| A markovian model-driven deep learning framework for massive MIMO CSI feedback Z Liu, M Del Rosario, Z Ding IEEE Transactions on Wireless Communications, 2021 | 49 | 2021 |
| Spherical normalization for learned compressive feedback in massive MIMO CSI acquisition Z Liu, M del Rosario, X Liang, L Zhang, Z Ding 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 14 | 2020 |
| Learning-Based MIMO Channel Estimation under Practical Pilot Sparsity and Feedback Compression M del Rosario, Z Ding https://arxiv.org/abs/2201.05225, 2022 | 10 | 2022 |
| Learning-based mimo channel estimation under practical pilot sparsity and feedback compression M Del Rosario, Z Ding IEEE Transactions on Wireless Communications 22 (2), 1161-1174, 2022 | 9 | 2022 |
| Enabling Student Success in an Online Lab-Based Circuits Course. M del Rosario, N Hosein, T Ambrose, R Amirtharajah, A Knoesen, ... Advances in Engineering Education 8 (4), n4, 2020 | 8 | 2020 |
| Approximating the void: A paper review M del Rosario | 3 | 2019 |
| Efficient Deep Learning for Massive MIMO Channel State Estimation M del Rosario University of California, Davis, 2023 | | 2023 |
| Synthesizing domain science with machine learning Z del Rosario, M del Rosario Nature Computational Science, 2022 | | 2022 |
| The Landscape of Online Engineering Education M del Rosario Engineering Education, 2020 | | 2020 |
| An Overview of Stochastic Gradient Descent in Machine Learning M del Rosario | | 2019 |
| Markovian Model Driven Convolutional Neural Networks for Massive MIMO CSI Feedback Z Liu, M del Rosario, Z Ding | | |
| A CUDA-based Batcher-Banyan Network for Bitonic Sort K Vali, M Samani, M del Rosario | | |
Zhi DingDistinguished Professor of Electrical and Computer Engineering, University of California DavisVerified email at ucdavis.edu
