Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, and Advanced Image Processing Techniques.
Advanced modification strategies for improving the thermal stability of Ni-rich layered cathodes towards next-generation lithium-ion batteries
Decomposing Semantic Shifts for Composed Image Retrieval
Recent Advances for Quantum Neural Networks in Generative Learning
Robust Unpaired Image Dehazing via Density and Depth Decomposition
Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition
RKformer: Runge-Kutta Transformer with Random-Connection Attention for Infrared Small Target Detection
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
MRI-based Alzheimer’s disease prediction via distilling the knowledge in multi-modal data
A parallel attention‐augmented bilinear network for early magnetic resonance imaging‐based diagnosis of Alzheimer's disease
Syntax-Aware Action Targeting for Video Captioning
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation
Self-Supervised Pose Adaptation for Cross-Domain Image Animation
Evolutionary Generative Adversarial Networks
Multistage GAN for Fabric Defect Detection
Perceptual Adversarial Networks for Image-to-Image Transformation
Tag Disentangled Generative Adversarial Network for Object Image Re-rendering