Pak Lun Kevin Ding

According to our database1, Pak Lun Kevin Ding authored at least 22 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Accelerating Realization of Effective Capacity in Lightweight Vision Models via Self-Competitive Distillation.
Algorithms, 2026

2025
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models.
CoRR, November, 2025

Transferable Variational Feedback Network for Vendor and Sequence Generalization in Accelerated MRI.
Big Data Min. Anal., 2025

xScore: A Simple Metric for Cross-Domain Robustness in Lightweight Vision Models.
Algorithms, 2025

MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2022
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

2020
Super-resolution for Natural Images and Magnetic Resonance Images.
PhD thesis, 2020

Accurate single image super-resolution using multi-path wide-activated residual network.
Signal Process., 2020

Improving Batch Normalization with Skewness Reduction for Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution.
Signal Process., 2019

Improving Robustness of Random Forest Under Label Noise.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Single Image Super Resolution Using Joint Regularization.
IEEE Signal Process. Lett., 2018

Single image super-resolution using collaborative representation and non-local self-similarity.
Signal Process., 2018

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval.
CoRR, 2018

Training Neural Networks by Using Power Linear Units (PoLUs).
CoRR, 2018

2017
Non-negative dictionary learning with pairwise partial similarity constraint.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Convex dictionary learning for single image super-resolution.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm.
Proceedings of the IEEE International Conference on Edge Computing, 2017

2016
Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization.
IEEE Signal Process. Lett., 2016

2015
Color image demosaicking using inter-channel correlation and nonlocal self-similarity.
Signal Process. Image Commun., 2015


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