Yu Bi’s Research Profile

yu_bi

  • Assistant Professor
  • Electrical, Computer and Biomedical Engineering
  • 401.874.6422
  • Fax: 401.782.6422
  • yu_bi@uri.edu
  • Office Location: Fascitelli Center for Advanced Engineering 410
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Recent Publications1

Citation Journal Impact Factor
Khoshavi N, Sargolzaei S, Bi Y, Roohi A. Entropy-Based Modeling for Estimating Adversarial Bit-flip Attack Impact on Binarized Neural Network. 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021; 493-498.
Khoshavi N, Broyles C, Bi Y, Rooji A. Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. 19th IEEE International Conference on Machine Learning and Applications, 2020; 1139-1144. doi:10.1109/ICMLA51294.2020.00183.
Khoshavi N, Roohi A, Broyles C, Sargolzaei S, Bi Y, Pan DZ. SHIELDeNN: Online Accelerated Framework for Fault-Tolerant Deep Neural Network Architectures. 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020; 1-6. doi: 10.1109/DAC18072.2020.9218697.
Khoshavi N, Broyles C, Bi Y. Compression or Corruption? A Study on the Effects of Transient Faults on BNN Inference Accelerators. 2020 21st International Symposium on Quality Electronic Design (ISQED), 2020; 99-104. doi: 10.1109/ISQED48828.2020.9137006
Khoshavi N, Maghsoudloo M, Bi Y, Francois W, Jaimes L, Sargolzaei A. A Survey on Attack Vectors in Stack Cache Memory. Integration, the VLSI Journal, 2020; 72, 134-147. doi: 10.1016/j.vlsi.2020.02.004 2021 JIF 1.647, 2020 JIF 1.542
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