Yingshi Chen

According to our database, Yingshi Chen authored at least 15 papers between 2019 and 2023.

Collaborative distances:

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

2023

An improved all-optical diffractive deep neural network with less parameters for gesture recognition.

Yuanguo Zhou, Shan Shui, Yijun Cai, Chengying Chen, Yingshi Chen, Reza Abdi-Ghaleh

J. Vis. Commun. Image Represent., February, 2023

Coupling analysis of economy and ecological environment in developed areas.

Yingshi Chen, Lidong Wang

Proceedings of the 2023 International Conference on Power, 2023

2021

A Broad-Spectrum Diffractive Network via Ensemble Learning.

Jiashuo Shi, Yingshi Chen, Xinyu Zhang

CoRR, 2021

Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations.

Yingshi Chen, Xinli Song, HanYang Dai, Tao Liu, Wuzhi Zhong, Guoyang Wu

CoRR, 2021

Learning the Markov Decision Process in the Sparse Gaussian Elimination.

Yingshi Chen

CoRR, 2021

The Brownian motion in the transformer model.

Yingshi Chen

CoRR, 2021

An iterative K-FAC algorithm for Deep Learning.

Yingshi Chen

CoRR, 2021

2020

A short note on the decision tree based neural turing machine.

Yingshi Chen

CoRR, 2020

Attention augmented differentiable forest for tabular data.

Yingshi Chen

CoRR, 2020

Learning Unsplit-field-based PML for the FDTD Method by Deep Differentiable Forest.

Yingshi Chen, Naixing Feng

CoRR, 2020

Deep differentiable forest with sparse attention for the tabular data.

Yingshi Chen

CoRR, 2020

LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions.

Yingshi Chen

CoRR, 2020

Express Wavenet - a low parameter optical neural network with random shift wavelet pattern.

Yingshi Chen

CoRR, 2020

2019

An optical diffractive deep neural network with multiple frequency-channels.

Yingshi Chen, Jinfeng Zhu

CoRR, 2019

A novel guided deep learning algorithm to design low-cost SPP films.

Yingshi Chen, Jinfeng Zhu

CoRR, 2019