Yong Guo
32 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Deep Learning
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Machine Learning
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Computer Vision
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Artificial Intelligence
(9)
Architectures
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diffusion model
(10)
model compression
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image restoration
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image super-resolution
(7)
post-training quantization
(3)
neural architecture search
(3)
knowledge distillation
(3)
diffusion transformer
(3)
semantic guidance
(2)
channel pruning
(2)
temporal action detection
(2)
vision transformer
(2)
image generation
(2)
architecture optimization
(2)
low-bit quantization
(2)
latent diffusion
(2)
one-step generation
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attention mechanism
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semantic segmentation
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neural network
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Papers
FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
AAAI 2026
Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection
MIDL 2026
QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
AAAI 2026
SODiff:Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal
AAAI 2026
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
ICML 2025
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
ICCV 2025
Effective Diffusion Transformer Architecture for Image Super-Resolution
AAAI 2025
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
ICLR 2025
MambaIRv2: Attentive State Space Restoration
CVPR 2025
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
ICML 2025
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
CVPR 2025
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
MICCAI 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
Temporal Action Detection Model Compression by Progressive Block Drop
CVPR 2025
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
ICCV 2025
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
NeurIPS 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
CVPR 2024
Binarized Diffusion Model for Image Super-Resolution
NeurIPS 2024
CoDe: An Explicit Content Decoupling Framework for Image Restoration
CVPR 2024
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
NeurIPS 2024
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
ICCV 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 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
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
ICML 2020
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
NeurIPS 2019
Adversarial Learning with Local Coordinate Coding
ICML 2018
Discrimination-aware Channel Pruning for Deep Neural Networks
NeurIPS 2018