**Yong Guo**

Latest

• Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
• Towards Lightweight Super-Resolution with Dual Regression Learning
• Automated Dominative Subspace Mining for Efficient Neural Architecture Search
• CoDe: An Explicit Content Decoupling Framework for Image Restoration
• Robustifying Token Attention for Vision Transformers
• Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
• Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions
• Improving Robustness by Enhancing Weak Subnets
• Towards Accurate and Compact Architectures via Neural Architecture Transformer
• Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
• NAT: Neural Architecture Transformer for Accurate and Compact Architectures
• Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
• Content-Aware Convolutional Neural Networks
• Contrastive Neural Architecture Search with Neural Architecture Comparators
• Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
• Multi-way Backpropagation for Training Compact Deep Neural Networks
• Improving Generative Adversarial Networks with Local Coordinate Coding
• Disturbance-immune Weight Sharing for Neural Architecture Search
• Double Forward Propagation for Memorized Batch Normalization
• Adversarial Learning with Local Coordinate Coding
• Dynamic Extension Nets for Few-shot Semantic Segmentation
• Hierarchical Neural Architecture Search for Single Image Super-Resolution
• Conditional Automated Channel Pruning for Deep Neural Networks
• Discrimination-aware Network Pruning for Deep Model Compression
• Deep View Synthesis via Self-Consistent Generative Network
• AdaXpert: Adapting Neural Architecture for Growing Data
• Online Feature Selection of Class Imbalance via PA Algorithm
• Discrimination-aware Channel Pruning for Deep Neural Networks