Shengdong Du

According to our database, Shengdong Du authored at least 42 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Juan Chen, Jie Hu, Tianrui Li, Fei Teng, Shengdong Du

Expert Syst. Appl., March, 2024

2023

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

Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang

Appl. Intell., November, 2023

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

Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang

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

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

Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du

Knowl. Based Syst., October, 2023

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

Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Shengdong Du

Appl. Intell., October, 2023

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

Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du

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

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

Ji Huang, Minbo Ma, Yongsheng Dai, Jie Hu, Shengdong Du

Hum. Centric Intell. Syst., September, 2023

A contrastive learning based universal representation for time series forecasting.

Jie Hu, Zhanao Hu, Tianrui Li, Shengdong Du

Inf. Sci., July, 2023

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction.

Wenwen Liu, Jie Hu, Shengdong Du, Hongmei Chen, Fei Teng

Neural Process. Lett., February, 2023

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

Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang

IEEE Trans. Knowl. Data Eng., 2023

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

Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li

CoRR, 2023

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

Chenbing Li, Jie Hu, Tianrui Li, Shengdong Du, Fei Teng

Appl. Intell., 2023

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

Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du

Artif. Intell. Rev., 2023

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

Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du

Artif. Intell. Rev., 2023

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

Yunxiao Shi, Zeng Yu, Tianrui Li, Shengdong Du, Yeyiran Jing

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.

Xiong Liao, Meng Liao, Andi Guo, Xinran Luo, Ziwei Li, Weiyuan Chen, Tianrui Li, Shengdong Du, Zhen Jia

Hum. Centric Intell. Syst., June, 2022

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

Dan Huang, Jie Hu, Tianrui Li, Shengdong Du, Hongmei Chen

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

Deep linear graph attention model for attributed graph clustering.

Huifa Liao, Jie Hu, Tianrui Li, Shengdong Du, Bo Peng

Knowl. Based Syst., 2022

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

Fei Teng, Jian Teng, Lu Qiao, Shengdong Du, Tianrui Li

Inf. Sci., 2022

Fairness and accuracy in horizontal federated learning.

Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang

Inf. Sci., 2022

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

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du

Inf. Fusion, 2022

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

Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia

CoRR, 2022

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

Benhan Li, Shengdong Du, Tianrui Li

CoRR, 2022

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting.

Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework.

Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng

IEEE Trans. Knowl. Data Eng., 2021

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

Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng

Inf. Fusion, 2021

K-Means Clustering with Fairness Constraints.

Weiting Xu, Jie Hu, Shengdong Du, Yan Yang

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.

Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang

Inf. Fusion, 2020

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

Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang

Inf. Fusion, 2020

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

Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng

Neurocomputing, 2020

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

Shengdong Du, Tianrui Li, Xun Gong, Shi-Jinn Horng

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

Fairness and Accuracy in Federated Learning.

Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang

CoRR, 2020

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

Lei Yu, Fei Teng, Shangming Ning, Yunshu Li, Zhe Cui, Shengdong Du

Concurr. Comput. Pract. Exp., 2020

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

Guanlin Zhai, Yan Yang, Heng Wang, Shengdong Du

Big Data Min. Anal., 2020

2019

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

Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang

CoRR, 2019

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

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.

Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

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

Shengdong Du, Tianrui Li, Xun Gong, Zeng Yu, Shi-Jinn Horng

CoRR, 2018

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

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.

Shangming Ning, Fei Teng, Yunshu Li, Zhe Cui, Lei Yu, Shengdong Du

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

2017

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

Xun Gong, Xinxin Li, Shengdong Du, Yang Zhao

Proceedings of the Rough Sets - International Joint Conference, 2017

Traffic flow forecasting based on hybrid deep learning framework.

Shengdong Du, Tianrui Li, Xun Gong, Yan Yang, Shi-Jinn Horng

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