Leilei Sun

Orcid: 0000-0002-0157-1716

According to our database1, Leilei Sun authored at least 112 papers between 2013 and 2025.

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Bibliography

2025
Dual-mask: Progressively sparse multi-task architecture learning.
Pattern Recognit., 2025

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

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

Exploring Urbanization Strategies by Dissecting Aggregate Crowd Behaviors: A Case Study in China.
Syst., 2024

MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting.
Knowl. Based Syst., 2024

Temporal Graph Network for continuous-time dynamic event sequence.
Knowl. Based Syst., 2024

Learning solid dynamics with graph neural network.
Inf. Sci., 2024

Temporal-aware structure-semantic-coupled graph network for traffic forecasting.
Inf. Fusion, 2024

Improving Temporal Link Prediction via Temporal Walk Matrix Projection.
CoRR, 2024

Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence.
CoRR, 2024

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2024

MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

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

Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields.
IEEE Trans. Knowl. Data Eng., September, 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

Graph-Based Embedding Smoothing for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2023

Embedding Disentanglement in Graph Convolutional Networks for Recommendation.
IEEE Trans. Knowl. Data Eng., 2023

Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing.
CoRR, 2023

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling.
CoRR, 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

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 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

Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Sampling Spatial-Temporal Attention Network for Traffic Forecasting.
Proceedings of the Knowledge Science, Engineering and Management, 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

PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.
Proceedings of the IEEE International Conference on Data Mining, 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

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.
IEEE Trans. Knowl. Data Eng., 2022

Taxi Demand Prediction Using Parallel Multi-Task Learning Model.
IEEE Trans. Intell. Transp. Syst., 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

Heterogeneous academic network embedding based multivariate random-walk model for predicting scientific impact.
Appl. Intell., 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

Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Exploiting Global and Local Hierarchies for Hierarchical Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Automatic Treatment Regimen Design.
IEEE Trans. Knowl. Data Eng., 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

Deep Heterogeneous Network for Temporal Set Prediction.
Knowl. Based Syst., 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

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

A fusion framework to extract typical treatment patterns from electronic medical records.
Artif. Intell. Medicine, 2020

Abnormal Trajectory Detection Based on Geospatial Consistent Modeling.
IEEE Access, 2020

Fast Clustering by Affinity Propagation Based on Density Peaks.
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

Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Temporal Knowledge Graph Incremental Construction Model for Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

High Order Semantic Relations-Based Temporal Recommendation Model by Collaborative Knowledge Graph Learning.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction.
IEEE Trans. Intell. Transp. Syst., 2019

CCODM: conditional co-occurrence degree matrix document representation method.
Soft Comput., 2019

Unsupervised EEG feature extraction based on echo state network.
Inf. Sci., 2019

CCSMR: A Combinatorial Category Space-Based Model for Recommendation.
IEEE Access, 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

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

2018
A data-driven framework of typical treatment process extraction and evaluation.
J. Biomed. Informatics, 2018

A Treatment Engine by Predicting Next-Period Prescriptions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Efficient Clustering Algorithm Based on Grid Density and its Application in Human Mobility Analysis.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

2017
Fast affinity propagation clustering based on incomplete similarity matrix.
Knowl. Inf. Syst., 2017

Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets.
Comput. Ind. Eng., 2017

A Data-driven Process Recommender Framework.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Data-driven Automatic Treatment Regimen Development and Recommendation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Characterizing the life cycle of point of interests using human mobility patterns.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2014
Incremental Affinity Propagation Clustering Based on Message Passing.
IEEE Trans. Knowl. Data Eng., 2014

2013
High Points Recognition Method of Scraped Surface Based on Background Subtraction.
J. Digit. Inf. Manag., 2013


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