Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm. - Weidong Zou; Fenxi Yao; Baihai Zhang; Chaoxing He; Zixiao Guan (Neurocomputing, 2017)

Improved Meta-ELM with error feedback incremental ELM as hidden nodes. - Weidong Zou; Fenxi Yao; Baihai Zhang; Zixiao Guan (Neural Comput. Appl., 2018)

Fault Diagnosis of Tennessee-Eastman Process Using Orthogonal Incremental Extreme Learning Machine Based on Driving Amount. - Weidong Zou; Yuanqing Xia; Huifang Li 002 (IEEE Trans. Cybern., 2018)

Back propagation bidirectional extreme learning machine for traffic flow time series prediction. - Weidong Zou; Yuanqing Xia (Neural Comput. Appl., 2019)

Broad Learning System with Proportional-Integral-Differential Gradient Descent. - Weidong Zou; Yuanqing Xia; Weipeng Cao; Zhong Ming 001 (ICA3PP (1), 2020)

Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. - Weidong Zou; Yuanqing Xia; Weipeng Cao (ICMLA, 2020)

Dense Broad Learning System based on Conjugate Gradient. - Weidong Zou; Yuanqing Xia; Weipeng Cao (IJCNN, 2020)

Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. - Weidong Zou; Yuanqing Xia; Meikang Qiu; Weipeng Cao (KSEM, 2021)

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. - Hongwei Zhang; Weidong Zou; Hongbo Zhao 006; Qi Ming; Tijin Yan; Yuanqing Xia; Weipeng Cao (CoRR, 2021)

Extreme Learning Machine Based on Adaptive Matrix Iteration. - Yuxiang Li; Weidong Zou; Can Wang; Yuanqing Xia (ICSI (2), 2022)

An Incremental Extreme Learning Machine Prediction Method Based on Attenuated Regularization Term. - Can Wang; Yuxiang Li; Weidong Zou; Yuanqing Xia (ICSI (2), 2022)

Dense deep stochastic configuration network with hybrid training mechanism. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Int. J. Comput. Sci. Math., 2022)

Back-propagation extreme learning machine. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Soft Comput., 2022)

Fuzzy Broad Learning System Based on Accelerating Amount. - Weidong Zou; Yuanqing Xia; Li Dai 001 (IEEE Trans. Fuzzy Syst., 2022)

AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information. - Weidong Zou; Yuanqing Xia; Weipeng Cao (Eng. Appl. Artif. Intell., 2023)

Study on Decoupling Capacitor Selection Strategy Based on Board-Level PDN Design. - Ziyu Zhang; Weidong Zou; Cui Ye (EITCE, 2024)

ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collision. - Weidong Zou; Weipeng Cao; Yuanqing Xia; Bineng Zhong; Dachuan Li (INDIN, 2024)

A Novel Online Sequential Learning Algorithm for ELM Based on Optimal Control. - Huihuang Lu; Weidong Zou; Liping Yan (KSEM (2), 2024)

Transformer-based dual-view X-ray security inspection image analysis. - Xianglong Meng; Hao Feng; Yu Ren; Haigang Zhang; Weidong Zou; Xinyu Ouyang (Eng. Appl. Artif. Intell., 2024)