个人简介：
范子沛，2012年本科毕业于北京航空航天大学，2014年和2017年在东京大学分别获得硕士博士学位，师从东京大学柴崎亮介教授。2017-2023年在日本东京大学先后任职博士后研究员，特任助理教授，特任讲师。在日本研究期间从事自然灾害大型活动等异常情况下城市尺度的居民的移动轨迹建模和车辆的移动轨迹等相关研究。2024年回国工作，目前是吉林大学人工智能学院教授。他的主要研究方向为人工智能相关领域，包括普适计算与移动群体感知，时空数据挖掘和可信人工智能等。在国内外顶级期刊及学术会议，如UbiComp，IJCAI，AAAI，TKDE，IOTJ，CIKM，ICRA等发表论文 50 余篇，根据Google Scholar统计，论文被引用1000余次（h-index16）。主持和参与了多项国家级科研项目，并主持国家高层次青年人才计划项目。曾获ACM UbiComp 2015最佳论文提名奖，中国发明创新奖，日本卓越研究员。
工作经历：
2024.03 – 至今 吉林大学人工智能学院 教授
2020.11 – 2023.03 东京大学 特任讲师
2019.04 – 2020.10 东京大学 特任助理教授
2017.10 – 2019.03 东京大学 特任研究员
教育经历：
2014.10 – 2017.09 东京大学 博士
2012.10 – 2014.09 东京大学 硕士
2008.09 – 2012.06 北京航空航天大学 本科
科研项目：
国家高层次青年人才计划项目，主持
日本学术振兴会, 基盤研究B, 22H03573, Heterogeneous Graph Neural Network based Federated Mobile Crowdsensing，主持
日本学术振兴会, 若手研究, 20K19782, An Online Adaptive Boosting Ensemble Approach to Human Mobility Prediction at a Metropolitan Scale，主持
日本科学技术振兴机构, 日美共同研究, JPMJSC2104, Multimodal Data Analytics and Integration for Effective COVID-19, Pandemics and Compound Disaster Response and Management，参与
日本科学技术振兴机构, 持続可能開発目標達成支援事業 （Bタイプ）, JPMJAS2019, 機械学習を用いた匿名化された携帯電話データと衛星画像解析による災害弱者抽出モデルの構築，参与
论文选：
Hetian Guo, Yingzhi Peng, Zipei Fan∗, He Zhu, Xuan Song, ”HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios”, International Conference on Robotics and Automation (ICRA 2024)
Zhiwen, Z., Wang, H., Fan, Z.*, Shibasaki, R., & Song, X. (2023, October). Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 3524-3533).
Zhang, J., Fan, Z.*, Song, X.*, & Shibasaki, R. (2023). A geometry-driven neural topic model for trip purpose inference. GeoInformatica, 1-21.
Zhang, M., Fan, Z.*, Shibasaki, R., & Song, X. (2023). Domain adversarial graph convolutional network based on rssi and crowdsensing for indoor localization. IEEE Internet of Things Journal.
Hongjun Wang, Zhiwen Zhang, Zipei Fan*, Jiyuan Chen, Lingyu Zhang, Xuan Song*, Ryosuke Shibasaki, ”Multi-task Weakly Supervised Learning for Origin–Destination Travel Time Estimation”, IEEE Transactions on Knowledge and Data Engineering. (2023)
Hongjun Wang†, Jiyuan Chen†, Tong Pan, Zipei Fan*, Boyuan Zhang, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Xuan Song*, ”Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout”, to appear in Proc. of Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2023
Kaiyue Zhang, Zipei Fan*, Xuan Song*, Shui Yu. ”Enhancing Trajectory Recovery from Gradients via Mobility Prior Knowledge”. IEEE Internet of Things Journal 2022
Hongjun Wang†, Jiyuan Chen†, Zipei Fan*, Zhiwen Zhang, Zekun Cai, and Xuan Song*. ”ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.” IEEE Transactions on Knowledge and Data Engineering. (2022)
Yongkang Li, Zipei Fan*, Du Yin, Renhe Jiang, Jinliang Deng and Xuan Song*, ”HMGCL: Heterogeneous Multigraph Contrastive Learning for LBSN Friend Recommendation”, World Wide Web 2022
Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song and Ryosuke Shibasaki. ”Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin”. In Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’22)
Zhiwen Zhang†, Hongjun Wang†, Zipei Fan∗, Jiyuan Chen, Xuan Song∗, and Ryosuke Shibasaki. ”GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation”. IEEE Internet of Things Journal 2022
Chuang Yang†, Zhiwen Zhang†, Zipei Fan†, Renhe Jiang, Quanjun Chen, Xuan Song, and Ryosuke Shibasaki. ”EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control”. IEEE Transactions on Visualization and Computer Graphics (2022)
Zipei Fan, Xuan Song, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki. ”Decentralized Attention-based Personalized Human Mobility Prediction”. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 4, 1-26 (December 2019)
Z. Fan, X. Song, T. Xia, R. Jiang, Q. Chen, R. Shibasaki and H. Kaneda, “Online Deep Ensemble Learning for Predicting Citywide Human Mobility”, Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp 2018), 2018
Zipei Fan, Xuan Song, Ryosuke Shibasaki, Tao Li, Hodaka Kaneda, “CityCoupling: bridging intercity human mobility”, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Zipei Fan, Ayumi Arai, Xuan Song, Apichon Witayangkurn, Hiroshi Kanasugi, Ryosuke Shibasaki, “A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records”, Proc. of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016
Zipei Fan, Xuan Song, Ryosuke Shibasaki, Ryutaro Adachi, “CityMomentum: An Online Approach for Crowd Behavior Prediction at a Citywide Level”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2015. (Honorable Mention Awards)
Zipei Fan, Xuan Song, Ryosuke Shibasaki, “CitySpectrum: A Non-negative Tensor Factorization Approach”, Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 5-14, 2014.
获奖情况：
日本文部科学省卓越研究员
中国发明协会发明创新奖
ACM UbiComp 2015最佳论文提名奖
学术服务：
IJCAI高级程序委员会委员
IMWUT，TDKE，TBD，TMC，WWWJ，KDD，AAAI，ECMLPKDD，TITS，TMM等会议或期刊审稿人
”Spatial Big Data Meets AI: Applications and Perspectives”, IEEE BigData 2022会议教程主讲人
The 15th International Conference on Green, Pervasive and Cloud Computing (GPC 2020) Workshop主席
期待的学生：
动手能力强，诚实守信，自我驱动
