Bowen Du

Orcid: 0000-0002-6297-5212

Affiliations:

Beihang University, SKLSDE, BDBC, Beijing, China
Beihang University, School of Computer Science and Engineering, Beijing, China (PhD 2013)
University of Central Florida, Department of Computer Science, OL, USA

According to our database¹, Bowen Du authored at least 125 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

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

[BibT_eX]

[DOI]

Pattern Recognit., 2025

2024

ShieldTSE: A Privacy-Enhanced Split Federated Learning Framework for Traffic State Estimation in IoV.

[BibT_eX]

[DOI]

IEEE Internet Things J., November, 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

Road Pothole Detection Based on Crowdsourced Data and Extended Mask R-CNN.

[BibT_eX]

[DOI]

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

Dynamic Graph Representation Learning for Passenger Behavior Prediction.

[BibT_eX]

[DOI]

Future Internet, August, 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

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

A novel autoencoder for structural anomalies detection in river tunnel operation.

[BibT_eX]

[DOI]

Xu-Yan Tan

Shivakumara Palaiahnakote

Weizhong Chen

Ke Cheng

Bowen Du

Expert Syst. Appl., 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

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.

[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

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

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

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

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

Decentralized Subgraph Learning for Spatial-Temporal Data Modeling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 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

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

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

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

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Cross-Domain Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 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

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.

[BibT_eX]

[DOI]

Inf. Sci., 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

2020

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.

[BibT_eX]

[DOI]

Bowen Du

Hao Peng

Senzhang Wang

Md. Zakirul Alam Bhuiyan

IEEE Trans. Intell. Transp. Syst., 2020

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.

[BibT_eX]

[DOI]

Hao Peng

Hongfei Wang

Bowen Du

Md. Zakirul Alam Bhuiyan

Inf. Sci., 2020

LSTM variants meet graph neural networks for road speed prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 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

Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Sequential Graph Neural Network for Urban Road Traffic Speed Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2020

Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment.

[BibT_eX]

[DOI]

Md. Zakirul Alam Bhuiyan

Hao Peng

Bowen Du

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

2019

Detecting Pickpocket Suspects from Large-Scale Public Transit Records.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 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

Transit Pattern Detection Using Tensor Factorization.

[BibT_eX]

[DOI]

INFORMS J. Comput., 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

Leveraging Graph Neural Network with LSTM For Traffic Speed Prediction.

[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

Spatial Bottleneck Minimum Task Assignment with Time-Delay.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Predicting Food POI Attractions for Smart Business using Passenger Commuting Patterns.

[BibT_eX]

[DOI]

Syed Muhammad Asim Ali Rizvi

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Personalized group of readers' emotion traits modeling based on sentimental analysis of novels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2018

An evolvable and transparent data as a service framework for multisource data integration and fusion.

[BibT_eX]

[DOI]

Peer-to-Peer Netw. Appl., 2018

KID Model-Driven Things-Edge-Cloud Computing Paradigm for Traffic Data as a Service.

[BibT_eX]

[DOI]

IEEE Netw., 2018

T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis.

[BibT_eX]

[DOI]

KSII Trans. Internet Inf. Syst., 2018

Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction.

[BibT_eX]

[DOI]

Md. Zakirul Alam Bhuiyan

Yuntao Long

Da Li

Proceedings of the 2018 IEEE SmartWorld, 2018

Optimization of Bus Lines Based on Passenger Group Moving Behaviors.

[BibT_eX]

[DOI]

Syed Muhammad Asim Ali Rizvi

Proceedings of the 2018 IEEE SmartWorld, 2018

Graph CNNs for Urban Traffic Passenger Flows Prediction.

[BibT_eX]

[DOI]

Md. Zakirul Alam Bhuiyan

Proceedings of the 2018 IEEE SmartWorld, 2018

BDCP: A Framework for Big Data Copyright Protection Based on Digital Watermarking.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

Attentive Crowd Flow Machines.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Demand-Aware Charger Planning for Electric Vehicle Sharing.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Anomaly Prediction in Passenger Flow with Knowledge Transfer Method.

[BibT_eX]

[DOI]

Zhipu Xie

Weifeng Lv

Syed Muhammad Asim Ali

Bowen Du

Runhe Huang

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Usage Demand Forecast and Quantity Recommendation for Urban Shared Bicycles.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors.

[BibT_eX]

[DOI]

Sensors, 2017

Recovering Individual's Commute Routes Based on Mobile Phone Data.

[BibT_eX]

[DOI]

Mob. Inf. Syst., 2017

Finding Optimal Team for Multiskill Task Based on Vehicle Sensors Data.

[BibT_eX]

[DOI]

J. Sensors, 2017

Spatiotemporal multi-task learning for citywide passenger flow prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE SmartWorld, 2017

Forecasting car rental demand based temporal and spatial travel patterns.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE SmartWorld, 2017

Finding Optimal Team for Multi-skill Task in Spatial Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data, 2017

2016

Structure Sensitive Hashing With Adaptive Product Quantization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Active CTDaaS: A Data Service Framework Based on Transparent IoD in City Traffic.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2016

Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bowen Du

Dianfu Ma

J. Appl. Math., 2013

Understand Group Travel Behaviors in an Urban Area Using Mobility Pattern Mining.

[BibT_eX]

[DOI]

Bowen Du

Yang Yang

Weifeng Lv

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.

[BibT_eX]

[DOI]

Yang Yang

Bowen Du

Xiao Jiang

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.

[BibT_eX]

[DOI]

Man Li

Bowen Du

Jian Huang

Proceedings of the 12th International Conference on ITS Telecommunications, 2012

The identification of traffic flow based on edge symmetry.

[BibT_eX]

[DOI]

Jingjing Chi

Jian Huang

Bowen Du

Proceedings of the 12th International Conference on ITS Telecommunications, 2012

RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information.

[BibT_eX]

[DOI]

Tongyu Zhu

Jianjun Yu

Bowen Du

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.

[BibT_eX]

[DOI]

Frontiers Comput. Sci. China, 2010

An Efficient Algorithm to Estimate Real-time Traffic Information based on Multiple Data Sources.

[BibT_eX]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Bowen Du

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