Yong Guo
32 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
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Conferences
CVPR (9)
AAAI (5)
ICML (5)
NIPS (5)
ICCV (4)
ECCV (1)
ICLR (1)
MICCAI (1)
MIDL (1)
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Keywords
diffusion model
(9)
model compression
(7)
image restoration
(7)
image super-resolution
(7)
diffusion transformer
(3)
neural architecture search
(3)
post-training quantization
(3)
temporal action detection
(2)
architecture optimization
(2)
neural network
(2)
low-bit quantization
(2)
vision transformer
(2)
image generation
(2)
semantic guidance
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semantic segmentation
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latent diffusion
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knowledge distillation
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attention mechanism
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channel pruning
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domain adaptation
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Papers
SODiffοΌSemantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal
AAAI 2026
Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection
MIDL 2026
FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
AAAI 2026
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
AAAI 2026
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
ICML 2025
Effective Diffusion Transformer Architecture for Image Super-Resolution
AAAI 2025
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
AAAI 2025
Segment Any-Quality Images with Generative Latent Space Enhancement
CVPR 2025
MambaIRv2: Attentive State Space Restoration
CVPR 2025
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
CVPR 2025
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
ICCV 2025
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
ICCV 2025
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
ICLR 2025
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
MICCAI 2025
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
ICML 2025
Temporal Action Detection Model Compression by Progressive Block Drop
CVPR 2025
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
NIPS 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NIPS 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
CVPR 2024
CoDe: An Explicit Content Decoupling Framework for Image Restoration
CVPR 2024
Binarized Diffusion Model for Image Super-Resolution
NIPS 2024
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 2023
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
ICCV 2023
Robustifying Token Attention for Vision Transformers
ICCV 2023
Improving Robustness by Enhancing Weak Subnets
ECCV 2022
AdaXpert: Adapting Neural Architecture for Growing Data
ICML 2021
Contrastive Neural Architecture Search With Neural Architecture Comparators
CVPR 2021
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
ICML 2020
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
NIPS 2019
Discrimination-aware Channel Pruning for Deep Neural Networks
NIPS 2018
Adversarial Learning with Local Coordinate Coding
ICML 2018