Xuan Song

Orcid: 0000-0003-4042-7888

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

TrafPS: A shapley-based visual analytics approach to interpret traffic.
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

Hyper-relational knowledge graph neural network for next POI recommendation.
World Wide Web (WWW), July, 2024

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput., May, 2024

A geometry-driven neural topic model for trip purpose inference.
GeoInformatica, April, 2024

Mutual Adaptation: Learning From Prototype for Time-Series Prediction.
IEEE Trans. Artif. Intell., March, 2024

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.
ACM Trans. Knowl. Discov. Data, January, 2024

On Feature Decorrelation in Cloth-Changing Person Re-identification.
CoRR, 2024

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.
CoRR, 2024

Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification.
CoRR, 2024

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.
CoRR, 2024

Robust Traffic Forecasting against Spatial Shift over Years.
CoRR, 2024

Continuous Temporal Domain Generalization.
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

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning.
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
LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification.
IEEE Trans. Intell. Transp. Syst., December, 2023

PredLife: Predicting Fine-Grained Future Activity Patterns.
IEEE Trans. Big Data, December, 2023

Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation.
IEEE Trans. Knowl. Data Eng., November, 2023

Internet of Things Positioning Technology Based Intelligent Delivery System.
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

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.
World Wide Web (WWW), July, 2023

Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration.
IEEE Trans. Mob. Comput., July, 2023

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.
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

Metagraph-Based Life Pattern Clustering With Big Human Mobility Data.
IEEE Trans. Big Data, February, 2023

IIoT Based Trustworthy Demographic Dynamics Tracking With Advanced Bayesian Learning.
IEEE Trans. Netw. Sci. Eng., 2023

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Trans. Knowl. Data Eng., 2023

Mobility Tableau: Human Mobility Similarity Measurement for City Dynamics.
IEEE Trans. Intell. Transp. Syst., 2023

Discovering Key Sub-Trajectories to Explain Traffic Prediction.
Sensors, 2023

Enhancing Trajectory Recovery From Gradients via Mobility Prior Knowledge.
IEEE Internet Things J., 2023

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.
GeoInformatica, 2023

A Survey on Data-driven COVID-19 and Future Pandemic Management.
ACM Comput. Surv., 2023

Learning to Generate Pseudo Personal Mobility.
CoRR, 2023

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting.
CoRR, 2023

Hyper-Relational Knowledge Graph Neural Network for Next POI.
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

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation.
CoRR, 2023

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster.
Proceedings of the ACM Web Conference 2023, 2023

Towards an Event-Aware Urban Mobility Prediction System.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction.
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

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning.
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

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Trans. Intell. Syst. Technol., 2022

Big Data and Emergency Management: Concepts, Methodologies, and Applications.
IEEE Trans. Big Data, 2022

GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation.
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

Challenges and future directions of secure federated learning: a survey.
Frontiers Comput. Sci., 2022

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley.
CoRR, 2022

Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.
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

Online trajectory prediction for metropolitan scale mobility digital twin.
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

A Geomagnetic Sensor Dataset for Traffic Flow Prediction.
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

The Impact of COVID-19 on Human Mobility: A Case Study on New York.
Proceedings of the IEEE International Conference on Big Data, 2022

Learning Latent Road Correlations from Trajectories.
Proceedings of the IEEE International Conference on Big Data, 2022

Event-Aware Multimodal Mobility Nowcasting.
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

Transfer Urban Human Mobility via POI Embedding over Multiple Cities.
Trans. Data Sci., 2021

FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction.
Sensors, 2021

Differentiable Projection for Constrained Deep Learning.
CoRR, 2021

An open GPS trajectory dataset and benchmark for travel mode detection.
CoRR, 2021

Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison.
CoRR, 2021

Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data.
CoRR, 2021

Small World Model for scaling up prediction result based on SEIR model.
CoRR, 2021

Data-driven hospital personnel scheduling optimization through patients prediction.
CCF Trans. Pervasive Comput. Interact., 2021

Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.
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

Data-Driven In-Crisis Community Identification for Disaster Response and Management.
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

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Human mobility based individual-level epidemic simulation platform.
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

Decentralized Attention-based Personalized Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Integrating GPS trajectory and topics from Twitter stream for human mobility estimation.
Frontiers Comput. Sci., 2019

Visual graph mining for graph matching.
Comput. Vis. Image Underst., 2019

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR, 2019

A Variational Autoencoder Based Generative Model of Urban Human Mobility.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multiple Instance Learning for Human Trajectory Identification.
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

Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018.
ACM SIGSPATIAL Special, 2018

Deep ROI-Based Modeling for Urban Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Online Deep Ensemble Learning for Predicting Citywide Human Mobility.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

DeepRailway: A Deep Learning System for Forecasting Railway Traffic.
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

Prediction and Simulation of Human Mobility Following Natural Disasters.
ACM Trans. Intell. Syst. Technol., 2017

Visual Graph Mining.
CoRR, 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
Object Discovery: Soft Attributed Graph Mining.
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

CityCoupling: bridging intercity human mobility.
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
From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models.
ACM Trans. Intell. Syst. Technol., 2015

CityMomentum: an online approach for crowd behavior prediction at a citywide level.
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

CitySpectrum: a non-negative tensor factorization approach.
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

When 3D Reconstruction Meets Ubiquitous RGB-D Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Intelligent System for Urban Emergency Management during Large-Scale Disaster.
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

Unsupervised skeleton extraction and motion capture from 3D deformable matching.
Neurocomputing, 2013

Laser-based tracking of multiple interacting pedestrians via on-line learning.
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

Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes.
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
Fusion of laser and vision for multiple targets tracking via on-line learning.
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
Combining Laser-Scanning Data and Images for Target Tracking and Scene Modeling.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

2008
Tracking interacting targets with laser scanner via on-line supervised learning.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning.
Proceedings of the Computer Vision, 2008

Probabilistic Detection-based Particle Filter for Multi-target Tracking.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008


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