| Parallax: Sparsity-aware data parallel training of deep neural networks S Kim, GI Yu, H Park, S Cho, E Jeong, H Ha, S Lee, JS Jeong, BG Chun Proceedings of the Fourteenth EuroSys Conference 2019, 1-15, 2019 | 97 | 2019 |
| Refurbish your training data: Reusing partially augmented samples for faster deep neural network training G Lee, I Lee, H Ha, K Lee, H Hyun, A Shin, BG Chun 2021 USENIX Annual Technical Conference (USENIX ATC 21), 537-550, 2021 | 19 | 2021 |
| Breaking ad-hoc runtime integrity protection mechanisms in android financial apps T Kim, H Ha, S Choi, J Jung, BG Chun Proceedings of the 2017 ACM on Asia Conference on Computer and …, 2017 | 14 | 2017 |
| Sumnas: Supernet with unbiased meta-features for neural architecture search H Ha, JH Kim, S Park, BG Chun International Conference on Learning Representations, 2021 | 4 | 2021 |
| Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning H Ha, S Jung, J Park, M Seo, S Hwang, BG Chun Findings of the Association for Computational Linguistics: ACL 2023, 3335-3350, 2023 | 1 | 2023 |
| Survey on Recent Continual Learning Studies in NLP J Lee, H Ha, BG Chun 한국정보과학회 학술발표논문집, 999-1001, 2022 | 1 | 2022 |
| Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service H Ha, J Lee, W Han, BG Chun The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| A Survey on Memory Optimization Techniques and Frameworks for Training Large Language Models W Han, T Lee, H Ha, BG Chun 한국정보과학회 학술발표논문집, 1187-1189, 2022 | | 2022 |
| Question Answering Model for Programming Languages M Kim, A Shin, G Lee, S Jung, J Lee, H Ha, BG Chun 한국정보과학회 학술발표논문집, 1395-1397, 2021 | | 2021 |
| A Survey on Pruning and Sharing DNN Parameters for Compression and Acceleration H Ha, BG Chun 한국정보과학회 학술발표논문집, 631-633, 2019 | | 2019 |
| Adversarial Example Generation for DNNs with Non-differentiable Objective Functions H Ha, BG Chun 한국정보과학회 학술발표논문집, 892-894, 2018 | | 2018 |
