Shijin Duan
Scholar

Shijin Duan

Google Scholar ID: RJ5CUeAAAAAJ
Northeastern University
Quantum MLML Security&PrivacyVSA/HDCFPGA
Citations & Impact
All-time
Citations
324
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers, including DAC'25, CPAL'25, ASPLOS'24, etc.
  • - Filed one patent and received one NSF award
  • - Developed an ultra-lightweight VSA classifier library for tiny microcontrollers, MicroVSA
  • - Explored the application of low-dimensional computing classifiers in brain-computer interfaces
  • - Proposed a learning-based hyperdimensional computing classifier, LeHDC
Research Experience
  • - Participated in multiple research projects, such as Ultra-Lightweight Binary Vector Symbolic Architecture (VSA)
  • - Collaborated with Prof. Shaolei Ren at UCR to advance VSA in machine learning
  • - Worked with Prof. Yunsi Fei and Prof. Aidong Ding at NEU on graph structure representation using cross-correlation autoencoders
Education
  • - Ph.D.: Northeastern University, Department of Computer Engineering, under the supervision of Prof. Xiaolin Xu
  • - Master's Degree: University of Illinois, Chicago, with a focus on machine learning, convex optimization, and robotic algorithms
Background
  • - Research Interests: Efficient Machine Learning (software-hardware co-design), Machine Learning Security and Privacy, Graph Machine Learning, Quantum Learning, and other related topics
  • - Field: Computer Engineering
  • - Introduction: Currently pursuing a Ph.D. at Northeastern University, focusing on machine learning, convex optimization, and robotic algorithms.