Guoying Zhao

Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition

2020 · arXiv (Cornell University)

Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more sample diversity for learning good representation models, the important subtle dynamics are prone to …

Quantum neural networks with deep residual learning.

2020 · arXiv (Cornell University)

Inspired by the success of neural networks in the classical machine learning tasks, there has been tremendous effort to develop quantum neural networks (QNNs), especially for quantum data or tasks that are inherently quantum in …