2025
Dual-mask: Progressively sparse multi-task architecture learning.
Pattern Recognit., 2025
TS-MAE: A masked autoencoder for time series representation learning.
Inf. Sci., 2025
2024
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.
ACM Trans. Inf. Syst., November, 2024
ShieldTSE: A Privacy-Enhanced Split Federated Learning Framework for Traffic State Estimation in IoV.
IEEE Internet Things J., November, 2024
Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling.
IEEE Trans. Knowl. Data Eng., October, 2024
Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Multi-Faceted Route Representation Learning for Travel Time Estimation.
IEEE Trans. Intell. Transp. Syst., September, 2024
Road Pothole Detection Based on Crowdsourced Data and Extended Mask R-CNN.
IEEE Trans. Intell. Transp. Syst., September, 2024
Dynamic Graph Representation Learning for Passenger Behavior Prediction.
Future Internet, August, 2024
Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection.
IEEE Trans. Knowl. Data Eng., July, 2024
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.
IEEE Trans. Knowl. Data Eng., May, 2024
Continuous-Time User Preference Modelling for Temporal Sets Prediction.
IEEE Trans. Knowl. Data Eng., April, 2024
Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction.
IEEE Trans. Intell. Transp. Syst., March, 2024
MvTS-library: An open library for deep multivariate time series forecasting.
Knowl. Based Syst., January, 2024
Temporal Graph Network for continuous-time dynamic event sequence.
Knowl. Based Syst., 2024
Learning solid dynamics with graph neural network.
Inf. Sci., 2024
A novel autoencoder for structural anomalies detection in river tunnel operation.
Expert Syst. Appl., 2024
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
DyGKT: Dynamic Graph Learning for Knowledge Tracing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
An NCDE-based Framework for Universal Representation Learning of Time Series.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set.
IEEE Trans. Knowl. Data Eng., December, 2023
Generic Dynamic Graph Convolutional Network for traffic flow forecasting.
Inf. Fusion, December, 2023
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification.
IEEE Trans. Knowl. Data Eng., November, 2023
Heterogeneous Graph Representation Learning With Relation Awareness.
IEEE Trans. Knowl. Data Eng., June, 2023
Spatio-Temporal AutoEncoder for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2023
A graph attention fusion network for event-driven traffic speed prediction.
Inf. Sci., April, 2023
Automated urban planning aware spatial hierarchies and human instructions.
Knowl. Inf. Syst., March, 2023
Deep multi-task learning with flexible and compact architecture search.
Int. J. Data Sci. Anal., March, 2023
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.
CoRR, 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation.
CoRR, 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Community-based Dynamic Graph Learning for Popularity Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Continuous-Time Graph Learning for Cascade Popularity Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Decentralized Subgraph Learning for Spatial-Temporal Data Modeling.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Towards a Lightweight Stress Prediction Model: a Study on Dimension Reduction and Individual Models in HRV Analysis.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Predicting Temporal Sets with Simplified Fully Connected Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Multi-Semantic Path Representation Learning for Travel Time Estimation.
IEEE Trans. Intell. Transp. Syst., 2022
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction.
ACM Trans. Intell. Syst. Technol., 2022
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting.
Knowl. Based Syst., 2022
Response Prediction Based on Temporal and Spatial Deep Learning Model for Intelligent Structural Health Monitoring.
IEEE Internet Things J., 2022
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.
CoRR, 2022
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Spatial Semantic Learning for Travel Time Estimation.
Proceedings of the Knowledge Science, Engineering and Management, 2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation.
Proceedings of the IEEE International Conference on Data Mining, 2022
Cross-Domain Few-Shot Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Recent Advances in Cognitive Informatics and Cognitive Computing towards Autonomous Systems (Plenary Panel Report-II of IEEE ICCI*CC'22).
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Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022
2021
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2021
Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., 2021
Deep multi-task learning with relational attention for business success prediction.
Pattern Recognit., 2021
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci., 2021
Deep spatio-temporal graph convolutional network for traffic accident prediction.
Neurocomputing, 2021
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility.
Int. J. Data Sci. Anal., 2021
Landslide susceptibility prediction based on image semantic segmentation.
Comput. Geosci., 2021
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data.
CoRR, 2021
Representation Learning on Knowledge Graphs for Node Importance Estimation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.
IEEE Trans. Intell. Transp. Syst., 2020
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model.
Knowl. Based Syst., 2020
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
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Inf. Sci., 2020
LSTM variants meet graph neural networks for road speed prediction.
Neurocomputing, 2020
A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction.
Eng. Appl. Artif. Intell., 2020
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.
CoRR, 2020
Guaranteeing differential privacy for sequence predictions in bike sharing systems.
Concurr. Comput. Pract. Exp., 2020
Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions.
Appl. Soft Comput., 2020
Sequential Graph Neural Network for Urban Road Traffic Speed Prediction.
IEEE Access, 2020
Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment.
IEEE Access, 2020
Dual Sequential Network for Temporal Sets Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Predicting Temporal Sets with Deep Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Detecting Pickpocket Suspects from Large-Scale Public Transit Records.
IEEE Trans. Knowl. Data Eng., 2019
Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction.
IEEE Trans. Intell. Transp. Syst., 2019
Transit Pattern Detection Using Tensor Factorization.
INFORMS J. Comput., 2019
Passenger Behavior Prediction With Semantic and Multi-Pattern LSTM Model.
IEEE Access, 2019
Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis.
Proceedings of the 2019 IEEE SmartWorld, 2019
Leveraging Graph Neural Network with LSTM For Traffic Speed Prediction.
Proceedings of the 2019 IEEE SmartWorld, 2019
Urban Micro-Circulation Bus Planning Based on Temporal and Spatial Travel Demand.
Proceedings of the 2019 IEEE SmartWorld, 2019
Multiple Relational Attention Network for Multi-task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Spatial Bottleneck Minimum Task Assignment with Time-Delay.
Proceedings of the Database Systems for Advanced Applications, 2019
Predicting Food POI Attractions for Smart Business using Passenger Commuting Patterns.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019
Personalized group of readers' emotion traits modeling based on sentimental analysis of novels.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019
2018
SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations.
ACM Trans. Intell. Syst. Technol., 2018
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2018
An evolvable and transparent data as a service framework for multisource data integration and fusion.
Peer-to-Peer Netw. Appl., 2018
KID Model-Driven Things-Edge-Cloud Computing Paradigm for Traffic Data as a Service.
IEEE Netw., 2018
T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis.
KSII Trans. Internet Inf. Syst., 2018
Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction.
Proceedings of the 2018 IEEE SmartWorld, 2018
Optimization of Bus Lines Based on Passenger Group Moving Behaviors.
Proceedings of the 2018 IEEE SmartWorld, 2018
Graph CNNs for Urban Traffic Passenger Flows Prediction.
Proceedings of the 2018 IEEE SmartWorld, 2018
BDCP: A Framework for Big Data Copyright Protection Based on Digital Watermarking.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018
NTRDM: A New Bus Line Network Optimization Method Based on Taxi Passenger Flow Conversion.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018
SafeTECKS: Protect Data Safety in Things-Edge-Cloud Architecture with Knowledge Sharing.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018
Attentive Crowd Flow Machines.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Demand-Aware Charger Planning for Electric Vehicle Sharing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Anomaly Prediction in Passenger Flow with Knowledge Transfer Method.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
Usage Demand Forecast and Quantity Recommendation for Urban Shared Bicycles.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018
S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors.
Sensors, 2017
Recovering Individual's Commute Routes Based on Mobile Phone Data.
Mob. Inf. Syst., 2017
Finding Optimal Team for Multiskill Task Based on Vehicle Sensors Data.
J. Sensors, 2017
Spatiotemporal multi-task learning for citywide passenger flow prediction.
Proceedings of the 2017 IEEE SmartWorld, 2017
Forecasting car rental demand based temporal and spatial travel patterns.
Proceedings of the 2017 IEEE SmartWorld, 2017
Finding Optimal Team for Multi-skill Task in Spatial Crowdsourcing.
Proceedings of the Web and Big Data, 2017
2016
Structure Sensitive Hashing With Adaptive Product Quantization.
IEEE Trans. Cybern., 2016
Active CTDaaS: A Data Service Framework Based on Transparent IoD in City Traffic.
IEEE Trans. Computers, 2016
Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2013
H<sub>∞</sub>-Based Pinning Synchronization of General Complex Dynamical Networks with Coupling Delays.
J. Appl. Math., 2013
Understand Group Travel Behaviors in an Urban Area Using Mobility Pattern Mining.
Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013
A Human Trajectory Estimate Based on Individual Mobility Pattern Library.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
2012
Travel patterns analysis of urban residents using Automated Fare Collection System.
Proceedings of the 12th International Conference on ITS Telecommunications, 2012
The identification of traffic flow based on edge symmetry.
Proceedings of the 12th International Conference on ITS Telecommunications, 2012
RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information.
Proceedings of the 2012 International Conference on Connected Vehicles and Expo, 2012
2010
Applied research of data sensing and service to ubiquitous intelligent transportation system.
Frontiers Comput. Sci. China, 2010
An Efficient Algorithm to Estimate Real-time Traffic Information based on Multiple Data Sources.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
2009
An FCD Information Processing Model under Traffic Signal Control.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
2008
Missing Data Compensation Model in Real-Time Traffic Information Service System.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008