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2020 – today
- 2024
[j1]Eunji Lee
, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha:
Explainable Product Classification for Customs. ACM Trans. Intell. Syst. Technol. 15(2): 25:1-25:24 (2024)- [c7]Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim:
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. ICLR 2024 - [c6]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine-tuning Pre-trained Models for Robustness under Noisy Labels. IJCAI 2024: 3643-3651 - [i10]Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim:
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. CoRR abs/2401.12517 (2024) - [i9]Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi:
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR abs/2405.01588 (2024) - [i8]Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun:
VACoDe: Visual Augmented Contrastive Decoding. CoRR abs/2408.05337 (2024) - 2023
- [c5]Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim:
Self-Positioning Point-Based Transformer for Point Cloud Understanding. CVPR 2023: 21814-21823 - [c4]Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim:
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. ICCV 2023: 593-603 - [c3]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. NeurIPS 2023 - [i7]Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim:
Self-positioning Point-based Transformer for Point Cloud Understanding. CoRR abs/2303.16450 (2023) - [i6]Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim:
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. CoRR abs/2308.11916 (2023) - [i5]Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun:
Fine tuning Pre trained Models for Robustness Under Noisy Labels. CoRR abs/2310.17668 (2023) - [i4]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. CoRR abs/2310.20258 (2023) - [i3]Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha:
Explainable Product Classification for Customs. CoRR abs/2311.10922 (2023) - 2022
- [i2]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR abs/2203.14082 (2022) - 2021
- [c2]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. ICCV 2021: 528-537 - [c1]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021: 19010-19020 - [i1]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. CoRR abs/2110.05379 (2021)
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