Xin Yuan

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