Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection. - Zhengxin Li; Feiping Nie 001; Jintang Bian; Xuelong Li 001 (CoRR, 2020)

Unsupervised Discriminative Projection for Feature Selection. - Rong Wang 001; Jintang Bian; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Sparse PCA via $ ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection. - Zhengxin Li; Feiping Nie 001; Jintang Bian; Danyang Wu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unsupervised Subspace Learning With Flexible Neighboring. - Weizhong Yu; Jintang Bian; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Sparse and Flexible Projections for Unsupervised Feature Selection. - Rong Wang 001; Canyu Zhang; Jintang Bian; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Nonlinear Feature Selection Neural Network via Structured Sparse Regularization. - Rong Wang 001; Jintang Bian; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Differentiable gated autoencoders for unsupervised feature selection. - Zebin Chen; Jintang Bian; Bo Qiao 003; Xiaohua Xie (Neurocomputing, 2024)

Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement. - Jintang Bian; Xiaohua Xie; Jian-Huang Lai; Feiping Nie 001 (Inf. Fusion, 2024)

Multi-view clustering via latent consistency multi-graph fusion. - Dandan Zhao; Jintang Bian; Hongpeng Yin; Yuyu Huang; Yan Qin (Knowl. Based Syst., 2024)

Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. - Jintang Bian; Dandan Zhao; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multiplex graph aggregation and feature refinement for unsupervised incomplete multimodal emotion recognition. - Yuanyue Deng; Jintang Bian; Shisong Wu; Jianhuang Lai; Xiaohua Xie (Inf. Fusion, 2025)

Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. - Jintang Bian; Xiaohua Xie; Chang-Dong Wang 001; Lingxiao Yang; Jian-Huang Lai; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2025)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data. - Dandan Zhao; Hongpeng Yin; Jintang Bian; Han Zhou (CoRR, 2025)

Multilevel Contrastive Multiview Clustering With Dual Self-Supervised Learning. - Jintang Bian; Yixiang Lin; Xiaohua Xie; Chang-Dong Wang 001; Lingxiao Yang; Jian-Huang Lai; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)