Smoothing Trust Region for Digital Image Restoration. - Ruizhi Zhou; Lingfeng Niu; Zhiquan Qi (WI-IAT (3), 2015)

Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. - Lingfeng Niu; Ruizhi Zhou; Yingjie Tian 001; Zhiquan Qi; Peng Zhang 001 (IEEE Trans. Cybern., 2017)

A fast algorithm for nonsmooth penalized clustering. - Ruizhi Zhou; Xin Shen 003; Lingfeng Niu (Neurocomputing, 2018)

Feature Selection of Network Data VIA ℓ2, p Regularization. - Ruizhi Zhou; Lingfeng Niu (Cogn. Comput., 2020)

Unsupervised feature selection for attributed graphs. - Ruizhi Zhou; Lingfeng Niu; Hong Yang 003 (Expert Syst. Appl., 2021)

Anomaly detection in dynamic attributed networks. - Ruizhi Zhou; Qin Zhang 011; Peng Zhang 001; Lingfeng Niu; Xiaodong Lin 004 (Neural Comput. Appl., 2021)

MDF-Net: Multimodal Deep Fusion for Large-Scale Product Recognition. - Yanling Pan; Ruizhi Zhou; Gang Zhao; Weijuan Zhang; Delong Chen; Fan Liu 003 (CCBR, 2022)

A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting. - Delong Chen; Ruizhi Zhou; Yanling Pan; Fan Liu 003 (CoRR, 2022)

Self-Supervised Music Motion Synchronization Learning for Music-Driven Conducting Motion Generation. - Fan Liu 003; Delong Chen; Ruizhi Zhou; Sai Yang; Feng Xu 008 (J. Comput. Sci. Technol., 2022)

Sparse CapsNet with explicit regularizer. - Ruiyang Shi; Lingfeng Niu; Ruizhi Zhou (Pattern Recognit., 2022)

Diluted binary neural network. - Yuhan Lin; Lingfeng Niu; Yang Xiao 017; Ruizhi Zhou (Pattern Recognit., 2023)

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. - Lingyun Song; Xuequn Shang 001; Ruizhi Zhou; Jun Liu 002; Jie Ma 001; Zhanhuai Li; Mingxuan Sun (Neural Networks, 2024)

Sparse optimization guided pruning for neural networks. - Yong Shi 001; Anda Tang; Lingfeng Niu; Ruizhi Zhou (Neurocomputing, 2024)

Sparse loss-aware ternarization for neural networks. - Ruizhi Zhou; Lingfeng Niu; Dachuan Xu (Inf. Sci., 2025)