Hardware specialization of machine-learning kernels: Possibilities for applications and possibilities for the platform design space (Invited). - Kyong-Ho Lee; Zhuo Wang 001; Naveen Verma (SiPS, 2013)

Enabling hardware relaxations through statistical learning. - Zhuo Wang 001; Naveen Verma (Allerton, 2014)

Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware. - Zhuo Wang 001; Robert E. Schapire; Naveen Verma (ICASSP, 2014)

A look at signal analysis in resource-constrained medical-sensor applications. - Naveen Verma; Zhuo Wang 001; Jintao Zhang (BioCAS, 2015)

A seizure-detection IC employing machine learning to overcome data-conversion and analog-processing non-idealities. - Jintao Zhang; Liechao Huang; Zhuo Wang 001; Naveen Verma (CICC, 2015)

Reducing quantization error in low-energy FIR filter accelerators. - Zhuo Wang 001; Jintao Zhang; Naveen Verma (ICASSP, 2015)

16.2 A large-area image sensing and detection system based on embedded thin-film classifiers. - Warren Rieutort-Louis; Tiffany Moy; Zhuo Wang 001; Sigurd Wagner; James C. Sturm; Naveen Verma (ISSCC, 2015)

18.4 A matrix-multiplying ADC implementing a machine-learning classifier directly with data conversion. - Jintao Zhang; Zhuo Wang 001; Naveen Verma (ISSCC, 2015)

Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC. - Zhuo Wang 001; Jintao Zhang; Naveen Verma (IEEE Trans. Biomed. Circuits Syst., 2015)

Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference. - Zhuo Wang 001; Robert E. Schapire; Naveen Verma (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Overcoming Computational Errors in Sensing Platforms Through Embedded Machine-Learning Kernels. - Zhuo Wang 001; Kyong-Ho Lee; Naveen Verma (IEEE Trans. Very Large Scale Integr. Syst., 2015)

Hardware Specialization in Low-power Sensing Applications to Address Energy and Resilience. - Zhuo Wang 001; Kyong-Ho Lee; Naveen Verma (J. Signal Process. Syst., 2015)

A machine-learning classifier implemented in a standard 6T SRAM array. - Jintao Zhang; Zhuo Wang 001; Naveen Verma (VLSI Circuits, 2016)

A Large-Area Image Sensing and Detection System Based on Embedded Thin-Film Classifiers. - Warren Rieutort-Louis; Tiffany Moy; Zhuo Wang 001; Sigurd Wagner; James C. Sturm; Naveen Verma (IEEE J. Solid State Circuits, 2016)

Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips&Tricks]. - Zhuo Wang 001; Jintao Zhang; Naveen Verma (IEEE Signal Process. Mag., 2016)

In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array. - Jintao Zhang; Zhuo Wang 001; Naveen Verma (IEEE J. Solid State Circuits, 2017)

A Low-Energy Machine-Learning Classifier Based on Clocked Comparators for Direct Inference on Analog Sensors. - Zhuo Wang 001; Naveen Verma (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Relaxing the Implementation of Embedded Sensing Systems through Machine Learning and Statistical Optimization - Zhuo Wang 001 (2017)