**Yong Guo***

Latest

• Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
• NAT: Neural Architecture Transformer for Accurate and Compact Architectures
• MambaIRv2: Attentive State Space Restoration
• Discrimination-aware Channel Pruning for Deep Neural Networks
• Robustifying Token Attention for Vision Transformers
• Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
• Contrastive Neural Architecture Search with Neural Architecture Comparators
• Towards Accurate and Compact Architectures via Neural Architecture Transformer
• Towards Lightweight Super-Resolution with Dual Regression Learning
• Discrimination-aware Network Pruning for Deep Model Compression
• Improving Generative Adversarial Networks with Local Coordinate Coding
• DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
• Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
• Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis