The Chang E-3 landing and working area selecting: Based on the lunar digital terrain model. - Zhaonan Wang 001; Xin Huang; Haoran Zhou; Yueyuan Ma; Yuanzheng Xiao (Geoinformatics, 2013)

DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. - Renhe Jiang; Xuan Song 001; Dou Huang; Xiaoya Song; Tianqi Xia; Zekun Cai; Zhaonan Wang 001; Kyoung-Sook Kim 001; Ryosuke Shibasaki (KDD, 2019)

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Xuan Song 001; Kota Tsubouchi; Ryosuke Shibasaki (CoRR, 2019)

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. - Tianqi Xia; Adam Jatowt; Zhaonan Wang 001; Ruochen Si; Haoran Zhang 002; Xin Liu 020; Ryosuke Shibasaki; Xuan Song 001; Kyoung-Sook Kim 001 (W2GIS, 2020)

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. - Renhe Jiang; Du Yin; Zhaonan Wang 001; Yizhuo Wang; Jiewen Deng; Hangchen Liu; Zekun Cai; Jinliang Deng; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. - Zhaonan Wang 001; Renhe Jiang; Zekun Cai; Zipei Fan; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. - Zhaonan Wang 001; Tianqi Xia; Renhe Jiang; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (ICDE, 2021)

Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. - Renhe Jiang; Zhaonan Wang 001; Zekun Cai; Chuang Yang 002; Zipei Fan; Tianqi Xia; Go Matsubara; Hiroto Mizuseki; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (4), 2021)

Transfer Urban Human Mobility via POI Embedding over Multiple Cities. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Zhaonan Wang 001; Quanjun Chen; Zekun Cai; Ryosuke Shibasaki (Trans. Data Sci., 2021)

Event-Aware Multimodal Mobility Nowcasting. - Zhaonan Wang 001; Renhe Jiang; Hao Xue 001; Flora D. Salim; Xuan Song 001; Ryosuke Shibasaki (AAAI, 2022)

Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Big Data, 2022)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (ICDE, 2022)

Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (ACM Trans. Intell. Syst. Technol., 2022)

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. - Renhe Jiang; Zhaonan Wang 001; Jiawei Yong; Puneet Jeph; Quanjun Chen; Yasumasa Kobayashi; Xuan Song 001; Shintaro Fukushima; Toyotaro Suzumura (AAAI, 2023)

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. - Zekun Cai; Renhe Jiang; Xinyu Yang; Zhaonan Wang 001; Diansheng Guo; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2023)

Geospatial Knowledge Hypercube. - Zhaonan Wang 001; Bowen Jin; Wei Hu; Minhao Jiang; Seungyeon Kang; Zhiyuan Li; Sizhe Zhou; Jiawei Han 001; Shaowen Wang 001 (SIGSPATIAL/GIS, 2023)

Geo-Foundation Models: Reality, Gaps and Opportunities. - Yiqun Xie; Zhaonan Wang 001; Gengchen Mai; Yanhua Li; Xiaowei Jia; Song Gao 001; Shaowen Wang 001 (SIGSPATIAL/GIS, 2023)

Towards an Event-Aware Urban Mobility Prediction System. - Zhaonan Wang 001; Renhe Jiang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (WSDM, 2023)

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. - Renhe Jiang; Zhaonan Wang 001; Yudong Tao; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu (WWW, 2023)

Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates. - Jimeng Shi; Vitalii Stebliankin; Zhaonan Wang 001; Shaowen Wang 001; Giri Narasimhan (CoRR, 2023)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Knowl. Data Eng., 2023)

Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. - Wei Hu; Bowen Jin; Minhao Jiang; Sizhe Zhou; Zhaonan Wang 001; Jiawei Han 001; Shaowen Wang 001 (SDM, 2024)

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. - Zhaonan Wang 001; Renhe Jiang; Hao Xue 001; Flora D. Salim; Xuan Song 001; Ryosuke Shibasaki; Wei Hu; Shaowen Wang 001 (Artif. Intell., 2024)

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. - Zekun Cai; Renhe Jiang; Xinlei Lian; Chuang Yang 002; Zhaonan Wang 001; Zipei Fan; Kota Tsubouchi; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Mob. Comput., 2024)

Deep Learning and Foundation Models for Weather Prediction: A Survey. - Jimeng Shi; Azam Shirali; Bowen Jin; Sizhe Zhou; Wei Hu; Rahuul Rangaraj; Shaowen Wang 001; Jiawei Han 001; Zhaonan Wang 001; Upmanu Lall; Yanzhao Wu 001; Leonardo Bobadilla; et al. (CoRR, 2025)