Pak Lun Kevin Ding

22 papers A 2B 3Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models.
CoRR
Weidong Zhang, Pak Lun Kevin Ding, Huan Liu
2025 — conf
MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans.
ISBI
Sahil Vora, Riti Paul, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Richard Sharpe, Yuxiang Zhou, Baoxin Li
2025 J jnl
Transferable Variational Feedback Network for Vendor and Sequence Generalization in Accelerated MRI.
Big Data Min. Anal.
Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou
2025 J jnl
xScore: A Simple Metric for Cross-Domain Robustness in Lightweight Vision Models.
Algorithms
Weidong Zhang, Pak Lun Kevin Ding, Baoxin Li, Huan Liu
2024 — conf
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI.
AIiH (2)
Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou
2022 J jnl
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Kan Chang, Hengxin Li, Yufei Tan, Pak Lun Kevin Ding, Baoxin Li
2020 J jnl
Accurate single image super-resolution using multi-path wide-activated residual network.
Signal Process.
Kan Chang, Minghong Li, Pak Lun Kevin Ding, Baoxin Li
2020 J jnl
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition.
CoRR
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
2020 B conf
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks.
ICPR
Pak Lun Kevin Ding, Sarah Martin, Baoxin Li
2020 — —
Super-resolution for Natural Images and Magnetic Resonance Images.
Pak Lun Kevin Ding
2019 J jnl
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution.
Signal Process.
Kan Chang, Xueyu Zhang, Pak Lun Kevin Ding, Baoxin Li
2019 B conf
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition.
Image Processing
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
2019 A conf
Improving Robustness of Random Forest Under Label Noise.
WACV
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
2018 J jnl
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval.
CoRR
Pak Lun Kevin Ding, Yikang Li, Baoxin Li
2018 J jnl
Single Image Super Resolution Using Joint Regularization.
IEEE Signal Process. Lett.
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
2018 J jnl
Single image super-resolution using collaborative representation and non-local self-similarity.
Signal Process.
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
2018 J jnl
Training Neural Networks by Using Power Linear Units (PoLUs).
CoRR
Yikang Li, Pak Lun Kevin Ding, Baoxin Li
2017 B conf
Convex dictionary learning for single image super-resolution.
ICIP
Pak Lun Kevin Ding, Baoxin Li, Kan Chang
2017 A conf
Non-negative dictionary learning with pairwise partial similarity constraint.
ICME
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
2017 — conf
Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm.
EDGE
Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li
2016 J jnl
Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization.
IEEE Signal Process. Lett.
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
2015 J jnl
Color image demosaicking using inter-channel correlation and nonlocal self-similarity.
Signal Process. Image Commun.
Kan Chang, Pak Lun Kevin Ding, Baoxin Li