| Denoising of hyperspectral images using group low-rank representation M Wang, J Yu, JH Xue, W Sun IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 66 | 2016 |
| Characterizing deep learning training workloads on alibaba-pai M Wang, C Meng, G Long, C Wu, J Yang, W Lin, Y Jia 2019 IEEE International Symposium on Workload Characterization (IISWC), 189-202, 2019 | 49 | 2019 |
| Fast Training of Deep Learning Models over Multiple GPUs X Yi, Z Luo, C Meng, M Wang, G Long, C Wu, J Yang, W Lin Proceedings of the 21st International Middleware Conference, 105-118, 2020 | 16 | 2020 |
| Efficient deep learning inference based on model compression Q Zhang, M Zhang, M Wang, W Sui, C Meng, J Yang, W Kong, X Cui, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 15 | 2018 |
| Group-based hyperspectral image denoising using low rank representation M Wang, J Yu, W Sun 2015 IEEE International Conference on Image Processing (ICIP), 1623-1627, 2015 | 15 | 2015 |
| A history-based auto-tuning framework for fast and high-performance DNN design on GPU J Mu, M Wang, L Li, J Yang, W Lin, W Zhang 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 14 | 2020 |
| Feature extraction for hyperspectral images using low-rank representation with neighborhood preserving regularization M Wang, J Yu, L Niu, W Sun IEEE Geoscience and Remote Sensing Letters 14 (6), 836-840, 2017 | 13 | 2017 |
| Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding M Wang, J Yu, L Niu, W Sun 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
| Hyperspectral image denoising based on subspace low rank representation M Wang, J Yu, L Niu, W Sun International Conference on Geo-Informatics in Resource Management and …, 2016 | 5 | 2016 |
| LRR-based hyperspectral image restoration by exploiting the union structure of spectral space and with robust dictionary estimation M Wang, J Yu, W Sun 2017 IEEE International Conference on Image Processing (ICIP), 4287-4291, 2017 | 4 | 2017 |
| Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks M Wang, Q Zhang, J Yang, X Cui, W Lin arXiv preprint arXiv:1811.08589, 2018 | 3 | 2018 |
