Area of research
Computer Vision and Pattern Recognition · Molecular Biology
Research interest
Research interests include Face and Expression Recognition, Bioinformatics and Genomic Networks, Gene expression and cancer classification, and Sparse and Compressive Sensing Techniques.
Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data
Unsupervised Domain Adaptation via Discriminative Manifold Propagation
Dual Adversarial Autoencoders for Clustering
Discriminative multi-scale sparse coding for single-sample face recognition with occlusion
Learning Kernel Extended Dictionary for Face Recognition
Determining minimum set of driver nodes in protein-protein interaction networks
Detecting temporal protein complexes from dynamic protein-protein interaction networks
Noisy 1-bit compressive sensing: models and algorithms
Structured Sparse Error Coding for Face Recognition With Occlusion
Coupled Kernel Embedding for Low-Resolution Face Image Recognition
Robust classification using ℓ2,1-norm based regression model
Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage
Reflectance Estimation Using Local Regression Methods