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Zhehui Wang

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PATCorrect: Non-autoregressive Phoneme-augmented Transformer for ASR Error Correction

Feb 10, 2023
Ziji Zhang, Zhehui Wang, Rajesh Kamma, Sharanya Eswaran, Narayanan Sadagopan

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Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography

Jan 27, 2023
Xin Yue, Shanny Lin, Wenting Li, Bradley T. Wolfe, Steven Clayton, Mark Makela, C. L. Morris, Simon Spannagel, Erik Ramberg, Juan Estrada, Hao Zhu, Jifeng Liu, Eric R. Fossum, Zhehui Wang

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A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding

Jun 06, 2022
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

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Machine Learning for Detection of 3D Features using sparse X-ray data

Jun 02, 2022
Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang, Nga T. T. Nguyen-Fotiadis, J. P. Sauppe, P. M. Kozlowski, P. A. Keiter, R. E. Reinovsky, S. A. Batha, Zhehui Wang

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Optimizing for In-memory Deep Learning with Emerging Memory Technology

Dec 01, 2021
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong

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E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

Nov 19, 2021
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

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Efficient Spiking Neural Networks with Radix Encoding

May 14, 2021
Zhehui Wang, Xiaozhe Gu, Rick Goh, Joey Tianyi Zhou, Tao Luo

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EDCompress: Energy-Aware Model Compression with Dataflow

Jun 08, 2020
Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh

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The ISTI Rapid Response on Exploring Cloud Computing 2018

Jan 04, 2019
Carleton Coffrin, James Arnold, Stephan Eidenbenz, Derek Aberle, John Ambrosiano, Zachary Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron s. Pope, Reid Porter, Chris Rawlings, Hannah Reinbolt, Reid Rivenburgh, Phil Romero, Kevin Schoonover, Alexei Skurikhin, Daniel Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring

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