Xiaokang Yang

Research interests

Publications

• A deep learning system for predicting time to progression of diabetic retinopathy

  Nature Medicine · 2024 · 10.1038/s41591-023-02702-z

• Integrated image-based deep learning and language models for primary diabetes care

  Nature Medicine · 2024 · https://doi.org/10.1038/s41591-024-03139-8

• Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

  Cell Reports Medicine · 2023 · 10.1016/j.xcrm.2023.101213

• Dual Aggregation Transformer for Image Super-Resolution

  · 2023 · 10.1109/iccv51070.2023.01131

• Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

  · 2023 · 10.1109/cvpr52729.2023.01352

• SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

  IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 10.1109/tpami.2022.3166956

• End-to-End Reconstruction-Classification Learning for Face Forgery Detection

  2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 10.1109/cvpr52688.2022.00408

• A deep learning system for detecting diabetic retinopathy across the disease spectrum

  Nature Communications · 2021 · 10.1038/s41467-021-23458-5

• PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

  · 2021 · 10.1109/cvpr46437.2021.01162

• A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation

  IEEE Transactions on Image Processing · 2020 · https://doi.org/10.1109/tip.2020.2966081

• A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence

  IEEE Transactions on Image Processing · 2020 · 10.1109/tip.2020.2966082

• Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

  IEEE Transactions on Multimedia · 2019 · https://doi.org/10.1109/tmm.2019.2902097

• Objective Quality Evaluation of Dehazed Images

  IEEE Transactions on Intelligent Transportation Systems · 2018 · https://doi.org/10.1109/tits.2018.2868771

• Blind Image Quality Estimation via Distortion Aggravation

  IEEE Transactions on Broadcasting · 2018 · 10.1109/tbc.2018.2816783

• Crowd Counting via Adversarial Cross-Scale Consistency Pursuit

  · 2018 · 10.1109/cvpr.2018.00550

• Learning a no-reference quality metric for single-image super-resolution

  Computer Vision and Image Understanding · 2017 · 10.1016/j.cviu.2016.12.009

• Blind Quality Assessment Based on Pseudo-Reference Image

  IEEE Transactions on Multimedia · 2017 · 10.1109/tmm.2017.2788206

• Unsupervised Deep Learning for Optical Flow Estimation

  Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · 10.1609/aaai.v31i1.10723

• Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

  IEEE Transactions on Cybernetics · 2016 · 10.1109/tcyb.2016.2591583

• Saliency-Guided Quality Assessment of Screen Content Images

  IEEE Transactions on Multimedia · 2016 · 10.1109/tmm.2016.2547343

• No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

  IEEE Transactions on Cybernetics · 2016 · 10.1109/tcyb.2016.2575544

• Cross-scene crowd counting via deep convolutional neural networks

  Journal · 2015 · https://doi.org/10.1109/cvpr.2015.7298684

• No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

  IEEE Transactions on Image Processing · 2015 · 10.1109/tip.2015.2439035

• Using Free Energy Principle For Blind Image Quality Assessment

  IEEE Transactions on Multimedia · 2014 · 10.1109/tmm.2014.2373812

• A Psychovisual Quality Metric in Free-Energy Principle

  IEEE Transactions on Image Processing · 2011 · 10.1109/tip.2011.2161092

Current projects

No projects listed.