Associate Professor · Shenzhen University

Taotao Wang

Chinese name

Open Networks and Systems for Trustworthy Intelligence

My research sits at the intersection of networking, artificial intelligence, and cryptographic security. Intelligent services, from AI agents to collaborative learning, increasingly run on open networks and systems, where participants cannot simply trust one another. This leads to three lines of research: how intelligent computation can be made trustworthy and verifiable with tools such as zero-knowledge proofs, how AI agents can coordinate over networks, and how decentralized systems such as blockchains can operate efficiently and at scale without centralized trust.

Associate Professor, Shenzhen University | Stanford-Elsevier Top 2% Scientist (2025) | Ph.D. in Information Engineering, CUHK

Email: ttwang[nospam]@szu.edu.cn · Alt: postman511[nospam]@gmail.com

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Portrait of Taotao Wang
Shenzhen University CUHK BUPT UESTC

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 build working systems rather than study isolated algorithms. My research began in wireless networking: during my Ph.D. at CUHK, I worked on physical-layer network coding and later on learning-based multiple access. It then extended to blockchain and decentralized networks, and now focuses on where open networks meet AI: how intelligent participants coordinate, and how their computation can be verified.

Research Focus

Trustworthy and verifiable AI computation

Trustworthy and Verifiable AI Computation

This direction studies how AI models and agents can be made trustworthy and verifiable, from model training, fine-tuning, and inference to the decisions and actions agents take. Topics include zero-knowledge proofs, privacy-preserving computation, verifiable machine learning, and verifiable agent execution, with particular attention to the trade-off between rigorous guarantees and system performance.

Agentic networks and multi-agent coordination

Agentic Networks and Multi-Agent Coordination

This direction studies how agents discover one another, share capabilities, and make decisions together over networks. Topics include agentic P2P networks, coordination mechanisms for LLM multi-agent systems, and agent-driven network optimization, with particular attention to the trade-off between collaboration gains and communication overhead.

Blockchain and decentralized systems

Blockchain and Decentralized Systems

This direction studies how blockchain and decentralized systems can operate efficiently and at scale without centralized trust. Topics include blockchain network protocols, decentralized identity, and Web 3.0 application systems, with particular attention to the trade-off between decentralization and system performance.

Open Positions

Who I am looking for

  • Ph.D. students interested in any of my three directions: trustworthy and verifiable AI computation, agentic networks and multi-agent coordination, or blockchain and decentralized systems.
  • M.S. students who want project-based research training with strong implementation components.
  • Postdoctoral researchers with a strong record in zero-knowledge proofs and verifiable machine learning, LLM multi-agent systems, or blockchain and decentralized systems.
  • 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 all three directions, including zero-knowledge verifiable AI, LLM multi-agent systems, and blockchain/Web 3.0 systems.
  • If you are interested, please email your CV, transcript, and a short note on your research interests.

Recent Updates

Selected Publications

* Corresponding author. # Equally contributing authors.

  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.

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
  • Program Committee, 9th, 11th, and 12th–14th International Workshops on Distributed Storage and Blockchain Technologies for Big Data
  • 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 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

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