Xuan Song
Orcid: 0000-0003-4042-7888Affiliations:
- Southern University of Science and Technology, SUSTech, UTokyo Joint Research Center on Super Smart City, Research Institute of Trustworthy Autonomous Systems, Department of Computer Science and Engineering, Japan
- University of Tokyo, Japan
According to our database1,
Xuan Song
authored at least 151 papers
between 2008 and 2024.
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Bibliography
2024
A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy.
IEEE Trans. Mob. Comput., December, 2024
Comput. Vis. Media, December, 2024
MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
World Wide Web (WWW), July, 2024
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput., May, 2024
GeoInformatica, April, 2024
IEEE Trans. Artif. Intell., March, 2024
ACM Trans. Knowl. Discov. Data, January, 2024
CoRR, 2024
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification.
CoRR, 2024
CoRR, 2024
The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting.
CoRR, 2024
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.
Artif. Intell., 2024
Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
2023
IEEE Trans. Intell. Transp. Syst., December, 2023
IEEE Trans. Big Data, December, 2023
IEEE Trans. Knowl. Data Eng., November, 2023
IEEE Trans. Intell. Transp. Syst., November, 2023
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
IEEE Trans. Vis. Comput. Graph., August, 2023
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., August, 2023
Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization.
IEEE Internet Things J., August, 2023
World Wide Web (WWW), July, 2023
Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration.
IEEE Trans. Mob. Comput., July, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory.
IEEE Trans. Intell. Transp. Syst., May, 2023
IEEE Trans. Big Data, February, 2023
IIoT Based Trustworthy Demographic Dynamics Tracking With Advanced Bayesian Learning.
IEEE Trans. Netw. Sci. Eng., 2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Intell. Transp. Syst., 2023
IEEE Internet Things J., 2023
GeoInformatica, 2023
ACM Comput. Surv., 2023
CoRR, 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
CoRR, 2023
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility.
CoRR, 2023
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
IEEE Trans. Big Data, 2022
IEEE Internet Things J., 2022
Phone-based Ambient Temperature Measurement with a New Confidence-based Truth Inference Model.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Will you go where you search? A deep learning framework for estimating user search-and-go behavior.
Neurocomputing, 2022
Frontiers Comput. Sci., 2022
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Exploring intercity regional similarity using worldwide location-based social network data (demo paper).
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data, 2021
Trans. Data Sci., 2021
FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction.
Sensors, 2021
CoRR, 2021
CCF Trans. Pervasive Comput. Interact., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
ACM SIGSPATIAL Special, 2020
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping.
Remote. Sens., 2020
Trajectory fingerprint: one-shot human trajectory identification using Siamese network.
CCF Trans. Pervasive Comput. Interact., 2020
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk.
Proceedings of the Web and Wireless Geographical Information Systems, 2020
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2019
Guest editorial: special issue on big data for effective disaster management (In Memorial of Tao Li).
World Wide Web, 2019
Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images.
Sensors, 2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Integrating GPS trajectory and topics from Twitter stream for human mobility estimation.
Frontiers Comput. Sci., 2019
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR, 2019
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events.
IEEE Trans. Multim., 2018
ACM SIGSPATIAL Special, 2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018
A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data.
ACM Trans. Inf. Syst., 2017
ACM Trans. Intell. Syst. Technol., 2017
Outbound behavior analysis through social network data: A case study of Chinese people in Japan.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Particle filter for real-time human mobility prediction following unprecedented disaster.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
ACM Trans. Intell. Syst. Technol., 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Prediction of human emergency behavior and their mobility following large-scale disaster.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Start from minimum labeling: Learning of 3D object models and point labeling from a large and complex environment.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
An online system for multiple interacting targets tracking: Fusion of laser and vision, tracking and learning.
ACM Trans. Intell. Syst. Technol., 2013
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection.
ACM Trans. Intell. Syst. Technol., 2013
A novel dynamic model for multiple pedestrians tracking in extremely crowded scenarios.
Inf. Fusion, 2013
Neurocomputing, 2013
Neurocomputing, 2013
Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters.
IEEE Intell. Syst., 2013
Modeling and probabilistic reasoning of population evacuation during large-scale disaster.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Unsupervised 3D category discovery and point labeling from a large urban environment.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Laser-based intelligent surveillance and abnormality detection in extremely crowded scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
An online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Proceedings of the Robotics Research - The 14th International Symposium, 2009
2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
Proceedings of the Computer Vision, 2008
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008