Ching-En Lee

Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks

A. Parashar, S. Keckler, Zhengya Zhang, 2018 .

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

Jishen Zhao, Shilin Zhu, Cheng Fu, 2018, FPGA.

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.

SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference

Stephen W. Keckler, Zhengya Zhang, Yakun Sophia Shao, 2021, IEEE Journal of Solid-State Circuits.

VOTA: A Heterogeneous Multicore Visual Object Tracking Accelerator Using Correlation Filters

Zhengya Zhang, E. McCreath, Ching-En Lee, 2022, IEEE Journal of Solid-State Circuits.

Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks

A. Parashar, S. Keckler, Y. Shao, 2018 .