Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. - Azat Azamat; Faaiz Asim; Jongeun Lee (ICCAD, 2021)

Centered Symmetric Quantization for Hardware-Efficient Low-Bit Neural Networks. - Faaiz Asim; Jaewoo Park; Azat Azamat; Jongeun Lee (BMVC, 2022)

A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks. - Quang Hieu Vo; Linh Ngoc Le; Faaiz Asim; Lok-Won Kim; Choong Seon Hong (IEEE Access, 2022)

Partial Sum Quantization for Reducing ADC Size in ReRAM-Based Neural Network Accelerators. - Azat Azamat; Faaiz Asim; Jintae Kim; Jongeun Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks. - Minjoon Song; Faaiz Asim; Jongeun Lee (ASPDAC, 2024)