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ORCIDJoonghyuk Hahn
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2020 – today
- 2026
[j3]Joonghyuk Hahn
, Aditi, Seung-Yeop Baik, Shinwoo Park, Sang-Ki Ko, Yo-Sub Han:
EnCur: Curriculum-based in-context learning with structural encoding for code time complexity prediction. Expert Syst. Appl. 296: 129094 (2026)- 2025
- [j2]Shinwoo Park, Joonghyuk Hahn, Elizabeth Orwig, Sang-Ki Ko, Yo-Sub Han:
Advanced code time complexity prediction approach using contrastive learning. Eng. Appl. Artif. Intell. 151: 110631 (2025) - [c11]Yejin Lee, Joonghyuk Hahn, Hyeseon Ahn, Yo-Sub Han:
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection. EMNLP 2025: 28862-28874 - [c10]Joonghyuk Hahn, Hyeseon Ahn, Jungin Kim, Soohan Lim, Yo-Sub Han:
TCProF:Time-Complexity Prediction SSL Framework. NAACL (Long Papers) 2025: 9517-9542 - [i10]Seok-Ung Choi, Joonghyuk Hahn, Yo-Sub Han:
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search. CoRR abs/2502.07494 (2025) - [i9]Joonghyuk Hahn, Hyeseon Ahn, Jungin Kim, Soohan Lim, Yo-Sub Han:
TCProF:Time-Complexity Prediction SSL Framework. CoRR abs/2502.15749 (2025) - [i8]Yejin Lee, Joonghyuk Hahn, Hyeseon Ahn, Yo-Sub Han:
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection. CoRR abs/2505.19528 (2025) - [i7]Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han:
Repairing Regex Vulnerabilities via Localization-Guided Instructions. CoRR abs/2510.09037 (2025) - [i6]Joonghyuk Hahn, Soohan Lim, Yo-Sub Han:
MEC3O: Multi-Expert Consensus for Code Time Complexity Prediction. CoRR abs/2510.09049 (2025) - [i5]Hyundong Jin, Joonghyuk Hahn, Yo-Sub Han:
RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex Problems. CoRR abs/2510.09227 (2025) - [i4]Su-Hyeon Kim, Joonghyuk Hahn, Sooyoung Cha, Yo-Sub Han:
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs. CoRR abs/2510.10517 (2025) - [i3]Soohan Lim, Joonghyuk Hahn, Hyunwoo Park, Sang-Ki Ko, Yo-Sub Han:
Do Large Language Models Respect Contracts? Evaluating and Enforcing Contract-Adherence in Code Generation. CoRR abs/2510.12047 (2025) - 2024
- [j1]Hyunjoon Cheon, Joonghyuk Hahn, Yo-Sub Han:
On the Decidability of Infix Inclusion Problem. Theory Comput. Syst. 68(3): 301-321 (2024) - [c9]Ju Hyoung Lee, Joonghyuk Hahn, Hyeon-Tae Seo, Jiho Park, Yo-Sub Han:
SuperST: Superficial Self-Training for Few-Shot Text Classification. LREC/COLING 2024: 15436-15447 - [c8]Ingyu Baek, Joonghyuk Hahn, Yo-Sub Han, Kai Salomaa:
Universal Rewriting Rules for the Parikh Matrix Injectivity Problem. DLT 2024: 68-81 - [i2]Seung-Yeop Baik, Mingi Jeon, Joonghyuk Hahn, Jungin Kim, Yo-Sub Han, Sang-Ki Ko:
CodeComplex: A Time-Complexity Dataset for Bilingual Source Codes. CoRR abs/2401.08719 (2024) - 2023
- [c7]Joonghyuk Hahn, Hyunjoon Cheon, Elizabeth Orwig, Su-Hyeon Kim, Sang-Ki Ko, Yo-Sub Han:
GDA: Grammar-based Data Augmentation for Text Classification using Slot Information. EMNLP (Findings) 2023: 7291-7306 - [c6]JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han:
ATHENA: Mathematical Reasoning with Thought Expansion. EMNLP 2023: 16315-16327 - [c5]Joonghyuk Hahn, Hyunjoon Cheon, Yo-Sub Han:
M-equivalence of Parikh Matrix over a Ternary Alphabet. CIAA 2023: 141-152 - [i1]JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han:
ATHENA: Mathematical Reasoning with Thought Expansion. CoRR abs/2311.01036 (2023) - 2022
- [c4]Jikyoeng Son, Joonghyuk Hahn, HyeonTae Seo, Yo-Sub Han:
Boosting Code Summarization by Embedding Code Structures. COLING 2022: 5966-5977 - [c3]Hyunjoon Cheon, Joonghyuk Hahn, Yo-Sub Han:
On the Decidability of Infix Inclusion Problem. DLT 2022: 115-126 - 2021
- [c2]Hyunjoon Cheon, Joonghyuk Hahn, Yo-Sub Han, Sang-Ki Ko:
Most Pseudo-copy Languages Are Not Context-Free. COCOON 2021: 189-200 - [c1]Joonghyuk Hahn, Hyunjoon Cheon, Kyuyeol Han, Cheongjae Lee, Junseok Kim, Yo-Sub Han:
Self-Training using Rules of Grammar for Few-Shot NLU. EMNLP (Findings) 2021: 4576-4581
Coauthor Index
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