Multiscale phase congruency analysis for image edge visual saliency detection. - Wei Gao 003; Sam Kwong; Yu Zhou 027; Yuheng Jia; Jia Zhang 002; Wenhui Wu 001 (ICMLC, 2016)

Convex Constrained Clustering with Graph-Laplacian Pca. - Yuheng Jia; Sam Kwong; Junhui Hou; Wenhui Wu 001 (ICME, 2018)

Nonnegative matrix factorization with mixed hypergraph regularization for community detection. - Wenhui Wu 001; Sam Kwong; Yu Zhou 027; Yuheng Jia; Wei Gao 003 (Inf. Sci., 2018)

Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization. - Wenhui Wu 001; Yuheng Jia; Sam Kwong; Junhui Hou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Sparse Bayesian Learning-Based Kernel Poisson Regression. - Yuheng Jia; Sam Kwong; Wenhui Wu 001; Ran Wang 001; Wei Gao 003 (IEEE Trans. Cybern., 2019)

Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization. - Wenhui Wu 001; Sam Kwong; Junhui Hou; Yuheng Jia; Horace Ho-Shing Ip (IEEE Trans. Image Process., 2019)

Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization. - Yuheng Jia; Sam Kwong; Junhui Hou; Wenhui Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Structure Adaptive Filtering for Edge-Preserving Image Smoothing. - Wenming Tang; Yuanhao Gong; Linyu Su; Wenhui Wu 001; Guoping Qiu (ICIG (3), 2021)

Positive and Negative Label-Driven Nonnegative Matrix Factorization. - Wenhui Wu 001; Yuheng Jia; Shiqi Wang 001; Ran Wang 001; Hongfei Fan; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. - Hua Li 012; Yuheng Jia; Runmin Cong; Wenhui Wu 001; Sam Tak-Wu Kwong; Chuanbo Chen (IEEE Trans. Ind. Informatics, 2021)

Joint Optimization for Pairwise Constraint Propagation. - Yuheng Jia; Wenhui Wu 001; Ran Wang 001; Junhui Hou; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2021)

URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement. - Wenhui Wu 001; Jian Weng 009; Pingping Zhang; Xu Wang 006; Wenhan Yang; Jianmin Jiang (CVPR, 2022)

Self-supervised Indoor 360-Degree Depth Estimation via Structural Regularization. - Weifeng Kong; Qiudan Zhang; You Yang; Tiesong Zhao; Wenhui Wu 001; Xu Wang 006 (PRICAI (3), 2022)

No-reference image quality assessment by using convolutional neural networks via object detection. - Jingchao Cao; Wenhui Wu 001; Ran Wang 001; Sam Kwong (Int. J. Mach. Learn. Cybern., 2022)

Hybrid Prior-Based Diminished Reality for Indoor Panoramic Images. - Jiashu Liu; Qiudan Zhang; Xuelin Shen; Wenhui Wu 001; Xu Wang 006 (CGI (3), 2023)

A Multi-Stream Network for Mesh Denoising Via Graph Neural Networks with Gaussian Curvature. - Zhibo Zhao; Wenhui Wu 001; Hongjie Liu; Yuanhao Gong (ICIP, 2023)

Contrastive Subspace Clustering with Dissimilarity Regularization. - Yu-Jie Chen; Wenhui Wu 001; Le Ou-Yang (ICMLC, 2023)

Multi-View Super Resolution for Underwater Images Utilizing Atmospheric Light Scattering Model. - Jin Hao; Wenli Duan; Guangfei Li; Shiyan Chen; Wenhui Wu 001; Hua Li 012 (ICPADS, 2023)

Removing Scattered Light in Biomedical Images. - Yuanhao Gong; Wanlin Huang; Wenhui Wu 001 (ISBI, 2023)

3D Hand Bones and Tissue Estimation from a Single 2D X-Ray Image Via a Two-Stream Deep Neural Network. - Wanlin Huang; Wenhui Wu 001; Yuanhao Gong (ISBI, 2023)

FSNet: Frequency Domain Guided Superpixel Segmentation Network for Complex Scenes. - Hua Li 012; Junyan Liang; Wenjie Li; Wenhui Wu 001 (ACM Multimedia, 2023)

Improving Federated Person Re-Identification through Feature-Aware Proximity and Aggregation. - Pengling Zhang; Huibin Yan; Wenhui Wu 001; Shuoyao Wang (ACM Multimedia, 2023)

Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment. - Xiaoxu Xu; Yitian Yuan; Qiudan Zhang; Wenhui Wu 001; Zequn Jie; Lin Ma 002; Xu Wang 006 (CoRR, 2023)

Self-representative kernel concept factorization. - Wenhui Wu 001; Yujie Chen; Ran Wang 001; Le Ou-Yang (Knowl. Based Syst., 2023)

Semi-supervised adaptive kernel concept factorization. - Wenhui Wu 001; Junhui Hou; Shiqi Wang 001; Sam Kwong; Yu Zhou 027 (Pattern Recognit., 2023)

Atmospheric Scattering Model Induced Statistical Characteristics Estimation for Underwater Image Restoration. - Shuaibo Gao; Wenhui Wu 001; Hua Li 012; Linwei Zhu; Xu Wang 006 (IEEE Signal Process. Lett., 2023)

Imbalanced Multifault Diagnosis via Improved Localized Feature Selection. - Yu Zhou 027; Lin Gao; Dong Wang 001; Wenhui Wu 001; Zhiqiang Zhou; Tingqun Ye (IEEE Trans. Instrum. Meas., 2023)

On the Adversarial Robustness of Hierarchical Classification. - Ran Wang 001; Simeng Zeng; Wenhui Wu 001; Yuheng Jia; Wing W. Y. Ng; Xizhao Wang (SMC, 2024)

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling. - Xu Wang 006; Yifan Li; Qiudan Zhang; Wenhui Wu 001; Mark Junjie Li; Jianmin Jinag (CoRR, 2024)

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (CoRR, 2024)

Adversarially robust neural networks with feature uncertainty learning and label embedding. - Ran Wang 001; Haopeng Ke; Meng Hu; Wenhui Wu 001 (Neural Networks, 2024)

Stereo Superpixel Segmentation via Decoupled Dynamic Spatial-Embedding Fusion Network. - Hua Li 012; Junyan Liang; Ruiqi Wu; Runmin Cong; Wenhui Wu 001; Sam Tak-Wu Kwong (IEEE Trans. Multim., 2024)

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-Labeling. - Xu Wang 006; Yifan Li; Qiudan Zhang; Wenhui Wu 001; Mark Junjie Li; Lin Ma 002; Jianmin Jiang (IEEE Trans. Multim., 2024)

Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net. - Yu Zhou 027; Jingtao Xie; Xiao Zhang 006; Wenhui Wu 001; Sam Kwong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Neural Network Based Multi-Level In-Loop Filtering for Versatile Video Coding. - Linwei Zhu; Yun Zhang 002; Na Li 015; Wenhui Wu 001; Shiqi Wang 001; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Structure-based, deep-learning models for protein-ligand binding affinity prediction. - Debby D. Wang; Wenhui Wu 001; Ran Wang 001 (J. Cheminformatics, 2024)

Image Intrinsic Components Guided Conditional Diffusion Model for Low-Light Image Enhancement. - Sicong Kang; Shuaibo Gao; Wenhui Wu 001; Xu Wang 006; Shuoyao Wang; Guoping Qiu (IEEE Trans. Circuits Syst. Video Technol., 2024)

GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. - Yujie Chen; Wenhui Wu 001; Le Ou-Yang; Ran Wang 001; Debby D. Wang (AAAI, 2025)

HNR-ISC: Hybrid Neural Representation for Image Set Compression. - Pingping Zhang; Shiqi Wang 001; Meng Wang 017; Peilin Chen 001; Wenhui Wu 001; Xu Wang 006; Sam Kwong (IEEE Trans. Multim., 2025)

GRESS: Grouping Belief-Based Deep Contrastive Subspace Clustering. - Yujie Chen; Wenhui Wu 001; Le Ou-Yang; Ran Wang 001; Sam Kwong (IEEE Trans. Cybern., 2025)

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

RGB-D Data Compression via Bi-Directional Cross-Modal Prior Transfer and Enhanced Entropy Modeling. - Yuyu Xu; Pingping Zhang; Minghui Chen; Qiudan Zhang; Wenhui Wu 001; Yun Zhang 002; Xu Wang 006 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Feature Statistics with Uncertainty Help Adversarial Robustness. - Ran Wang 001; Xinlei Zhou; Rihao Li; Meng Hu; Wenhui Wu 001; Yuheng Jia (CoRR, 2025)

Interpretable Optimization-Inspired Unfolding Network for Low-Light Image Enhancement. - Wenhui Wu 001; Jian Weng 009; Pingping Zhang; Xu Wang 006; Wenhan Yang; Jianmin Jiang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)