Area of research
Computer Vision and Pattern Recognition · Signal Processing
Research interest
Research interests include Computer science, Artificial intelligence, Pattern recognition (psychology), Noise reduction, Sparse approximation, and Regularization (linguistics).
Multimodal Evidential Learning for Open-World Weakly-Supervised Video Anomaly Detection
Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising
Toward Mobile Palmprint Recognition via Multi-View Hierarchical Graph Learning
A Dual-Level Cancelable Framework for Palmprint Verification and Hack-Proof Data Storage
Robust and Sparse Least Square Regression for Finger Vein and Finger Knuckle Print Recognition
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis
Joint Discriminative Analysis With Low-Rank Projection for Finger Vein Feature Extraction
Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising
Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval
Application of improved virtual sample and sparse representation in face recognition
Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization
Consensus guided incomplete multi-view spectral clustering
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification
Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation
Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics