Incremental sparse linear regression algorithms for face recognition. - Xiaolan Liu 003; Jiao Liu; Xiaolan Liu 003; Zhaoming Kong; Xiaowei Yang 003 (ICACI, 2018)

A Brief Review of Real-World Color Image Denoising. - Zhaoming Kong; Xiaowei Yang (CoRR, 2018)

A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. - Zhaoming Kong; Le Han; Xiaolan Liu 003; Xiaowei Yang 003 (IEEE Trans. Medical Imaging, 2018)

Color Image and Multispectral Image Denoising Using Block Diagonal Representation. - Zhaoming Kong; Xiaowei Yang (IEEE Trans. Image Process., 2019)

A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods. - Zhaoming Kong; Xiaowei Yang 003; Lifang He 001 (CoRR, 2020)

Multiplex Graph Networks for Multimodal Brain Network Analysis. - Zhaoming Kong; Lichao Sun 001; Hao Peng 001; Liang Zhan; Yong Chen 016; Lifang He 001 (CoRR, 2021)

Structure-Preserving Graph Kernel for Brain Network Classification. - Jun Yu; Zhaoming Kong; Aditya Kendre; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Alex D. Leow; Lifang He 001 (ISBI, 2022)

Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. - Jun Yu; Zhaoming Kong; Liang Zhan; Li Shen 001; Lifang He 001 (CoRR, 2022)

Federated Multi-view Learning for Private Medical Data Integration and Analysis. - Sicong Che; Zhaoming Kong; Hao Peng 001; Lichao Sun 001; Alex D. Leow; Yong Chen 016; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

A Comparison of Image Denoising Methods. - Zhaoming Kong; Fangxi Deng; Haomin Zhuang; Xiaowei Yang 003; Jun Yu; Lifang He 001 (CoRR, 2023)

Robust unsupervised feature selection via data relationship learning. - Pei Huang 019; Zhaoming Kong; Mengying Xie; Xiaowei Yang 003 (Pattern Recognit., 2023)

TGNet: tensor-based graph convolutional networks for multimodal brain network analysis. - Zhaoming Kong; Rong Zhou; Xinwei Luo; Songlin Zhao; Ann B. Ragin; Alex D. Leow; Lifang He 001 (BioData Min., 2024)

Color Image Denoising Using The Green Channel Prior. - Zhaoming Kong; Xiaowei Yang (CoRR, 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

Image Denoising Using Green Channel Prior. - Zhaoming Kong; Fangxi Deng; Xiaowei Yang (CoRR, 2024)

A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis. - Jun Yu; Zhaoming Kong; Kun Chen 002; Xin Zhang; Yong Chen 016; Lifang He 001 (Trans. Mach. Learn. Res., 2024)

An adaptive global-local interactive non-local boosting network for mixed noise removal. - Yuefei Zhang; Mengying Xie; Zhaoming Kong; Shaojiang Deng; Xiaowei Yang 003 (Expert Syst. Appl., 2025)

Image Denoising Using Green Channel Prior. - Zhaoming Kong; Fangxi Deng; Xiaowei Yang 003 (IEEE Trans. Image Process., 2025)

Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning. - Pei Huang 019; Zhaoming Kong; Limin Wang 011; Xuming Han; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)