Publications

Names of lab members are shown in bold.

International Conference

2026

• EMNLP 2026 Main

  Layer-wise Target Propagation: Efficient Component Attribution through Target Centric Propagation

  Lasse Marten Jantsch, Dong-Jae Koh, Seonghyeon Lee*, Young-Kyoon Suh* (*: Corresponding authors)

  Acceptance rate: 15.4%

  arXiv

• ICMR 2026

  On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval

  Seongbo Jang, Seonghyeon Lee, Dongha Lee, Hwanjo Yu

  The 16th ACM International Conference on Multimedia Retrieval

  Paper

• WWW 2026

  Dynamic Multi-period Experts for Online Time Series Forecasting

  Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu

  Proceedings of The ACM Web Conference 2026

  Paper

• AAAI 2026

  Harmonic Dataset Distillation for Time Series Forecasting

  Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu

  Proceedings of the 40th AAAI Conference on Artificial Intelligence

  Paper

2025

• EMNLP 2025 Findings

  How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code

  Seonghyeon Lee, HeeJae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu

  Findings of the Association for Computational Linguistics: EMNLP 2025

  Paper arXiv

• ACL 2025 Findings

  Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning

  Joonwon Jang, Jaehee Kim, Wongin Kweon, Seonghyeon Lee, Hwanjo Yu

  Findings of the Association for Computational Linguistics: ACL 2025

  Paper

• KDD 2025

  Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark

  Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu

  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining

  Paper

2024

• EMNLP 2024 Findings

  Eliciting Instruction-tuned Code Language Models’ Capabilities to Utilize Auxiliary Function for Code Generation

  Seonghyeon Lee, Suyeon Kim, Joonwon Jang, HeeJae Chon, Dongha Lee, Hwanjo Yu

  Findings of the Association for Computational Linguistics: EMNLP 2024

  Paper

• NAACL 2024 Findings

  Exploring Language Model’s Code Generation Ability with Auxiliary Functions

  Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu

  Findings of the Association for Computational Linguistics: NAACL 2024

  Paper arXiv

• LREC-COLING 2024

  KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark

  Seonghyeon Lee*, Seongbo Jang*, Hwanjo Yu (*: Equal contribution)

  Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation

  Paper arXiv

• CVPR 2024

  Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection

  Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu

  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

  Paper

2023

• AAAI 2023

  Learning Topology-Specific Experts for Molecular Property Prediction

  Suyeon Kim, Dongha Lee, Seongku Kang, Seonghyeon Lee, Hwanjo Yu

  Proceedings of the 37th AAAI Conference on Artificial Intelligence

  Paper arXiv

2022

• EMNLP 2022 Findings

  Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

  Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han

  Findings of the Association for Computational Linguistics: EMNLP 2022

  Paper arXiv

• ACL 2022

  Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning

  Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu

  Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

  Paper arXiv

2021

• ICDM 2021

  Learnable Structural Semantic Readout for Graph Classification

  Dongha Lee, Suyeon Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu

  2021 IEEE International Conference on Data Mining

  Paper arXiv

• AAAI 2021

  Learnable Dynamic Temporal Pooling for Time Series Classification

  Dongha Lee, Seonghyeon Lee, Hwanjo Yu

  Proceedings of the 35th AAAI Conference on Artificial Intelligence

  Paper arXiv

• ACL 2021

  OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification

  Seonghyeon Lee, Dongha Lee, Hwanjo Yu

  Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

  Paper arXiv

2019

• CIKM 2019

  BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network

  Seonghyeon Lee, Chanyoung Park, Hwanjo Yu

  Proceedings of the 28th ACM International Conference on Information and Knowledge Management

  Paper arXiv

International Journal

2026

• IEICE Trans. Inf. & Syst.

  Augmented Code Language Models: A Survey on Advanced Code Intelligence

  Seonghyeon Lee, Gyeongmuk Park, Jeongmin Kim, Yeonsu Park

  IEICE Transactions on Information and Systems, 2026

  Paper

• IEEE Access

  Minimizing Response Latency in LLM-Based Agent Systems: A Comprehensive Survey

  Gyeongmuk Park, Seonghyeon Lee, Yeonsu Park

  IEEE Access, 2026, Vol. 14, pp. 26140–26168 (SCI-E)

  Paper

• IEICE Trans. Inf. & Syst.

  Accelerating Sequential Pattern Mining on Spark: A SPADE-Based Approach

  Yeonsu Park, Seonghyeon Lee

  IEICE Transactions on Information and Systems, 2026, Vol. E109.D, No. 2, pp. 273–278 (SCI-E)

  Paper

Domestic Conference

2019

• KCC 2019

  Attention Mechanism for Sequential Recommendation

  Seonghyeon Lee, Hwanjo Yu

  Korea Computer Congress 2019