Yangjie Qi

to The School of Engineering of the UNIVERSITY OF DAYTON In Partial Fulfillment of the Requirements for The Degree of Master of Science in Electrical Engineering

K. Hirakawa, T. Taha, Eddy M. Rojas, 2013 .

TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators

T. Taha, Yangjie Qi, Shuo Zhang, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators pdf

Tarek M. Taha, Yangjie Qi, Shuo Zhang, 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Deep Learning for Medical Materials: Review and Perspective

Chang Liu, Yangjie Qi, 2021 .

Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training

Tarek M. Taha, Raqibul Hasan, Yangjie Qi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

3D Memristor Crossbar Architecture for a Multicore Neuromorphic System

Chris Yakopcic, Tarek M. Taha, B. Rasitha Fernando, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Socrates-D: Multicore Architecture for On-Line Learning

Tarek M. Taha, Raqibul Hasan, Yangjie Qi, 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).