Color image demosaicking using inter-channel correlation and nonlocal self-similarity. - Kan Chang; Pak Lun Kevin Ding; Baoxin Li (Signal Process. Image Commun., 2015)

Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization. - Kan Chang; Pak Lun Kevin Ding; Baoxin Li (IEEE Signal Process. Lett., 2016)

Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm. - Parag S. Chandakkar; Yikang Li 001; Pak Lun Kevin Ding; Baoxin Li (EDGE, 2017)

Convex dictionary learning for single image super-resolution. - Pak Lun Kevin Ding; Baoxin Li; Kan Chang (ICIP, 2017)

Non-negative dictionary learning with pairwise partial similarity constraint. - Xu Zhou; Pak Lun Kevin Ding; Baoxin Li (ICME, 2017)

Training Neural Networks by Using Power Linear Units (PoLUs). - Yikang Li 001; Pak Lun Kevin Ding; Baoxin Li (CoRR, 2018)

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. - Pak Lun Kevin Ding; Yikang Li 001; Baoxin Li (CoRR, 2018)

Single image super-resolution using collaborative representation and non-local self-similarity. - Kan Chang; Pak Lun Kevin Ding; Baoxin Li (Signal Process., 2018)

Single Image Super Resolution Using Joint Regularization. - Kan Chang; Pak Lun Kevin Ding; Baoxin Li (IEEE Signal Process. Lett., 2018)

Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. - Pak Lun Kevin Ding; Zhiqiang Li; Yuxiang Zhou; Baoxin Li (Image Processing, 2019)

Improving Robustness of Random Forest Under Label Noise. - Xu Zhou; Pak Lun Kevin Ding; Baoxin Li (WACV, 2019)

Data-adaptive low-rank modeling and external gradient prior for single image super-resolution. - Kan Chang; Xueyu Zhang; Pak Lun Kevin Ding; Baoxin Li (Signal Process., 2019)

Improving Batch Normalization with Skewness Reduction for Deep Neural Networks. - Pak Lun Kevin Ding; Sarah Martin; Baoxin Li (ICPR, 2020)

Accurate single image super-resolution using multi-path wide-activated residual network. - Kan Chang; Minghong Li; Pak Lun Kevin Ding; Baoxin Li (Signal Process., 2020)

Super-resolution for Natural Images and Magnetic Resonance Images. - Pak Lun Kevin Ding (2020)

A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution. - Kan Chang; Hengxin Li; Yufei Tan; Pak Lun Kevin Ding; Baoxin Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. - Riti Paul; Sahil Vora; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Baoxin Li; Yuxiang Zhou (AIiH (2), 2024)

MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans. - Sahil Vora; Riti Paul; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Richard Sharpe; Yuxiang Zhou; Baoxin Li (ISBI, 2025)