Kai-Chiang Wu

吳凱強

Associate Professor
Department of Computer Science
National Yang Ming Chiao Tung University (NYCU)
kcw [at] cs.nycu.edu.tw
[bio] [office]
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My research group is investigating how best to build the next generation of machine-learning-centric computer systems. We study methods to co-design and co-optimize neural networks and the hardware on which they run, with a special interest in reconfigurable computing using devices like FPGAs. Our goal is to enable efficient deep learning in both mobile devices and datacenters. Our current research projects include:

  • AI computing platform design (AI運算平台設計)
  • Approximate computing for AI applications (近似計算於AI之應用) [video], [detail]
  • Cybersecurity and hardware Trojan (安全與硬體特洛伊)
  • Electronic design automation, system-on-chip/chip-multiprocessor design verification and optimization (SoC設計自動化)
  • High-performance energy-aware computing, approximate/green computing (高效節能計算)
  • Reliable/trustworthy system design, design for reliability/trust (可靠系統設計)

news

Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 7, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.

selected publications

  1. Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
    A. Einstein, B. Podolsky, and N. Rosen
    Phys. Rev., May 1935