范子沛

范子沛学者个人简历

WechatIMG2577

ACADEMIC/TEACHING EXPERIENCE

Project Lecturer Center for Spatial Information Science
University of Tokyo Oct 2020
Project Assistant Professor Center for Spatial Information Science
University of Tokyo Apr 2019
Project Researcher Center for Spatial Information Science
University of Tokyo Dec 2018
Project Researcher Earth Observation Data Integration & Fusion Research Initiative
University of Tokyo Oct 2017

EDUCATION

2014-2017 D.Eng., the University of Tokyo, Civil Engineering
2012-2014 M.Eng., the University of Tokyo, Civil Engineering
2008-2012 B.Eng., Beihang University, Computer Science and Engineering

PUBLICATION

  • Zhiwen Zhang, Hongjun Wang, Zipei Fan*, Xuan Song, Ryosuke Shibasaki, ¡±Missing Road Condition Imputation Using a Multi-view Heterogeneous Graph Network from GPS Trajectory¡±, IEEE Transactions on Intelligent Transportation Systems. (2023)
  • Hongjun Wang, Zhiwen Zhang, Zipei Fan*, Jiyuan Chen, Lingyu Zhang, Xuan Song*, Ryosuke Shibasaki, ¡±Multi-task Weakly Supervised Learning for Origin¨CDestination Travel Time Estimation¡±, IEEE Transactions on Knowledge and Data Engineering. (2023)
  • Hongjun Wang, Zipei Fan*, Jiyuan Chen, Lingyu Zhang, Xuan Song*, ¡±Discovering Key Sub-Trajectories to Explain Tra.ic Prediction¡±, in Sensors (2022)
  • 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¡±. to appear in IEEE Internet of Things Journal
  • Wei Yuan, Xiaodan Shi, Zhiling Guo, Zipei Fan, Jianya Gong, and Ryosuke Shibasaki. ¡±Cross-Scale Attention-based Tree Crown Detection via UAV imagery.¡± In IGARSS 2022-2022 IEEE International Geo-science and Remote Sensing Symposium, pp. 2203-2206. IEEE, 2022.
  • Yongkang Li, Zipei Fan*, Du Yin, Renhe Jiang, Jinliang Deng and Xuan Song*, ¡±HMGCL: Heteroge-neous Multigraph Contrastive Learning for LBSN Friend Recommendation¡±, World Wide Web 2022
  • Hongjun Wang., Jiyuan Chen., Zipei Fan*, Zhiwen Zhang, Zekun Cai, and Xuan Song*. ¡±ST-ExpertNet: A Deep Expert Framework for Tra.ic Prediction.¡± IEEE Transactions on Knowledge and Data Engineering. (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 (SIGSPA-TIAL ¡¯22)
  • Zipei Fan, Guixu Lin, Wei Yuan, Pengpeng E, Xuan Song and Ryosuke Shibasaki. ¡±Exploring Intercity Regional Similarity Using Worldwide Location-based Social Network Data (Demo Paper)¡±. In Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ¡¯22)
  • Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng and Xuan Song. ¡±Heterogeneous Hypergraph Neural Network with SCL for Friend Recommendation in LBSN¡±. to appear In Proceedings of the 31th ACM International Conference on Information & Knowledge Manage-ment, pp. 2060-2069. 2022.
  • 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 (Volume: 9, Issue: 23, Dec 2022)
  • Zhiwen Zhang., Hongjun Wang., Zipei Fan., Jiyuan Chen, Xuan Song., and Ryosuke Shibasaki. ¡±Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories¡±. ECML PKDD 2022
  • Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, and Ryosuke Shibasaki. ¡±MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks¡±. ECML PKDD 2022
  • Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, and Steven Luis. ¡±A Survey on Data-Driven COVID-19 and Future Pandemic Management¡±. ACM Comput. Surv. (May 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) (early access)
  • Zipei Fan, Chuang Yang, Zhiwen Zhang, Xuan Song, Yinghao Liu, Renhe Jiang, Quanjun Chen, and Ryosuke Shibasaki. ¡±Human Mobility based Individual-level Epidemic Simulation Platform¡±. ACM Trans. Spatial Algorithms Syst. 8, no. 3 (2022): 1-16.
  • Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki. ¡±Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System¡±. ACM Transactions on Intelligent Systems and Technology (TIST) 13, no. 2 (2022): 1-24.
  • Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, and Ryosuke Shibasaki. ¡±Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.¡± In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 2060-2069. 2021.
  • Liu Yinghao., Zipei Fan., Xuan Song, and Ryosuke Shibasaki. ¡±FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction¡±, Sensors 2021, no. 24: 8282.
  • Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, and Ryosuke Shibasaki. ¡±Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.¡± In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 319-334. Springer, Cham, 2021.
  • Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W Tsang. ¡±The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting¡±, ACM Transactions on Knowledge Discovery from Data (TKDD) 15, no. 6 (2021): 1-25
  • Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki. ¡±DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction¡±, IEEE Transactions on Knowledge and Data Engineering. (2021)
  • Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, and Ryosuke Shibasaki. 2021. Transfer Urban Human Mobility via POI Embedding over Multiple Cities. ACM/IMS Trans. Data Sci. 2, 1, Article 4 (January 2021), 26 pages.
  • W Yuan, X Yuan, Z Fan, Z Guo, X Shi, J Gong, R Shibasaki. ¡±Graph Neural Network Based Multi-Feature Fusion for Building Change Detection¡±, ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43 (2021): 377-382
  • Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, and Xuan Song. 2020. DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. Proceedings of the 28th International Conference on Advances in Geographic Information Systems. Association for Computing Machinery, New York, NY, USA, 283¨C292.
  • Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki. Will you go where you search? A deep learning framework for estimating user search-and-go behavior. Neurocomputing (2020), ISSN 0925-2312
  • Yuan, W., Z. Fan, X. Yuan, J. Gong, and R. Shibasaki. ¡±UNSUPERVISED MULTI-CONSTRAINT DEEP NEURAL NETWORK FOR DENSE IMAGE MATCHING.¡± International Archives of the Photogram-metry, Remote Sensing & Spatial Information Sciences 43 (2020).
  • Miyazawa, S., X. Song, R. Jiang, Z. Fan, R. Shibasaki, and T. Sato. ¡±CITY-SCALE HUMAN MOBIL-ITY PREDICTION MODEL BY INTEGRATING GNSS TRAJECTORIES AND SNS DATA USING LONG SHORT-TERM MEMORY.¡± ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 5, no. 4 (2020).
  • Zipei Fan, Xuan Song, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Kota Tsubouchi. ¡±Trajectory fingerprint: one-shot human trajectory identification using Siamese network¡±, CCF Transactions on Per-vasive Computing and Interaction, 2020
  • Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki, ¡±Multimodal Interaction-Aware Trajectory Prediction in Crowded Space¡±, Proc. of Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2020.
  • Fan, Zipei, Xuan Song, and Ryosuke Shibasaki. ¡±Big Data-Driven Citywide Human Mobility Modeling for Emergency Management.¡± In Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, pp. 109-130. Springer, Cham, 2020.
  • Zipei Fan, Xuan Song, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki. 2019. ¡±Decentralized Attention-based Personalized Human Mobility Prediction¡±. Proc. ACM Interact. Mob. Wearable Ubiqui-tous Technol. 3, 4, 1-26 (December 2019)
  • Zipei Fan, Xuan Song, Quanjun Chen, Renhe Jiang, Kota Tsubouchi, Ryosuke Shibasaki. 2019. ¡±Deep Multiple Instance Learning for Human Trajectory Identification¡±. In Proceedings of the 27th ACM SIGSPA-TIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ¡¯19)
  • Dou Huang, Xuan Song, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Yu Zhang, Haizhong Wang, Yugo Kato, ¡±A Variational Autoencoder Based Generative Model of Urban Human Mobility,¡± 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2019, pp. 425-430
  • 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.
  • H. Zhang, X. Song, T. Xia, M. Yuan, Z. Fan, R. Shibasaki, Y. Liang, ¡°Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response¡±, Applied Energy 220 (2018): 527-535.
  • R. Jiang, X. Song, Z. Fan, T. Xia, Q. Chen, S. Miyazawa, R. Shibasaki, ¡°DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction¡±, Proc. of Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
  • Xia, Tianqi, Xuan Song, Zipei Fan, Hiroshi Kanasugi, QuanJun Chen, Renhe Jiang, and Ryosuke Shibasaki. ¡±DeepRailway: a deep learning system for forecasting railway tra.ic.¡± In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 51-56. IEEE, 2018.
  • Q. Chen, X. Song, Z. Fan, T. Xia, H. Yamada and R. Shibasaki, ¡±A Context-Aware Nonnegative Ma-trix Factorization Framework for Tra.ic Accident Risk Estimation via Heterogeneous Data,¡± 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL, 2018, pp. 346-351
  • R. Jiang, X. Song, Z. Fan, T. Xia, Q. Chen, Q. Chen, and R. Shibasaki,¡°Deep ROI-Based Modeling for Urban Human Mobility Prediction¡±, Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp 2018), 2018.
  • T. Xia, X. Song, D. Huang, S. Miyazawa, Z. Fan, R. Jiang, R. Shibasaki,¡°Outbound Behavior Analysis Through Social Network Data: a case study of Chinese people in Japan¡±, Proc. of Big Social Media Data Management and Analysis, IEEE BigData 2017, 2017.
  • 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 Ubiq-uitous 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.
  • Ayumi Arai., Zipei Fan., Dunstan Matekenya., Ryosuke Shibasaki, ¡°Comparative perspective of human behavior patterns to uncover ownership bias among mobile phone users¡±, ISPRS International Journal of Geo-Information 5, no. 6 (2016): 85.
  • 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 (Ubi-Comp), pp. 5-14, 2014.
  • Zipei Fan, Zeliang Wang, Jinshi Cui, Franck Davoine, Huijing Zhao, Hongbin Zha: ¡°Monocular Pedes-trian Tracking from a Moving Vehicle¡±. ACCV Workshops (2) 2012: 335-346

Patent

  • Song, Xuan, Zipei Fan, Quanjun Chen, Renhe Jiang, Zekun Cai, and Ryosuke Shibasaki. ¡±TRAVEL PREDICTION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM.¡± U.S. Patent Appli-cation 16/931,757, filed October 7, 2021.
  • Song, Xuan, Zipei Fan, Zhiwen Zhang, Chuang Yang, Yinghao Liu, Renhe Jiang, Quanjun Chen, and Ryosuke Shibasaki. ¡±Method and apparatus for predicting transmission of an infectious disease, computer apparatus and storage medium.¡± U.S. Patent Application 16/928,689, filed September 30, 2021.
  • Song, Xuan, Haoran Zhang, Liqiao Huang, Ning Xu, Zipei Fan, and Ryosuke Shibasaki. ¡±Method of de-termining a rescue plan and apparatus, server and storage medium.¡± U.S. Patent Application 17/217,301, filed September 30, 2021.
  • Song, Xuan, Haoran Zhang, Ning Xu, Liqiao Huang, Zipei Fan, and Ryosuke Shibasaki. ¡±Method and apparatus for arranging an emergency rescue station, server, and storage medium.¡± U.S. Patent Applica-tion 17/224,631, filed October 7, 2021.

FUNDING

2022 - 2024 Grant-in-Aid for Scientific Research B (22H03573)
Title: Heterogeneous Graph Neural Network based Federated Mobile Crowdsensing
Principal Investigator
Japan Society for the Promotion of Science (JSPS)
2021 - 2024 Japan (JST) - US (NSF) Joint Research
Title: Multimodal Data Analytics and Integration for Effective COVID-19, Pandemics and Compound Disaster Response and Management (Grant Number JPMJSC2104)
Co-investigator
Strategic International Collaborative Research Program (SICORP), Japan Science and Tech- nology Agency (JST)
2021 - 2022 Beyond AI 研究推進機構
Title: 異種プラットフォーム連携と情報デューデリジェンスによるスマートシティ・スマー ト社会の実現加速技術の開発
Co-investigator
Joint research with Softbank
2020 - 2022 Grant-in-Aid for Young Scientists (20K19782)
Title: An Online Adaptive Boosting Ensemble Approach to Human Mobility Prediction at a Metropolitan Scale ト社会の実現加速技術の開発
Principal Investigator
Japan Society for the Promotion of Science (JSPS)
2020 - 2021 持続可能開発目標達成支援事業(B タイプ)
Title: 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
Co-investigator
国立研究開発法人科学技術振興機構

Academic Services:

Reviewer:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2018, 2019, 2020, 2022
IEEE Trans. on Knowledge and Data Engineering
IEEE Trans. on Big Data
IEEE Trans. on Mobile Computing
World Wide Web (Journal)
Sensors
Scientific Reports
ISPRS International
Journal of Geo-Information Journal of Ambient Intelligence and Humanized Computing

Program Committee Member:
SIGKDD Conference on Knowledge Discovery and Data Mining 2022, 2023
IJCAI International Joint Conferences on Artificial Intelligence 2022
AAAI Conference on Artificial Intelligence 2021, 2022
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2016
ECML PKDD 2021, 2022
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2023
International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021, 2022)
The 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017, 2018)
IEEE International Conference on Multimedia Information Retrieval and Processing (MIPR¡¯18, 21)

Senior Program Committee Member:
IJCAI International Joint Conferences on Artificial Intelligence 2023

Workshop Chair:
The 15th International Conference on Green, Pervasive and Cloud Computing (GPC 2020)

Talk & Tutorial:
"Spatial Big Data Meets AI: Applications and Perspectives", in IEEE BigData 2022
"Metropolitan-scale Mobility Digital Twin", in WSDM-23 Smart City Day

Working / Internship / Visiting Scholar

LocationMind Inc. Large-scale Human Mobility Analysis
Senior Researcher Oct 2022-present
  • Fine-grained human trajectory prediction system.
  • Irregular trajectory detection.
  • Human mobility modeling in response to natural disaster.
Southern University of Science and Technology AI + Urban
Visiting Scholar Nov 2019-present
  • Weak-supervised learning based travel time prediction and trajectory recovery.
  • Explainable spatiotemporal prediction.
  • Privacy preserving taxi trajectory prediction.
Yahoo! Japan Research Heterogeneous user log data integration
Visiting Researcher Nov 2017-present
  • Deep metric network, multi-head attention network for human mobility identification.
  • Heterogeneous user log data processing and data fusion.
  • Crowdsensing for fine-grained temperature map.
Microbase Geographical data processing and analysis
Internship Aug 2016-Jul 2017
  • Dynamic population census.
  • Geographical data cleansing, processing and analysis.
Huawei Japan Research Center Hand Gesture Recognition
Internship Dec 2015-May 2016
  • Basic setting up and handling of Creative Senz3D Depth Camera.
  • 3D physical world simulator for virtual reality experiments.
  • Propose hand tips tracking and basic hand gesture recognition algorithm.
Peking University Multimodal Perception for Transnational Intelligent Vehicles
Research Student Dec 2010-Jul 2012
  • Propose a tracking-by-clustering algorithm to improve the pedestrian tracking results from a moving vehicle by pretrained predictive model based on trajectory clusters.
  • Propose a model-based vehicle detection, classification, and pose estimation algorithm for vehicle monitoring using video from the surveillance camera at intersection.

AWARDS AND ACHIEVEMENTS

  • Japanese Government Scholarship 2012-2017
  • Honorable Mention Awards in UbiComp 2015
  • 3rd-Prize in ACM programming competition in Beihang University 2009
  • 3rd-Prize in Math competition for university students in Beihang 2009