Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Face and Expression Recognition, Domain Adaptation and Few-Shot Learning, Higher Education and Teaching Methods, and Radiomics and Machine Learning in Medical Imaging.
Dual representation learning for one-step clustering of multi-view data
Cognitive impairments and neurobiological changes induced by unilateral vestibular dysfunction in mice
Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model
Rich-club reorganization and related network disruptions are associated with the symptoms and severity in classic trigeminal neuralgia patients
Study of bone marrow microstructure in healthy young adults using intravoxel incoherent motion diffusion-weighted MRI
Performance of PROPELLER FSE T2WI in reducing metal artifacts of material porcelain fused to metal crown: a clinical preliminary study
Glioma invasion along white matter tracts: A dilemma for neurosurgeons
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation
Association of changes in nursing work environment, non-professional tasks, and nursing care left undone with nurse job outcomes and quality of care: A panel study
Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Multi‐task diagnosis for autism spectrum disorders using multi‐modality features: A multi‐center study