Hao Zhang

IEEE Trans. Computers, March, 2024

Energy Efficient FPGA-Based Binary Transformer Accelerator for Edge Devices.

[BibT_eX]

[DOI]

Congpeng Du

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Efficient Approximate Posit Multipliers for Deep Learning Computation.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Construction of Hardware Course Group in New Engineering Computer Specialty Facing Complex Engineering Problems.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Variable-Precision Approximate Floating-Point Multiplier for Efficient Deep Learning Computation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Segmentation for document layout analysis: not dead yet.

[BibT_eX]

[DOI]

Logan Markewich

Yubin Xing

Navid Lambert-Shirzad

Int. J. Document Anal. Recognit., 2022

Approximate Computing for Efficient Neural Network Computation: A Survey.

[BibT_eX]

[DOI]

Mohammadreza Asadikouhanjani

Jie Han

Deivalakshmi Subbian

Mohammadreza Asadikouhanjani

Proceedings of the Approximate Computing, 2022

Efficient Approximate DNN Accelerators for Edge Devices: An Experimental Study.

[BibT_eX]

[DOI]

Proceedings of the Approximate Computing, 2022

2021

A Real-Time Architecture for Pruning the Effectual Computations in Deep Neural Networks.

[BibT_eX]

[DOI]

Mohammadreza Asadikouhanjani

Gopalakrishnan Lakshminarayanan

Hyuk-Jae Lee

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Energy efficient spiking neural network processing using approximate arithmetic units and variable precision weights.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2021

Efficient Multiple-Precision Posit Multiplier.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Design of Power Efficient Posit Multiplier.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2020

New Flexible Multiple-Precision Multiply-Accumulate Unit for Deep Neural Network Training and Inference.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2020

Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography.

[BibT_eX]

[DOI]

Multidimens. Syst. Signal Process., 2020

2019

Efficient Multiple-Precision Floating-Point Fused Multiply-Add with Mixed-Precision Support.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2019

Efficient spiking neural network training and inference with reduced precision memory and computing.

[BibT_eX]

[DOI]

IET Comput. Digit. Tech., 2019

Efficient Posit Multiply-Accumulate Unit Generator for Deep Learning Applications.

[BibT_eX]

[DOI]

Jiongrui He

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Improved Hybrid Memory Cube for Weight-Sharing Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jiongrui He

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

High performance and energy efficient single-precision and double-precision merged floating-point adder on FPGA.

[BibT_eX]

[DOI]

IET Comput. Digit. Tech., 2018

Retinal blood vessel segmentation using fully convolutional network with transfer learning.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2018

Efficient Fixed/Floating-Point Merged Mixed-Precision Multiply-Accumulate Unit for Deep Learning Processors.

[BibT_eX]

[DOI]

Hyuk Jae Lee

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Area- and power-efficient iterative single/double-precision merged floating-point multiplier on FPGA.

[BibT_eX]

[DOI]

IET Comput. Digit. Tech., 2017

2016

Decimal floating-point fused multiply-add with redundant internal encodings.

[BibT_eX]

[DOI]

Liu Han