2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou, Zhangxin Chen, Ce Zhu +1
Deep neural networks have achieved great success in many data processing applications. However, the high computational complexity and storage cost makes deep learning hard to be us…
cs.MS2017★ 2 cited
Scalable linear solvers for sparse linear systems from large-scale numerical simulations
Hui Liu, Zhangxin Chen
This paper presents our work on designing scalable linear solvers for large-scale reservoir simulations. The main objective is to support implementation of parallel reservoir simul…
cs.IT2014
Novel Realization of Adaptive Sparse Sensing with Sparse Least Mean Fourth Algorithm
Guan Gui, Li Xu, Xiao-mei Zhu +1
Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing (CS) in many applications such as Radar imaging and sparse channel estimation. Unlike…