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Junying Hu
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2020 – today
- 2025
- [j25]Yuhua Wang, Junying Hu, Yongli Su, Bo Zhang, Kai Sun, Hai Zhang:
Modified R-BERT with global semantic information for relation classification task. Comput. Speech Lang. 89: 101686 (2025) - 2024
- [j24]Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang:
Back-propagating errors through artificial neural networks for variable selection. Int. J. Wavelets Multiresolution Inf. Process. 22(2): 2350046:1-2350046:25 (2024) - [j23]Junying Hu, Rongrong Fei, Fang Du, Peiju Chang, Jiangshe Zhang:
Convolutional neural network incorporating misclassification information for image recognition. Soft Comput. 28(2): 1009-1021 (2024) - 2023
- [j22]Kai Sun, Jiangshe Zhang, Jialin Wang, Shuang Xu, Chunxia Zhang, Junying Hu:
MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing. Expert Syst. Appl. 231: 120733 (2023) - [j21]Junying Hu, Xiaofei Qian, Changchun Tan, Xinbao Liu:
Point and interval prediction of aircraft engine maintenance cost by bootstrapped SVR and improved RFE. J. Supercomput. 79(7): 7997-8025 (2023) - 2022
- [j20]Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu:
A model-driven network for guided image denoising. Inf. Fusion 85: 60-71 (2022) - [j19]Junying Hu, Kai Sun, Hai Zhang:
Helmholtz machine with differential privacy. Inf. Sci. 613: 888-903 (2022) - 2021
- [j18]Junying Hu, Kai Sun, Hai Zhang:
Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data. Int. J. Wavelets Multiresolution Inf. Process. 19(3): 2050081:1-2050081:20 (2021) - [j17]Junying Hu, Xiaofei Qian, Hao Cheng, Changchun Tan, Xinbao Liu:
Remaining useful life prediction for aircraft engines based on phase space reconstruction and hybrid VNS-SVR model. J. Intell. Fuzzy Syst. 41(2): 3415-3428 (2021) - [j16]Junying Hu, Chuanjin Richard Shi, Jiang-She Zhang:
Saliency-based YOLO for single target detection. Knowl. Inf. Syst. 63(3): 717-732 (2021) - 2020
- [j15]Jiangshe Zhang, Junying Hu, Junmin Liu:
Neural network with multiple connection weights. Pattern Recognit. 107: 107481 (2020) - [j14]Guang Shi, Jiangshe Zhang, Chunxia Zhang, Junying Hu:
A distributed parallel training method of deep belief networks. Soft Comput. 24(17): 13357-13368 (2020) - [j13]Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu:
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(11): 7705-7719 (2020)
2010 – 2019
- 2019
- [j12]Fang Du, Jiangshe Zhang, Junying Hu, Rongrong Fei:
Discriminative multi-modal deep generative models. Knowl. Based Syst. 173: 74-82 (2019) - [j11]Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu:
Convolutional Sparse Representation of Injected Details for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 16(10): 1595-1599 (2019) - [j10]Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang:
Discriminative Representation Learning with Supervised Auto-encoder. Neural Process. Lett. 49(2): 507-520 (2019) - 2018
- [j9]Ju Ren, Junying Hu, Deyu Zhang, Hui Guo, Yaoxue Zhang, Xuemin (Sherman) Shen:
RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges. IEEE Commun. Mag. 56(1): 104-110 (2018) - [j8]Hui Guo, Ju Ren, Deyu Zhang, Yaoxue Zhang, Junying Hu:
A scalable and manageable IoT architecture based on transparent computing. J. Parallel Distributed Comput. 118(Part): 5-13 (2018) - [j7]Peiju Chang, Jiangshe Zhang, Junying Hu, Zengjie Song:
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification. Neural Process. Lett. 48(1): 375-388 (2018) - [j6]Ju Ren, Junying Hu, Ruilong Deng, Deyu Zhang, Yaoxue Zhang, Xuemin Sherman Shen:
Joint Load Scheduling and Voltage Regulation in the Distribution System With Renewable Generators. IEEE Trans. Ind. Informatics 14(4): 1564-1574 (2018) - 2017
- [j5]Kai Sun, Jiang-She Zhang, Chunxia Zhang, Junying Hu:
Generalized extreme learning machine autoencoder and a new deep neural network. Neurocomputing 230: 374-381 (2017) - [j4]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer. Neurocomputing 267: 1-17 (2017) - [j3]Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu:
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118: 70-79 (2017) - [j2]Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang:
A new regularized restricted Boltzmann machine based on class preserving. Knowl. Based Syst. 123: 1-12 (2017) - 2016
- [j1]Junying Hu, Jiang-She Zhang, Chunxia Zhang, Juan Wang:
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons. Neurocomputing 171: 63-72 (2016) - 2014
- [c1]Quan Zhou, Junying Hu, Qiang Zhou:
An effective iterative density aware detailed placement algorithm. ISCAS 2014: 1444-1447
Coauthor Index
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