| InfoGCN: Representation Learning for Human Skeleton-based Action Recognition MH Ha*, H Chi*, S Chi, SW Lee, Q Huang, K Ramani Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 136 | 2022 |
| A genetic algorithm for rule-based chart pattern search in stock market prices MH Ha, S Lee, BR Moon Proceedings of the Genetic and Evolutionary Computation Conference 2016, 909-916, 2016 | 8 | 2016 |
| Evolutionary meta reinforcement learning for portfolio optimization MH Ha, S Chi, S Lee, Y Cha, M Byung-Ro Proceedings of the Genetic and Evolutionary Computation Conference, 964-972, 2021 | 3 | 2021 |
| The evolution of neural network-based chart patterns: a preliminary study MH Ha, BR Moon Proceedings of the Genetic and Evolutionary Computation Conference, 1113-1120, 2017 | 3 | 2017 |
| VLR: A memory-based optimization heuristic H Yun, MH Ha, RI McKay Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 2 | 2014 |
| Understanding features on evolutionary policy optimizations: Feature learning difference between gradient-based and evolutionary policy optimizations S Lee, MH Ha, B Moon Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1112-1118, 2020 | 1 | 2020 |
| A Rule-based Pattern Search with a Genetic Algorithm MH Ha, S Lee, BR Moon | | 2016 |
| Raw data of experimental results over 50-runs by VLR (Visited-Local-Region) method H Yun, MH Ha, RI McKay, BR Moon | | 2014 |
Byung-Ro MoonComputer Science & Engineering, Seoul National UniversityVerified email at snu.ac.kr
