Minhan Lou

According to our database, Minhan Lou authored at least 4 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks.

Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks.

Yingjie Li, Ruiyang Chen, Minhan Lou, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

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

Ruiyang Chen, Yingjie Li, Minhan Lou, Jichao Fan, Yingheng Tang, Berardi Sensale Rodriguez, Cunxi Yu, Weilu Gao

CoRR, 2022

2017

Repetitively Mode-Locked Cavity-Enhanced Absorption Spectroscopy (RML-CEAS) for Near-Infrared Gas Sensing.

Qixin He, Minhan Lou, Chuan-Tao Zheng, Weilin Ye, Yiding Wang, Frank K. Tittel

Sensors, 2017