Ji Joong Moon
Scholar

Ji Joong Moon

Google Scholar ID: uqq3LV4AAAAJ
Samsung Research
Neural NetworkSystem SoftwareParallel Computing
Citations & Impact
All-time
Citations
76
 
H-index
5
 
i10-index
2
 
Publications
20
 
Co-authors
0
 
Publications
1 items
Continual Error Correction on Low-Resource Devices
ACM SIGMM Conference on Multimedia Systems · 2025
Cited
0
Resume (English only)
Research Experience
  • Software Engineer at Samsung Research, responsible for the NNTrainer project (Dec 2019 - Current), aiming to develop a Software Framework to train neural network models on resource-limited embedded devices.
  • Main contributor to the NNStreamer project (June 2018 - Current), an open-source set of Gstreamer plugins that allows easy adoption of neural network models.
  • Developed Tizen Platform for Autonomous Driving (May 2018 - Jan 2018), including various software packages like ROS and Neural Network Frameworks (Caffe, TensorFlow, etc.).
  • NPU Compiler Development (Mar 2017 - Dec 2017), mainly focused on front-end (parser, optimizer) development.
  • CheckedC Compiler Development (Oct 2016 - Feb 2017), collaborated with Microsoft Research to improve LLVM/CLANG implementation.
  • Worked on On-Device Encryption system software (Oct 2016 - Feb 2017) within the security team.
  • Conducted Vulnerability Assessment (Mar 2015 - Sep 2015), analyzed software including Kernel and boot sequence, wrote PoC code for rooting and demonstrated security attacks.
  • Researched AOT Compiler Technique (Jul 2014 - Feb 2015) and developed Auto Parallelization & improved OpenMP (Jan 2013 - June 2014) while working at DMC R&D Center.
Background
  • Software Engineer, developing System SW for embedded devices at Samsung Electronics. Interests include Parallel Computing, Programming Languages, and System SW Frameworks for Neural Networks. Also interested in Acceleration frameworks for Linear Algebra such as BLAS, LAPACK, LINPACK, etc.
Co-authors
0 total
Co-authors: 0 (list not available)