Neural Field Model for Perceptual Learning. - Zhongzhi Shi; Youping Huang; Jian Zhang 019 (IEEE ICCI, 2004)

Boltzmann Machine and its Applications in Image Recognition. - Shifei Ding; Jian Zhang 019; Nan Zhang 014; Yanlu Hou (IIP, 2016)

Multi layer ELM-RBF for multi-label learning. - Nan Zhang 014; Shifei Ding; Jian Zhang 019 (Appl. Soft Comput., 2016)

An Adaptive Density Data Stream Clustering Algorithm. - Shifei Ding; Jian Zhang 019; Hongjie Jia; Jun Qian (Cogn. Comput., 2016)

Weight Uncertainty in Boltzmann Machine. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Yu Xue 004 (Cogn. Comput., 2016)

Incremental extreme learning machine based on deep feature embedded. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2016)

A wavelet extreme learning machine. - Shifei Ding; Jian Zhang 019; Xinzheng Xu; Yanan Zhang 004 (Neural Comput. Appl., 2016)

Research on Point-wise Gated Deep Networks. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Yu Xue 004 (Appl. Soft Comput., 2017)

Unsupervised extreme learning machine with representational features. - Shifei Ding; Nan Zhang 014; Jian Zhang 019; Xinzheng Xu; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2017)

Multi-view Restricted Boltzmann Machines with Posterior Consistency. - Shifei Ding; Nan Zhang 014; Jian Zhang 019 (IIP, 2018)

An overview on probability undirected graphs and their applications in image processing. - Jian Zhang 019; Shifei Ding; Nan Zhang 014 (Neurocomputing, 2018)

An overview on Restricted Boltzmann Machines. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Yu Xue 004 (Neurocomputing, 2018)

Research of stacked denoising sparse autoencoder. - Lingheng Meng; Shifei Ding; Nan Zhang 014; Jian Zhang 019 (Neural Comput. Appl., 2018)

A review on multi-class TWSVM. - Shifei Ding; Xingyu Zhao 002; Jian Zhang 019; Xiekai Zhang; Yu Xue 004 (Artif. Intell. Rev., 2019)

Adversarial Training Methods for Boltzmann Machines. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Weikuan Jia (IEEE Access, 2020)

An adversarial non-volume preserving flow model with Boltzmann priors. - Jian Zhang 019; Shifei Ding; Weikuan Jia (Int. J. Mach. Learn. Cybern., 2020)

Robust spike-and-slab deep Boltzmann machines for face denoising. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Xingyu Zhao 002 (Neural Comput. Appl., 2020)

Complementary Labels Learning with Augmented Classes. - Zhongnian Li; Jian Zhang 019; Mengting Xu; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning. - Wei Du 010; Shifei Ding; Lili Guo; Jian Zhang 019; Chenglong Zhang 001; Ling Ding 001 (Inf. Sci., 2022)

A Gaussian RBM with binary auxiliary units. - Jian Zhang 019; Shifei Ding; Tongfeng Sun; Lili Guo (Int. J. Mach. Learn. Cybern., 2022)

Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study. - Junrong Du; Jian Zhang 019; Laishun Yang; Xuzhi Li; Lili Guo; Lei Song 011 (Sensors, 2022)

Broad learning system based ensemble deep model. - Chenglong Zhang 001; Shifei Ding; Lili Guo; Jian Zhang 019 (Soft Comput., 2022)

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. - Qidong Wang; Lili Guo; Shifei Ding; Jian Zhang 019; Xiao Xu 006 (ICASSP, 2023)

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression. - Shifei Ding; Chenglong Zhang 001; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. - Shifei Ding; Chao Li; Xiao Xu 006; Ling Ding 001; Jian Zhang 019; Lili Guo; Tianhao Shi (Pattern Recognit., 2023)

Maximum density minimum redundancy based hypergraph regularized support vector regression. - Shifei Ding; Yuting Sun; Jian Zhang 019; Lili Guo; Xiao Xu 006; Zichen Zhang 002 (Int. J. Mach. Learn. Cybern., 2023)

A novel capsule network based on deep routing and residual learning. - Jian Zhang 019; Qinghai Xu; Lili Guo; Ling Ding 001; Shifei Ding (Soft Comput., 2023)

Multi-agent dueling Q-learning with mean field and value decomposition. - Shifei Ding; Wei Du 010; Ling Ding 001; Lili Guo; Jian Zhang 019; Bo An 001 (Pattern Recognit., 2023)

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. - Ling Ding 001; Peng Du; Haiwei Hou; Jian Zhang 019; Di Jin 001; Shifei Ding (Big Data Res., 2023)

Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. - Xinzheng Xu; Jian Zhang 019; Zhongnian Li (Appl. Soft Comput., 2023)

FEMRNet: Feature-enhanced multi-scale residual network for image denoising. - Xiao Xu 006; Qidong Wang; Lili Guo; Jian Zhang 019; Shifei Ding (Appl. Intell., 2023)

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. - Shifei Ding; Wei Du 010; Ling Ding 001; Lili Guo; Jian Zhang 019 (AAAI, 2024)

Expressive Multi-Agent Communication via Identity-Aware Learning. - Wei Du 010; Shifei Ding; Lili Guo; Jian Zhang 019; Ling Ding 001 (AAAI, 2024)

PatchTCN: Patch-Based Transformer Convolutional Network for Times Series Analysis. - Jian Zhang 019; Lili Guo; Lei Song 011; Song Gao; Chuanzhu Hao; Xuzhi Li (ISCAI, 2024)

Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks. - Junrong Du; Lei Song 011; Xuanang Gui; Jian Zhang 019; Lili Guo; Xuzhi Li (Appl. Soft Comput., 2024)

A novel image denoising algorithm combining attention mechanism and residual UNet network. - Shifei Ding; Qidong Wang; Lili Guo; Jian Zhang 019; Ling Ding 001 (Knowl. Inf. Syst., 2024)

Better value estimation in Q-learning-based multi-agent reinforcement learning. - Ling Ding 001; Wei Du 010; Jian Zhang 019; Lili Guo; Chenglong Zhang 001; Di Jin 001; Shifei Ding (Soft Comput., 2024)

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. - Shifei Ding; Wei Du 010; Ling Ding 001; Jian Zhang 019; Lili Guo; Bo An 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Label-Specific Time-Frequency Energy-Based Neural Network for Instrument Recognition. - Jian Zhang 019; Tong Wei 001; Min-Ling Zhang (IEEE Trans. Cybern., 2024)

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. - Shifei Ding; Haiwei Hou; Xiao Xu 006; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Agent policy gradients with dynamic weighted value decomposition. - Shifei Ding; Xiaomin Dong; Jian Zhang 019; Lili Guo; Wei Du 010; Chenglong Zhang 001 (Pattern Recognit., 2025)

Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity. - Jingxiao Zhang; Shifei Ding; Jian Zhang 019; Lili Guo; Ling Ding 001 (Pattern Recognit., 2025)