Sagar Shrestha

According to our database, Sagar Shrestha authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures.

Subash Timilsina, Sagar Shrestha, Xiao Fu

CoRR, 2024

Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images.

Jiahui Song, Sagar Shrestha, Xueshen Li, Yu Gan, Xiao Fu

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach.

Sagar Shrestha, Xiao Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Roll-to-Roll Gravure-Printing System for Manufacturing Near-Field Energy-Harvesting Labels.

Sagar Shrestha, Younsu Jung, Jinhwa Park, Sajjan Parajuli, Gyoujin Cho

Adv. Intell. Syst., December, 2023

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning.

Sagar Shrestha, Xiao Fu, Mingyi Hong

IEEE Trans. Signal Process., 2023

Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis.

Sagar Shrestha, Xiao Fu

IEEE Trans. Signal Process., 2023

Quantized Radio Map Estimation Using Tensor and Deep Generative Models.

Subash Timilsina, Sagar Shrestha, Xiao Fu

CoRR, 2023

Deep Spectrum Cartography Using Quantized Measurements.

Subash Timilsina, Sagar Shrestha, Xiao Fu

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach.

Sagar Shrestha, Xiao Fu, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models.

Sagar Shrestha, Xiao Fu, Mingyi Hong

IEEE Trans. Signal Process., 2022

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning.

Sagar Shrestha, Xiao Fu, Mingyi Hong

CoRR, 2022

Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization.

Sagar Shrestha, Xiao Fu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis.

Sagar Shrestha, Xiao Fu

CoRR, 2021

Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation.

Sagar Shrestha, Xiao Fu, Mingyi Hong

Proceedings of the IEEE International Conference on Acoustics, 2021