Taotao Wang, Lisheng Fan. IEEE Transactions on Network Science and Engineering, 2026.
  7. Securing Decentralized Federated Learning: An Integrated Approach with Blockchain, TEE, and Internal Attack DetectionXiaoxiao Wu, Youheng He, Taotao Wang*, Bin Cao. Expert Systems with Applications, Vol. 322, 132322, 2026.
  8. Derule: A Blockchain-Based Decentralized Rule Engine for Managing User-Generated Content in Web3.0 EcosystemsQing Yang, Huazheng Cheng, Bin Cao, Taotao Wang*, Shengli Zhang. ACM Transactions on Multimedia Computing, Communications and Applications, 2026.
  9. A Survey of Zero-Knowledge Proof Based Verifiable Machine LearningZhizhi Peng#, Chonghe Zhao#, Taotao Wang#*, Guofu Liao, Zibin Lin, Yifeng Liu, Bin Cao, Long Shi, Qing Yang, Shengli Zhang. Artificial Intelligence Review, 2026.
  10. 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.
  11. 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.
  12. 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.
  13. VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge ProofsGuofu Liao, Taotao Wang*, Shengli Zhang, Jiqun Zhang, Long Shi, Dacheng Tao. NDSS 2026, 2026.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. Decentralized Physical Infrastructure Network (DePIN): Challenges and OpportunitiesZibin Lin, Taotao Wang, Long Shi, Shengli Zhang, Bin Cao. IEEE Network Magazine, 2025.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Speeding up Block Propagation in Bitcoin Network: Uncoded and Coded DesignsLihao Zhang, Taotao Wang*, Soung Chang Liew. Computer Networks, Vol. 207, 2022.
  38. 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.
  39. 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]
  40. 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]
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. Chapter 2: Consensus Algorithm Analysis in Blockchain: PoW and RaftTaotao Wang, Dongyan Huang, Shengli Zhang. Handbook of Wireless Blockchain, Wiley-IEEE, 2021.
  46. 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.
  47. 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.
  48. 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.
  49. AlphaSeq: Sequence Discovery with Deep Reinforcement LearningYulin Shao, Soung Chang Liew, Taotao Wang. IEEE Transactions on Neural Networks and Learning Systems, Oct. 2019.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. Implementation of Physical-Layer Network CodingLu Lu, Taotao Wang, Soung Chang Liew, Shengli Zhang. Physical Communication, Vol. 6, pp. 74-87, Mar. 2013.
  62. 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.
  63. 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.
  64. 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.

主持项目

纵向项目

  • 国家自然科学基金面上项目:面向区块链的大规模 P2P 网络测量、建模分析与拓扑优化。
  • 深圳市科技计划深港联合创新项目:高性能物联网中的多流超可靠组网与实时通信技术。
  • 广东省自然科学基金面上项目:区块链 P2P 网络中的高速消息传播技术。
  • 深圳市科技计划面上项目:基于分布式多智能体深度强化学习的自适应频谱接入技术。
  • 深圳市科技计划面上项目:高可靠异构自组织无人机蜂群网络的通信与组网技术。
  • 广东省自然科学基金面上项目:基于深度强化学习的智能无线网络 MAC 协议。
  • 国家自然科学基金青年项目:物理层网络编码中的迭代信道失配校正与目标信号译码。
  • 深圳市自由探索项目:物理层网络编码在智能电网中的应用。
  • 广东省自然科学基金博士启动项目:物理层网络编码中的联合多参数估计、补偿与信道译码。
  • 深圳市海外高层次人才科研启动项目。
  • 深圳大学理工科基础科研基金。

横向项目

  • CCF-之江实验室联合创新基金:作为去中心化联邦学习规则引擎的区块链系统设计与实现。
  • 腾讯"犀牛鸟"基金:具有高速数据转发能力的区块链网络结构与通信协议研究。
  • 企业合作项目:基于生成式 AI 的广告文案自动设计系统。
  • 企业合作项目:基于 AI 与大数据的电梯健康评估与故障预警技术。
  • 中国空间技术研究院合作项目:天基智能弹性组网与可信控制机制。
  • 华为技术合作项目:信道接入算法优化与协议设计。
  • 企业合作项目(北京元素征信):大数据区块链技术研发。
  • 钱学森实验室合作项目:频谱协同仿真系统与 SDR 软件开发。
  • 企业合作项目:知识产权存证平台区块链系统开发。
  • 企业合作项目:实体资产数字代币化技术方案研究。

奖励与荣誉

  • 2023 香港 Web 3.0 Innovation Hackathon 银奖
  • 2023 ScalingX Zero-Knowledge Hackathon 优胜奖
  • IEEE CPSCOM 2021 最佳论文奖(亚军)
  • IEEE CPSCOM 2021 最佳学生论文奖
  • IEEE Wireless Communications Letters 优秀审稿人奖
  • 微软亚洲研究院"明日之星"
  • 香港博士奖学金计划
  • 深圳市海外高层次人才(孔雀计划)
  • 北京邮电大学优秀硕士学位论文奖
  • 北京邮电大学优秀毕业生
  • 电子科技大学优秀本科毕业生
  • DARPA Spectrum Collaboration Challenge 决赛队伍成员

学术服务

编辑与会议服务

  • 程序委员会委员,ACM WWW
  • 程序委员会委员,第 9、11、12–14 届大数据分布式存储与区块链技术国际研讨会
  • 程序委员会委员,IEEE CIC ICC 2019
  • 程序委员会委员,IEEE ICCC 2020
  • 专题主席,IEEE WOCC 2022
  • 研讨会联合主席,IEEE TrustCom 2025
  • 副编辑,Scientific Reports
  • 副编辑,IEEE TENCON 2020
  • 审稿编辑,Frontiers in Communications and Networks

期刊与会议审稿

  • AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Journal on Selected Areas in Communications (JSAC)
  • IEEE/ACM Transactions on Networking (TON/TNET)
  • IEEE Transactions on Information Forensics and Security (TIFS)
  • ACM Computing Surveys (ACM CSUR)
  • 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

访客地图