Myounghoon Ha is a postdoctoral researcher at Center for Neuroscience-inspired Artificial Intelligence (CNAI) @ KAIST. His research interests include deep learning, reinforcement learning, representation learning, and adversarial robustness.

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Interests
  • Deep Learning
  • Reinforcement Learning
  • Representation Learning
  • Adversarial Robustness
Education

  • PhD in Electrical Engineering and Computer Science, 2019

    Seoul National University

  • BSc in Information and Computer Science, 2010

    Ajou University

Publications

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Generalizable perceptual embedding with noise-tuning alignment
In proceedings of the 31st Annual Computational Neuroscience Meeting (CNS), 2022
Jungwon Ryu, Myoung Hoon Ha, Sang Wan Lee
Project
Generalizable perceptual embedding with noise-tuning alignment
InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
In proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Myoung Hoon Ha, Hyung-gun Chi, Seunggeun Chi, Sang Wan Lee, Qixing Huang, Karthik Ramani
Cite Code
InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
Evolutionary meta reinforcement learning for portfolio optimization
In proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2021
Myoung Hoon Ha, Seung-geun Chi, Sangyeop Lee, Yujin Cha, Byung-Ro Moon
Project
Evolutionary meta reinforcement learning for portfolio optimization
Understanding features on evolutionary policy optimizations: feature learning difference between gradient-based and evolutionary policy optimizations
In proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC), 2020
Sangyeop Lee, Myoung Hoon Ha, Byung-Ro Moon
Project
Understanding features on evolutionary policy optimizations: feature learning difference between gradient-based and evolutionary policy optimizations
The Evolution of Neural Network-based Chart Patterns: A Preliminary Study
In proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017
Myoung Hoon Ha, Byung-Ro Moon
Project
The Evolution of Neural Network-based Chart Patterns: A Preliminary Study
A Genetic Algorithm for Rule-based Chart Pattern Search in Stock Market Prices
In proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2016
Myoung Hoon Ha, Sangyeop Lee, Byung-Ro Moon
Project
A Genetic Algorithm for Rule-based Chart Pattern Search in Stock Market Prices
VLR: A Memory-based Optimization Heuristic
In proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN), 2014
Hansang Yun, Myoung Hoon Ha, Robert Ian McKay
Project
VLR: A Memory-based Optimization Heuristic

Experience

 
 
 
 
 
Center for Neuroscience-inspired AI @ KAIST
Postdoctoral Researcher
Center for Neuroscience-inspired AI @ KAIST
Nov 2019 – Present Daejeon
  • Supervised by professor Sang Wan Lee
 
 
 
 
 
Optus Investment
Certified Investment Manager
Optus Investment
May 2011 – Nov 2019 Seoul
  • Worked as a part-time worker (2011-2013) and a full-time worker (2014-2019) at the investment company owned by my adviser while doing my Ph.D.
  • Conducted research on investment strategies (stock pattern search and portfolio optimization) based on technical analysis and evolutionary reinforcement learning.
  • Managed private equity funds and developed auto-trading programs.
 
 
 
 
 
Pantech
Software Engineer
Pantech
Jan 2010 – Dec 2010 Seoul
  • Developed home applications and widgets for the android smartphones made by Pantech which was the 3rd biggest smartphone manufacturer in Korea at the moment.

Certificate

Certified Investment Manager
Korea Financial Investment Association (KOFIA) Mar 2011
See certificate