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Xiaojun Jiang
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2020 – today
- 2024
- [j5]Xiaojun Jiang, Shimin Gong
, Chengyi Deng, Lanhua Li
Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer. Sensors 24(10): 3031 (2024) - [j4]Xie Jiang
Damage Identification of Chemical Milling Stiffened Panel Based on Lamb Wave and Inception-Convolutional Neural Network. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [c13]Xiaojun Jiang, Haiquan Chi:
English Literature Appreciation Teaching Resources Retrieval System Based on Mutual Information Entropy. eLEOT (1) 2023: 156-171 - [c12]Haiquan Chi, Zhonghua Zhao, Xiaojun Jiang:
Multi Agent Based High School Physics Network Course Automatic Generation System. eLEOT (1) 2023: 185-199 - 2021
- [j3]Xiaojun Jiang
Online English Teaching Course Score Analysis Based on Decision Tree Mining Algorithm. Complex. 2021: 5577167:1-5577167:10 (2021) - 2020
- [j2]Xuelin Yang, Xiaojun Jiang, Li Rong, Zhe Xu:
A Sports Teaching Mode Based on Social Networking Service Teaching Resources. Int. J. Emerg. Technol. Learn. 15(8): 180-194 (2020) - [c11]Yabo Fu, Yang Lei
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c10]Xiaojun Jiang, Zengxiang Pan:
Construction of Vocational Education Information Platform Under the Background of Big Data. DPTA 2019: 63-70 - [c9]Yang Lei
Brain MRI classification based on machine learning framework with auto-context model. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531W - [c8]Bo Wang, Yang Lei
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. Medical Imaging: Computer-Aided Diagnosis 2019: 109503X - [c7]Tonghe Wang
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2019: 109504D - [c6]Yang Lei
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. Medical Imaging: Computer-Aided Diagnosis 2019: 1095010 - [c5]Bo Wang, Yang Lei
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Medical Imaging: Image Processing 2019: 109492S - 2016
- [j1]Fuming Sun
Graph regularized and sparse nonnegative matrix factorization with hard constraints for data representation. Neurocomputing 173: 233-244 (2016) - 2015
- [c4]Fuming Sun, Meixiang Xu, Xiaojun Jiang:
Robust Multi-label Image Classification with Semi-Supervised Learning and Active Learning. MMM (2) 2015: 512-523 - 2014
- [c3]Meixiang Xu, Fuming Sun, Xiaojun Jiang:
Multi-label learning with co-training based on semi-supervised regression. SPAC 2014: 175-180 - 2012
- [c2]Xiaojun Jiang, Shaohua Ren, Yongzhong Shi:
A novel feature-based and application-oriented approach to Marine Sub-bottom Acoustic spatial data fusion. Geoinformatics 2012: 1-5
2000 – 2009
- 2008
- [c1]Xiaojun Jiang, Nan Liu, Renyi Liu, Tianhe Yin:
Study and Implementation of the Methods of the Side-scan Sonar Image Processing. CSSE (6) 2008: 109-112
Coauthor Index
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