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Yong Guo$^*$

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