Yuanhang Zhou

Yuanhang Zhou

Pursuing M.Eng. at School of Cyberscience and Engineering, Southeast University

Short Bios

I am a post-graduate student at School of Cyberscience and Engineering, Southeast University, advisor: Prof. Fei Tong. I received my B. Eng. from Nanjing University of Posts and Telecommuncation in 2021, advisor: Prof. Jia Xu.

I will be pursuing my Ph.D. degree in Electrical and Computer Engineering, at the University of Waterloo from Sept. 2024.

I’ve included my CV for your reference.

Research Interests

Blockchain: Blockchain Application, Security and Privacy, Applied Cryptography

Crowdsensing: Incentive Mechanism, Optimization

Preprints

  1. Yuanhang Zhou, Shubo Peng, Hanzheng Lyu, et al., “KLOTSKI: Towards Consensus Enabled Collaborative Vehicles in Intelligent Transportation,” submitted to IEEE Transactions on Intelligent Transportation Systems (TITS), Under review.
  2. Fei Tong, Jiahe Liu, Yuanhang Zhou, et al., “BAC-IDS: A Blockchain-Assisted Collaborative Intrusion Detection System for Smart Home IoT,” submitted to IEEE Transactions on Information Forensics & Security (TIFS), Under review.
  3. “Towards Efficient, Robust, and Privacy-preserving Incentives for Crowdsensing via Blockchain,” Under research.

Publications

  1. [TDSC’24] Fei Tong, Yuanhang Zhou, Kaiming Wang, Guang Cheng, Jianyu Niu, Shibo He, “A Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing based on Blockchain,” IEEE Transactions on Dependable and Secure Computing (TDSC). 2024. CCF-A.
  2. [TMC’22] Yuanhang Zhou, Fei Tong, Shibo He, “Bi-objective Incentive Mechanism for Mobile Crowdsensing with Budget/Cost Constraint,” IEEE Transactions on Mobile Computing (TMC). 2022. CCF-A.
  3. [TOIT’22] Jia Xu, Yuanhang Zhou, Gongyu Chen, Yuqing Ding, Dejun Yang, Linfeng Liu, “Topic-aware Incentive Mechanism for Task Diffusion in Mobile Crowdsourcing through Social Network,” ACM Transactions on Internet Technology. 2022. CCF-B.
  4. [IoTJ’21] Jia Xu, Yuanhang Zhou, Yuqing Ding, Dejun Yang, Lijie Xu, “Biobjective Robust Incentive Mechanism Design for Mobile Crowdsensing,” IEEE Internet of Things Journal (IoTJ). 2021.
  5. [TVT’21] Jia Xu, Gongyu Chen, Yuanhang Zhou, Zhengqiang Rao, Dejun Yang, Cuihua Xie, “Incentive Mechanisms for Large-Scale Crowdsourcing Task Diffusion Based on Social Influence,” IEEE Transactions on Vehicular Technology (TVT). 2021.

Patents

  1. 一种基于区块链的群智感知隐私保护激励机制方法, Authorized, First Student Author
  2. 一种双目标群智感知激励机制方法, Authorized, First Student Author
  3. 一种双目标鲁棒移动群智感知系统及其激励方法, Authorized, First Student Author
  4. 一种面向时空移动群智感知任务的异常用户检测方法, Authorized, Third Author
  5. 一种主题敏感众包任务扩散方法及其激励机制, Authorized, Third Author

Honors

  1. National Scholarship, Ministry of Education, 2023.
  2. Pacemaker to Merit Student, Southeast University, 2023.
  3. National Scholarship, Ministry of Education, 2022.
  4. 1st “Huawei Cup” Network Security Innovation Competition, Third Prize, 2022.
  5. Second Class Postgraduate Academic Scholarship, Southeast University, 2022.
  6. First Class Postgraduate Academic Scholarship, Southeast University, 2021.
  7. Excellent Graduation Thesis, Nanjing University of Posts and Telecommunication, 2021.

Employment

Visiting Student in Southern University of Science and Technology (SUSTech), 2023.6 – 2023.10. Department of Computer Science and Engineering, advisor: Jianyu Niu.

Research Experience

  • Off-chain Smart Contracts, 2023.10 – Present.

  • Consensus for Intelligent Transportation, 2023.6 – 2024.1.

  • Incentive Analysis in Blockchain Consensus, 2023.6 – 2023.11.

  • Incentive Design for Crowdsensing via Blockchain, 2021.7 – 2024.1.

  • Crowdsourcing Task Diffusion based on Social Network, 2020.6 – 2021.6.

  • Robust Incentive Mechanism Design for Crowdsensing, 2019.4 – 2020.5.

Professional Activities

  • Academic Report

    the 2nd Distributed Control, Optimization and Security Zhizhen Academic Forum for Postgraduates, Beijing Institute of Technology

  • Reviewer

    IEEE/CIC International Conference on Communications in China (ICCC)

    Peer-to-Peer Networking and Applications (PPNA)

  • Short Visit

    Tohoku University, 2018.8

Technical Abilities

  • Programming Language: C/C++ (mastered), Nodejs & Java (competent), experienced in algorithm design
  • Platform: Linux (mastered), experienced in Windows server/Ubuntu server management
  • Development: experienced in Hyperledger Fabric (Blockchain platform) development, focusing on Chaincode and interface methods
  • Software: Latex (proficient), Matlab & Visio (mastered), etc.
  • Language: TOEFL 102 (R28 L27 S22 W25), experienced in academic writing

Last updated: 2024/05.