教育经历：

• 2009-2014：美国明尼苏达大学 计算机科学 博士学位（全日制）
• 2007-2009：哈尔滨工业大学 计算机科学与技术 硕士学位（全日制）
• 2003-2007：哈尔滨工业大学 计算机科学与技术 学士学位（全日制）

工作经历：

• 2023-至今：哈尔滨工业大学（深圳） 计算机科学与技术学院 教授、博导
• 2020-2023：美国爱荷华大学Tippie商学院 副教授（终身）
• 2014-2020：美国爱荷华大学Tippie商学院 助理教授

周逊，哈尔滨工业大学（深圳）教授、博导，国家级青年人才（海外）。美国明尼苏达大学博士，曾任美国爱荷华大学终身副教授、Henry B. Tippie特聘教授。研究方向为数据挖掘、机器学习与时空大数据智能，在KDD、NeurIPS、AAAI、TKDE等会议、期刊发表论文120余篇，主持多项国家级及美国NSF项目。诚邀优秀学子及青年学者合作，共同探索数据科学与人工智能前沿。

代表性论文（近5-10年，按影响力排序）：

1. Zhuoning Yuan, Xun Zhou, Tianbao Yang. Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. In Proc. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), pp. 984-992, August 2018, London, UK. ACM. (DOI: 10.1145/3219819.3219922)
2. Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li. Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019, 33(01): 5199-5206. (DOI: 10.1609/aaai.v33i01.33015199)
3. Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang. SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. In Proc. 37th Neural Information Processing Systems, 2023, 36: 9919-9930. (CCF-A类会议)
4. Bang An, Xun Zhou, Zirui Zhou, Ronilo Ragodos, Zenglin Xu and Jun Luo. GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. In AAAI Conference on Artificial Intelligence (AAAI'25), 2025, 39(11): 11427-11435. (DOI: 10.1609/aaai.v39i11.33243)
5. Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo. Forecasting Gathering Events through Trajectory Destination Prediction: a Dynamic Hybrid Model. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019, 33(3): 991-1004. (DOI: 10.1109/TKDE.2019.2937082)
6. Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh and Praveen Ravirathinam. A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity, 2021 IEEE international conference on data mining. IEEE, 2021: 767-776. (DOI: 10.1109/ICDM51629.2021.00088) [Best Paper Award]
7. Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo. Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. Proceedings of the 2019 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2019: 783-791. (DOI 10.1137/1.9781611975673.88) [Best Applied Data Science Paper Award]
8. Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou and Jun Luo. ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020: 1306-1315. (DOI: 10.1145/3394486.3403183)
9. Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou and Jun Luo. xgail: Explainable generative adversarial imitation learning for explainable human decision analysis. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020: 1334-1343. (DOI: 10.1145/3394486.3403186)
10. Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong and Jun Luo. Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks, Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. 2020: 842-852. (DOI: 10.1145/3394486.3403127)

著作/编著：

1. Encyclopedia of GIS, 2nd Editoin. Springer. 2017, 主编

专利成果：

1. 一种针对异质性时空数据的城市基础模型训练方法及装置，ZL202511117196.7，2025年，第一发明人。

科研奖励：

1. IEEE ICDM Best Paper Award. 2021. IEEE ICDM Organizing Committee. 5/7
2. SIAM Data Mining (SDM) Best Applied Data Science Paper Award, 2019. SDM Organizing Committee. 3/7
3. International Symposium on Spatial and Temporal Databases (SSTD) Best Research Paper Award. 2011. 3/4
4. 中国数据库学术会议NDBC萨师煊优秀研究生论文奖，中国计算机学会数据库专委会，2009. 1/3.