An effective iterative density aware detailed placement algorithm. - Quan Zhou; Junying Hu; Qiang Zhou (ISCAS, 2014)

A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons. - Junying Hu; Jiang-She Zhang 001; Chunxia Zhang 002; Juan Wang (Neurocomputing, 2016)

A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer. - Junying Hu; Jiang-She Zhang 001; Nannan Ji; Chunxia Zhang 002 (Neurocomputing, 2017)

Generalized extreme learning machine autoencoder and a new deep neural network. - Kai Sun 007; Jiang-She Zhang 001; Chunxia Zhang 002; Junying Hu (Neurocomputing, 2017)

A new regularized restricted Boltzmann machine based on class preserving. - Junying Hu; Jiang-She Zhang 001; Nannan Ji; Chunxia Zhang 002 (Knowl. Based Syst., 2017)

Graph-based discriminative concept factorization for data representation. - Huirong Li; Jiang-She Zhang 001; Junying Hu; Chunxia Zhang 002; Junmin Liu (Knowl. Based Syst., 2017)

RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges. - Ju Ren 001; Junying Hu; Deyu Zhang; Hui Guo; Yaoxue Zhang; Xuemin (Sherman) Shen (IEEE Commun. Mag., 2018)

A scalable and manageable IoT architecture based on transparent computing. - Hui Guo; Ju Ren 001; Deyu Zhang; Yaoxue Zhang; Junying Hu (J. Parallel Distributed Comput., 2018)

A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification. - Peiju Chang; Jiangshe Zhang 001; Junying Hu; Zengjie Song (Neural Process. Lett., 2018)

Joint Load Scheduling and Voltage Regulation in the Distribution System With Renewable Generators. - Ju Ren 001; Junying Hu; Ruilong Deng; Deyu Zhang; Yaoxue Zhang; Xuemin Sherman Shen (IEEE Trans. Ind. Informatics, 2018)

Discriminative multi-modal deep generative models. - Fang Du; Jiangshe Zhang 001; Junying Hu; Rongrong Fei (Knowl. Based Syst., 2019)

Convolutional Sparse Representation of Injected Details for Pansharpening. - Rongrong Fei; Jiangshe Zhang 001; Junmin Liu; Fang Du; Peiju Chang; Junying Hu (IEEE Geosci. Remote. Sens. Lett., 2019)

Discriminative Representation Learning with Supervised Auto-encoder. - Fang Du; Jiangshe Zhang 001; Nannan Ji; Junying Hu; Chunxia Zhang 002 (Neural Process. Lett., 2019)

Neural network with multiple connection weights. - Jiangshe Zhang 001; Junying Hu; Junmin Liu (Pattern Recognit., 2020)

A distributed parallel training method of deep belief networks. - Guang Shi; Jiangshe Zhang 001; Chunxia Zhang 002; Junying Hu (Soft Comput., 2020)

Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. - Changsheng Zhou; Jiangshe Zhang 001; Junmin Liu; Chunxia Zhang 002; Guang Shi; Junying Hu (IEEE Trans. Geosci. Remote. Sens., 2020)

Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data. - Junying Hu; Kai Sun 007; Hai Zhang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Remaining useful life prediction for aircraft engines based on phase space reconstruction and hybrid VNS-SVR model. - Junying Hu; Xiaofei Qian; Hao Cheng; Changchun Tan; Xinbao Liu (J. Intell. Fuzzy Syst., 2021)

Saliency-based YOLO for single target detection. - Junying Hu; Chuanjin Richard Shi; Jiang-She Zhang 001 (Knowl. Inf. Syst., 2021)

A model-driven network for guided image denoising. - Shuang Xu; Jiangshe Zhang 001; Jialin Wang; Kai Sun 007; Chunxia Zhang 002; Junmin Liu; Junying Hu (Inf. Fusion, 2022)

Helmholtz machine with differential privacy. - Junying Hu; Kai Sun 007; Hai Zhang 001 (Inf. Sci., 2022)

Point and interval prediction of aircraft engine maintenance cost by bootstrapped SVR and improved RFE. - Junying Hu; Xiaofei Qian; Changchun Tan; Xinbao Liu (J. Supercomput., 2023)

MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing. - Kai Sun 007; Jiangshe Zhang 001; Jialin Wang; Shuang Xu; Chunxia Zhang 002; Junying Hu (Expert Syst. Appl., 2023)

Convolutional neural network incorporating misclassification information for image recognition. - Junying Hu; Rongrong Fei; Fang Du; Peiju Chang; Jiangshe Zhang 001 (Soft Comput., 2024)

Back-propagating errors through artificial neural networks for variable selection. - Junying Hu; Peiju Chang; Fang Du; Rongrong Fei; Kai Sun 007; Jiangshe Zhang 001; Hai Zhang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Modified R-BERT with global semantic information for relation classification task. - Yuhua Wang; Junying Hu; Yongli Su; Bo Zhang; Kai Sun 007; Hai Zhang 001 (Comput. Speech Lang., 2025)

CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition. - Kai Sun 007; Jiangshe Zhang 001; Shuang Xu; Zixiang Zhao; Chunxia Zhang 002; Junmin Liu; Junying Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)