**Yong Guo**

Latest

• Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
• MambaIRv2: Attentive State Space Restoration
• Discrimination-aware Channel Pruning for Deep Neural Networks
• NAT: Neural Architecture Transformer for Accurate and Compact Architectures
• 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
• DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
• One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
• UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks
• DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
• 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
• Towards Accurate and Compact Architectures via Neural Architecture Transformer
• Content-Aware Convolutional Neural Networks
• 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
• 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
• Online Feature Selection of Class Imbalance via PA Algorithm