Thomas Chen

According to our database, Thomas Chen authored at least 10 papers between 2014 and 2020.

Collaborative distances:

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

2020

A 1.87-mm² 56.9-GOPS Accelerator for Solving Partial Differential Equations.

Thomas Chen, Jacob Botimer, Teyuh Chou, Zhengya Zhang

IEEE J. Solid State Circuits, 2020

2019

A 135-mW 1.70TOPS Sparse Video Sequence Inference SoC for Action Classification.

Thomas Chen, Ching-En Lee, Chester Liu, Zhengya Zhang

IEEE J. Solid State Circuits, 2019

An Sram-Based Accelerator for Solving Partial Differential Equations.

Thomas Chen, Jacob Botimer, Teyuh Chou, Zhengya Zhang

Proceedings of the IEEE Custom Integrated Circuits Conference, 2019

2018

A Maximum-Likelihood Sequence Detection Powered ADC-Based Serial Link.

Shiming Song, Kyojin David Choo, Thomas Chen, Sunmin Jang, Michael P. Flynn, Zhengya Zhang

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

LEIA: A 2.05mm² 140mW lattice encryption instruction accelerator in 40nm CMOS.

Shiming Song, Wei Tang, Thomas Chen, Zhengya Zhang

Proceedings of the 2018 IEEE Custom Integrated Circuits Conference, 2018

2017

A 1.5-GHz 6.144T Correlations/s 64 × 64 Cross-Correlator With 128 Integrated ADCs for Real-Time Synthetic Aperture Imaging.

John Bell, Phil Knag, Shuanghong Sun, Yong Lim, Thomas Chen, Jeffrey Fredenburg, Chia-Hsiang Chen, Chunyang Zhai, Aaron Z. Rocca, Nicholas Collins, Andres Tamez, Jorge Pernillo, Justin M. Correll, Alan B. Tanner, Zhengya Zhang, Michael P. Flynn

IEEE J. Solid State Circuits, 2017

2015

A Sparse Coding Neural Network ASIC With On-Chip Learning for Feature Extraction and Encoding.

Phil Knag, Jung Kuk Kim, Thomas Chen, Zhengya Zhang

IEEE J. Solid State Circuits, 2015

A 640M pixel/s 3.65mW sparse event-driven neuromorphic object recognition processor with on-chip learning.

Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang

Proceedings of the Symposium on VLSI Circuits, 2015

2014

Efficient Hardware Architecture for Sparse Coding.

Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang

IEEE Trans. Signal Process., 2014

A 6.67mW sparse coding ASIC enabling on-chip learning and inference.

Jung Kuk Kim, Phil Knag, Thomas Chen, Zhengya Zhang

Proceedings of the Symposium on VLSI Circuits, 2014