Hajung Kim

Orcid: 0000-0003-3209-3494

According to our database1, Hajung Kim authored at least 16 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism.
CoRR, January, 2026

2025
Correction: Retrosynthetic crosstalk between single-step reaction and multi-step planning.
J. Cheminformatics, December, 2025

Retrosynthetic crosstalk between single-step reaction and multi-step planning.
J. Cheminformatics, December, 2025

GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes.
CoRR, November, 2025

HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation.
CoRR, August, 2025

KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports.
CoRR, January, 2025

Automatic genetic phenotype normalization from dysmorphology physical examinations: an overview of the BioCreative VIII - Task 3 competition.
Database J. Biol. Databases Curation, 2025

Prompting Matters: Snippet-Aware Strategies for Biomedical QA with LLMs in BioASQ 13b.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2024
LLM Based Biological Named Entity Recognition from Scientific Literature.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
<i>KitchenScale</i>: Learning to predict ingredient quantities from recipe contexts.
Expert Syst. Appl., August, 2023

Perceiver CPI: a nested cross-attention network for compound-protein interaction prediction.
Bioinform., January, 2023

KitchenScale: Learning to predict ingredient quantities from recipe contexts.
CoRR, 2023

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer.
CoRR, 2022

<i>RecipeMind: </i> Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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