Jian Zhang

According to our database, Jian Zhang authored at least 33 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.

Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding

Soft Comput., March, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.

Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding

Knowl. Inf. Syst., January, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding

Appl. Intell., November, 2023

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.

Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding

Big Data Res., August, 2023

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

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An

Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.

Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding

Soft Comput., June, 2023

Maximum density minimum redundancy based hypergraph regularized support vector regression.

Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang

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

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

Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi

Pattern Recognit., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.

Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Cogn. Dev. Syst., 2023

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

Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Broad learning system based ensemble deep model.

Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang

Soft Comput., 2022

Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study.

Junrong Du, Jian Zhang, Laishun Yang, Xuzhi Li, Lili Guo, Lei Song

Sensors, 2022

A Gaussian RBM with binary auxiliary units.

Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo

Int. J. Mach. Learn. Cybern., 2022

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

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding

Inf. Sci., 2022

2020

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

Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao

Neural Comput. Appl., 2020

An adversarial non-volume preserving flow model with Boltzmann priors.

Jian Zhang, Shifei Ding, Weikuan Jia

Int. J. Mach. Learn. Cybern., 2020

Adversarial Training Methods for Boltzmann Machines.

Jian Zhang, Shifei Ding, Nan Zhang, Weikuan Jia

IEEE Access, 2020

2019

A review on multi-class TWSVM.

Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue

Artif. Intell. Rev., 2019

2018

Research of stacked denoising sparse autoencoder.

Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang

Neural Comput. Appl., 2018

An overview on Restricted Boltzmann Machines.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Neurocomputing, 2018

An overview on probability undirected graphs and their applications in image processing.

Jian Zhang, Shifei Ding, Nan Zhang

Neurocomputing, 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency.

Shifei Ding, Nan Zhang, Jian Zhang

Proceedings of the Intelligent Information Processing IX, 2018

2017

Unsupervised extreme learning machine with representational features.

Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2017

Research on Point-wise Gated Deep Networks.

Nan Zhang, Shifei Ding, Jian Zhang, Yu Xue

Appl. Soft Comput., 2017

2016

A wavelet extreme learning machine.

Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang

Neural Comput. Appl., 2016

Incremental extreme learning machine based on deep feature embedded.

Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2016

Weight Uncertainty in Boltzmann Machine.

Jian Zhang, Shifei Ding, Nan Zhang, Yu Xue

Cogn. Comput., 2016

An Adaptive Density Data Stream Clustering Algorithm.

Shifei Ding, Jian Zhang, Hongjie Jia, Jun Qian

Cogn. Comput., 2016

Multi layer ELM-RBF for multi-label learning.

Nan Zhang, Shifei Ding, Jian Zhang

Appl. Soft Comput., 2016

Boltzmann Machine and its Applications in Image Recognition.

Shifei Ding, Jian Zhang, Nan Zhang, Yanlu Hou

Proceedings of the Intelligent Information Processing VIII, 2016

2004

Neural Field Model for Perceptual Learning.

Zhongzhi Shi, Youping Huang, Jian Zhang

Proceedings of the 3rd IEEE International Conference on Cognitive Informatics (ICCI 2004), 2004