Yingying Fang

Orcid: 0000-0001-6334-8635

According to our database1, Yingying Fang authored at least 26 papers between 2016 and 2024.

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Bibliography

2024
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.
IEEE Trans. Fuzzy Syst., October, 2024

Guest Editorial: Special Issue on the British Machine Vision Conference 2022.
Int. J. Comput. Vis., September, 2024

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction.
CoRR, 2024

When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI.
CoRR, 2024

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.
Artif. Intell. Medicine, 2024

Dynamic Multimodal Information Bottleneck for Multimodality Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Purified Distillation: Bridging Domain Shift and Category Gap in Incremental Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Grant-Free Random Access in Multicell Massive MIMO Systems with Mixed-Type Devices: Backoff Mechanism Optimizations under Delay Constraints.
KSII Trans. Internet Inf. Syst., 2023

Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19.
CoRR, 2023

2022
Quaternion Screened Poisson Equation for Low-Light Image Enhancement.
IEEE Signal Process. Lett., 2022

Swin transformer for fast MRI.
Neurocomputing, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

Pixel screening based intermediate correction for blind deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A robust non-blind deblurring method using deep denoiser prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020
PowerPrint: Identifying Smartphones through Power Consumption of the Battery.
Secur. Commun. Networks, 2020

Learning deep edge prior for image denoising.
Comput. Vis. Image Underst., 2020

2019
Fast Color Blending for Seamless Image Stitching.
IEEE Geosci. Remote. Sens. Lett., 2019

2017
Charge-Depleting of the Batteries Makes Smartphones Recognizable.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016
Reversible Data Hiding Using Non-local Means Prediction.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016


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