My current research interests mainly consist of Multimedia Data Mining & Machine Learning, Image Processing & Computer Vision. More specifically, I am interested in:

(1) Representation Learning & Data Analytics: Deep Representation Learning, Low-Rank Representation, Sparse Representation by Dictionary Learning, Concept Factorization, Manifold Learning and Feature Extraction, with their applications to both low-level (e.g., Image Recovery, Denoising and Enhancement) and high-level vision tasks (e.g., Image Classification, Clustering, Segmentation, Object Detection and Recognition).

(2) Semi-Supervised Classifier Modeling: Robust Graph based Label Propagation Algorithms, with their applications as classifiers to Partially Labeled Image Classification.


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