Ke Wang

24 papers B 4Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Synergetic Learning System Based on Swarm of Non-Gradient Learners.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhe Li, Binghong Liu, Ke Wang, Ping Guo
2025 J jnl
A heuristic solution for multi-mode resource-constrained project scheduling problem with transfer times: The multi-project case.
Expert Syst. Appl.
Jian Peng, Wanru Gao, Yafei Li, Shuo He, Ke Wang, Mingliang Xu
2025 J jnl
Answering Why-Not Questions on Top-k Social Image Search Services.
IEEE Trans. Serv. Comput.
Baolong Mei, Yuke Pan, Ke Wang, Yifei Li, Ji Wan, Yafei Li
2025 J jnl
Autonomous dynamic formation for maritime target tracking using multi-agent reinforcement learning.
Eng. Appl. Artif. Intell.
Hua Wang, Jiaxin Li, Hao Tao, Junnan Liu, Chaochao Li, Ke Wang, Mingliang Xu
2025 J jnl
Bi-PIL: Bidirectional Gradient-Free Learning Scheme for Multilayer Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Ke Wang, Binghong Liu, Pandi Liu, Yungao Shi, Ping Guo, Yafei Li, Mingliang Xu
2025 J jnl
Compute-efficient and backpropagation-free pseudoinverse learning for neural networks: A comprehensive survey.
Appl. Soft Comput.
Ke Wang, Pandi Liu, Mohammed A. B. Mahmoud, Ping Guo, Yafei Li
2025 J jnl
Efficient Cooperative Mechanism for Distributed Multi-Agent Traffic Signal Control.
IEEE Trans. Mob. Comput.
Lulu Li, Yafei Li, Shaohui Zhang, Yuanyuan Jin, Shuo He, Ke Wang, Mingliang Xu
2025 J jnl
Hybrid Multi-Granularity Approach for Few-Shot Image Retrieval with Weak Features.
Algorithms
Aiguo Lu, Zican Li, Yanwei Liu, Pandi Liu, Ke Wang
2024 J jnl
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects.
CoRR
Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu
2024 J jnl
Learned Unmanned Vehicle Scheduling for Large-Scale Urban Logistics.
IEEE Trans. Intell. Transp. Syst.
Mei Zhang, Yanli Zeng, Ke Wang, Yafei Li, Qingshun Wu, Mingliang Xu
2024 J jnl
Tailhook Recognition for Carrier-Based Aircraft Based on YOLO with Bi-Level Routing Attention.
Algorithms
Aiguo Lu, Pandi Liu, Jie Yang, Zhe Li, Ke Wang
2023 — conf
DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.
PRCV (6)
Hao Liu, Pengfei Wang, Xin He, Ke Wang, Shaohu Jin, Pengyun Chen, Xiaoheng Jiang, Mingliang Xu
2022 J jnl
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects.
IEEE Trans. Instrum. Meas.
Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu
2022 J jnl
Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection.
Knowl. Based Syst.
Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu
2021 J jnl
A Robust Automated Machine Learning System with Pseudoinverse Learning.
Cogn. Comput.
Ke Wang, Ping Guo
2021 J jnl
An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals.
IEEE Trans. Intell. Transp. Syst.
Ke Wang, Ping Guo
2020 J jnl
Pseudoinverse learning autoencoder with DCGAN for plant diseases classification.
Multim. Tools Appl.
Mohammed A. B. Mahmoud, Ping Guo, Ke Wang
2018 J jnl
Computational Intelligence in Astronomy: A Survey.
Int. J. Comput. Intell. Syst.
Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du
2018 J jnl
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks.
CoRR
Ping Guo, Xiuling Zhou, Ke Wang
2017 B conf
Autoencoder, low rank approximation and pseudoinverse learning algorithm.
SMC
Ke Wang, Ping Guo, Xin Xin, Zebin Ye
2016 B conf
A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition.
IJCNN
Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin
2016 B conf
Deep neural networks with local connectivity and its application to astronomical spectral data.
SMC
Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan
2015 — conf
Angular quantization based affinity propagation clustering and its application to astronomical big spectra data.
IEEE BigData
Ke Wang, Ping Guo, A-Li Luo
2014 B conf
An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data.
SMC
Ke Wang, Ping Guo