| Security and privacy issues in deep learning H Bae, J Jang, D Jung, H Jang, H Ha, H Lee, S Yoon arXiv preprint arXiv:1807.11655, 2018 | 98 | 2018 |
| Reinforcement learning based recommender system using biclustering technique S Choi, H Ha, U Hwang, C Kim, JW Ha, S Yoon arXiv preprint arXiv:1801.05532, 2018 | 77 | 2018 |
| Collaborative analytics for data silos J Kim, H Ha, BG Chun, S Yoon, SK Cha 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 743-754, 2016 | 26 | 2016 |
| Deep trustworthy knowledge tracing H Ha, U Hwang, Y Hong, J Jang, S Yoon arXiv preprint arXiv:1805.10768, 2018 | 18 | 2018 |
| Fedclassavg: Local representation learning for personalized federated learning on heterogeneous neural networks J Jang, H Ha, D Jung, S Yoon Proceedings of the 51st International Conference on Parallel Processing, 1-10, 2022 | 13 | 2022 |
| FICGAN: facial identity controllable GAN for de-identification Y Jeong, J Choi, S Kim, Y Ro, TH Oh, D Kim, H Ha, S Yoon arXiv preprint arXiv:2110.00740, 2021 | 12 | 2021 |
| Energy-based sequence gans for recommendation and their connection to imitation learning J Yoo, H Ha, J Yi, J Ryu, C Kim, JW Ha, YH Kim, S Yoon arXiv preprint arXiv:1706.09200, 2017 | 12 | 2017 |
| Reinforcement learning based recommender system using biclustering technique (2018) S Choi, H Ha, U Hwang, C Kim, JW Ha, S Yoon arXiv preprint arXiv:1801.05532, 2018 | 6 | 2018 |
| Membership feature disentanglement network H Ha, J Jang, Y Jeong, S Yoon Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 5 | 2022 |
| Membership Privacy-Preserving GAN. H Ha, U Hwang, J Jang, H Bae, S Yoon BMVC, 576, 2022 | 1 | 2022 |
| Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services H Bae, H Ha, S Kim 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Study of the text analysis and feature selection performance for emotional inference H Kim, H Ha, S Park, S Yoon Proceedings of the Korea Information Processing Society Conference, 876-878, 2014 | | 2014 |
| Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases H Ha, J Kim, J Park, S Yoon | | |
