Nannan Ji

According to our database, Nannan Ji authored at least 18 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EMD-based combined attention mechanism RNN for multivariate time series forecasting.

Weifu Ding, Chunxia Zhang, Huachuan Huang, Zizhao Guo, Li Long, Nannan Ji

Appl. Intell., June, 2026

2023

Correction to: robust two-phase registration method for three-dimensional point set under the bayesian mixture framework.

Lijuan Yang, Nannan Ji, Changpeng Wang, Tianjun Wu, Fuxiao Li

Int. J. Mach. Learn. Cybern., June, 2023

Robust two-phase registration method for three-dimensional point set under the Bayesian mixture framework.

Lijuan Yang, Nannan Ji, Changpeng Wang, Tianjun Wu, Fuxiao Li

Int. J. Mach. Learn. Cybern., June, 2023

SAR image change detection based on Gabor wavelets and convolutional wavelet neural networks.

Wen Yi, Shijie Wang, Nannan Ji, Changpeng Wang, Yuzhu Xiao, Xueli Song

Multim. Tools Appl., 2023

2019

Discriminative Representation Learning with Supervised Auto-encoder.

Fang Du, Jiangshe Zhang, Nannan Ji, Junying Hu, Chunxia Zhang

Neural Process. Lett., 2019

A new variant of restricted Boltzmann machine with horizontal connections.

Guang Shi, Jiangshe Zhang, Nannan Ji, Changpeng Wang

Neural Comput. Appl., 2019

2018

An effective hierarchical extreme learning machine based multimodal fusion framework.

Fang Du, Jiangshe Zhang, Nannan Ji, Guang Shi, Chunxia Zhang

Neurocomputing, 2018

2017

A new regularized restricted Boltzmann machine based on class preserving.

Junying Hu, Jiang-She Zhang, Nannan Ji, Chunxia Zhang

Knowl. Based Syst., 2017

Application of extended Dempster-Shafer theory of evidence in accident probability estimation for dangerous goods transportation.

Yee Leung, Rongrong Li, Nannan Ji

J. Geogr. Syst., 2017

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, Nannan Ji, Chunxia Zhang

Neurocomputing, 2017

2016

Randomizing outputs to increase variable selection accuracy.

Chun-Xia Zhang, Nan-Nan Ji, Guan-Wei Wang

Neurocomputing, 2016

2015

Enhancing performance of the backpropagation algorithm via sparse response regularization.

Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng

Neurocomputing, 2015

2014

Learning ensemble classifiers via restricted Boltzmann machines.

Chun-Xia Zhang, Jiang-She Zhang, Nan-Nan Ji, Gao Guo

Pattern Recognit. Lett., 2014

Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations.

Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Lei Wang

Pattern Recognit. Lett., 2014

A sparse-response deep belief network based on rate distortion theory.

Nan-Nan Ji, Jiang-She Zhang, Chun-Xia Zhang

Pattern Recognit., 2014

Enhancing performance of restricted Boltzmann machines via log-sum regularization.

Nannan Ji, Jiang-She Zhang, Chun-Xia Zhang, Qingyan Yin

Knowl. Based Syst., 2014

Parallel tempering with equi-energy moves for training of restricted boltzmann machines.

Nannan Ji, Jiang-She Zhang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

An integrated information fusion approach based on the theory of evidence and group decision-making.

Yee Leung, Nan-Nan Ji, Jiang-Hong Ma

Inf. Fusion, 2013