2012.09 – 2016.06 南开大学， 智能科学与技术，学士

2016.09 -2019.06 南开大学 控制科学与工程，硕士

2019.09 – 2022.09 东京大学 社会文化与环境，博士

[1] Zhang Z, Wang H, Fan Z, et al. Tiered spatio-temporal difficulty: Curriculum scheduler for multi-sensor traffic flow prediction[J]. IEEE Transactions on Mobile Computing, 2025.

[2] Zhang Z, Yuan W, Fan Z, et al. Aisfuser: Encoding maritime graphical representations with temporal attribute modeling for vessel trajectory prediction[J]. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(4): 1571-1584.

[3] Zhang Z, Fan Z, Lv Z, et al. Long-term vessel trajectory imputation with physics-guided diffusion probabilistic model[C]//Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024: 4398-4407.

[4] Zhang Z, Wang H, Fan Z, et al. Assessing the spatial-temporal causal impact of COVID-19-related policies on epidemic spread[J]. ACM Transactions on Knowledge Discovery from Data, 2024, 19(1): 1-19.

[5] Zhang Z, Wang H, Fan Z, et al. Missing road condition imputation using a multi-view heterogeneous graph network from GPS trajectory[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(5): 4917-4931.

[6] Yang C#, Zhang Z#, Fan Z#, et al. EpiMob: Interactive visual analytics of citywide human mobility restrictions for epidemic control[J]. IEEE Transactions on Visualization and Computer Graphics, 2022, 29(8): 3586-3601.

[7] Zhang Z#, Wang H#, Fan Z, et al. Route to time and time to route: Travel time estimation from sparse trajectories[C]//Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022: 489-504.

[8] Zhang Z#, Wang H#, Fan Z, et al. GOF-TTE: Generative online federated learning framework for travel time estimation[J]. IEEE Internet of Things Journal, 2022, 9(23): 24107-24121.

[9] Zhang Z#, Duan F#, Caiafa C F, et al. Domain classifier-based transfer learning for visual attention prediction[J]. World Wide Web, 2022, 25(4): 1685-1701.

[10] Wang H#, Zhang Z#, Fan Z, et al. Multi-task weakly supervised learning for origin–destination travel time estimation[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(11): 11628-11641.

[11] Zhang Z, Wang H, Fan Z, et al. Assessing the continuous causal responses of typhoon-related weather on human mobility: An empirical study in Japan[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023: 3524-3533.

[12] Zhang Z, Fan Z, Yuan W, et al. PortVIS: An interactive platform for port-to-port trajectory imputation and visual analytics[C]//Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025: 812-815.

[13] Zhang Z, Wang H, Fan Z, et al. Emergency Management in Japan: Human decision-making strategy analysis during large-scale earthquake[J]. Transactions in GIS, 2025, 29(1): e13263.

[14] Li B, Zhang Z#, Duan F, et al. Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals[J]. Neurocomputing, 2021, 465: 325-335.

    本课题组主要围绕智慧城市、数字海洋、医疗AI等前沿方向开展研究，招收硕士及博士研究生，欢迎计算机、人工智能、生物医学等相关专业背景同学报考。

希望申请者具备一定的数学基础与编程能力，对机器学习、深度学习有基本认知。课题组与国内外多所高校及科研机构建立合作关系，支持学生参与海外学术交流，成果优异者可推荐继续深造。