Deep Generative Model Learning For Blind Spectrum Cartography with NMF-Based Radio Map Disaggregation. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2021)

Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. - Sagar Shrestha; Xiao Fu 001 (CoRR, 2021)

Communication-Efficient Distributed MAX-VAR Generalized CCA via Error Feedback-Assisted Quantization. - Sagar Shrestha; Xiao Fu 001 (ICASSP, 2022)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (CoRR, 2022)

Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 2022)

Towards Efficient and Optimal Joint Beamforming and Antenna Selection: A Machine Learning Approach. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2023)

Deep Spectrum Cartography Using Quantized Measurements. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (ICASSP, 2023)

Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis. - Sagar Shrestha; Xiao Fu 001 (IEEE Trans. Signal Process., 2023)

Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning. - Sagar Shrestha; Xiao Fu 001; Mingyi Hong 001 (IEEE Trans. Signal Process., 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., 2023)

Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach. - Sagar Shrestha; Xiao Fu 001 (ICLR, 2024)

Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images. - Jiahui Song; Sagar Shrestha; Xueshen Li; Yu Gan 003; Xiao Fu 001 (SAM, 2024)

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (NeurIPS, 2024)

Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. - Sagar Shrestha; Xiao Fu (CoRR, 2024)

Quantized Radio Map Estimation Using Tensor and Deep Generative Models. - Subash Timilsina; Sagar Shrestha; Xiao Fu 001 (IEEE Trans. Signal Process., 2024)

Lock-in Thermography Characterization of Photothermal Transparent Thin Films. - Gabriella Butler; Hannah Carter; Dardan Bajrami; Sagar Shrestha; Donglu Shi; Mathias Bonmarin (I2MTC, 2025)

Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions. - Sagar Shrestha; Xiao Fu 001 (ICLR, 2025)