Channel Tiling for Improved Performance and Accuracy of Optical Neural Network Accelerators. - Shurui Li 002; Mario Miscuglio; Volker J. Sorger; Puneet Gupta 001 (CoRR, 2020)

SWIS - Shared Weight bIt Sparsity for Efficient Neural Network Acceleration. - Shurui Li 002; Wojciech Romaszkan; Alexander Graening; Puneet Gupta 001 (CoRR, 2021)

Batch Processing and Data Streaming Fourier-based Convolutional Neural Network Accelerator. - Zibo Hu; Shurui Li 002; Russell L. T. Schwartz; Maria Solyanik-Gorgone; Mario Miscuglio; Puneet Gupta 001; Volker J. Sorger (CoRR, 2021)

Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors. - Shurui Li 002; Puneet Gupta 001 (MLSys, 2022)

PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator. - Shurui Li 002; Hangbo Yang; Chee Wei Wong; Volker J. Sorger; Puneet Gupta 001 (HPCA, 2023)

ReFOCUS: Reusing Light for Efficient Fourier Optics-Based Photonic Neural Network Accelerator. - Shurui Li 002; Hangbo Yang; Chee Wei Wong; Volker J. Sorger; Puneet Gupta 001 (MICRO, 2023)

Training Neural Networks for Execution on Approximate Hardware. - Tianmu Li; Shurui Li 002; Puneet Gupta 001 (CoRR, 2023)

Architecture, Modeling, and Optimization of Photonic Neural Network Accelerators - Shurui Li 002 (2024)

CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools. - Shurui Li 002; Puneet Gupta 001 (CoRR, 2025)