Zhaonan Wang

According to our database, Zhaonan Wang authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Ryosuke Shibasaki

IEEE Trans. Mob. Comput., May, 2024

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.

Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang

Artif. Intell., 2024

2023

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, Ryosuke Shibasaki

IEEE Trans. Knowl. Data Eng., 2023

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster.

Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu

Proceedings of the ACM Web Conference 2023, 2023

Towards an Event-Aware Urban Mobility Prediction System.

Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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, Ryosuke Shibasaki

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting.

Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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, Ryosuke Shibasaki

ACM Trans. Intell. Syst. Technol., 2022

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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, Ryosuke Shibasaki

Proceedings of the IEEE International Conference on Big Data, 2022

Event-Aware Multimodal Mobility Nowcasting.

Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Transfer Urban Human Mobility via POI Embedding over Multiple Cities.

Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki

Trans. Data Sci., 2021

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, Ryosuke Shibasaki

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks.

Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

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, Ryosuke Shibasaki

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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, Ryosuke Shibasaki

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk.

Tianqi Xia, Adam Jatowt, Zhaonan Wang, Ruochen Si, Haoran Zhang, Xin Liu, Ryosuke Shibasaki, Xuan Song, Kyoung-Sook Kim

Proceedings of the Web and Wireless Geographical Information Systems, 2020

2019

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki

CoRR, 2019

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, Ryosuke Shibasaki

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019