女,博士,讲师,硕士生导师,于2024年4月入职厦门理工学院计算机与信息工程学院,福建省医疗数据挖掘与应用工程技术研究中心成员。
研究兴趣:图神经网络、图解释学习、生物信息计算、复杂网络动力学
电子邮箱:zhongqicai@xmut.edu.cn
教育经历
2015.09 - 2019.07,厦门大学,自动化专业,工学学士
2019.09 - 2024.01,英国南安普顿大学,计算机科学专业,哲学博士
工作经历
2024.04-至今 厦门理工学院,计算机与信息工程学院,讲师
主要论文
[1] Auricchio G, Lin M, Zhou L, Guo Z*, Cai Z*. Scalable Knothe--Rosenblatt-like Heuristic Transportation Plans for Imaging Problems[C]//The 25th International Conference on Autonomous Agents and Multi-Agent Systems, 2026.
[2] Cai Z*, Gerding E, Brede M. Competitive influence maximization in voter dynamics: The role of timing and network heterogeneity[J]. Communications in Nonlinear Science and Numerical Simulation, 2025, 144: 1-24.
[3] Zheng L, Dai B, Yang F, Xia J, Lin K*, Cai Z*. MFHNN-DDI: Molecular fragment-based hypergraph neural networks for drug–drug interaction prediction[J]. Neurocomputing, 2025, 661:1-18.
[4] Guo Z, Yu H, Norman T, Gerding E, Auricchio G, Cai Z*. A Cautious Multi-Advisor Sequential Decision-Making Strategy without Ground Truth for Maximizing the Profits[J]. Expert Systems with Applications, 2025, 286: 1-26.
[5] Cai Z*, Gerding E, Brede M. Enhanced network inference from sparse incomplete time series through automatically adapted $$ L_1 $$ regularization[J]. Applied Network Science, 2024, 9(1): 1-22.
[6] Cai Z*, Gerding E, Brede M. Accelerating convergence of inference in the inverse Ising problem[J]. Physica A: Statistical Mechanics and its Applications, 2023, 632: 129348.
[7] Cai Z*, Gerding E, Brede M. Control meets inference: Using network control to uncover the behaviour of opponents[J]. Entropy, 2022, 24(5): 640.
[8] Cai Z*, Gerding E, Brede M. Accelerating opponent strategy inference for voting dynamics on complex networks[C]//Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 10. Springer International Publishing, 2022: 844-856.
[9] Cai Z*, Brede M, Gerding E. Influence maximization for dynamic allocation in voter dynamics[C]//Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Springer International Publishing, 2021: 382-394.
近年来承担的主要科研项目:
1. 厦门理工高层次人才项目, 基于异质平均场和异构图神经网络的多重影响力传播优化研究/YKJ24021R,研究经费:15万元,项目负责人。
2. 厦门市自然科学基金,面向癌症基因模块因果解析的多组学解耦可解释学习方法研究/3502Z202571066,研究经费:5万元,项目负责人。