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Research
Machine Learning Acceleration Intelligent Transportation Systems AI-driven Multi-Level Compilers Quantum Machine Learning Extended Research Areas
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Software
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Yohan Ko
Visiting Faculty Joined 2024

Yohan Ko

Personal Website ↗
Google Scholar ↗

Areas of interest: Reliability estimation on cycle-accurate simulators, Robust software for common CPU and specific hardwares such as CGRA and VLIW, Context-awareness based on machine learning techniques

Recent Publications

  • Adversarial Defense on Harmony: Reverse Attack for Robust Models Against Adversarial Attack
  • Maintaining Sanity: Algorithm-based Comprehensive Fault Tolerance for CNNs
  • gemV-tool: A Comprehensive Soft Error Reliability for Machine Learning Estimation Tool for Design Space Exploration
  • Root cause analysis of soft-error-induced failures from hardware and software perspectives
  • EXPERTISE: An Effective Software-level Redundant Multithreading Scheme against Hardware Faults

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School of Computing & Augmented Intelligence
Arizona State University
Tempe, AZ 85281

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