A novel guided deep learning algorithm to design low-cost SPP films. - Yingshi Chen; Jinfeng Zhu (CoRR, 2019)

An optical diffractive deep neural network with multiple frequency-channels. - Yingshi Chen; Jinfeng Zhu (CoRR, 2019)

Express Wavenet - a low parameter optical neural network with random shift wavelet pattern. - Yingshi Chen (CoRR, 2020)

LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions. - Yingshi Chen (CoRR, 2020)

Deep differentiable forest with sparse attention for the 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)

Attention augmented differentiable forest for tabular data. - Yingshi Chen (CoRR, 2020)

A short note on the decision tree based neural turing machine. - Yingshi Chen (CoRR, 2020)

An iterative K-FAC algorithm for Deep Learning. - Yingshi Chen (CoRR, 2021)

The Brownian motion in the transformer model. - Yingshi Chen (CoRR, 2021)

Learning the Markov Decision Process in the Sparse Gaussian Elimination. - Yingshi Chen (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)

A Broad-Spectrum Diffractive Network via Ensemble Learning. - Jiashuo Shi; Yingshi Chen; Xinyu Zhang (CoRR, 2021)

Coupling analysis of economy and ecological environment in developed areas. - Yingshi Chen; Lidong Wang (PCCNT, 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., 2023)

Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability. - Yingshi Chen; Mohit Jain; Vaibhav Sawhney; Liyasi Wu (HR@RecSys, 2024)