Probabilistic Detection-based Particle Filter for Multi-target Tracking. - Xuan Song 001; Jinshi Cui; Hongbin Zha; Huijing Zhao (BMVC, 2008)

Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning. - Xuan Song 001; Jinshi Cui; Hongbin Zha; Huijing Zhao (ECCV (3), 2008)

Tracking interacting targets with laser scanner via on-line supervised learning. - Xuan Song 001; Jinshi Cui; Xulei Wang; Huijing Zhao; Hongbin Zha (ICRA, 2008)

Combining Laser-Scanning Data and Images for Target Tracking and Scene Modeling. - Hongbin Zha; Huijing Zhao; Jinshi Cui; Xuan Song 001; Xianghua Ying (ISRR, 2009)

An online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene. - Xuan Song 001; Xiaowei Shao; Huijing Zhao; Jinshi Cui; Ryosuke Shibasaki; Hongbin Zha (CVPR, 2010)

Fusion of laser and vision for multiple targets tracking via on-line learning. - Xuan Song 001; Huijing Zhao; Jinshi Cui; Xiaowei Shao; Ryosuke Shibasaki; Hongbin Zha (ICRA, 2010)

A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method. - Xuan Song 001; Xiaowei Shao; Ryosuke Shibasaki; Huijing Zhao; Jinshi Cui; Hongbin Zha (ICRA, 2011)

Laser-based intelligent surveillance and abnormality detection in extremely crowded scenarios. - Xuan Song 001; Xiaowei Shao; Quanshi Zhang; Ryosuke Shibasaki; Huijing Zhao; Hongbin Zha (ICRA, 2012)

Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Ryosuke Shibasaki; Huijing Zhao (CVPR, 2013)

Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (ICCV, 2013)

Unsupervised 3D category discovery and point labeling from a large urban environment. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (ICRA, 2013)

Modeling and probabilistic reasoning of population evacuation during large-scale disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Teerayut Horanont; Satoshi Ueyama; Ryosuke Shibasaki (KDD, 2013)

Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Teerayut Horanont; Satoshi Ueyama; Ryosuke Shibasaki (IEEE Intell. Syst., 2013)

Laser-based tracking of multiple interacting pedestrians via on-line learning. - Xuan Song 001; Jinshi Cui; Huijing Zhao; Hongbin Zha; Ryosuke Shibasaki (Neurocomputing, 2013)

Unsupervised skeleton extraction and motion capture from 3D deformable matching. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Ryosuke Shibasaki; Huijing Zhao (Neurocomputing, 2013)

A novel dynamic model for multiple pedestrians tracking in extremely crowded scenarios. - Xuan Song 001; Xiaowei Shao; Quanshi Zhang; Ryosuke Shibasaki; Huijing Zhao; Hongbin Zha (Inf. Fusion, 2013)

A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection. - Xuan Song 001; Xiaowei Shao; Quanshi Zhang; Ryosuke Shibasaki; Huijing Zhao; Jinshi Cui; Hongbin Zha (ACM Trans. Intell. Syst. Technol., 2013)

An online system for multiple interacting targets tracking: Fusion of laser and vision, tracking and learning. - Xuan Song 001; Huijing Zhao; Jinshi Cui; Xiaowei Shao; Ryosuke Shibasaki; Hongbin Zha (ACM Trans. Intell. Syst. Technol., 2013)

Intelligent System for Urban Emergency Management during Large-Scale Disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki (AAAI, 2014)

When 3D Reconstruction Meets Ubiquitous RGB-D Images. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (CVPR, 2014)

Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (CVPR, 2014)

CitySpectrum: a non-negative tensor factorization approach. - Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (UbiComp, 2014)

Start from minimum labeling: Learning of 3D object models and point labeling from a large and complex environment. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (ICRA, 2014)

Prediction of human emergency behavior and their mobility following large-scale disaster. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki (KDD, 2014)

A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki; Nicholas Jing Yuan; Xing Xie 001 (AAAI, 2015)

CityMomentum: an online approach for crowd behavior prediction at a citywide level. - Zipei Fan; Xuan Song 001; Ryosuke Shibasaki; Ryutaro Adachi (UbiComp, 2015)

From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (ACM Trans. Intell. Syst. Technol., 2015)

Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. - Quanjun Chen; Xuan Song 001; Harutoshi Yamada; Ryosuke Shibasaki (AAAI, 2016)

Particle filter for real-time human mobility prediction following unprecedented disaster. - Akihito Sudo; Takehiro Kashiyama; Takahiro Yabe; Hiroshi Kanasugi; Xuan Song 001; Tomoyuki Higuchi; Shin'ya Nakano; Masaya M. Saito; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2016)

CityCoupling: bridging intercity human mobility. - Zipei Fan; Xuan Song 001; Ryosuke Shibasaki; Tao Li 001; Hodaka Kaneda (UbiComp, 2016)

A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records. - Zipei Fan; Ayumi Arai; Xuan Song 001; Apichon Witayangkurn; Hiroshi Kanasugi; Ryosuke Shibasaki (IJCAI, 2016)

DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level. - Xuan Song 001; Hiroshi Kanasugi; Ryosuke Shibasaki (IJCAI, 2016)

Object Discovery: Soft Attributed Graph Mining. - Quanshi Zhang; Xuan Song 001; Xiaowei Shao; Huijing Zhao; Ryosuke Shibasaki (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Outbound behavior analysis through social network data: A case study of Chinese people in Japan. - Tianqi Xia; Xuan Song 001; Dou Huang; Satoshi Miyazawa; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki (IEEE BigData, 2017)

Visual Graph Mining. - Quanshi Zhang; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2017)

Prediction and Simulation of Human Mobility Following Natural Disasters. - Xuan Song 001; Quanshi Zhang; Yoshihide Sekimoto; Ryosuke Shibasaki; Nicholas Jing Yuan; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2017)

DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data. - Xuan Song 001; Ryosuke Shibasaki; Nicholas Jing Yuan; Xing Xie 001; Tao Li 001; Ryutaro Adachi (ACM Trans. Inf. Syst., 2017)

DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Satoshi Miyazawa; Ryosuke Shibasaki (AAAI, 2018)

A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data. - Quanjun Chen; Xuan Song 001; Zipei Fan; Tianqi Xia; Harutoshi Yamada; Ryosuke Shibasaki (MIPR, 2018)

DeepRailway: A Deep Learning System for Forecasting Railway Traffic. - Tianqi Xia; Xuan Song 001; Zipei Fan; Hiroshi Kanasugi; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (MIPR, 2018)

Online Deep Ensemble Learning for Predicting Citywide Human Mobility. - Zipei Fan; Xuan Song 001; Tianqi Xia; Renhe Jiang; Ryosuke Shibasaki; Ritsu Sakuramachi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Deep ROI-Based Modeling for Urban Human Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Qi Chen 012; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018. - Akihito Sudo; Yoshihide Sekimoto; Lau Honng Chuin; Xuan Song 001; Takahiro Yabe (ACM SIGSPATIAL Special, 2018)

Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events. - Tao Li 001; Xuan Song 001; Shu-Ching Chen; Ryosuke Shibasaki; Rajendra Akerkar (IEEE Trans. Multim., 2018)

Deep Multiple Instance Learning for Human Trajectory Identification. - Zipei Fan; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Xuan Song 001; Kota Tsubouchi (SIGSPATIAL/GIS, 2019)

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)

A Variational Autoencoder Based Generative Model of Urban Human Mobility. - Dou Huang; Xuan Song 001; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki; Yu Zhang; Haizhong Wang; Yugo Kato (MIPR, 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)

Visual graph mining for graph matching. - Quanshi Zhang; Xuan Song 001; Yu Yang 007; Haotian Ma; Ryosuke Shibasaki (Comput. Vis. Image Underst., 2019)

Integrating GPS trajectory and topics from Twitter stream for human mobility estimation. - Satoshi Miyazawa; Xuan Song 001; Tianqi Xia; Ryosuke Shibasaki; Hodaka Kaneda (Frontiers Comput. Sci., 2019)

Decentralized Attention-based Personalized Human Mobility Prediction. - Zipei Fan; Xuan Song 001; Renhe Jiang; Quanjun Chen; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images. - Ali P. Yunus; Jie Dou; Xuan Song 001; Ram Avtar (Sensors, 2019)

Guest editorial: special issue on big data for effective disaster management (In Memorial of Tao Li). - Xuan Song 001; Song Guo 001; Haizhong Wang (World Wide Web, 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)

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)

Trajectory fingerprint: one-shot human trajectory identification using Siamese network. - Zipei Fan; Xuan Song 001; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Kota Tsubouchi (CCF Trans. Pervasive Comput. Interact., 2020)

A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping. - Viet-Ha Nhu; Phuong-Thao Thi Ngo; Tien Dat Pham 001; Jie Dou; Xuan Song 001; Nhat-Duc Hoang; An Dang Tran; Phan Cao Duong; Ibrahim Berkan Aydilek; Mahdis Amiri; Romulus Costache; Pham Viet Hoa; et al. (Remote. Sens., 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)

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)

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)

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)

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (KDD, 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)

Data-driven hospital personnel scheduling optimization through patients prediction. - Defan Feng; Yu Mo; Zhiyao Tang; Quanjun Chen; Haoran Zhang 002; Rajendra Akerkar; Xuan Song 001 (CCF Trans. Pervasive Comput. Interact., 2021)

Small World Model for scaling up prediction result based on SEIR model. - Guixu Lin; Peiran Li; Yicheng Zhao; Haoran Zhang 002; Xuan Song 001 (CoRR, 2021)

Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data. - Wenjing Li 006; Haoran Zhang 002; Jinyu Chen; Peiran Li; Yuhao Yao; Mariko Shibasaki; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2021)

Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison. - Yuhao Yao; Haoran Zhang 002; Jinyu Chen; Wenjing Li 006; Mariko Shibasaki; Ryosuke Shibasaki; Xuan Song 001 (CoRR, 2021)

An open GPS trajectory dataset and benchmark for travel mode detection. - Jinyu Chen; Haoran Zhang 002; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2021)

Differentiable Projection for Constrained Deep Learning. - Dou Huang; Haoran Zhang 002; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2021)

FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction. - Yinghao Liu; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (Sensors, 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)

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. - Jinliang Deng; Xiusi Chen; Zipei Fan; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (ACM Trans. Knowl. Discov. Data, 2021)

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

Learning Latent Road Correlations from Trajectories. - Zheng Dong 006; Quanjun Chen; Renhe Jiang; Huanchen Wang; Xuan Song 001; Hao Tian (IEEE Big Data, 2022)

The Impact of COVID-19 on Human Mobility: A Case Study on New York. - Xinchen Hao; Renhe Jiang; Jiewen Deng; Xuan Song 001 (IEEE Big Data, 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)

A Geomagnetic Sensor Dataset for Traffic Flow Prediction. - Huanchen Wang; Quanjun Chen; Zheng Dong 006; Xuan Song 001; Hao Tian; Donglong Yang; Manxia Liu (IEEE Big Data, 2022)

Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. - Yongkang Li 002; Zipei Fan; Jixiao Zhang; Dengheng Shi; Tianqi Xu; Du Yin; Jinliang Deng; Xuan Song 001 (CIKM, 2022)

Exploring intercity regional similarity using worldwide location-based social network data (demo paper). - Zipei Fan; Guixu Lin; Wei Yuan 004; Ryosuke Shibasaki; Pengpeng E; Xuan Song 001 (SIGSPATIAL/GIS, 2022)

Online trajectory prediction for metropolitan scale mobility digital twin. - Zipei Fan; Xiaojie Yang; Wei Yuan 004; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (SIGSPATIAL/GIS, 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)

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. - Shuang Ao; Tianyi Zhou 001; Jing Jiang 002; Guodong Long; Xuan Song 001; Chengqi Zhang (ICML, 2022)

Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset. - Haoyuan Ma; Mintao Zhou; Xiaodong Ouyang; Du Yin; Renhe Jiang; Xuan Song 001 (ITSC, 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)

Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Jiyuan Chen; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (6), 2022)

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley. - Yifan Jiang; Zezheng Feng; Hongjun Wang 007; Zipei Fan; Xuan Song 001 (CoRR, 2022)

Challenges and future directions of secure federated learning: a survey. - Kaiyue Zhang; Xuan Song 001; Chenhan Zhang; Shui Yu 001 (Frontiers Comput. Sci., 2022)

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 001; Kota Tsubouchi; Ryosuke Shibasaki (Neurocomputing, 2022)

Phone-based Ambient Temperature Measurement with a New Confidence-based Truth Inference Model. - Dayin Chen; Xiaodan Shi; Xuan Song 001; Zhiheng Chen; Haoran Zhang 002 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Jiyuan Chen; Xuan Song 001; Ryosuke Shibasaki (IEEE Internet Things J., 2022)

Big Data and Emergency Management: Concepts, Methodologies, and Applications. - Xuan Song 001; Haoran Zhang 002; Rajendra Akerkar; Huawei Huang; Song Guo 001; Lei Zhong; Yusheng Ji; Andreas L. Opdahl; Hemant Purohit; André Skupin; Akshay Pottathil; Aron Culotta (IEEE Trans. Big Data, 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)

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zipei Fan; Xuan Song 001; Renhe Jiang; Lingyu Zhang 001; Yi Xie; Zhongyi Wang; Boyuan Zhang 005 (AAAI, 2023)

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. - Han Zheng; Xufang Luo; Pengfei Wei 001; Xuan Song 001; Dongsheng Li 002; Jing Jiang 002 (AAAI, 2023)

Extend Wave Function Collapse Algorithm to Large-Scale Content Generation. - Yuhe Nie; Shaoming Zheng; Zhan Zhuang; Xuan Song 001 (CoG, 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)

Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CIKM, 2023)

Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Ryosuke Shibasaki; Xuan Song 001 (CIKM, 2023)

Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning. - Kaiyue Zhang; Weiqi Wang; Zipei Fan; Xuan Song 001; Shui Yu 001 (GLOBECOM, 2023)

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. - Jiewen Deng; Jinliang Deng; Renhe Jiang; Xuan Song 001 (IJCAI, 2023)

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. - Hongjun Wang 007; Jiyuan Chen; Lun Du; Qiang Fu 015; Shi Han; Xuan Song 001 (IJCAI, 2023)

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. - Yizhuo Wang; Renhe Jiang; Hangchen Liu; Du Yin; Xuan Song 001 (ECML/PKDD (6), 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)

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation. - Hongjun Wang 007; Zhiwen Zhang 004; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Ryosuke Shibasaki; Xuan Song 001 (CoRR, 2023)

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (CoRR, 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)

STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CoRR, 2023)

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. - Shuang Ao; Tianyi Zhou 001; Guodong Long; Xuan Song 001; Jing Jiang 002 (CoRR, 2023)

Hyper-Relational Knowledge Graph Neural Network for Next POI. - Jixiao Zhang; Yongkang Li 002; Ruotong Zou; Jingyuan Zhang; Zipei Fan; Xuan Song 001 (CoRR, 2023)

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (CoRR, 2023)

Learning to Generate Pseudo Personal Mobility. - Peiran Li; Haoran Zhang 002; Wenjing Li 006; Dou Huang; Jinyu Chen; Junxiang Zhang; Xuan Song 001; Pengjun Zhao; 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)

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction. - Du Yin; Renhe Jiang; Jiewen Deng; Yongkang Li 002; Yi Xie; Zhongyi Wang; Yifan Zhou; Xuan Song 001; Jedi S. Shang (GeoInformatica, 2023)

Enhancing Trajectory Recovery From Gradients via Mobility Prior Knowledge. - Kaiyue Zhang; Zipei Fan; Xuan Song 001; Shui Yu 001 (IEEE Internet Things J., 2023)

Discovering Key Sub-Trajectories to Explain Traffic Prediction. - Hongjun Wang 007; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Xuan Song 001 (Sensors, 2023)

Mobility Tableau: Human Mobility Similarity Measurement for City Dynamics. - Yuhao Yao; Haoran Zhang 002; Jinyu Chen; Wenjing Li 006; Ryosuke Shibasaki; Xuan Song 001 (IEEE Trans. Intell. Transp. Syst., 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)

IIoT Based Trustworthy Demographic Dynamics Tracking With Advanced Bayesian Learning. - Peiran Li; Haoran Zhang 002; Wenjing Li 006; Keping Yu; Ali Kashif Bashir; Ahmad Ali AlZubi; Jinyu Chen; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Netw. Sci. Eng., 2023)

Metagraph-Based Life Pattern Clustering With Big Human Mobility Data. - Wenjing Li 006; Haoran Zhang 002; Jinyu Chen; Peiran Li; Yuhao Yao; Xiaodan Shi; Mariko Shibasaki; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Big Data, 2023)

Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Intell. Transp. Syst., 2023)

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. - Hongjun Wang 007; Jiyuan Chen; Zipei Fan; Zhiwen Zhang 004; Zekun Cai; Xuan Song 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration. - Yuhao Yao; Haoran Zhang 002; Defan Feng; Jinyu Chen; Wenjing Li 006; Ryosuke Shibasaki; Xuan Song 001 (IEEE Trans. Mob. Comput., 2023)

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. - Yongkang Li 002; Zipei Fan; Du Yin; Renhe Jiang; Jinliang Deng; Xuan Song 001 (World Wide Web (WWW), 2023)

Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization. - Mingxin Zhang 002; Zipei Fan; Ryosuke Shibasaki; Xuan Song 001 (IEEE Internet Things J., 2023)

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (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)

Internet of Things Positioning Technology Based Intelligent Delivery System. - Yuhao Yao; Haoran Zhang 002; Lifeng Lin; Guixu Lin; Ryosuke Shibasaki; Xuan Song 001; Keping Yu (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation. - Hongjun Wang 007; Zhiwen Zhang 004; Zipei Fan; Jiyuan Chen; Lingyu Zhang 001; Ryosuke Shibasaki; Xuan Song 001 (IEEE Trans. Knowl. Data Eng., 2023)

PredLife: Predicting Fine-Grained Future Activity Patterns. - Wenjing Li 006; Xiaodan Shi; Dou Huang; Xudong Shen; Jinyu Chen; Hill Hiroki Kobayashi; Haoran Zhang 002; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Big Data, 2023)

LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification. - Yuhao Yao; Haoran Zhang 002; Xiaodan Shi; Jinyu Chen; Wenjing Li 006; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Intell. Transp. Syst., 2023)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. - Du Yin; Jinliang Deng; Shuang Ao; Zechen Li; Hao Xue 001; Arian Prabowo; Renhe Jiang; Xuan Song 001; Flora D. Salim (SIGSPATIAL/GIS, 2024)

HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios. - Hetian Guo; Yingzhi Peng; Zipei Fan; He Zhu; Xuan Song 001 (ICRA, 2024)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. - Jiewen Deng; Renhe Jiang; Jiaqi Zhang; Xuan Song 001 (IJCAI, 2024)

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (IJCAI, 2024)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. - Zheng Dong 006; Renhe Jiang; Haotian Gao; Hangchen Liu; Jinliang Deng; Qingsong Wen; Xuan Song 001 (KDD, 2024)

Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model. - Zhiwen Zhang 004; Zipei Fan; Zewu Lv; Xuan Song 001; Ryosuke Shibasaki (KDD, 2024)

Continuous Temporal Domain Generalization. - Zekun Cai; Guangji Bai; Renhe Jiang; Xuan Song 001; Liang Zhao 002 (NeurIPS, 2024)

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. - Jinliang Deng; Feiyang Ye 001; Du Yin; Xuan Song 001; Ivor W. Tsang; Hui Xiong 001 (NeurIPS, 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)

The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. - Jinliang Deng; Xuan Song 001; Ivor W. Tsang; Hui Xiong 001 (CoRR, 2024)

Robust Traffic Forecasting against Spatial Shift over Years. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification. - Hongjun Wang 007; Jiyuan Chen; Zhengwei Yin; Xuan Song 001; Yinqiang Zheng (CoRR, 2024)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

On Feature Decorrelation in Cloth-Changing Person Re-identification. - Hongjun Wang 007; Jiyuan Chen; Renhe Jiang; Xuan Song 001; Yinqiang Zheng (CoRR, 2024)

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2024)

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. - Jiewen Deng; Jinliang Deng; Du Yin; Renhe Jiang; Xuan Song 001 (ACM Trans. Knowl. Discov. Data, 2024)

Mutual Adaptation: Learning From Prototype for Time-Series Prediction. - Jinyu Chen; Xiaodan Shi; Haoran Zhang 002; Wenjing Li 006; Peiran Li; Yuhao Yao; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Artif. Intell., 2024)

A geometry-driven neural topic model for trip purpose inference. - Jiaqi Zhang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (GeoInformatica, 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)

Hyper-relational knowledge graph neural network for next POI recommendation. - Jixiao Zhang; Yongkang Li 002; Ruotong Zou; Jingyuan Zhang; Renhe Jiang; Zipei Fan; Xuan Song 001 (World Wide Web (WWW), 2024)

MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot. - Jinyu Chen; Xiaodan Shi; Haoran Zhang 002; Wenjing Li 006; Peiran Li; Yuhao Yao; Satoshi Miyazawa; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Neural Networks Learn. Syst., 2024)

TrafPS: A shapley-based visual analytics approach to interpret traffic. - Zezheng Feng; Yifan Jiang; Hongjun Wang 007; Zipei Fan; Yuxin Ma; Shuang-Hua Yang; Huamin Qu; Xuan Song 001 (Comput. Vis. Media, 2024)

A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy. - Dayin Chen; Xiaodan Shi; Haoran Zhang 002; Xuan Song 001; Dongxiao Zhang; Yuntian Chen; Jinyue Yan (IEEE Trans. Mob. Comput., 2024)

GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation. - Peiran Li; Haoran Zhang 002; Wenjing Li 006; Dou Huang; Zhiling Guo; Jinyu Chen; Junxiang Zhang; Xuan Song 001; Pengjun Zhao; Jinyue Yan; Ryosuke Shibasaki; Noboru Koshizuka (Comput. Environ. Urban Syst., 2025)

Assessing the Spatial-Temporal Causal Impact of COVID-19-Related Policies on Epidemic Spread. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (ACM Trans. Knowl. Discov. Data, 2025)

Emergency Management in Japan: Human Decision-Making Strategy Analysis During Large-Scale Earthquake. - Zhiwen Zhang 004; Hongjun Wang 007; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (Trans. GIS, 2025)

Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks. - Yongkang Li 002; Zipei Fan; Xuan Song 001 (ACM Trans. Knowl. Discov. Data, 2025)

AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction. - Zhiwen Zhang 004; Wei Yuan 004; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Knowl. Data Eng., 2025)

Continuous Domain Generalization. - Zekun Cai; Yiheng Yao; Guangji Bai; Renhe Jiang; Xuan Song 001; Ryosuke Shibasaki; Liang Zhao 002 (CoRR, 2025)

DeepTrafficSense: A Dual-Perspective Framework for Road Travel Time Estimation. - Shuangyang Han; Zhihui Li 003; Xianmin Song; Xuan Song 001; Yu Xie; Wenyuan Lei (IEEE Internet Things J., 2025)