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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 Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning
H Peng, NG Pavlidis
– arXiv
(2021)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, C-B Schonlieb
– CoRR
(2021)
abs/2106.03755,
Subspace Clustering with Active Learning
H Peng, NG Pavlidis
– 2019 IEEE International Conference on Big Data (Big Data)
(2019)
00,
135
Subspace Clustering of Very Sparse High-Dimensional Data
H Peng, N Pavlidis, I Eckley, I Tsalamanis
– 2018 IEEE International Conference on Big Data (Big Data)
(2019)
00,
3780

Research Group

Cambridge Image Analysis

Room

F2.02

Telephone

01223 760404