Convolutional neural network-based detector for random-valued impulse noise. - Shaoping Xu; Guizhen Zhang; Lingyan Hu; Tingyun Liu (J. Electronic Imaging, 2018)

A Two-Stage Noise Level Estimation Using Automatic Feature Extraction and Mapping Model. - Shaoping Xu; Tingyun Liu; Guizhen Zhang; Yiling Tang (IEEE Signal Process. Lett., 2019)

Stable generalized finite element method (SGFEM) for parabolic interface problems. - Pengfei Zhu 002; Qinghui Zhang; Tingyun Liu (J. Comput. Appl. Math., 2020)

A fast yet reliable noise level estimation algorithm using shallow CNN-based noise separator and BP network. - Shaoping Xu; Zhenyu Lin; Guizhen Zhang; Tingyun Liu; Xiaohui Yang (Signal Image Video Process., 2020)

Cauchy regularized broad learning system for noisy data regression. - Licheng Liu; Luyang Cai; Tingyun Liu; C. L. Philip Chen; Xiaoqin Tang (Inf. Sci., 2022)

Modal-Regression-Based Broad Learning System for Robust Regression and Classification. - Licheng Liu; Tingyun Liu; C. L. Philip Chen; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification. - Licheng Liu; Junhao Chen; Tingyun Liu; C. L. Philip Chen; Bin Yang 008 (IEEE Trans. Cybern., 2025)