Yingheng Tang

Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network

2022 · arXiv (Cornell University)

Diffractive optical neural networks have shown promising advantages over electronic circuits for accelerating modern machine learning (ML) algorithms. However, it is challenging to achieve fully programmable all-optical implementation and rapid hardware deployment. Furthermore, understanding the …

Universal Approach for Calibrating Large‐Scale Electronic and Photonic Crossbar Arrays

2023 · Advanced Intelligent Systems

Analog electronic and photonic crossbar arrays have been emerging as energy‐efficient hardware implementations to accelerate computationally intensive general matrix–vector and matrix–matrix multiplications in machine learning (ML) algorithms. However, the inevitable nonuniformity in large‐scale electronic and …