| Deep spectrum cartography: Completing radio map tensors using learned neural models S Shrestha, X Fu, M Hong IEEE Transactions on Signal Processing 70, 1170-1184, 2022 | 33 | 2022 |
| Deep generative model learning for blind spectrum cartography with NMF-based radio map disaggregation S Shrestha, X Fu, M Hong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Optimal solutions for joint beamforming and antenna selection: From branch and bound to machine learning S Shrestha, X Fu, M Hong IEEE Transactions on Signal Processing 71, 831-846, 2022 | 5 | 2022 |
| Autonomous navigation of a mobile robot in indoor environments B Paneru, N Basnet, S Shrestha, R Giri, DB Kshatri, P Campus Zerone Scholar 1 (1), 3-8, 2016 | 3 | 2016 |
| Towards efficient and optimal joint beamforming and antenna selection: A machine learning approach S Shrestha, X Fu, M Hong ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Quantized radio map estimation using tensor and deep generative models S Timilsina, S Shrestha, X Fu IEEE Transactions on Signal Processing, 2023 | 1 | 2023 |
| Deep spectrum cartography using quantized measurements S Timilsina, S Shrestha, X Fu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis S Shrestha, X Fu IEEE Transactions on Signal Processing, 2023 | 1* | 2023 |
| Communication-efficient distributed MAX-VAR generalized CCA via error feedback-assisted quantization S Shrestha, X Fu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Large Vocabulary Continuous Speech Recognition for Nepali Language E Baral, S Shrestha International Journal of Signal Processing Systems 8 (4), 68-73, 2020 | 1 | 2020 |
| Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach S Shrestha, X Fu arXiv preprint arXiv:2401.09671, 2024 | | 2024 |
Xiao FuAssociate Professor, EECS, Oregon State UniversityVerified email at oregonstate.edu
