• 613 Citations
  • 13 h-Index
20092019
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 7 Similar Profiles
Hardware Engineering & Materials Science
Decoding Engineering & Materials Science
Neural networks Engineering & Materials Science
Memristors Engineering & Materials Science
Throughput Engineering & Materials Science
Energy efficiency Engineering & Materials Science
Learning systems Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science

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Research Output 2009 2019

  • 613 Citations
  • 13 h-Index
  • 43 Conference contribution
  • 15 Article
  • 1 Editorial

Area-efficient K-Nearest Neighbor Design using Stochastic Computing

Xie, Y., Deng, C., Liao, S. & Yuan, B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 782-786 5 p. 8645529. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hardware
Electric power utilization
Logic circuits
Particle accelerators
Artificial intelligence

Efficient Reconfigurable Hardware Core for Convolutional Neural Networks

Wang, H., Lin, J., Xie, Y., Yuan, B. & Wang, Z., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 777-781 5 p. 8645259. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reconfigurable hardware
Convolution
Neural networks
Embedded systems
Hardware
Classifiers
Chemical activation
Neural networks
Hardware
Pattern recognition
14 Citations (Scopus)

C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

Wang, S., Li, Z., Ding, C., Yuan, B., Qiu, Q., Wang, Y. & Liang, Y., Feb 15 2018, FPGA 2018 - Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. Association for Computing Machinery, Inc, Vol. 2018-February. p. 11-20 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Field programmable gate arrays (FPGA)
Energy efficiency
Data storage equipment
Long short-term memory
Fast Fourier transforms

HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks

Li, Z., Li, J., Ren, A., Cai, R., Ding, C., Qian, X., Draper, J., Yuan, B., Tang, J., Qiu, Q. & Wang, Y., Jul 3 2018, (Accepted/In press) In : IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Research output: Contribution to journalArticle

Neural networks
Hardware
Energy efficiency
Cascade connections
Deep neural networks