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Fingerprint Dive into the research topics where Fengbo Ren is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Field programmable gate arrays (FPGA) Engineering & Materials Science
Random access storage Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Tunnel junctions Engineering & Materials Science
Compressive Sensing Mathematics
Health Engineering & Materials Science
Throughput Engineering & Materials Science
Engines Engineering & Materials Science

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Research Output 2010 2018

  • 416 Citations
  • 10 h-Index
  • 16 Conference contribution
  • 14 Article
1 Citation (Scopus)

A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing

Li, Y., Liu, Z., Liu, W., Jiang, Y., Wang, Y., Goh, W. L., Yu, H. & Ren, F., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Industrial Electronics.

Research output: Contribution to journalArticle

Particle accelerators
Energy efficiency
Architectural design
1 Citation (Scopus)

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection

Feng, Y., Yang, F., Zhou, X., Guo, Y., Tang, F., Ren, F., Guo, J. & Ji, S., May 11 2018, (Accepted/In press) In : IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research output: Contribution to journalArticle

Prostate Cancer
Ultrasound Image
Prostatic Neoplasms
10 Citations (Scopus)

A GPU-outperforming FPGA accelerator architecture for binary convolutional neural networks

Li, Y., Liu, Z., Xu, K., Yu, H. & Ren, F., Jul 1 2018, In : ACM Journal on Emerging Technologies in Computing Systems. 14, 2, 3154839.

Research output: Contribution to journalArticle

Particle accelerators
Field programmable gate arrays (FPGA)
Neural networks
Energy efficiency
5 Citations (Scopus)

CSVideoNet: A real-time end-to-end learning framework for high-frame-rate video compressive sensing

Xu, K. & Ren, F., May 3 2018, Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1680-1688 9 p.

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

Signal to noise ratio

LAPRAN: A scalable laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction

Xu, K., Zhang, Z. & Ren, F., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer Verlag, p. 491-507 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11214 LNCS).

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

Compressive Sensing
Image reconstruction
Image Reconstruction

Projects 2016 2022