Shengdong Du

Orcid: 0000-0001-8035-405X

According to our database¹, Shengdong Du authored at least 45 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2024

An effective relation-first detection model for relational triple extraction.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

A knowledge graph completion model based on triple level interaction and contrastive learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

2023

A missing value filling model based on feature fusion enhanced autoencoder.

[BibT_eX]

[DOI]

Appl. Intell., November, 2023

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.

[BibT_eX]

[DOI]

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

Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., October, 2023

Multi-view subspace clustering for learning joint representation via low-rank sparse representation.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Text semantic matching with an enhanced sample building method based on contrastive learning.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2023

DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Hum. Centric Intell. Syst., September, 2023

A contrastive learning based universal representation for time series forecasting.

[BibT_eX]

[DOI]

Inf. Sci., July, 2023

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction.

[BibT_eX]

[DOI]

Neural Process. Lett., February, 2023

Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

A Pre-trained Data Deduplication Model based on Active Learning.

[BibT_eX]

[DOI]

CoRR, 2023

An effective multi-task learning model for end-to-end emotion-cause pair extraction.

[BibT_eX]

[DOI]

Appl. Intell., 2023

Correction to: Deep learning on multi-view sequential data: a survey.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2023

Deep learning on multi-view sequential data: a survey.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2023

A Parted-based Method for Unsupervised Visible-Infrared Re-identification.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation.

[BibT_eX]

[DOI]

Hum. Centric Intell. Syst., June, 2022

Consistency regularization for deep semi-supervised clustering with pairwise constraints.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Deep linear graph attention model for attributed graph clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A multi-step forecasting model of online car-hailing demand.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Fairness and accuracy in horizontal federated learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Benhan Li

Shengdong Du

Tianrui Li

CoRR, 2022

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

K-Means Clustering with Fairness Constraints.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

Urban flow prediction from spatiotemporal data using machine learning: A survey.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Urban big data fusion based on deep learning: An overview.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Multivariate time series forecasting via attention-based encoder-decoder framework.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2020

Fairness and Accuracy in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A two steps method of resources utilization predication for large Hadoop data center.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

Multi-attention fusion modeling for sentiment analysis of educational big data.

[BibT_eX]

[DOI]

Big Data Min. Anal., 2020

2019

Urban flows prediction from spatial-temporal data using machine learning: A survey.

[BibT_eX]

[DOI]

CoRR, 2019

TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction.

[BibT_eX]

[DOI]

Lei Zhu

Tianrui Li

Shengdong Du

Proceedings of the International Joint Conference on Neural Networks, 2019

An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework.

[BibT_eX]

[DOI]

Shengdong Du

Tianrui Li

Shi-Jinn Horng

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

RUPredHadoop: Resources Utilization Predictor for Hadoop with Large-Scale Clusters.

[BibT_eX]

[DOI]

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

iPDO: An Effective Feature Depth Estimation Method for 3D Face Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

Traffic flow forecasting based on hybrid deep learning framework.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Shengdong Du

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