个人简介：

蒋子规，副教授，博士生导师，中国计算机学会（CCF）高级会员，CCF 服务计算专委会、区块链专委会执行委员。2015-2019就读于北京邮电大学网络与交换技术全国重点实验室，获得博士学位，并获北京邮电大学优秀博士学位论文、北京市优秀毕业生等荣誉。2019年入职中山大学计算机学院从事博士后研究工作，2020年调入中山大学软件工程学院。研究方向包括区块链智能合约、Web3、大数据分析、推荐算法以及AI算法的领域应用等。承担包括国家自然科学基金、博士后站前特别资助、广东省自然科学基金、山东省自然科学基金智慧计算联合基金以及企业横向等项目。近年来在国内外权威学术期刊与会议上发表论文三十余篇，并担任IEEE Services、CollaborateCom、CCF ICSS、BlockSys等国际会议的组织与审稿工作，以及IEEE TSC、IEEE TCC、IEEE Network、ACM TSAS等多个国际期刊的审稿人。

 

研究方向：

聚焦于将区块链与数据分析、人工智能算法结合开展去中心化金融领域的用户行为分析及安全监管研究与应用，具体包括：智能合约漏洞检测与代码安全推荐、基于多模态数据分析与AI算法结合的Web3反欺诈、多领域软件系统中的数据挖掘分析等。

 

研究与招生：

每年招收2-3名来自全国高校的优秀 (夏令营/保研/统考) 硕士生，与1-2名博士研究生，以及不限数量的本科实习生。

欢迎有意攻读中山大学研究生的同学与我联系！同时欢迎本校学有余力、动手能力强并对科研有浓厚兴趣的本科生加入团队参与科研工作。

详情可联系组内招聘助理——

钟同学（校内）：zhongmt@mail2.sysu.edu.cn

肖同学（校外）：xiaoh98@mail2.sysu.edu.cn

 

主要科研项目：

2025-2028 国家自然科学基金面上项目，主持

2021-2023 国家自然科学基金青年项目，主持

2023-2025 广东省自然科学基金面上项目，主持

2019-2021 中国博士后科学基金特别资助（站前），主持

2021-2023 山东省自然科学基金智慧计算联合基金，（参与单位）负责人

2021-2023 招联金融合作项目，主持

2022-2023 远光软件合作项目，主持

2021-2023 钟爱健康合作项目，主持

 

代表性论著：

【区块链方向】

  • Ziwei Li, Zigui Jiang*, Ming Fang, Jiaxin Chen, Zhiying Wu, Jiajing Wu, Lun Zhang, Zibin Zheng, “SolPhishHunter: Towards Detecting and Understanding Phishing on Solana”, IEEE Transactions on Information Forensics and Security, 2026,21:757-771. (SCI, CCF A类期刊, 中科院一区Top)
  • Ziwei Li, Jiajing Wu*, Zhiying Wu, Dongcheng Tan, Weipeng Zou, Zigui Jiang, Yi Zhen, Zheng Zhang, Zibin Zheng. CCIHunter: Enhancing Smart Contract Code-Comment Inconsistencies Detection via Two-Stage Pre-training. ACM Transactions on Software Engineering and Methodology (TOSEM), 2025. DOI:10.1145/3764867. (CCF A类期刊，中科院一区)
  • 刘荣龙, 李梓炜, 万悦, 吴嘉婧, 蒋子规*. 面向Web3钓鱼网站的域名检测与网页分析方法. 计算机工程, 2026, 52(1): 76-85. (CCF 中文 T2 类期刊) - 获得 CCF 2025 中国数字服务大会最佳学生论文奖
  • 林丹，卢顺峰，刘姿妍，张博昭，何龙，蒋子规，吴嘉婧*，郑子彬，大语言模型赋能区块链服务安全研究综述：现状、挑战与机遇. 计算机工程, 2026, 52(1): 1-21. (CCF 中文 T2 类期刊)
  • Zigui Jiang, Weilin Zheng, Bo Liu, Hong-Ning Dai*, Haoran Xie, Xiapu Luo, Zibin Zheng, and Qing Li, “Unravelling Token Ecosystem of EOSIO Blockchain”, IEEE Transactions on Knowledge and Data Engineering, 2024, 36(10):5423-5439. (SCI, CCF A类期刊，中科院一区TOP)
  • Zigui Jiang, Zibin Zheng*, Kai Chen, Xiapu Luo, Xiuwen Tang, and Yin Li. “Exploring Smart Contract Recommendation: Towards Efficient Blockchain Development”. IEEE Transactions on Services Computing, 2023, 16(3):1822-1832. (SCI， CCF-A类期刊，中科院二区)
  • Queping Kong, Jiachi Chen, Yanlin Wang, Zigui Jiang*, and Zibin Zheng, “DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols”, In the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023: 1144-1156. (CCF A类会议)
  • Mingyuan Huang, Jiachi Chen, Zigui Jiang, and Zibin Zheng*, “Revealing Hidden Threats: An Empirical Study of Library Misuse in Smart Contracts”, In the 46th International Conference on Software Engineering (ICSE), 2024: 280-291. (CCF A类会议)
  • Changlin Yang, Xiaodong Wang, Zigui Jiang*, Ying Liu, Fengnian Lin, and Zibin Zheng. “On Min-Max Storage for Resource Restricted Clients in Coded Blockchain Systems”, IEEE Internet of Things Journal, 2023,10(20): 17988-17999. (SCI，中科院二区Top)
  • Zigui Jiang, Xiuwen Tang, Zibin Zheng*, Jinyan Guo, Xiapu Luo, and Yin Li, “Calling Relationship Investigation and Application on Ethereum Blockchain Platform”. Empirical Software Engineering, 2023, 28(2): 31. (SCI， CCF-B类期刊，中科院二区)
  • Huawei Huang, Yang Yang, Zigui Jiang*, and Zibin Zheng, “Worker-Centric Model Allocation for Federated Learning in Mobile Edge Computing”, IEEE Transactions on Green Communications and Networking, 2023, 7(2):869-880. (SCI， JCR Q1，中科院二区)
  • Peilin Zheng, Bowei Su, Zigui Jiang*, Changlin Yang, Jiachi Chen, and Jiajing Wu. “Exploring Heterogeneous Decentralized Markets in DeFi and NFT on Ethereum Blockchain”, In the 10th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), 2023: 259-267. (EI国际会议，最佳论文奖)
  • Peilin Zheng, Zigui Jiang*, Jiajing Wu, and Zibin Zheng, “Blockchain-based Decentralized Application: A Survey”, IEEE Open Journal of the Computer Society, 2023, 4:121-133. (SCI，中科院三区)
  • Zigui Jiang, Kai Chen, Hailin Wen, and Zibin Zheng*, “Applying Blockchain-based Method to Smart Contract Classification for CPS Applications”, Digital Communications and Networks, 2022, 8(6): 964-975. (SCI，中科院二区）
  • Xiuwen Tang, Jiazhen Gan, Zigui Jiang*, “A Graph Neural Network-based Code Recommendation Method for Smart Contract Development”, In the 15th International Conference on Service Science, 2022: 248-254. (EI国际会议)
  • Zhirong Zhu, Jianzhong Su, Zigui Jiang, Mingxi Ye, Zibin Zheng*, “Making Smart Contract Classification Easier and More Effective”. In the 18th IEEE International Conference on Green Computing and Communications (GreenCom), 2022:228-335. (EI 国际会议)
  • Jinyan Guo, Zigui Jiang, LiLi*, and Jing Bian, “Mathematical Modeling of Transaction Latency on Ethereum”, In 2021 IEEE International Conference on Joint Cloud Computing (JCC), 2021:34-37. (EI 国际会议)
  • Xiangping Chen, Queping Kong, Hao-Nan Zhu, Yixin Zhang, Yuan Huang*, and Zigui Jiang*, “Deciphering Cryptocurrencies by Reverse Analyzing on Smart Contracts”, In International Conference on Blockchain and Trustworthy Systems (BlockSys), 2020: 532-546. (EI 国际会议，最佳论文奖)

 

【电力数据分析方向】

  • Zigui Jiang, Qihao Yuan, Rongheng Lin*, and Fangchun Yang, “Canonical Correlation Analysis and Visualization for Big Data in Smart Grid”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023.13(3): 702 - 711. (SCI, 中科院二区)
  • Zigui Jiang, Rongheng Lin*, and Fangchun Yang, “An Incremental Clustering Algorithm with Pattern Drift Detection for IoT-Enabled Smart Grid System”, Sensors, 2021, 21(19):6466. （SCI，中科院三区）
  • Zigui Jiang, Rongheng Lin*, Fangchun Yang, and Budan Wu, “A Fused Load Curve Clustering Algorithm based on Wavelet Transform”, IEEE Transactions on Industrial Informatics, 2018, 14(5):1856 -1865. (SCI, 中科院1区Top)
  • Zigui Jiang, Rongheng Lin*, and Fangchun Yang, “A Hybrid Machine Learning Model for Electricity Consumer Categorization using Smart Meter Data”, Energies, 2018, 11(9):2235. (SCI, 中科院四区)
  • Zigui Jiang, Rongheng Lin*, and Fangchun Yang, “Mining Daily Canonical Correlations among Multivariable Electricity, Gas and Climate data”, In the 2018 International Joint Conference on Neural Networks (IJCNN), 2018: 1-8. (EI国际会议, CCF C)