Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm. - Heshan Wang; Xuefeng Yan (Neurocomputing, 2014)

Chlorophyll-a Predicting Model Based on Dynamic Neural Network. - Heshan Wang; Xuefeng Yan; Hongping Chen; Chao Chen; Meijin Guo (Appl. Artif. Intell., 2015)

Optimizing the echo state network with a binary particle swarm optimization algorithm. - Heshan Wang; Xuefeng Yan (Knowl. Based Syst., 2015)

Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses. - Heshan Wang; Chunjuan Ni; Xuefeng Yan (Neurocomputing, 2017)

Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm. - Heshan Wang; Q. M. Jonathan Wu; Jie Wang 026; Wei Wu; Kunjie Yu (Neurocomputing, 2019)

Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm. - Heshan Wang; Q. M. Jonathan Wu; Jianbin Xin; Jie Wang 026; Heng Zhang (Knowl. Based Syst., 2020)

Echo state network with a global reversible autoencoder for time series classification. - Heshan Wang; Q. M. Jonathan Wu; Dongshu Wang; Jianbin Xin; Yimin Yang 001; Kunjie Yu (Inf. Sci., 2021)

Behavioral Decision-Making of Mobile Robot in Unknown Environment with the Cognitive Transfer. - Dongshu Wang; Kai Yang; Heshan Wang; Lei Liu (J. Intell. Robotic Syst., 2021)

Face Recognition in Complex Unconstrained Environment with An Enhanced WWN Algorithm. - Dongshu Wang; Heshan Wang; Jiwen Sun; Jianbin Xin; Yong Luo (J. Intell. Syst., 2021)

Multi-layer Echo State Network with Nonlinear Vector Autoregression Reservoir for Time Series Prediction. - Heshan Wang; Yuxi Liu; Dongshu Wang; Yong Luo; Jianbin Xin (NCAA (1), 2022)

Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network. - Ming Xu; Jinfeng Gao; Zhong Zhang; Heshan Wang (Entropy, 2022)

Echo state network with logistic mapping and bias dropout for time series prediction. - Heshan Wang; Yuxi Liu; Peng Lu; Yong Luo; Dongshu Wang; Xiangyang Xu (Neurocomputing, 2022)

Time-dependent rural postman problem: time-space network formulation and genetic algorithm. - Jianbin Xin; Benyang Yu; Andrea D'Ariano; Heshan Wang; Meng Wang 020 (Oper. Res., 2022)

Discriminative and regularized echo state network for time series classification. - Heshan Wang; Yuxi Liu; Dongshu Wang; Yong Luo; Chudong Tong; Zhaomin Lv (Pattern Recognit., 2022)

An Incremental Learning Model for Mobile Robot: From Short-Term Memory to Long-Term Memory. - Dongshu Wang; Kai Yang; Lei Liu; Heshan Wang (IEEE Trans. Artif. Intell., 2022)

Behavior Decision of Mobile Robot With a Neurophysiologically Motivated Reinforcement Learning Model. - Dongshu Wang; Shuli Chen; Yuhang Hu; Lei Liu; Heshan Wang (IEEE Trans. Cogn. Dev. Syst., 2022)

Decision optimisation of a mobile robot in a complex environment based on memory sequence replay mechanism. - Dongshu Wang; Kai Yang; Xulin Gao; Heshan Wang (Int. J. Autom. Control., 2023)

DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. - Heshan Wang; Yiping Zhang; Jing Liang 005; Lili Liu (Neural Networks, 2023)

DMEF-Net: Lightweight Infrared Dim Small Target Detection Network for Limited Samples. - Tianlei Ma; Zhen Yang; Yi-Fan Song; Jing J. Liang; Heshan Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization. - Kunjie Yu; Lingjun Wang; Jing Liang 005; Heshan Wang; Kangjia Qiao; Tianye Liang (Swarm Evol. Comput., 2024)

Long Short-Term Memory-Based Multi-Robot Trajectory Planning: Learn from MPCC and Make It Better. - Jianbin Xin; Tao Xu; Jihong Zhu; Heshan Wang; Jinzhu Peng (Adv. Intell. Syst., 2024)

PVA-BLS: Polynomial vector autoregression broad learning system for multivariate time series prediction. - Chudong Tong; Liangkun Guo; Bowen Sun; Zhepeng Wang 003; Heshan Wang (Knowl. Based Syst., 2025)