Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Classifier (UML), Machine learning, Domain (mathematical analysis), and Adversarial system.
Revisiting Random Channel Pruning for Neural Network Compression
Correction: Insights into the post-translational modification and its emerging role in shaping the tumor microenvironment
Insights into the post-translational modification and its emerging role in shaping the tumor microenvironment
Scale-Aware Domain Adaptive Faster R-CNN
VDM-DA: Virtual Domain Modeling for Source Data-Free Domain Adaptation
A novel progressively undersampling method based on the density peaks sequence for imbalanced data
Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation
Collaborative and Adversarial Network for Unsupervised Domain Adaptation
Dividing and Aggregating Network for Multi-view Action Recognition
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs
Image Classification by Cross-Media Active Learning With Privileged Information
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification
Multi-view Domain Generalization for Visual Recognition