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📚 Research Interests
- Machine Learning, Deep Learning, Graph Neural Networks (GNNs)
- Graph Adversarial attacks and defenses
- Stability and Generalization Theories for Deep Learning and GNNs
- Image Restoration: image denoising, inpainting, super-resolution reconstruction
- 3D Point Cloud Analysis: point cloud classification, segmentation, registration, completion
- Medical Big Data Analysis: medical image segementation, EEG recognition, disease prediction
- Hyperspectral Image Processing: hyperspectral image denoising, classification, unmixing
- Recommender Systems
- Low-Rank Matrix Recovery: optimization algorithm and convergence theory
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