14 citations · 14 across the 2 of their papers we have counts for
4 papers
Provable Subspace Identification Under Post-Nonlinear Mixtures
Qi Lyu, Xiao Fu
Unsupervised mixture learning (UML) aims at identifying linearly or nonlinearly mixed latent components in a blind manner. UML is known to be challenging: Even learning linear mixt…
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types
Shentong Mo, Xi Fu, Chenyang Hong +6
In the genome biology research, regulatory genome modeling is an important topic for many regulatory downstream tasks, such as promoter classification, transaction factor binding s…
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos
We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel es…
Data-Driven Learning-Based Optimization for Distribution System State Estimation
Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos
Distribution system state estimation (DSSE) is a core task for monitoring and control of distribution networks. Widely used algorithms such as Gauss-Netwon perform poorly with the…