Subspace Clustering of Very Sparse High-Dimensional Data. - Hankui Peng; Nicos G. Pavlidis; Idris A. Eckley; Ioannis Tsalamanis (IEEE BigData, 2018)

Subspace Clustering with Active Learning. - Hankui Peng; Nicos G. Pavlidis (IEEE BigData, 2019)

Subspace clustering and active learning with constraints. - Hankui Peng (2020)

Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning. - Hankui Peng; Nicos G. Pavlidis (CoRR, 2021)

Subspace Change-Point Detection via Low-Rank Matrix Factorisation. - Euan Thomas McGonigle; Hankui Peng (CoRR, 2021)

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. - Hankui Peng; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (WACV, 2022)

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning. - Hankui Peng; Nicos G. Pavlidis (Data Min. Knowl. Discov., 2022)