Publications

publications by categories in reversed chronological order.

2025

  1. Arxiv
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    Continuous Domain Generalization
    Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, and Liang Zhao
    arXiv preprint, 2025
    PDF

2024

  1. NeurIPS
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    Continuous Temporal Domain Generalization
    Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, and Liang Zhao
    In Advances in Neural Information Processing Systems, Vancouver, Canada, 2024
    PDF Code

2023

  1. CIKM
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    MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
    Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, and Ryosuke Shibasaki
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Birmingham, UK, 2023
    PDF Code
  2. IEEE TMC
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    Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks
    Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, and Ryosuke Shibasaki
    IEEE Transactions on Mobile Computing, 2023
    PDF

2022

  1. Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka
    Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, and Ryosuke Shibasaki
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
  2. St-expertnet: A deep expert framework for traffic prediction
    Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, and Xuan Song
    IEEE Transactions on Knowledge and Data Engineering, 2022
  3. Predicting citywide crowd dynamics at big events: A deep learning system
    Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, and Ryosuke Shibasaki
    ACM Transactions on Intelligent Systems and Technology (TIST), 2022
  4. Will you go where you search? A deep learning framework for estimating user search-and-go behavior
    Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, and Ryosuke Shibasaki
    Neurocomputing, 2022

2021

  1. IEEE TKDE
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    DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
    Renhe Jiang*, Zekun Cai*, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, and Ryosuke Shibasaki
    IEEE Transactions on Knowledge and Data Engineering, 2021
    PDF Code
  2. Spatio-temporal-categorical graph neural networks for fine-grained multi-incident co-prediction
    Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, and Ryosuke Shibasaki
    In Proceedings of the 30th ACM international conference on information & knowledge management, 2021
  3. CIKM
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    DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
    Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, and Ryosuke Shibasaki
    In Proceedings of the 30th ACM International Conference on Information and Knowledge Management), Virtual Event, Queensland, Australia, 2021
    Best Resource Paper Runner-Up PDF Code
  4. GPS data in urban online ride-hailing: A simulation method to evaluate impact of user scale on emission performance of system
    Jinyu Chen, Wenjing Li, Haoran Zhang, Zekun Cai, Yi Sui, Yin Long, Xuan Song, and Ryosuke Shibasaki
    Journal of cleaner production, 2021
  5. Transfer urban human mobility via poi embedding over multiple cities
    Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, and Ryosuke Shibasaki
    ACM Transactions on Data Science, 2021
  6. Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
    Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, and Ryosuke Shibasaki
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021

2020

  1. Dualsin: Dual sequential interaction network for human intentional mobility prediction
    Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, and Xuan Song
    In Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020
  2. End-To Building Change Detection Model in Aerial Imagery and Digital Surface Model Based on Neural Networks
    Xinlei Lian, Wei Yuan, Zhiling Guo, Zekun Cai, Xuan Song, and Ryosuke Shibasaki
    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
  3. Learn to recover visible color for video surveillance in a day
    Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, and Ryosuke Shibasaki
    In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, 2020

2019

  1. KDD
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    Deepurbanevent: A System for Predicting Citywide Crowd Dynamics at Big Events
    Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, and Ryosuke Shibasaki
    In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, Alaska, 2019
    PDF Code