Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Face and Expression Recognition, and Video Surveillance and Tracking Methods.
DSPF: Dual-Stage Preservation and Fusion for Source-Free Domain Adaptive Point Cloud Completion
Few-Shot Domain Adaptation via Mixup Optimal Transport
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning
A zero-shot learning framework via cluster-prototype matching
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning
Heterogeneous Recommendation via Deep Low-rank Sparse Collective Factorization
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption
Adaptive Graph Guided Embedding for Multi-label Annotation
Block-wise constrained sparse graph for face image representation
Latent Tensor Transfer Learning for RGB-D Action Recognition
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition