Giant Enhancement in Signal Contrast using Integrated All-Optical Nonlinear Thresholder. - Chaoran Huang 004; Thomas Ferreira de Lima; Aashu Jha; Siamak Abbaslou; Bhavin J. Shastri; Paul R. Prucnal (OFC, 2019)

Neuromorphic Photonics: Current Status and Challenges. - Paul R. Prucnal; Thomas Ferreira de Lima; Chaoran Huang 004; Bicky A. Marquez; Bhavin J. Shastri (ECOC, 2020)

Demonstration of Multi-Channel Feedback Control for On-Chip Microring Weight Banks. - Chaoran Huang 004; Simon Bilodeau; Thomas Ferreira de Lima; Alexander N. Tait; Philip Y. Ma; Eric C. Blow; Aashu Jha; Hsuan-Tung Peng; Bhavin J. Shastri; Paul R. Prucnal (OFC, 2020)

Demonstration of Photonic Neural Network for Fiber Nonlinearity Compensation in Long-Haul Transmission Systems. - Chaoran Huang 004; Shinsuke Fujisawa; Thomas Ferreira de Lima; Alexander N. Tait; Eric C. Blow; Yue Tian; Simon Bilodeau; Aashu Jha; Fatih Yaman; Hussam G. Batshon; Hsuan-Tung Peng; Bhavin J. Shastri; et al. (OFC, 2020)

Real-Time Operation of Silicon Photonic Neurons. - Thomas Ferreira de Lima; Chaoran Huang 004; Simon Bilodeau; Alexander N. Tait; Hsuan-Tung Peng; Philip Y. Ma; Eric C. Blow; Bhavin J. Shastri; Paul R. Prucnal (OFC, 2020)

Nonlinear Impairment Compensation Using Neural Networks. - Shinsuke Fujisawa; Fatih Yaman; Hussam G. Batshon; Masaaki Tanio; Naoto Ishii; Chaoran Huang 004; Thomas Ferreira de Lima; Yoshihisa Inada; Paul R. Prucnal; Norifumi Kamiya; Ting Wang 018 (OFC, 2021)

Neuromorphic Photonics for Optical Communication Systems. - Chaoran Huang 004; Thomas Ferreira de Lima; Shinsuke Fujisawa; Alexander N. Tait; Hsuan-Tung Peng; Bhavin J. Shastri; Ting Wang 018; Paul R. Prucnal (OFC, 2021)

Programmable, high-speed all-optical nonlinear activation functions for neuromorphic photonics. - Aashu Jha; Chaoran Huang 004; Paul R. Prucnal (OFC, 2021)

Neuromorphic Photonic Networks. - Bhavin J. Shastri; Simon Bilodeau; Bicky A. Marquez; Alexander N. Tait; Thomas Ferreira de Lima; Chaoran Huang 004; Lukas Chrostowski; Sudip Shekhar; Paul R. Prucnal (OFC, 2021)

Microring Weight Banks Control beyond 8.5-bits Accuracy. - Weipeng Zhang; Chaoran Huang 004; Simon Bilodeau; Aashu Jha; Eric C. Blow; Thomas Ferreira de Lima; Bhavin J. Shastri; Paul R. Prucnal (CoRR, 2021)

Prospects and applications of photonic neural networks. - Chaoran Huang 004; Volker J. Sorger; Mario Miscuglio; Mohammed Al-Qadasi; Avilash Mukherjee; Sudip Shekhar; Lukas Chrostowski; Lutz Lampe; Mitchell Nichols; Mable P. Fok; Daniel Brunner; Alexander N. Tait; et al. (CoRR, 2021)

A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge. - Hsuan-Tung Peng; Joshua Lederman; Lei Xu; Thomas Ferreira de Lima; Chaoran Huang 004; Bhavin J. Shastri; David Rosenbluth; Paul R. Prucnal (CoRR, 2021)

Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons. - Aashu Jha; Chaoran Huang 004; Hsuan-Tung Peng; Bhavin J. Shastri; Paul R. Prucnal (CoRR, 2021)

High-speed time series prediction and classification on an all-optical neural network. - Aashu Jha; Chaoran Huang 004; Hsuan-Tung Peng; Weipeng Zhang; Bhavin J. Shastri; Paul R. Prucnal (OFC, 2022)

Multi-Wavelength Photonic Neuromorphic Computing for Intra and Inter-Channel Distortion Compensations in WDM Optical Communication Systems. - Benshan Wang; Thomas Ferreira de Lima; Bhavin J. Shastri; Paul R. Prucnal; Chaoran Huang 004 (CoRR, 2022)

Control-free and efficient silicon photonic neural networks via hardware-aware training and pruning. - Tengji Xu; Weipeng Zhang; Jiawei Zhang; Zeyu Luo; Qiarong Xiao; Benshan Wang; Mingcheng Luo; Xingyuan Xu; Bhavin J. Shastri; Paul R. Prucnal; Chaoran Huang 004 (CoRR, 2024)

Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training. - Tengji Xu; Zeyu Luo; Shaojie Liu; Li Fan; Qiarong Xiao; Benshan Wang; Dongliang Wang; Chaoran Huang 004 (CoRR, 2024)

Beyond Terabit/s Integrated Neuromorphic Photonic Processor for DSP-Free Optical Interconnects. - Benshan Wang; Qiarong Xiao; Tengji Xu; Li Fan; Shaojie Liu; Jianji Dong; Junwen Zhang; Chaoran Huang 004 (CoRR, 2025)