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Yumin Kim
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2020 – today
- 2026
[c10]Seojin Hwang, Yumin Kim, Byeongjeong Kim, Donghoon Shin, Hwanhee Lee:
Personality Editing for Language Models through Adjusting Self-Referential Queries. EACL (Volume 1: Long Papers) 2026: 3330-3351
[i13]Yumin Kim, Seonghyeon Go:
Fusion Segment Transformer: Bi-Directional Attention Guided Fusion Network for AI-Generated Music Detection. CoRR abs/2601.13647 (2026)
[i12]Weerayut Buaphet, Thanh-Nhi Nguyen, Risa Kondo, Tomoyuki Kajiwara, Yumin Kim, Jimin Lee, Hwanhee Lee, Holy Lovenia, Peerat Limkonchotiwat, Sarana Nutanong, Rob van der Goot:
MultiLexNorm++: A Unified Benchmark and a Generative Model for Lexical Normalization for Asian Languages. CoRR abs/2601.16623 (2026)
[i11]Seonghyeon Go, Yumin Kim:
Music Plagiarism Detection: Problem Formulation and a Segment-based Solution. CoRR abs/2601.21260 (2026)
[i10]Yumin Kim, Hyeonsu Lyu, Minjae Lee, Hyun Jong Yang:
Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty. CoRR abs/2602.07958 (2026)
[i9]Hyeonsu Lyu, Yumin Kim, Hyun Jong Yang:
End-to-End Secure Connection Probability in MultiLayer Networks with Heterogeneous Rician Fading. CoRR abs/2602.07959 (2026)
[i8]Hyunwoo Kim, Hanau Yi, Jaehee Bae, Yumin Kim:
Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift. CoRR abs/2602.22790 (2026)- 2025
[c9]Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. AAAI 2025: 4239-4247
[c8]Yumin Kim, Seonghyeon Go:
Segment Transformer: AI-Generated Music Detection via Music Structural Analysis. APSIPA 2025: 664-669
[c7]Hwan Chang, Yumin Kim, Yonghyun Jun, Hwanhee Lee:
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering. EMNLP 2025: 6780-6800
[i7]Seojin Hwang, Yumin Kim, Byeongjeong Kim, Hwanhee Lee:
Personality Editing for Language Models through Relevant Knowledge Editing. CoRR abs/2502.11789 (2025)
[i6]Yumin Kim, Hwanhee Lee:
Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection. CoRR abs/2504.12082 (2025)
[i5]Hwan Chang, Yumin Kim, Yonghyun Jun, Hwanhee Lee:
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering. CoRR abs/2505.15805 (2025)
[i4]Yumin Kim, Seonghyeon Go:
Segment Transformer: AI-Generated Music Detection via Music Structural Analysis. CoRR abs/2509.08283 (2025)- 2024
[c6]Yumin Kim, Heejae Suh, Mingi Kim, Dongyeon Won, Hwanhee Lee:
KoCoSa: Korean Context-aware Sarcasm Detection Dataset. LREC/COLING 2024: 9890-9904
[c5]Yumin Kim, Gayoon Choi, Seong Jae Hwang:
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. MICCAI (7) 2024: 518-528
[i3]Yumin Kim, Heejae Suh, Mingi Kim, Dongyeon Won, Hwanhee Lee:
KoCoSa: Korean Context-aware Sarcasm Detection Dataset. CoRR abs/2402.14428 (2024)
[i2]Yumin Kim, Gayoon Choi, Seong Jae Hwang:
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. CoRR abs/2407.07517 (2024)
[i1]Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. CoRR abs/2411.00432 (2024)- 2023
[c4]Hyojung Jung, Hyun Woo Park, Yumin Kim, Yul Hwangbo:
Machine learning-based prediction for 30-day unplanned readmission in all-types cancer patients. BigComp 2023: 132-135
[c3]Yumin Kim, Yeji Lee, Hyun Woo Park, Hyojung Jung, Yul Hwangbo, Hyo Soung Cha:
Prediction of Chemotherapy-Induced Neutropenia using Machine Learning in Cancer Patients. BigComp 2023: 136-139- 2021
[c2]Seoyeon Kang, Sujeong Lee, Yumin Kim, Seong-Kyun Mok, Eun-Sun Cho:
OBFUS: An Obfuscation Tool for Software Copyright and Vulnerability Protection. CODASPY 2021: 309-311- 2020
[j1]Yumin Kim, Jihun Kim, Seung Soo Kim, Young Jae Kwon, Gil Seop Kim, Jeong Woo Jeon
, Dae Eun Kwon, Jung Ho Yoon, Cheol Seong Hwang
:
Kernel Application of the Stacked Crossbar Array Composed of Self-Rectifying Resistive Switching Memory for Convolutional Neural Networks. Adv. Intell. Syst. 2(2): 1900116 (2020)
2010 – 2019
- 2019
[c1]Jaehyun Kim, Chaeun Lee, Jihun Kim, Yumin Kim, Cheol Seong Hwang, Kiyoung Choi:
VCAM: Variation Compensation through Activation Matching for Analog Binarized Neural Networks. ISLPED 2019: 1-6
Coauthor Index

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last updated on 2026-03-31 23:32 CEST by the dblp team
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