← Authors

Xin Yuan

68 papers · 2014–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸ† Keyword Champion 🀝 Dynamic Duo (18) πŸ† Grand Slam πŸ’Ž Century Club (62) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (272)

Conferences

CVPR (16) NIPS (13) AAAI (10) ECCV (10) ICCV (8) EMNLP (3) ICLR (2) ACML (1) COLING (1) ICML (1) INTERSPEECH (1) SEMEVAL (1) WACV (1)

Top co-authors

Yulun Zhang (18) Ping Wang (7) Lishun Wang (6) Michael Maire (5) Jing Lin (5) Ziyi Meng (5) Linghe Kong (5) Haoqian Wang (5) Yuanhao Cai (5) Zheng Chen (5)

Research topics

Optimization & Theory (1)

Keywords

image reconstruction (18) image restoration (8) video reconstruction (8) snapshot compressive imaging (8) hyperspectral imaging (8) compressive imaging (7) compressive sensing (7) diffusion model (5) model compression (4) neural network (4) deep unfolding network (3) image super-resolution (3) spectral compressive imaging (3) hyperspectral image (3) convolutional neural network (3) transfer learning (3) model binarization (3) transformer architecture (2) compressed sensing (2) markov chain monte carlo (2)

Papers

3One2: One-Step Regression plus One-Step Diffusion for One-Hot Modulation in Dual-Path Video Snapshot Compressive Imaging AAAI 2026
Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction AAAI 2026
MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution AAAI 2026
SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal AAAI 2026
High-Speed FHD Full-Color Video Computer-Generated Holography AAAI 2026
Realism Control One-step Diffusion for Real-world Image Super Resolution AAAI 2026
HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning EMNLP 2025
Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction WACV 2025
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging AAAI 2025
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing AAAI 2025
Dual-branch Graph Feature Learning for NLOS Imaging AAAI 2025
Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging CVPR 2025
pFedRAG: A Personalized Federated Retrieval-Augmented Generation System with Depth-Adaptive Tiered Embedding Tuning EMNLP 2025
Binarized Diffusion Model for Image Super-Resolution NIPS 2024
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation NIPS 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NIPS 2024
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging NIPS 2024
SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image CVPR 2024
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024
Binarized Low-light Raw Video Enhancement CVPR 2024
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging ECCV 2024
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging ECCV 2024
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging ECCV 2024
Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023
Binarized Spectral Compressive Imaging NIPS 2023
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation EMNLP 2023
Accurate Image Restoration with Attention Retractable Transformer ICLR 2023
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging ICCV 2023
Deep Optics for Video Snapshot Compressive Imaging ICCV 2023
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging CVPR 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring NIPS 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NIPS 2023
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging ECCV 2022
Cross Aggregation Transformer for Image Restoration NIPS 2022
HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging CVPR 2022
Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction CVPR 2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging NIPS 2022
AdaVocoder: Adaptive Vocoder for Custom Voice INTERSPEECH 2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction ECCV 2022
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction ECCV 2022
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022
Multimodal Contrastive Training for Visual Representation Learning CVPR 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
Memory-Efficient Network for Large-Scale Video Compressive Sensing CVPR 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing CVPR 2021
Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging ICCV 2021
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution ICCV 2021
Growing Efficient Deep Networks by Structured Continuous Sparsification ICLR 2021
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging ECCV 2020
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention ECCV 2020
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity SEMEVAL 2020
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity COLING 2020
Online Hyper-Parameter Learning for Auto-Augmentation Strategy ICCV 2019
AM-LFS: AutoML for Loss Function Search ICCV 2019
Deep Tensor ADMM-Net for Snapshot Compressive Imaging ICCV 2019
Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019
l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement ICCV 2019
Relaxation-Free Deep Hashing via Policy Gradient ECCV 2018
Joint Patch-Group Based Sparse Representation for Image Inpainting ACML 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018
Deep Reinforcement Learning with Iterative Shift for Visual Tracking ECCV 2018
Deep Hashing via Discrepancy Minimization CVPR 2018
Variational Autoencoder for Deep Learning of Images, Labels and Captions NIPS 2016
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014