| Strategies for re-training a pruned neural network in an edge computing paradigm PS Chandakkar, Y Li, PLK Ding, B Li 2017 IEEE International Conference on Edge Computing (EDGE), 244-247, 2017 | 51 | 2017 |
| Single image super-resolution using collaborative representation and non-local self-similarity K Chang, PLK Ding, B Li Signal Processing 149, 49-61, 2018 | 50 | 2018 |
| Single image super resolution using joint regularization K Chang, PLK Ding, B Li IEEE Signal Processing Letters 25 (4), 596-600, 2018 | 46 | 2018 |
| Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition PLK Ding, Z Li, Y Zhou, B Li Medical Imaging 2019: Image Processing 10949, 110-117, 2019 | 42 | 2019 |
| A two-stage convolutional neural network for joint demosaicking and super-resolution K Chang, H Li, Y Tan, PLK Ding, B Li IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4238-4254, 2021 | 37 | 2021 |
| Color image demosaicking using inter-channel correlation and nonlocal self-similarity K Chang, PLK Ding, B Li Signal Processing: Image Communication 39, 264-279, 2015 | 32 | 2015 |
| Compressive sensing reconstruction of correlated images using joint regularization K Chang, PLK Ding, B Li IEEE Signal Processing Letters 23 (4), 449-453, 2016 | 29 | 2016 |
| Accurate single image super-resolution using multi-path wide-activated residual network K Chang, M Li, PLK Ding, B Li Signal Processing 172, 107567, 2020 | 23 | 2020 |
| Data-adaptive low-rank modeling and external gradient prior for single image super-resolution K Chang, X Zhang, PLK Ding, B Li Signal Processing 161, 36-49, 2019 | 21 | 2019 |
| Improving Robustness of Random Forest Under Label Noise X Zhou, PLK Ding, B Li 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 950-958, 2019 | 12 | 2019 |
| Training neural networks by using power linear units (polus) Y Li, PLK Ding, B Li arXiv preprint arXiv:1802.00212, 2018 | 11 | 2018 |
| Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval PLK Ding, Y Li, B Li arXiv preprint arXiv:1811.09763, 2018 | 6 | 2018 |
| Convex dictionary learning for single image super-resolution PLK Ding, B Li, K Chang 2017 IEEE International Conference on Image Processing (ICIP), 4058-4062, 2017 | 6 | 2017 |
| Improving Batch Normalization with Skewness Reduction for Deep Neural Networks PLK Ding, S Martin, B Li 2020 International Conference on Pattern Recognition, 2019 | 4 | 2019 |
| Accelerated MRI Reconstruction Using Variational Feedback U-NET with Transfer Learning Y Zhou, R Paul, P Ding, R Battle, A Patel, B Li MEDICAL PHYSICS 49 (6), E144-E145, 2022 | 2 | 2022 |
| Variational Feedback Network for Accelerated MRI Reconstruction PLK Ding, R Paul, B Li, AC Patel, Y Zhou ISMRM & SMRT Annual Meeting & Exhibition, 2021 | 1 | 2021 |
| Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI R Paul, S Vora, PLK Ding, A Patel, L Hu, B Li, Y Zhou International Conference on AI in Healthcare, 48-63, 2024 | | 2024 |
| Super-resolution for Natural Images and Magnetic Resonance Images PLK Ding Arizona State University, 2020 | | 2020 |
| Non-negative dictionary learning with pairwise partial similarity constraint X Zhou, PLK Ding, B Li 2017 IEEE International Conference on Multimedia and Expo (ICME), 1410-1415, 2017 | | 2017 |
| MEDL: Unsupervised Multi-Stage Ensemble Deep Learning with Diffusion Models for Denoising MRI Scans S Vora, R Paul, PLK Ding, AC Patel, LS Hu, Y Zhou, B Li | | |
