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ORCIDJie Du 0001
Person information
- affiliation: Shenzhen University, School of Biomedical Engineering, Health Science Center, China
- affiliation: University of Macau, Department of Computer and Information Science, China
Other persons with the same name
- Jie Du — disambiguation page
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Journal Articles
- 2024
[j30]Jie Du
, Wei Li, Peng Liu, Chi-Man Vong, Yongke You, Baiying Lei, Tianfu Wang:
Federated learning using model projection for multi-center disease diagnosis with non-IID data. Neural Networks 178: 106409 (2024)- [j29]Yuanman Li, Minhua Liu, Jinyu Tian, Jie Du, Xia Li:
Operation History Estimation and Its Application to Multi-Degraded Image Restoration. IEEE Trans. Consumer Electron. 70(1): 863-875 (2024) - [j28]Jie Du, Chuyang Chen, Yuanman Li, Yaolin Zhu, Peng Liu, Tianfu Wang:
SMOD: An Accurate and Efficient Segmentation-Based Medical Object Detector. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4106-4118 (2024) - [j27]Guanghui Yue, Shangjie Wu, Jie Du, Tianwei Zhou, Bin Jiang, Tianfu Wang:
Adaptive Context Aggregation Network With Prediction-Aware Decoding for Multimodal Brain Tumor Segmentation. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j26]Jie Du, Peng Liu, Chi-Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen:
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11332-11345 (2024) - [j25]Jie Du, Xiaoci Zhang, Peng Liu, Chi-Man Vong, Tianfu Wang:
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15372-15386 (2024) - [j24]Yuanman Li, Ce Xie, Rongqin Liang, Jie Du, Jiantao Zhou, Xia Li:
A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction. IEEE Trans. Netw. Sci. Eng. 11(1): 793-806 (2024) - 2023
- [j23]Peng Liu, Jie Du, Chi-Man Vong:
A novel sequential structure for lightweight multi-scale feature learning under limited available images. Neural Networks 164: 124-134 (2023) - [j22]Jie Du, Kai Guan, Yanhong Zhou, Yuanman Li, Tianfu Wang:
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 845-857 (2023) - [j21]Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang:
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. IEEE J. Biomed. Health Informatics 27(2): 992-1003 (2023) - [j20]Jie Du, Xiaoci Zhang, Peng Liu, Tianfu Wang:
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(8): 3970-3981 (2023) - [j19]Jie Du, Yanhong Zhou, Peng Liu, Chi-Man Vong, Tianfu Wang:
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3234-3240 (2023) - 2022
- [j18]Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang:
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73: 103442 (2022) - [j17]Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, Aocai Yang, Kuan Lv, Guolin Ma, Baiying Lei:
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. Medical Image Anal. 79: 102467 (2022) - [j16]Yuchao Su, Jie Du, Yuanman Li, Xia Li, Rongqin Liang, Zhongyun Hua, Jiantao Zhou:
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 23(9): 16773-16785 (2022) - 2021
- [j15]Cheng Zhao, Bei Xia, Weiling Chen, Libao Guo, Jie Du, Tianfu Wang, Baiying Lei:
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion. Appl. Soft Comput. 107: 107386 (2021) - [j14]Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Cross-attention multi-branch network for fundus diseases classification using SLO images. Medical Image Anal. 71: 102031 (2021) - [j13]Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j12]Jie Du, Chi-Man Vong, C. L. Philip Chen:
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification. IEEE Trans. Cybern. 51(3): 1586-1597 (2021) - [j11]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - 2020
- [j10]Jie Du, Chi-Man Vong, Chuangquan Chen, Peng Liu, Zhenbao Liu:
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning. IEEE Access 8: 11700-11709 (2020) - [j9]Yujin Hu, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei, Tianfu Wang:
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access 8: 29176-29187 (2020) - [j8]Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang:
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61: 101652 (2020) - [j7]Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang:
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64: 101716 (2020) - [j6]Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jie Du, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng:
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64: 101753 (2020) - [j5]Chi-Man Vong, Jie Du:
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data. Neural Networks 128: 268-278 (2020) - [j4]Jie Du, Chi-Man Vong:
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels. IEEE Trans. Cybern. 50(1): 374-385 (2020) - 2019
- [j3]Zehui Lin, Shengli Li, Dong Ni, Yimei Liao, Huaxuan Wen, Jie Du, Siping Chen, Tianfu Wang, Baiying Lei:
Multi-task learning for quality assessment of fetal head ultrasound images. Medical Image Anal. 58 (2019) - 2018
- [j2]Chi-Man Vong, Jie Du, Chiman Wong, Jiuwen Cao:
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6163-6177 (2018) - 2017
- [j1]Jie Du, Chi-Man Vong, Chi-Man Pun, Pak-Kin Wong, Weng-Fai Ip:
Post-boosting of classification boundary for imbalanced data using geometric mean. Neural Networks 96: 101-114 (2017)
Conference and Workshop Papers
- 2021
- [c6]Yanhong Zhou, Jie Du, Kai Guan, Tianfu Wang:
Multi-modal Broad Learning System for Medical Image and Text-based Classification. EMBC 2021: 3439-3442 - [c5]Yanhong Zhou, Jie Du, Yujian Liu, Yali Qiu, Tianfu Wang:
CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. ICIG (2) 2021: 630-640 - [c4]Cheng Zhao, Bei Xia, Libao Guo, Jie Du, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. ISBI 2021: 1402-1405 - 2020
- [c3]Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. ISBI 2020: 1-4 - [c2]Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. ISBI 2020: 1-4 - 2019
- [c1]Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang:
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. SUSI/PIPPI@MICCAI 2019: 113-122
Informal and Other Publications
- 2021
- [i1]Jiahua Luo, Chi-Man Vong, Jie Du:
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. CoRR abs/2107.08195 (2021)
Coauthor Index
aka: Baiying Lei
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