曹晓凯

2025年11月04日 19:09

63DD

曹晓凯，东莞理工学院青年教师，于中山大学获得计算机科学与技术专业博士学位。研究方向为隐私保护机器学习、安全多方计算。参与国家重点研发计划项目和粤莞联合重点项目。以第一作者身份在TCYB等期刊上发表多篇论文，求学期间曾获得数学建模竞赛国家一等奖，华为杯二等奖，数学竞赛一等奖，密码学竞赛一等奖，深圳杯入围奖等多项国家级奖励，拥有丰富的学科竞赛和项目研发经验。

欢迎爱好计算机技术、人工智能或有志向从事大模型、隐私保护相关研究的同学加入我的团队，我将手把手指导从0到发表SCI论文、带队参加学科竞赛斩获大奖。

邮箱：caoxk@mail2.sysu.edu.cn

研究方向：隐私保护机器学习，安全多方计算

已发布论文：

[1] Cao X, Wang C, Lai J, et al. Multi-party Secure Broad Learning System for Privacy Preserving[J]. IEEE Transactions on Cybernetics, 2023, 53(10): 6636-6648. (中科院一区，影响因子11.8)

[2] Cao X, Wang C, Lai J, et al. Dynamic Secure Multi Broad Network for privacy Preserving of Streaming Data [J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(4): 3152-3165. (JCR一区，影响因子5.7)

[3] Cao X, Wang C, Lai J, et al. Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation[J]. IEEE Transactions on Image Processing, Under review.

[4] Cao X, Wang C, He Z, Mo W, et al. SIPR: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols[J]. Knowledge-Based Systems, under review.

[5] Cao X, Wang J R. Finite-time stability of a class of oscillating systems with two delays[J]. Mathematical Methods in the Applied Sciences, 2018, 41(13): 4943-4954. (JCR一区)

[6] Cao X, Fečkan M, Shen D, et al. Iterative learning control for multi-agent systems with impulsive consensus tracking[J]. Nonlinear Analysis: Modelling and Control, 2021, 26(1): 130-150. (JCR一区)

[7] Cao X, Fečkan M, Shen D, et al. Iterative learning control for impulsive multi-agent systems with varying trial lengths[J]. Nonlinear Analysis: Modelling and Control, 2022, 27(3): 445-465. (JCR一区)

[8] 曹晓凯,王昌栋,赖剑煌,模型训练优化方法、电子设备及计算机可读存储介质[P],中国专利：202311732811.6,实质审查阶段.

参与项目：

1、2021年国家重点研发计划项目“生物数据深度挖掘与知识融合的智能系统研发与示范应用”，课题2 “研究生物医学知识安全共享技术体系”中担任主要研究骨干。