Ke Wang

According to our database, Ke Wang authored at least 17 papers between 2014 and 2025.

Collaborative distances:

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

2025

A heuristic solution for multi-mode resource-constrained project scheduling problem with transfer times: The multi-project case.

Jian Peng, Wanru Gao, Yafei Li, Shuo He, Ke Wang, Mingliang Xu

Expert Syst. Appl., 2025

Autonomous dynamic formation for maritime target tracking using multi-agent reinforcement learning.

Hua Wang, Jiaxin Li, Hao Tao, Junnan Liu, Chaochao Li, Ke Wang, Mingliang Xu

Eng. Appl. Artif. Intell., 2025

Compute-efficient and backpropagation-free pseudoinverse learning for neural networks: A comprehensive survey.

Ke Wang, Pandi Liu, Mohammed A. B. Mahmoud, Ping Guo, Yafei Li

Appl. Soft Comput., 2025

2024

Learned Unmanned Vehicle Scheduling for Large-Scale Urban Logistics.

Mei Zhang, Yanli Zeng, Ke Wang, Yafei Li, Qingshun Wu, Mingliang Xu

IEEE Trans. Intell. Transp. Syst., July, 2024

2023

DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.

Hao Liu, Pengfei Wang, Xin He, Ke Wang, Shaohu Jin, Pengyun Chen, Xiaoheng Jiang, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects.

Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu

IEEE Trans. Instrum. Meas., 2022

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection.

Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu

Knowl. Based Syst., 2022

2021

An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals.

Ke Wang, Ping Guo

IEEE Trans. Intell. Transp. Syst., 2021

A Robust Automated Machine Learning System with Pseudoinverse Learning.

Ke Wang, Ping Guo

Cogn. Comput., 2021

2020

Pseudoinverse learning autoencoder with DCGAN for plant diseases classification.

Mohammed A. B. Mahmoud, Ping Guo, Ke Wang

Multim. Tools Appl., 2020

2018

Computational Intelligence in Astronomy: A Survey.

Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du

Int. J. Comput. Intell. Syst., 2018

PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks.

Ping Guo, Xiuling Zhou, Ke Wang

CoRR, 2018

2017

Autoencoder, low rank approximation and pseudoinverse learning algorithm.

Ke Wang, Ping Guo, Xin Xin, Zebin Ye

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Deep neural networks with local connectivity and its application to astronomical spectral data.

Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition.

Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Angular quantization based affinity propagation clustering and its application to astronomical big spectra data.

Ke Wang, Ping Guo, A-Li Luo

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data.

Ke Wang, Ping Guo

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014