Gyuseong Lee

According to our database¹, Gyuseong Lee authored at least 17 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments.

[BibT_eX]

[DOI]

CoRR, June, 2025

Domain Generalization using Large Pretrained Models with Mixture-of-Adapters.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Depth-aware guidance with self-estimated depth representations of diffusion models.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Diffusion Model for Dense Matching.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters.

[BibT_eX]

[DOI]

CoRR, 2023

DiffMatch: Diffusion Model for Dense Matching.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Blockchain based Removable Storage Device Log Management System.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Advanced Communication Technology, 2020

Gyuseong Lee

Timeline

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Bibliography

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