| Moving window regression: A novel approach to ordinal regression NH Shin, SH Lee, CS Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 44 | 2022 |
| Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition SH Lee, CS Kim International Conference on Learning Representations, 2021 | 14 | 2021 |
| ELF-Nets: deep learning on point clouds using extended laplacian filter SH Lee, HU Kim, CS Kim Ieee Access 7, 156569-156581, 2019 | 7 | 2019 |
| Geometric Order Learning for Rank Estimation SH Lee, NH Shin, CS Kim Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| SAF-Nets: Shape-Adaptive Filter Networks for 3D point cloud processing SH Lee, CS Kim Journal of Visual Communication and Image Representation 79, 103246, 2021 | 4 | 2021 |
| Order Learning Using Partially Ordered Data via Chainization SH Lee, CS Kim European Conference on Computer Vision, 2022 | 3 | 2022 |
| Unsupervised Order Learning SH Lee, NH Shin, CS Kim International Conference on Learning Representations, 2024 | | 2024 |
| PMNet: Large-Scale Channel Prediction System for ICASSP 2023 First Pathloss Radio Map Prediction Challenge JH Lee, J Lee, SH Lee, AF Molisch ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Order Learning–An Overview SH Lee, NH Shin, CS Kim APSIPA Transactions on Signal and Information Processing 12 (1), 2023 | | 2023 |
| Unified Angle Adjustment Network for Image Composition Enhancement J Ko, NH Shin, S Lee, CS Kim 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | | 2022 |
Chang-Su KimProfessor of Korea University, FIEEEVerified email at korea.ac.kr
