Analysis of the Hardware Imprecisions for Scalable and Compact Photonic Tensorized Neural Networks. - Mehmet Berkay On; Yun-Jhu Lee; Xian Xiao; Roberto Proietti; S. J. Ben Yoo (ECOC, 2021)

Energy-Efficient Photonic Spiking Neural Network on a monolithic silicon CMOS photonic platform. - Yun-Jhu Lee; Mehmet Berkay On; Xian Xiao; S. J. Ben Yoo (OFC, 2021)

Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks. - Yun-Jhu Lee; Mehmet Berkay On; Xian Xiao; Roberto Proietti; S. J. Ben Yoo (CoRR, 2021)

Photonic Interferometric Imager with monolithic silicon CMOS photonic integrated circuits. - Humphry Chen; Mehmet Berkay On; Yun-Jhu Lee; Li Zhang; Roberto Proietti; S. J. Ben Yoo (OFC, 2022)

Scalable Nanophotonic-Electronic Spiking Neural Networks. - Luis El Srouji; Yun-Jhu Lee; Mehmet Berkay On; Li Zhang; S. J. Ben Yoo (CoRR, 2022)

Demonstration of Programmable Brain-Inspired Optoelectronic Neuron in Photonic Spiking Neural Network with Neural Heterogeneity. - Yun-Jhu Lee; Mehmet Berkay On; Luis El Srouji; Li Zhang; Mahmoud Abdelghany; S. J. Ben Yoo (CoRR, 2023)

Demonstration of Neural Heterogeneity with Programmable Brain-Inspired Optoelectronic Spiking Neurons. - Yun-Jhu Lee; Mehmet Berkay On; Luis El Srouji; Li Zhang; Mahmoud Abdelghany; S. J. Ben Yoo (OFC, 2024)

Experimental Demonstration of Imperfection-Agnostic Local Learning Rules on Photonic Neural Networks with Mach-Zehnder Interferometric Meshes. - Luis El Srouji; Mehmet Berkay On; Yun-Jhu Lee; Mahmoud Abdelghany; S. J. Ben Yoo (OFC, 2024)