Leilei Sun

Orcid: 0000-0002-0157-1716

According to our database¹, Leilei Sun authored at least 113 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Dual-mask: Progressively sparse multi-task architecture learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

TS-MAE: A masked autoencoder for time series representation learning.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Multi-Faceted Route Representation Learning for Travel Time Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., September, 2024

Hierarchical Context Representation and Self-Adaptive Thresholding for Multivariate Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2024

Continuous-Time User Preference Modelling for Temporal Sets Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., March, 2024

MvTS-library: An open library for deep multivariate time series forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., January, 2024

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

[BibT_eX]

[DOI]

Syst., 2024

MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Temporal Graph Network for continuous-time dynamic event sequence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Learning solid dynamics with graph neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Temporal-aware structure-semantic-coupled graph network for traffic forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Improving Temporal Link Prediction via Temporal Walk Matrix Projection.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2024

MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DyGKT: Dynamic Graph Learning for Knowledge Tracing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Generic Dynamic Graph Convolutional Network for traffic flow forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Heterogeneous Graph Representation Learning With Relation Awareness.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Spatio-Temporal AutoEncoder for Traffic Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., May, 2023

A graph attention fusion network for event-driven traffic speed prediction.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Automated urban planning aware spatial hierarchies and human instructions.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., March, 2023

Deep multi-task learning with flexible and compact architecture search.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., March, 2023

Graph-Based Embedding Smoothing for Sequential Recommendation.

[BibT_eX]

[DOI]

Tianyu Zhu

Leilei Sun

Guoqing Chen

IEEE Trans. Knowl. Data Eng., 2023

Embedding Disentanglement in Graph Convolutional Networks for Recommendation.

[BibT_eX]

[DOI]

Tianyu Zhu

Leilei Sun

Guoqing Chen

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.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Towards Better Dynamic Graph Learning: New Architecture and Unified Library.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2023

Sampling Spatial-Temporal Attention Network for Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2023

Community-based Dynamic Graph Learning for Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Continuous-Time Graph Learning for Cascade Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Pretraining Language Models with Text-Attributed Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Predicting Temporal Sets with Simplified Fully Connected Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Taxi Demand Prediction Using Parallel Multi-Task Learning Model.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Multi-Semantic Path Representation Learning for Travel Time Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Adaptive Spatio-temporal Graph Neural Network for traffic forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Response Prediction Based on Temporal and Spatial Deep Learning Model for Intelligent Structural Health Monitoring.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Appl. Intell., 2022

Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Spatial Semantic Learning for Travel Time Estimation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2022

Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Exploiting Global and Local Hierarchies for Hierarchical Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Automatic Treatment Regimen Design.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Deep multi-task learning with relational attention for business success prediction.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Deep Heterogeneous Network for Temporal Set Prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Deep spatio-temporal graph convolutional network for traffic accident prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Modelling the epidemic dynamics of COVID-19 with consideration of human mobility.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2021

Landslide susceptibility prediction based on image semantic segmentation.

[BibT_eX]

[DOI]

Comput. Geosci., 2021

Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Learning on Knowledge Graphs for Node Importance Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence.

[BibT_eX]

[DOI]

Mingzhe Liu

Bowen Du

Leilei Sun

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Guaranteeing differential privacy for sequence predictions in bike sharing systems.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

A fusion framework to extract typical treatment patterns from electronic medical records.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2020

Abnormal Trajectory Detection Based on Geospatial Consistent Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2020

Fast Clustering by Affinity Propagation Based on Density Peaks.

[BibT_eX]

[DOI]

Yang Li

Chonghui Guo

Leilei Sun

IEEE Access, 2020

Dual Sequential Network for Temporal Sets Prediction.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Predicting Temporal Sets with Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mahshad Mahdavi

Leilei Sun

Richard Zanibbi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Temporal Knowledge Graph Incremental Construction Model for Recommendation.

[BibT_eX]

[DOI]

Chunjing Xiao

Leilei Sun

Wanlin Ji

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.

[BibT_eX]

[DOI]

Yongwei Qiao

Leilei Sun

Chunjing Xiao

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.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

CCODM: conditional co-occurrence degree matrix document representation method.

[BibT_eX]

[DOI]

Soft Comput., 2019

Unsupervised EEG feature extraction based on echo state network.

[BibT_eX]

[DOI]

Inf. Sci., 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

Passenger Behavior Prediction With Semantic and Multi-Pattern LSTM Model.

[BibT_eX]

[DOI]

IEEE Access, 2019

Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE SmartWorld, 2019

Urban Micro-Circulation Bus Planning Based on Temporal and Spatial Travel Demand.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE SmartWorld, 2019

Multiple Relational Attention Network for Multi-task Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2018

A Treatment Engine by Predicting Next-Period Prescriptions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

2017

Fast affinity propagation clustering based on incomplete similarity matrix.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2017

A Data-driven Process Recommender Framework.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2014

Incremental Affinity Propagation Clustering Based on Message Passing.

[BibT_eX]

[DOI]

Leilei Sun

Chonghui Guo

IEEE Trans. Knowl. Data Eng., 2014

2013

High Points Recognition Method of Scraped Surface Based on Background Subtraction.

[BibT_eX]

[DOI]

Xiaopeng Li

Leilei Sun

Yonghong Liu

J. Digit. Inf. Manag., 2013

Leilei Sun

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...