Jiangang Shu

Jiangang Shu

Guangzhou University

I am currently a Professor & PhD Supervisor in Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China. I obtained Ph.D. degree in Computer Science from City University of Hong Kong in Feb., 2019, supervised by Prof. Xiaohua Jia , M.Eng. degree in Computer Science and Technology under Prof. Zhangjie Fu, and B.Eng. degree in Network Technology and Engineering from Nanjing University of Information Science & Technology in 2015 and 2012, respectively. I have served as a Research Assistant at Singapore Management University under Prof. Robert H. Deng, a Postdoctoral Fellow & Associate Researcher at City University of Hong Kong, and an assitant Researcher & Associate Researcher at Peng Cheng Laboratory. My research interest includes data & AI security and privacy, applied cryptography, cloud computing & crowdsourcing security, network security. I have published more than 40 papers in international journals and conferences such as IEEE TDSC, TIFS, TPDS, TSC, TITS, IOTJ, and TCC, with one paper awarded the Best Paper Award at IEEE MSN 2021.

E-mail: jiangangshu@gmail.com

招生： 以高标准、严要求指导每一位学生进行高质量科研工作，发表顶尖学术论文为主，并将学术科研进行落地及应用。

  • 2025年，将招收1名学术博士研究生（网申时间为：2024.12月-2025.2月）和4名硕士研究生，请有意向的学生尽快联系我，并将个人CV发我邮箱。要求：学习态度端正，计算机理论和代码能力扎实，对科研要有热情，硕士研究生若有读博意向的优先。
  • 每年招收少量的优秀本科生（主要面向大一至大三），课题组已成立了一只本科生科研团队，每周定期召开研讨会，指导学生进行科研。成果优异的同学，会积极向国内外高校进行推荐。要求：学习积极、态度端正、深造意愿强烈、能长时间坚持（请认真评估自己）。

当前研究方向：

  • 数据安全与隐私计算：数据安全分析（隐私计算）、数据安全交易等
  • 人工智能安全：联邦学习攻防、模型版权保护、可证明联邦学习、联邦遗忘学习等
  • 面向新领域、新技术的攻防检测：新型网络、区块链、机密计算等
  • 数据基础制度建设：数据产权、流通交易、收益分配、安全治理等
  • 其他网络通信与数据安全方向

📝 Publications

Journals

  • Minghui Min, Haopeng Zhu, Shuang Yang, Junhuai Xu, Jingwen Tong, Shiyin Li, and Jiangang Shu*. Geo-perturbation for task allocation in 3D mobile crowdsourcing: An A3C-based approach. IEEE Internet of Things Journal, 11(2): 1854-1865, 2024.

  • Zhichao Lian, Jiangang Shu*, Yi Zhang, and Jin Sun. Convergent grey wolf optimizer metaheuristics for scheduling crowdsourcing applications in mobile edge computing. IEEE Internet of Things Journal, 11(2): 1866-1879, 2024.

  • Hongliang Zhou, Yifeng Zheng, Hejiao Huang, Jiangang Shu, and Xiaohua Jia. Toward Robust Hierarchical Federated Learning in Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems, 24(5): 5600-5614, 2023.

  • Jiangang Shu, Tingting Yang, Xinying Liao, Farong Chen, Yao Xiao, Kan Yang, and Xiaohua Jia. Clustered Federated Multi-Task Learning on Non-IID Data with Enhanced Privacy. IEEE Internet of Things Journal, 10(4): 3453-3467, 2023.

  • Kan Yang*, Jiangang Shu*, and Ruitao Xie. Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-based Systems. IEEE Transactions on Information Forensics and Security, 18: 71-84, 2022.

  • Jiangang Shu, Weizhe Zhang, Ying Zhou, Zhengtao Cheng, and Laurence T. Yang. FLAS: Computation and Communication Efficient Federated Learning via Adaptive Sampling. IEEE Transactions on Network Science and Engineering, 9(4): 2003-2014, 2022.

  • Jiangang Shu, Xing Zou, Xiaohua Jia, Weizhe Zhang, and Ruitao Xie. Blockchain-Based Decentralized Public Auditing for Cloud Storage. IEEE Transactions on Cloud Computing, 10(4): 2366-2380, 2022.

  • Jiangang Shu, Songlei Wang, Xiaohua Jia, Weizhe Zhang, Ruitao Xie, and Hejiao Huang. Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. IEEE Transactions on Intelligent Transportation Systems, 22(7):4519 – 4530, 2022.

  • Haining Yu, Xiaohua Jia, Hongli Zhang, Jiangang Shu. Efficient and Privacy-Preserving Ride Matching Using Exact Road Distance in Online Ride Hailing Services. IEEE Transactions on Services Computing, 15(4): 1841-1854, 2022.

  • Jiangang Shu, Lei Zhou, Weizhe Zhang, Xiaojiang Du, Mohsen Guizani. Collaborative Intrusion Detection for VANETs: A Deep Learning Based Distributed SDN Approach. IEEE Transactions on Intelligent Transportation Systems, 22(7):4519-4530, 2021.

  • Jiangang Shu, Kan Yang, Xiaohua Jia, Ximeng Liu, Cong Wang, and Robert H Deng. Proxy-Free Privacy-Preserving Task Matching with Efficient Revocation in Crowdsourcing. IEEE Transactions on Dependable and Secure Computing, 18(1): 117-130, 2021.

  • Jiangang Shu, Xiaohua Jia, Kan Yang, and Hua Wang. Privacy-Preserving Task Recommendation Services for Crowdsourcing. IEEE Transactions on Services Computing, 14(1): 235-247, 2021.

  • Haining Yu, Xiaohua Jia, Hongli Zhang, Xiangzhan Yu, Jiangang Shu. PSRide: Privacy-Preserving Shared Ride Matching for Online Ride Hailing Systems. IEEE Transactions on Dependable and Secure Computing, 18(3): 1425-1440, 2021.

  • Jiangang Shu, Ximeng Liu, Kan Yang, Yinghui Zhang, Xiaohua Jia, and Robert H Deng. SybSub: Privacy-Preserving Expressive Task Subscription with Sybil Detection in Crowdsourcing. IEEE Internet of Things Journal, 6(2): 3003-3013, 2019.

  • Haining Yu, Jiangang Shu, Xiaohua Jia, Hongli Zhang, Xiangzhan Yu.lpRide: Lightweight and Privacy- Preserving Ride Matching over Road Networks in Online Ride Hailing Systems. IEEE Transactions on Vehicular Technology, 68(11): 10418-10428, 2019.

  • Yinghui Zhang*, Jiangang Shu*, Ximeng Liu, Jin Li, and Dong Zheng*. Comments on “A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing”. IEEE Internet of Things Journal, 6(1): 1287-1290, 2019.

  • Jiangang Shu, Ximeng Liu, Xiaohua Jia, Kan Yang, and Robert H Deng. Anonymous Privacy-Preserving Task Matching in Crowdsourcing. IEEE Internet of Things Journal, 5(4): 3068-3078, 2018.

  • Jiangang Shu, Ximeng Liu, Yinghui Zhang, Xiaohua Jia, and Robert H Deng. Dual-side Privacy-Preserving Task Matching for Spatial Crowdsourcing. Journal of Network and Computer Applications, 123: 101-111, 2018.

Conferences

  • Guoxi Zhang, Jiangang Shu* and Xiaohua Jia. Optimized Client-Side Detection of Model Poisoning Attacks in Federated Learning. IEEE HPCC 2022.
  • Jijia Yang, Jiangang Shu*, Xiaohua Jia. Breaking Distributed Backdoor Defenses for Federated Learning in Non-IID Settings. IEEE MSN 2022.
  • Xinying Liao, Jiaye Xue, Shengxing Yu, Ximeng Liu, and Jiangang Shu. SecMPNN: 3-Party - Privacy-Preserving Molecular Structure Properties Inference. ICASSP 2022.
  • Yao Xiao, Jiangang Shu*, Xioahua Jia, Hejiao Huang. Clustered Federated Multi-Task Learning with Non-IID Data. IEEE ICPADS 2021.
  • Rutao Yu, Jiangang Shu*, Dekai Yan, Xiaohua Jia. ReDetect: Reentrancy Vulnerability Detection in Smart Contracts with High Accuracy. IEEE MSN 2021. Best Paper Award
  • Lu Shi, Jiangang Shu, Weizhe Zhang, Yang Liu. HFL-DP: Hierarchical Federated Learning with Differential Privacy. IEEE GLOBECOM 2021.
  • Hongliang Zhou, Xiaohua Jia, Jiangang Shu, Lei Zhou. CoWatch: Collaborative Prediction of DDoS Attacks in Edge Computing with Distributed SDN. IEEE GLOBECOM 2021. -Dekai Yan, Xiaohua Jia, Jiangang Shu, Rutao Yu. A Blockchain-based Database System for Decentralized Information Management. IEEE GLOBECOM 2021.
  • Ying Zhou, Jiangang Shu*, Xiaoxiong Zhong, Xinseng Huang, Chenguang Luo, and Jianwen Ai. Oversampling Algorithm based on Reinforcement Learning in Imbalanced Problems. IEEE GLOBECOM 2020.
  • Jiangang Shu, Ximeng Liu, Kan Yang, Yinghui Zhang, Xiaohua Jia, and Robert H Deng. SybMatch: Sybil Detection for Privacy-Preserving Task Matching in Crowdsourcing. IEEE GLOBECOM 2018.

🎖 Honors and Awards

  • 2024 百人计划青年杰出人才，广州大学
  • 2022 广东省重大人才工程—青年人才, 广东省
  • 2021 Best Paper Award, MSN 2021, Exeter, United Kingdom
  • 2020 年度先进个人, 鹏城实验室
  • 2019 海外高层次C类人才, 深圳市
  • 2018 Excellent Research Award, The 14th International Conference of ADMA, Nanjing
  • 2017 Outstanding Poster Award, Department of CS, City University of Hong Kong, Hong Kong

📖 Students

Postgraduate Students

  • Zhiping Hu, GZU 2024, Privacy-preserving computing
  • Bangquan Wang, GZU 2024, FL attacks
  • Xiangjie Long, GZU 2024, Zero-knowledge proof of FL, copyright protection
  • Xinglin Fu, GZU 2024, FL unlearning
  • Kaiqi Wang, GZU 2023, FL defenses (together with Prof. Qingfen Tan)

Gruduates

  • Jijia Yang, HITSZ 2022, FL attacks (together with Prof. Xioahua Jia). Phd student at CtyU of HK
  • Guoxi Zhang, HITSZ 2022, FL attacks (together with Prof. Xioahua Jia)
  • Yao Xiao, HITSZ 2021, Personalized FL (together with Prof. Xioahua Jia)
  • Lei Zhou, HITSZ 2021, Edge computing (together with Prof. Xioahua Jia)
  • Zhenqian Zhu, HITSZ 2021, FL attacks (together with Prof. Xioahua Jia)
  • Rutao Yu, HITSZ 2021, Blockchain security (together with Prof. Xioahua Jia)
  • Dekai Yan, HITSZ 2021, Blockchain information management (together with Prof. Xioahua Jia)
  • Songlei Wang, HITSZ 2020, Edged-based crowdsourcing privacy (together with Prof. Xioahua Jia). Phd student at HITSZ
  • Xing Zou, HITSZ 2020, Blockchain-based data auditing (together with Prof. Xioahua Jia). Engernieer at Peng Cheng Lab