27 citations · 61 across the 15 of their papers we have counts for
5 papers · 1 filter
A Broad-Spectrum Diffractive Network via Ensemble Learning
Jiashuo Shi, Yingshi Chen, Xinyu Zhang
We proposed a broad-spectrum diffractive deep neural network (BS-D2NN) framework, which incorporates multi-wavelength channels of input lightfields and performs a parallel phase-on…
Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations
Yingshi Chen, Xinli Song, HanYang Dai +3
We present a fast block direct solver for the unified dynamic simulations of power systems. This solver uses a novel Q-learning based method for task scheduling. Unified dynamic si…
Learning the Markov Decision Process in the Sparse Gaussian Elimination
Yingshi Chen
We propose a learning-based approach for the sparse Gaussian Elimination. There are many hard combinatorial optimization problems in modern sparse solver. These NP-hard problems co…
The Brownian motion in the transformer model
Yingshi Chen
Transformer is the state of the art model for many language and visual tasks. In this paper, we give a deep analysis of its multi-head self-attention (MHSA) module and find that: 1…
An iterative K-FAC algorithm for Deep Learning
Yingshi Chen
Kronecker-factored Approximate Curvature (K-FAC) method is a high efficiency second order optimizer for the deep learning. Its training time is less than SGD(or other first-order m…