个人资料
个人简介工学博士,讲师,计算机科学与技术专业。主要研究方向包括数据安全、查询处理、区块链与信息安全等。在国际高水平期刊及会议ICDE、DASFAA、TOSN、FGCS、KBS等发表十余篇论文;申请(授权)国家专利十余项;主持教育部基础研究培育项目1项,横向课题1项;先后参与科技部国家重点研发、国家自然科学基金、教育部区块链核心技术战略研究等多个项目。参与DASFAA、APWEB等多个CCF国际会议并作报告;作为Array期刊副主编、Knowledge-based Systems、World Wide Web Journal等国际高水平期刊审稿人积极参与各项学术活动。 社会职务研究领域主要研究领域为数据科学、数据安全、查询处理及区块链与信息安全。 开授课程科研项目1. 国家重点研发计划,自主式道路交通系统自组织运行技术,参与 2. 国家自然科学基金委员会, 面上项目, 面向零可信区块链服务全节点的多源数据安全存储与检索技术, 参与 3. 教育部, 教育部区块链核心技术战略研究项目, 5G 环境下“区块链+”低时延和带宽 敏感的物联网场景融合发展研究与应用 , 参与 4. 深城交面向智能网联运营管理的车路云一体化项目,主持 论文[1] Jingxian Cheng, Saiyu Qi, et al. Lightweight Verifiable Blockchain Top-k Queries, Future Generation Computer Systems, 2024. (JCR Q1, 中科院1区, IF = 6.2) [2] Jingxian Cheng, Qin Jiang, et al. BlindChain: Keeping Query Privacy in Blockchain Out of Sight. International Conference on Database Systems for Advanced Applications, 2025. (CCF B) [3] Jingxian Cheng, Saiyu Qi, et al. EPPVChain: An Efficient Privacy-Preserving Verifiable Query Scheme for Blockchain Databases. The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 2023. [4] Jingxian Cheng, Saiyu Qi, et al. Fast consistency auditing for massive industrial data in untrusted cloud services, Proceedings of the 2020 on Great Lakes Symposium on VLSI. 2020: 381-386. [5] Ningning Cui, Dong Wang, Huaijie Zhu, Mo Li, Jingxian Cheng, Jianxin Li, Xiaochun Yang. Consistency-Aware Scalable and Authenticated Learned Index for Range Query, The 41st IEEE International Conference on Data Engineering, 2025. (CCF A) [6] Taige Zhao, Jianxin Li, Man Li, Wei Luo, Jingxian Cheng, Yuan Miao, Hua Wang. Effective Fairest Community Search over Heterogeneous Information Networks, The 42st IEEE International Conference on Data Engineering, 2026.(CCF A) [7] Saiyu Qi, Wei Wei, Jingxian Cheng, et al. Secure and Efficient Item Traceability for Cloud-Aided IIoT, ACM Transactions on Sensor Networks, 2022, 18: 1-24. (CCF B) [8] Jianing Xia, Amanda Li, Jingxian Cheng*, Comparative Analysis Vision of Worldwide AI Courses, The 9th APWeb-WAIM joint International Conference on Web and Big Data, 2025. [9] Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket DeRoy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu. AI-Generated Content in Multi-Domain Applications: Research Trends, Challenges and Propositions. Knowledge Based Systems.(中科院一区) [10] Di Wu, Saiyu Qi, Yong Qi, Qian Li, Bowen Cai, Qi Guo, Jingxian Cheng, Understanding and Defending Against White-box Membership Inference Attack in Deep Learning, Knowledge Based Systems, 2023, 259: 110014.(中科院一区) 科技成果荣誉奖励工作经历 |
