Zhuo Wang

According to our database, Zhuo Wang authored at least 18 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Relaxing the Implementation of Embedded Sensing Systems through Machine Learning and Statistical Optimization

Zhuo Wang

PhD thesis, 2017

A Low-Energy Machine-Learning Classifier Based on Clocked Comparators for Direct Inference on Analog Sensors.

Zhuo Wang, Naveen Verma

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array.

Jintao Zhang, Zhuo Wang, Naveen Verma

IEEE J. Solid State Circuits, 2017

2016

Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips&Tricks].

Zhuo Wang, Jintao Zhang, Naveen Verma

IEEE Signal Process. Mag., 2016

A Large-Area Image Sensing and Detection System Based on Embedded Thin-Film Classifiers.

Warren Rieutort-Louis, Tiffany Moy, Zhuo Wang, Sigurd Wagner, James C. Sturm, Naveen Verma

IEEE J. Solid State Circuits, 2016

A machine-learning classifier implemented in a standard 6T SRAM array.

Jintao Zhang, Zhuo Wang, Naveen Verma

Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016

2015

Hardware Specialization in Low-power Sensing Applications to Address Energy and Resilience.

Zhuo Wang, Kyong-Ho Lee, Naveen Verma

J. Signal Process. Syst., 2015

Overcoming Computational Errors in Sensing Platforms Through Embedded Machine-Learning Kernels.

Zhuo Wang, Kyong-Ho Lee, Naveen Verma

IEEE Trans. Very Large Scale Integr. Syst., 2015

Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference.

Zhuo Wang, Robert E. Schapire, Naveen Verma

IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Realizing Low-Energy Classification Systems by Implementing Matrix Multiplication Directly Within an ADC.

Zhuo Wang, Jintao Zhang, Naveen Verma

IEEE Trans. Biomed. Circuits Syst., 2015

18.4 A matrix-multiplying ADC implementing a machine-learning classifier directly with data conversion.

Jintao Zhang, Zhuo Wang, Naveen Verma

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

16.2 A large-area image sensing and detection system based on embedded thin-film classifiers.

Warren Rieutort-Louis, Tiffany Moy, Zhuo Wang, Sigurd Wagner, James C. Sturm, Naveen Verma

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

Reducing quantization error in low-energy FIR filter accelerators.

Zhuo Wang, Jintao Zhang, Naveen Verma

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A seizure-detection IC employing machine learning to overcome data-conversion and analog-processing non-idealities.

Jintao Zhang, Liechao Huang, Zhuo Wang, Naveen Verma

Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

A look at signal analysis in resource-constrained medical-sensor applications.

Naveen Verma, Zhuo Wang, Jintao Zhang

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware.

Zhuo Wang, Robert E. Schapire, Naveen Verma

Proceedings of the IEEE International Conference on Acoustics, 2014

Enabling hardware relaxations through statistical learning.

Zhuo Wang, Naveen Verma

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Hardware specialization of machine-learning kernels: Possibilities for applications and possibilities for the platform design space (Invited).

Kyong-Ho Lee, Zhuo Wang, Naveen Verma

Proceedings of the IEEE Workshop on Signal Processing Systems, 2013