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Engram Memory Network: Brain-Inspired Prototype Explanations
International Joint Conference on Neural Networks (IJCNN), 2026 (accepted)
Hyunjun Kim, Myoung Hoon Ha
Engram Memory Network: Brain-Inspired Prototype Explanations
Stable and Scalable Deep Predictive Coding Networks with Meta Prediction Errors
In proceedings of the Fourteenth International Conference on Learning Representations (ICLR), 2026
Myoung Hoon Ha, Hyunjun Kim, Yoondo Sung, Youngha Jo, Min S. Kang, Sang Wan Lee
Stable and Scalable Deep Predictive Coding Networks with Meta Prediction Errors
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesman Problem
In proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE-EAIS), Madrid, Spain, 2024
Myoung Hoon Ha, Seunggeun Chi, Sang Wan Lee
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesman Problem
Generalizable perceptual embedding with noise-tuning alignment
In proceedings of the 32nd Annual Computational Neuroscience Meeting (CNS), 2023
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