Jian Zhang

发表

Multi-view Restricted Boltzmann Machines with Posterior Consistency

Jian Zhang, Nan Zhang, Shifei Ding, 2018, Intelligent Information Processing.

A Gaussian RBM with binary auxiliary units

Tongfeng Sun, Jian Zhang, Shifei Ding, 2022, International Journal of Machine Learning and Cybernetics.

Unsupervised extreme learning machine with representational features

Zhongzhi Shi, Nan Zhang, Shifei Ding, 2015, International Journal of Machine Learning and Cybernetics.

Deep Extreme Learning Machine and Its Application in EEG Classification

Jian Zhang, Nan Zhang, Shifei Ding, 2015 .

An Adaptive Density Data Stream Clustering Algorithm

Hongjie Jia, Jun Qian, Shifei Ding, 2015, Cognitive Computation.

An overview on Restricted Boltzmann Machines

Shifei Ding, Yu Xue, Nan Zhang, 2018, Neurocomputing.

Parallel stochastic configuration networks for large-scale data regression

Weikuan Jia, Shifei Ding, Jian Zhang, 2021, Appl. Soft Comput..

Multi-agent dueling Q-learning with mean field and value decomposition

Bo An, Wei Du, Jian Zhang, 2023, Pattern Recognit..

Broad learning system based ensemble deep model

Jian Zhang, Shifei Ding, Lili Guo, 2022, Soft Computing.

Boltzmann Machine and its Applications in Image Recognition

Nan Zhang, Shifei Ding, Jian Zhang, 2016, Intelligent Information Processing.

Multi layer ELM-RBF for multi-label learning

Shifei Ding, Nan Zhang, Jian Zhang, 2016, Appl. Soft Comput..

Incremental extreme learning machine based on deep feature embedded

Zhongzhi Shi, Nan Zhang, Shifei Ding, 2016, Int. J. Mach. Learn. Cybern..

A review on multi-class TWSVM

Yu Xue, Shifei Ding, Xingyu Zhao, 2019, Artificial Intelligence Review.

Unsupervised extreme learning machine with representational features

N. Zhang, Xinzheng Xu, Jian Zhang, 2015, International Journal of Machine Learning and Cybernetics.

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data

C. Li, Jian Zhang, Shifei Ding, 2022, Pattern Recognit..

FEMRNet: Feature-enhanced multi-scale residual network for image denoising

Jian Zhang, Shifei Ding, Lili Guo, 2023, Applied Intelligence.

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression

Jian Zhang, Shifei Ding, Lili Guo, 2023, IEEE Transactions on Cognitive and Developmental Systems.

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding

Jian Zhang, Shifei Ding, Hai-yan Hou, 2023, Big Data Research.

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning

Wei Du, Jian Zhang, Shifei Ding, 2022, Inf. Sci..

An Adaptive Density Data Stream Clustering Algorithm

Shifei Ding, Hongjie Jia, Jian Zhang, 2016, Cognitive Computation.

A wavelet extreme learning machine

Shifei Ding, Xinzheng Xu, Jian Zhang, 2016, Neural computing & applications (Print).

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU

Jian Zhang, Shifei Ding, Lili Guo, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Research of stacked denoising sparse autoencoder

Nan Zhang, Shifei Ding, Jian Zhang, 2018, Neural computing & applications (Print).

Robust spike-and-slab deep Boltzmann machines for face denoising

Jian Zhang, Nan Zhang, Shifei Ding, 2018, Neural Computing and Applications.

Research on Point-wise Gated Deep Networks

N. Zhang, Yu Xue, Shifei Ding, 2017, Appl. Soft Comput..

Adversarial Training Methods for Boltzmann Machines

Weikuan Jia, Jian Zhang, Shifei Ding, 2020, IEEE Access.