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ORCIDBoyu Zhang 0001
Person information
- affiliation: University of Wisconsin, Electrical and Computer Engineering Department, WI, USA
Other persons with the same name
- Boyu Zhang — disambiguation page
- Boyu Zhang 0002 — University of Delaware, Department of Computer and Information Sciences, Newark, DE, USA
- Boyu Zhang 0003
![[0000-0003-2256-1071]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2256-1071")
— Tsinghua University, Department of Biomedical Engineering, School of Medicine, Beijing, China
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Journal Articles
- 2021
[j3]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
A Mixture of Experts Approach for Low-Cost DNN Customization. IEEE Des. Test 38(4): 52-59 (2021)- 2019
- [j2]Wei Zeng, Boyu Zhang, Azadeh Davoodi:
Analysis of Security of Split Manufacturing Using Machine Learning. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2767-2780 (2019) - 2018
- [j1]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Exploring Energy and Accuracy Tradeoff in Structure Simplification of Trained Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 836-848 (2018)
Conference and Workshop Papers
- 2020
- [c5]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
CHaPR: Efficient Inference of CNNs via Channel Pruning. COINS 2020: 1-6 - 2018
- [c4]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Exploring energy and accuracy tradeoff in structure simplification of trained deep neural networks. ASP-DAC 2018: 331-336 - [c3]Boyu Zhang, Jonathon Crandall Magaña, Azadeh Davoodi:
Analysis of security of split manufacturing using machine learning. DAC 2018: 141:1-141:6 - [c2]Jackson Melchert, Boyu Zhang, Azadeh Davoodi:
A Comparative Study of Local Net Modeling Using Machine Learning. ACM Great Lakes Symposium on VLSI 2018: 273-278 - 2017
- [c1]Boyu Zhang, Azadeh Davoodi:
Technology mapping with all spin logic. DATE 2017: 930-933
Informal and Other Publications
- 2019
- [i2]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Efficient Inference of CNNs via Channel Pruning. CoRR abs/1908.03266 (2019) - 2018
- [i1]Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks. CoRR abs/1811.00056 (2018)
Coauthor Index
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