Seonghyeon Lee

About Seonghyeon Lee

Seonghyeon Lee, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Pohang University of Science and Technology, specializes in the field of Data mining, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring Language Model’s Code Generation Ability with Auxiliary Functions

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

Learning topology-specific experts for molecular property prediction

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

Toward interpretable semantic textual similarity via optimal transport-based contrastive sentence learning

Learnable structural semantic readout for graph classification

Learnable dynamic temporal pooling for time series classification

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

Seonghyeon Lee Information

University

Position

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Citations(all)

73

Citations(since 2020)

73

Cited By

2

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Seonghyeon Lee Skills & Research Interests

Data mining

Natural Language Processing

Top articles of Seonghyeon Lee

Exploring Language Model’s Code Generation Ability with Auxiliary Functions

2024/6

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

arXiv preprint arXiv:2402.17377

2024/2/27

Learning topology-specific experts for molecular property prediction

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

arXiv preprint arXiv:2211.01981

2022/10/18

Toward interpretable semantic textual similarity via optimal transport-based contrastive sentence learning

arXiv preprint arXiv:2202.13196

2022/2/26

Learnable structural semantic readout for graph classification

2021/12/7

Learnable dynamic temporal pooling for time series classification

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

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

2021/8

See List of Professors in Seonghyeon Lee University(Pohang University of Science and Technology)

Co-Authors

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