A Novel Co-clustering Method with Intra-similarities. - Jian-Sheng Wu; Jian-Huang Lai; Chang-Dong Wang 001 (ICDM Workshops, 2011)

Euler Clustering. - Jian-Sheng Wu; Wei-Shi Zheng 001; Jian-Huang Lai (IJCAI, 2013)

Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines. - Jian-Sheng Wu; Zhi-Hua Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning. - Jian-Sheng Wu; Sheng-Jun Huang; Zhi-Hua Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Effective computation-aware algorithm by inter-layer motion analysis for scalable video coding. - Jian-Sheng Wu; Kuang-Han Tai; Gwo-Long Li; Mei-Juan Chen; Yung-Hsiang Tang (J. Vis. Commun. Image Represent., 2015)

Approximate kernel competitive learning. - Jian-Sheng Wu; Wei-Shi Zheng 001; Jian-Huang Lai (Neural Networks, 2015)

How many clusters? A robust PSO-based local density model. - Hui-Liang Ling; Jian-Sheng Wu; Yi Zhou 005; Wei-Shi Zheng 001 (Neurocomputing, 2016)

Corrigendum to "How many clusters? A robust PSO-based local density model" [Neurocomputing 207 (2016) 264-275]. - Hui-Liang Ling; Jian-Sheng Wu; Yi Zhou 005; Wei-Shi Zheng 001 (Neurocomputing, 2017)

Euler Clustering on Large-Scale Dataset. - Jian-Sheng Wu; Wei-Shi Zheng 001; Jian-Huang Lai; Ching Y. Suen (IEEE Trans. Big Data, 2018)

Ultra-Scalable Spectral Clustering and Ensemble Clustering. - Dong Huang 001; Chang-Dong Wang 001; Jian-Sheng Wu; Jian-Huang Lai; Chee-Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2020)

Joint adaptive manifold and embedding learning for unsupervised feature selection. - Jian-Sheng Wu; Meng-Xiao Song; Weidong Min; Jian-Huang Lai; Wei-Shi Zheng 001 (Pattern Recognit., 2021)

SwinE-UNet3+: swin transformer encoder network for medical image segmentation. - Ping Zou; Jian-Sheng Wu (Prog. Artif. Intell., 2023)

Dictionary learning for unsupervised feature selection via dual sparse regression. - Jian-Sheng Wu; Jing-Xin Liu; Jun-Yun Wu; Wei Huang (Appl. Intell., 2023)

Multi-level correlation learning for multi-view unsupervised feature selection. - Jian-Sheng Wu; Jun-Xiao Gong; Jing-Xin Liu; Weidong Min (Knowl. Based Syst., 2023)

Joint Cauchy dictionary learning and graph learning for unsupervised feature selection. - Jing-Xin Liu; Qing-Peng Zeng; Jian-Sheng Wu; Wei Huang (Eng. Appl. Artif. Intell., 2024)

Collaborative and Discriminative Subspace Learning for unsupervised multi-view feature selection. - Jian-Sheng Wu; Yanlan Li; Jun-Xiao Gong; Weidong Min (Eng. Appl. Artif. Intell., 2024)

Dual-level feature assessment for unsupervised multi-view feature selection with latent space learning. - Jian-Sheng Wu; Jun-Xiao Gong; Jing-Xin Liu; Wei Huang; Wei-Shi Zheng 001 (Inf. Sci., 2024)

Cluster structure augmented deep nonnegative matrix factorization with low-rank tensor learning. - Bo Zhong; Jian-Sheng Wu; Wei Huang; Wei-Shi Zheng 001 (Inf. Sci., 2024)

Multi-view deep reciprocal nonnegative matrix factorization. - Bo Zhong; Jun-Yun Wu; Jian-Sheng Wu; Weidong Min (Eng. Appl. Artif. Intell., 2025)

Confident local similarity graphs for unsupervised feature selection on incomplete multi-view data. - Hong-Wei Yu; Jun-Yun Wu; Jian-Sheng Wu; Weidong Min (Knowl. Based Syst., 2025)

Learning missing instances in intact and projection spaces for incomplete multi-view unsupervised feature selection. - Jian-Sheng Wu; Hong-Wei Yu; Yanlan Li; Weidong Min (Appl. Intell., 2025)

High-order Aligned Deep Complementary and View-Specific Similarity Graphs for Unsupervised Multi-View Feature Selection. - Jian-Sheng Wu; Jia-Tao Yu; Jun-Yun Wu; Weidong Min; Wei-Shi Zheng 001 (Pattern Recognit., 2026)