Real-time Resource Positioning System based on Wireless Sensor Network in Manufacturing Workshop. - Shaobo Li 001; Jinglei Qu; Chenglong Zhang 001 (Int. J. Online Eng., 2017)

Safety Traceability System of Characteristic Food Based on RFID and EPC Internet of Things. - Chenglong Zhang 001; Shaobo Li 001; Jinglei Qu (Int. J. Online Biomed. Eng., 2019)

An optimized support vector regression for prediction of bearing degradation. - Chenglong Zhang 001; Shifei Ding; Yuting Sun; Zichen Zhang 002 (Appl. Soft Comput., 2021)

Parallel stochastic configuration networks for large-scale data regression. - Chenglong Zhang 001; Shifei Ding; Jian (Andrew) Zhang; Weikuan Jia (Appl. Soft Comput., 2021)

SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001 (Neurocomputing, 2021)

A stochastic configuration network based on chaotic sparrow search algorithm. - Chenglong Zhang 001; Shifei Ding (Knowl. Based Syst., 2021)

Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning. - Wei Du 010; Shifei Ding; Chenglong Zhang 001; Shuying Du (Int. J. Mach. Learn. Cybern., 2021)

An AdaBoost Based - Deep Stochastic Configuration Network. - Chenglong Zhang 001; Shifei Ding; Ling Ding 001 (IIP, 2022)

A novel dense capsule network based on dense capsule layers. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001; Wei Du 010 (Appl. Intell., 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)

Broad stochastic configuration network for regression. - Chenglong Zhang 001; Shifei Ding; Wei Du 010 (Knowl. Based Syst., 2022)

Hypergraph based semi-supervised support vector machine for binary and multi-category classifications. - Yuting Sun; Shifei Ding; Zichen Zhang 002; Chenglong Zhang 001 (Int. J. Mach. Learn. Cybern., 2022)

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

Greedy stochastic configuration networks for ill-posed problems. - Tao Zhou; Yang Wang 028; Guanci Yang; Chenglong Zhang 001; Jiahua Wang (Knowl. Based Syst., 2023)

A regularized stochastic configuration network based on weighted mean of vectors for regression. - Yang Wang 028; Tao Zhou; Guanci Yang; Chenglong Zhang 001; Shaobo Li 001 (PeerJ Comput. Sci., 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)

Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. - Wei Du 010; Shifei Ding; Chenglong Zhang 001; Zhongzhi Shi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Stochastic configuration networks with group lasso regularization. - Yang Wang 028; Guanci Yang; Chenglong Zhang 001; Yongming Wu (Inf. Sci., 2024)

Greedy deep stochastic configuration networks ensemble with boosting negative correlation learning. - Chenglong Zhang 001; Yang Wang 028; David Zhang 001 (Inf. Sci., 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)

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems. - Lili Guo; Jianglan Zhu; Chenglong Zhang 001; Shifei Ding (IEEE Trans. Fuzzy Syst., 2024)

A novel robust semi-supervised stochastic configuration network for regression tasks with noise. - Shifei Ding; Zi Zhang; Li Xu; Chenglong Zhang 001; Lili Guo; Xuan Li 004 (Inf. Sci., 2025)

Decay regularized stochastic configuration networks with multi-level data processing for UAV battery RUL prediction. - Zihao Liao; Shaobo Li 001; Peng Zhou; Chenglong Zhang 001 (Inf. Sci., 2025)

Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting. - Zichen Zhang 002; Chenglong Zhang 001; Yongquan Dong; Wei-Chiang Hong (Knowl. Based Syst., 2025)

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)

MOSSA: An Efficient Swarm Intelligent Algorithm to Solve Global Optimization and Carbon Fiber Drawing Process Problems. - Jiankai Xue; Chenglong Zhang 001; Muming Wang; Xuezhe Dong (IEEE Internet Things J., 2025)

Hierarchical Fuzzy Stochastic Configuration Network Based on Canonical Correlation Analysis for Multiview Pulse Signal Fusion. - Shicheng Dai; Chenglong Zhang 001; Chaoxun Guo; Baoyuan Wu; David Zhang 001 (IEEE Trans. Fuzzy Syst., 2025)

Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition. - Chenglong Zhang 001; Dawei Cheng; Jiankai Xue; Feng Wu 005; David Zhang (IEEE Trans. Fuzzy Syst., 2025)

Sparse low-rank retargeted stochastic configuration networks for multiclass classification. - Yang Wang 028; Guangchuan Liu; Chenglong Zhang 001; Yilong He; Yingsong Sun (Expert Syst. Appl., 2026)

Learning multi-agent communication via graph contrastive learning. - Wei Du 010; Zhengfan Chen; Shifei Ding; Chenglong Zhang 001; Wei Guo 017; Yuqing Sun; Guoxian Yu; Lizhen Cui (Pattern Recognit., 2026)