Ziao Wang

Variable-Length Insertion-Based Noisy Sorting

2023

In this work, we study the problem of sorting n elements with pairwise comparisons under the presence of observation noise. We consider variable-length algorithms with a random number of queries M, and attempt to characterize …

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment

2026 · Proceedings of the National Academy of Sciences

Modern deep learning relies nearly exclusively on dedicated electronic hardware accelerators. Photonic approaches, with low consumption and high operation speed, are increasingly considered for inference but, to date, remain mostly limited to relatively basic tasks. …