Yi Luo

Integration of diffractive optical neural networks with electronic neural networks (Conference Presentation)

2020

We demonstrate significant improvements in the inference accuracy of diffractive optical neural networks and report that a five-layer, phase-only (or amplitude/phase) modulation diffractive network can achieve 97.18% (97.81%) and 89.13% (89.32%) blind-testing accuracy for MNIST …

AutoPrep: An Automatic Preprocessing Framework for In-the-Wild Speech Data

2023 · arXiv (Cornell University)

Recently, the utilization of extensive open-sourced text data has significantly advanced the performance of text-based large language models (LLMs). However, the use of in-the-wild large-scale speech data in the speech technology community remains constrained. One …