3D memristor crossbar architecture for a multicore neuromorphic system BR Fernando, Y Qi, C Yakopcic, TM Taha 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 15 | 2020 |
FPGA design of a multicore neuromorphic processing system Y Qi, B Zhang, TM Taha, H Chen, R Hasan NAECON 2014-IEEE National Aerospace and Electronics Conference, 255-258, 2014 | 13 | 2014 |
Deep learning for medical materials: review and perspective Y Qi, C Liu ES Materials & Manufacturing 12, 17-28, 2021 | 11 | 2021 |
Socrates-D: Multicore architecture for on-line learning Y Qi, R Hasan, R Fernando, T Taha 2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017 | 6 | 2017 |
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators Y Qi, S Zhang, TM Taha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 5 | 2022 |
Design Space Exploration and Architecture Design for Inference and Training Deep Neural Networks Y Qi University of Dayton, 2021 | | 2021 |
Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training Y Qi, R Hasan, TM Taha 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | | 2018 |
FPGA Based High Throughput Low Power Multi-core Neuromorphic Processor Y Qi University of Dayton, 2015 | | 2015 |