Yukun Zhou
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis.
CoRR, August, 2025
A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs.
CoRR, July, 2025
GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning.
CoRR, June, 2025
CoRR, March, 2025
Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases?
CoRR, February, 2025
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR, January, 2025
CoRR, January, 2025
IEEE Data Eng. Bull., 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
CF-Loss: Clinically-relevant feature optimised loss function for retinal multi-class vessel segmentation and vascular feature measurement.
Medical Image Anal., 2024
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels.
CoRR, 2024
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting.
CoRR, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.
CoRR, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Enhancing Model Generalisability Through Sampling Diverse and Balanced Retinal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Automatically transferring supervised targets method for segmenting lung lesion regions with CT imaging.
BMC Bioinform., December, 2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023
CoRR, 2023
Sound Source Identification Combining Compressed Sensing Sparse Sampling and Equivalent Source Method.
Proceedings of the 28th International Conference on Automation and Computing, 2023
2022
Experimental Study on the Potential of Vehicle's Attitude Response to Railway Track Irregularity in Precise Train Localization.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm.
Inf., 2022
CoRR, 2022
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation.
CoRR, 2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
Uncertainty analysis of ATF Cr-coated-Zircaloy on BWR in-vessel accident progression during a station blackout.
Reliab. Eng. Syst. Saf., 2021
A refined equilibrium generative adversarial network for retinal vessel segmentation.
Neurocomputing, 2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR, 2021
A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis.
Appl. Intell., 2021
Implementation of Cryptographic Algorithm in Dynamic QR Code Payment System and Its Performance.
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2020
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
A Symmetric Equilibrium Generative Adversarial Network with Attention Refine Block for Retinal Vessel Segmentation.
CoRR, 2019
Kinematic Measurement of the Railway Track Centerline Position by GNSS/INS/Odometer Integration.
IEEE Access, 2019
2018
Acetylcholinesterase Biosensor Based On Mesoporous Hollow Carbon Spheres/Core-Shell Magnetic Nanoparticles-Modified Electrode for the Detection of Organophosphorus Pesticides.
Sensors, 2018
Frontiers Inf. Technol. Electron. Eng., 2018
A similarity-aware encrypted deduplication scheme with flexible access control in the cloud.
Future Gener. Comput. Syst., 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
DARM: A Deduplication-Aware Redundancy Management Approach for Reliable-Enhanced Storage Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
2017
A Fast Asymmetric Extremum Content Defined Chunking Algorithm for Data Deduplication in Backup Storage Systems.
IEEE Trans. Computers, 2017
Reducing Chunk Fragmentation for In-Line Delta Compressed and Deduplicated Backup Systems.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
2016
Proc. IEEE, 2016
FastCDC: a Fast and Efficient Content-Defined Chunking Approach for Data Deduplication.
Proceedings of the 2016 USENIX Annual Technical Conference, 2016
Security RBSG: Protecting Phase Change Memory with Security-Level Adjustable Dynamic Mapping.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
2015
SecDep: A user-aware efficient fine-grained secure deduplication scheme with multi-level key management.
Proceedings of the IEEE 31st Symposium on Mass Storage Systems and Technologies, 2015
AE: An Asymmetric Extremum content defined chunking algorithm for fast and bandwidth-efficient data deduplication.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
2014
Perform. Evaluation, 2014