| Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network B Han, G Srinivasan, K Roy Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 310 | 2020 |
| Deep spiking neural network: Energy efficiency through time based coding B Han, K Roy European Conference on Computer Vision, 388-404, 2020 | 140 | 2020 |
| Probabilistic deep spiking neural systems enabled by magnetic tunnel junction A Sengupta, M Parsa, B Han, K Roy IEEE Transactions on Electron Devices 63 (7), 2963-2970, 2016 | 122 | 2016 |
| Xcel-RAM: Accelerating binary neural networks in high-throughput SRAM compute arrays A Agrawal, A Jaiswal, D Roy, B Han, G Srinivasan, A Ankit, K Roy IEEE Transactions on Circuits and Systems I: Regular Papers 66 (8), 3064-3076, 2019 | 112 | 2019 |
| Energy efficient neural computing: A study of cross-layer approximations SS Sarwar, G Srinivasan, B Han, P Wijesinghe, A Jaiswal, P Panda, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018 | 50 | 2018 |
| On the energy benefits of spiking deep neural networks: A case study B Han, A Sengupta, K Roy 2016 International Joint Conference on Neural Networks (IJCNN), 971-976, 2016 | 50 | 2016 |
| Acceleration of spiking neural network based pattern recognition on NVIDIA graphics processors B Han, TM Taha Applied Optics 49 (10), B83-B91, 2010 | 45 | 2010 |
| Cross-layer design exploration for energy-quality tradeoffs in spiking and non-spiking deep artificial neural networks B Han, A Ankit, A Sengupta, K Roy IEEE Transactions on Multi-Scale Computing Systems 4 (4), 613-623, 2017 | 23 | 2017 |
| Neuromorphic models on a GPGPU cluster B Han, TM Taha The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 21 | 2010 |
| Toward a spintronic deep learning spiking neural processor A Sengupta, B Han, K Roy 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 544-547, 2016 | 16 | 2016 |
| Deltaframe-bp: An algorithm using frame difference for deep convolutional neural networks training and inference on video data B Han, K Roy IEEE Transactions on Multi-Scale Computing Systems 4 (4), 624-634, 2018 | 7 | 2018 |
| Oscillatory fourier neural network: A compact and efficient architecture for sequential processing B Han, C Wang, K Roy Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6838-6846, 2022 | 6 | 2022 |
| Acceleration of Spiking Neural Network on General Purpose Graphics Processors B Han University of Dayton, 2010 | 3 | 2010 |
| High Performance and Energy Efficient Deep Learning Models B Han Purdue University, 2022 | | 2022 |
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue UniversityVahvistettu sähköpostiosoite verkkotunnuksessa purdue.edu
