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ORCIDBing Han 0006
Person information
- affiliation: Purdue University, Department of Electrical and Computer Engineering, West Lafayette, IN, USA
Other persons with the same name
- Bing Han — disambiguation page
- Bing Han 0001 — University of Kansas, USA
- Bing Han 0002 — University of Derby, UK
- Bing Han 0003
![[0000-0002-6473-0438]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6473-0438")
— Xidian University, School of Electronic Engineering, Xi'an, China - Bing Han 0004 — Aalto University, School of Chemical Engineering, Helsinki, Finland (and 1 more)
- Bing Han 0005 — Dalian Maritime University, Shipping Economics and Management College / Collaborative Innovation Center for Transport Studies, China
- Bing Han 0007 — Xidian University, State Key Laboratory of ISN, Xi'an, China
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2020 – today
- 2022
[c5]Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. AAAI 2022: 6838-6846- 2021
- [i4]Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. CoRR abs/2109.13090 (2021) - 2020
- [c4]Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. CVPR 2020: 13555-13564 - [c3]Bing Han, Kaushik Roy:
Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding. ECCV (10) 2020: 388-404 - [i3]Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. CoRR abs/2003.01811 (2020)
2010 – 2019
- 2019
- [j4]Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3064-3076 (2019) - 2018
- [j3]Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 796-809 (2018) - [j2]Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4(4): 613-623 (2018) - [j1]Bing Han, Kaushik Roy:
DeltaFrame-BP: An Algorithm Using Frame Difference for Deep Convolutional Neural Networks Training and Inference on Video Data. IEEE Trans. Multi Scale Comput. Syst. 4(4): 624-634 (2018) - [i2]Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. CoRR abs/1807.00343 (2018) - 2016
- [c2]Abhronil Sengupta, Bing Han, Kaushik Roy:
Toward a spintronic deep learning spiking neural processor. BioCAS 2016: 544-547 - [c1]Bing Han, Abhronil Sengupta, Kaushik Roy:
On the energy benefits of spiking deep neural networks: A case study. IJCNN 2016: 971-976 - [i1]Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy:
Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR abs/1605.04494 (2016)
Coauthor Index
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