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ORCIDSagar Shrestha
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2020 – today
- 2024
[c6]Sagar Shrestha, Xiao Fu:
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. ICLR 2024- [c5]Jiahui Song, Sagar Shrestha, Xueshen Li, Yu Gan, Xiao Fu:
Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images. SAM 2024: 1-5 - [i7]Sagar Shrestha, Xiao Fu:
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. CoRR abs/2401.09671 (2024) - [i6]Subash Timilsina, Sagar Shrestha, Xiao Fu:
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures. CoRR abs/2409.19422 (2024) - [i5]Sagar Shrestha, Xiao Fu:
Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. CoRR abs/2411.03755 (2024) - 2023
- [j4]Sagar Shrestha, Younsu Jung
, Jinhwa Park, Sajjan Parajuli, Gyoujin Cho:
A Roll-to-Roll Gravure-Printing System for Manufacturing Near-Field Energy-Harvesting Labels. Adv. Intell. Syst. 5(12) (2023) - [j3]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. IEEE Trans. Signal Process. 71: 831-846 (2023) - [j2]Sagar Shrestha, Xiao Fu:
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. IEEE Trans. Signal Process. 71: 1379-1394 (2023) - [c4]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. ICASSP 2023: 1-5 - [c3]Subash Timilsina, Sagar Shrestha, Xiao Fu:
Deep Spectrum Cartography Using Quantized Measurements. ICASSP 2023: 1-5 - [i4]Subash Timilsina, Sagar Shrestha, Xiao Fu:
Quantized Radio Map Estimation Using Tensor and Deep Generative Models. CoRR abs/2303.01770 (2023) - 2022
- [j1]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. IEEE Trans. Signal Process. 70: 1170-1184 (2022) - [c2]Sagar Shrestha, Xiao Fu:
Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization. ICASSP 2022: 9052-9056 - [i3]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. CoRR abs/2206.05576 (2022) - 2021
- [c1]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. ICASSP 2021: 4920-4924 - [i2]Sagar Shrestha, Xiao Fu, Mingyi Hong:
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. CoRR abs/2105.00177 (2021) - [i1]Sagar Shrestha, Xiao Fu:
Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. CoRR abs/2109.12400 (2021)
Coauthor Index
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