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Department of Applied Mathematics and Theoretical Physics

I am an Aviva Research Fellow in the Department of Applied Mathematics and Theoretical Physics (DAMTP). I am part of the Cambridge Image Analysis (CIA) group, and a member of the Cambridge Centre for Data-Driven Discovery (C2D3). My research interests mainly lie in the field of clustering, in particular, I am interested in subspace clustering and active learning with applications to image analysis and text mining.  

Publications

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
H Peng, NG Pavlidis
– arXiv
(2021)
36,
958
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, CB Schonlieb
– 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
(2021)
abs/2106.03755,
72
Subspace Clustering with Active Learning
H Peng, NG Pavlidis
– Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
(2019)
00,
135
Subspace Clustering of Very Sparse High-Dimensional Data
H Peng, N Pavlidis, I Eckley, I Tsalamanis
– Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
(2019)
00,
3780