Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System. - Chuang Yang 002; Yilan Zhang; Bo Tang 016; Min Zhu (ICDE, 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)

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. - Quanjun Chen; Renhe Jiang; Chuang Yang 002; Zekun Cai; Zipei Fan; Kota Tsubouchi; Ryosuke Shibasaki; Xuan Song 001 (SIGSPATIAL/GIS, 2020)

Human mobility based individual-level epidemic simulation platform. - Zipei Fan; Xuan Song 001; Yinghao Liu; Zhiwen Zhang 004; Chuang Yang 002; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (ACM SIGSPATIAL Special, 2020)

Data-Driven In-Crisis Community Identification for Disaster Response and Management. - Yudong Tao; Renhe Jiang; Erik Coltey; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Mei-Ling Shyu; Shu-Ching Chen (CIC, 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)

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)

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. - Qi Cao; Renhe Jiang; Chuang Yang 002; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (6), 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)

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. - Xiaohang Xu 002; Toyotaro Suzumura; Jiawei Yong; Masatoshi Hanai; Chuang Yang 002; Hiroki Kanezashi; Renhe Jiang; Shintaro Fukushima (SIGSPATIAL/GIS, 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)

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility. - Qi Cao; Renhe Jiang; Chuang Yang 002; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2023)

A Survey on Data-driven COVID-19 and Future Pandemic Management. - Yudong Tao; Chuang Yang 002; Tianyi Wang 003; Erik Coltey; Yanxiu Jin; Yinghao Liu; Renhe Jiang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu; et al. (ACM Comput. Surv., 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)

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. - Chuang Yang 002; Zhiwen Zhang 004; Zipei Fan; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Vis. Comput. Graph., 2023)

Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction. - Peizhi Tang; Chuang Yang 002; Tong Xing; Xiaohang Xu 002; Renhe Jiang; Kaoru Sezaki (HuMob-Challenge@SIGSPATIAL, 2024)

Taming the Long Tail in Human Mobility Prediction. - Xiaohang Xu 002; Renhe Jiang; Chuang Yang 002; Zipei Fan; Kaoru Sezaki (NeurIPS, 2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Noboru Koshizuka; Chuan Xiao 001 (NeurIPS, 2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Chuan Xiao 001 (CoRR, 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)

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity. - Chuang Yang 002; Renhe Jiang; Xiaohang Xu 002; Chuan Xiao 001; Kaoru Sezaki (Proc. VLDB Endow., 2024)