Minbyul Jeong

Motivated individual with strong work ethic and working independently. Strong organizational and team collaboration skills with experience in improving processes.

Peer-Reviewed Conference/Journal Papers

• [C11] Minbyul Jeong, Jaewoo Kang, "Consistency enhancement of model prediction on document-level named entity recognition". In: Proceedings of Bioinformatics. 2023 (https://github.com/dmis-lab/ConNER)
• [C10] Mujeen Sung*, Minbyul Jeong*, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang, "BERN2 an advanced neural biomedical named entity recognition and normalization tool". In: Proceedings of Bioinformatics Appnote.2022 (https://github.com/dmis-lab/BERN2)
• [C9] Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, SeanS. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim, "Graph Transformer Networks Learning Meta-path Graphs to Improve GNNs". In: Proceedings of Neural Networks. 2022 (https://github.com/seongjunyun/Graph_Transformer_Networks)
• [C8] Wonjin Yoon, Jaehyo Yoo, Sumin Seo, Mujeen Sung, Minbyul Jeong, Gangwoo Kim, Jaewoo Kang, "Data-Centric and Model-Centric Approaches for Biomedical Question Answering". In: Proceedings of CLEF 2021. (https://github.com/dmis-lab/bioasq9b-dmis)
• [C7] Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding, "Pandemics are catalysts of scientific novelty: Evidence from COVID‐19". In: Proceedings of Europe PMC. 2021
• [C6] Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang, "Transferability of Natural Language Inference to Biomedical Question Answering". In: Proceedings of CLEF 2020. (https://github.com/dmis-lab/bioasq8b)
• [C5] Jinhyuk Lee, Sean S. Yi, '''Minbyul Jeong''', Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang, "Answering Questions on COVID-19 in Real-Time". In: Proceedings of 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020 (https://github.com/dmis-lab/covidAsk)
• [C4] Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justing F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding "Building a PubMed knowledge graph". In: Proceedings of Scientific Data. 2020. (https://www.nature.com/articles/s41597-020-0543-2)
• [C3] Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim, "Graph Transformer Networks", In: Proceedings of NeurIPS (long). 2019 (https://github.com/seongjunyun/Graph_Transformer_Networks)
• [C2] Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang, "Pre-trained Language Model for Biomedical Question Answering". In: Proceedings of ECML PKDD. 2019 (https://github.com/dmis-lab/bioasq-biobert)
• [C1] Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang, "BERN: A neural named entity recognition and multi-type normalization tool for biomedical text mining". In: Proceedings of IEEE access. 2019 (https://github.com/dmis-lab/bern)

• [P3] Minbyul Jeong, Jiwoong Sohn, Mujeen Sung, Jaewoo Kang, "Self-BioRAG: Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models". arXiv preprint. 2024 (https://github.com/dmis-lab/self-biorag)
• [P2] Minbyul Jeong, Jaewoo Kang, "Regularization for Long Named Entity Recognition". arXiv preprint. 2021. (https://github.com/minstar/PMI)
• [P1] Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang, "HATS: A Heirarchical Graph Attention Network for Stock Movement Prediction". arXiv preprint. 2019. (https://github.com/dmis-lab/hats)

• [A3]: 1st place at BioASQ9B: A challenge on large-scale biomedical semantic indexing and question answering (Phase B)
• [A2]: 1st place at BioASQ8B: A challenge on large-scale biomedical semantic indexing and question answering (Phase B)
• [A1]: 1st place at BioASQ7B: A challenge on large-scale biomedical semantic indexing and question answering (Phase B)