Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang 001; Rong Wang 001; Xuelong Li 001 (IEEE Signal Process. Lett., 2020)

Fast Local Representation Learning with Adaptive Anchor Graph. - Canyu Zhang 001; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (ICASSP, 2021)

Fast local representation learning via adaptive anchor graph for image retrieval. - Canyu Zhang 001; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Joint nonlinear feature selection and continuous values regression network. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit. Lett., 2021)

Fast unsupervised embedding learning with anchor-based graph. - Canyu Zhang 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2022)

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

Local Embedding Learning via Landmark-Based Dynamic Connections. - Feiping Nie 001; Canyu Zhang 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Local sparse discriminative feature selection. - Canyu Zhang 001; Shaojun Shi; Yanping Chen; Feiping Nie 001; Rong Wang 001 (Inf. Sci., 2024)

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Supervised Feature Selection via Multi-Center and Local Structure Learning. - Canyu Zhang 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Anchor Guided Unsupervised Domain Adaptation. - Canyu Zhang 001; Feiping Nie 001; Rong Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-graph clustering via multi-modal topological manifold learning. - Shaojun Shi; Canyu Zhang 001; Jiahao Zhao; Feiping Nie 001 (Neural Networks, 2026)

Concave Cut: Analyzing the role of concave functions in clustering. - Shenfei Pei; Yuanchen Sun; Zhongqi Lin; Feiping Nie 001; Jitao Lu; Xudong Jiang 001; Canyu Zhang 001; Zengwei Zheng (Pattern Recognit., 2026)

Robust and flexible multi-view subspace clustering with nuclear norm. - Shaojun Shi; Yibing Liu; Canyu Zhang 001; Sisi Wang; Feiping Nie 001 (Pattern Recognit., 2026)