D. Wang, S. J. Kim, M. Yang, A. A. Lazar, and M. Seok. A Background-Noise- and Process-Variation-Tolerant 109-nW Acoustic Feature Extractor based on Spike-Domain Divisive Energy Normalization for an Always-on Keyword Spotting Device. 2021 IEEE International Solid-State Circuits Conference (ISSCC), pages 160-162, February 2021.

M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok. A 1μW Voice Activity Detector Using Analog Feature Extraction and Digital Deep Neural Network. 2018 IEEE International Solid-State Circuits Conference (ISSCC), pages 346-348, February 2018.

M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok. Design of an Always-On Deep Neural Network Based 1 μW Voice Activity Detector Aided with a Customized Software Model for Analog Feature Extraction. IEEE Journal of Solid-State Circuits, IEEE, volume 54, issue 6, pages 1764-1777, June 2019.

M. Seok, M. Yang, Z. Jiang, A. A. Lazar, and J. Seo. Cases for Analog-Mixed-Signal Computing Integrated-Circuits for Deep Neural Networks. International Symposium on VLSI Design, Automation, and Test (VLSI-DAT), 2019.