Chester Liu

Placement Optimization of Flexible TFT Digital Circuits

Chester Liu, En-Hua Ma, Wen-En Wei, 2011, IEEE Design & Test of Computers.

A 2.56mm2 718GOPS configurable spiking convolutional sparse coding processor in 40nm CMOS

Chester Liu, Zhengya Zhang, Sung-Gun Cho, 2017, 2017 IEEE Asian Solid-State Circuits Conference (A-SSCC).

Implementation of a highly scalable blokus duo solver on FPGA

Chester Liu, 2013, 2013 International Conference on Field-Programmable Technology (FPT).

High-performance spiking neural net accelerators for embedded computer vision applications

Chester Liu, Zhengya Zhang, Thomas Chen, 2017, 2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S).

A 2.56-mm2 718GOPS Configurable Spiking Convolutional Sparse Coding Accelerator in 40-nm CMOS

Chester Liu, Zhengya Zhang, Sung-Gun Cho, 2018, IEEE Journal of Solid-State Circuits.

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

Chester Liu, Zhengya Zhang, Ching-En Lee, 2019, IEEE Journal of Solid-State Circuits.

A 1.40mm2 141mW 898GOPS sparse neuromorphic processor in 40nm CMOS

Chester Liu, Zhengya Zhang, Phil Knag, 2016, 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits).

SNAP: A 1.67 — 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS

Chester Liu, Stephen W. Keckler, Zhengya Zhang, 2019, 2019 Symposium on VLSI Circuits.

Static timing analysis for flexible TFT circuits

Chester Liu, En-Hua Ma, Chien-Mo James Li, 2010, Design Automation Conference.

Inference and Learning Hardware Architecture for Neuro- Inspired Sparse Coding Algoerithm

Chester Liu, Zhengya Zhang, 2018, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS).