Jie Du

Orcid: 0000-0003-1518-436X

Affiliations:
  • Shenzhen University, School of Biomedical Engineering, Health Science Center, China
  • University of Macau, Department of Computer and Information Science, China


According to our database1, Jie Du authored at least 31 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, August, 2023

A novel sequential structure for lightweight multi-scale feature learning under limited available images.
Neural Networks, July, 2023

Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation.
IEEE J. Biomed. Health Informatics, February, 2023

2022
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022

Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
Medical Image Anal., 2022

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation.
Biomed. Signal Process. Control., 2022

2021
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification.
IEEE Trans. Medical Imaging, 2021

Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification.
IEEE Trans. Cybern., 2021

Cross-attention multi-branch network for fundus diseases classification using SLO images.
Medical Image Anal., 2021

Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography.
Medical Image Anal., 2021

Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification.
CoRR, 2021

Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion.
Appl. Soft Comput., 2021

Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Multi-modal Broad Learning System for Medical Image and Text-based Classification.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels.
IEEE Trans. Cybern., 2020

Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data.
Neural Networks, 2020

Skin lesion segmentation via generative adversarial networks with dual discriminators.
Medical Image Anal., 2020

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Medical Image Anal., 2020

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal., 2020

AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation.
IEEE Access, 2020

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning.
IEEE Access, 2020

HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Multi-task learning for quality assessment of fetal head ultrasound images.
Medical Image Anal., 2019

Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Post-boosting of classification boundary for imbalanced data using geometric mean.
Neural Networks, 2017


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