Gun Il Kim 김건일 (Ph.D. student) 

Research Area: NLP, Efficient AI, Multi-modal AI

Email: kim_gunil_94@yonsei.ac.kr

Publications & Awards:

1. PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queries, Gun Il Kim, Jungkyu Shin, Jong Wook Kim and Beakcheol Jang, Findings of ACL 2026.

2. Enhancing 3D Tooth Segmentation Using Curvature-FPS Point Cloud Downsampling, Sunga Hwang, Gun Il Kim, Jungkyu Shin, Yo Han Lee, Yong Woon Shin, Wooae Ki and Beakcheol Jang, IEEE Access 2025.

3. UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting, Gun Il Kim, Jongwook Kim and Beakcheol Jang,  Findings of EMNLP 2025.

4. Efficient Compressing and Tuning Methods for Large Language Models: A Systematic Literature Review, Gun Il Kim, Sunga Hwang and Beakcheol Jang, ACM CSUR 2025.

5. COVID-19 Policies and Payment Delays: Panel Data Insights from Korea's Food Industry, Minkyoung Kim, Gun Il Kim, Yo Han Lee  and Beakcheol Jang, ICAIIC 2025.

6. An Approach on Improving the Recommender System: Predicting Movie Genres Based on Plot Summaries, Gun Il Kim, Jae Heon Kim, Minkyoung Kim, Taekyoung Kwon and Beakcheol Jang, ICAIIC 2024. 

7. Classification of mathematical test questions using machine learning on datasets of learning management system questions, Gun Il Kim, Sungtae Kim and Beakcheol Jang, PLOS ONE 2023.

8. HSGA: A Hybrid LSTM-CNN Self-Guided Attention to predict the future diagnosis from discharge narratives, Gaspard Harerimana, Gun Il Kim, Jong Wook Kim and Beakcheol Jang, IEEE Access 2023.

9. Petroleum price prediction with CNN-LSTM and CNN-GRU using Skip-Connection, Gun Il Kim and Beakcheol Jang, Mathematics 2023.

10. Deep similarity analysis and forecasting of actual outbreak of major infectious diseases using Internet-sourced data, Beakcheol Jang, Yeongha Kim, Gun Il Kim and Jong Wook Kim, Elsevier JBI 2022.

Min Kyoung Kim 김민경 (Integrated M.S.–Ph.D. Program)

Research Area: Deep Learning, Data Mining, Graph Neural Networks

Email: minky@yonsei.ac.kr

Publications & Awards:

1. Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs, Daeun Ji, Minkyoung Kim, Dongkuk Kim, Yohan Lee, Beomsoo Kim and Beakcheol Jang, Findings of EMNLP 2026.

2. CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim and Beakcheol Jang, Findings of ACL 2026.

3. Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea, In Jae Seo*, Minkyoung Kim*  and Beakcheol Jang, PLOS ONE 2025.

4. Forecasting epidemic spread with recurrent graph gate fusion transformers, Minkyoung Kim, Jae Heon Kim and Beakcheol Jang, IEEE JBHI 2025.

5. COVID-19 Policies and Payment Delays: Panel Data Insights from Korea's Food Industry, Minkyoung Kim, Gun Il Kim, Yo Han Lee  and Beakcheol Jang, ICAIIC 2025.

6. An approach on improving the recommender system: Predicting movie genres based on plot summaries, Gun Il Kim, Jae Heon Kim, Minkyoung Kim, Taekyoung Kwon and Beakcheol Jang, ICAIIC 2024. 

Yo Han Lee 이요한 (Ph.D. student) 

Research Area: Big Data Analytics, Deep Learning

Email: utopiamath@yonsei.ac.kr

Publications & Awards:

1. Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs, Daeun Ji, Minkyoung Kim, Dongkuk Kim, Yohan Lee, Beomsoo Kim and Beakcheol Jang, Findings of EMNLP 2026.

2. A Study on Orthodontic Treatment Plan Recommendation Using Large Language Models, Yohan Lee and Beakcheol Jang, IEIE 2026.

3. CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim and Beakcheol Jang, Findings of ACL 2026.

4. Enhancing 3D Tooth Segmentation Using Curvature-FPS Point Cloud Downsampling, Sunga Hwang, Gun Il Kim, Jungkyu Shin, Yohan Lee, Yong Woon Shin, Wooae Ki and Beakcheol Jang, IEEE Access 2025.

5. Efficient prompt engineering for Corrective RAG specialized for benchmarking Massive Multitask Language Understanding dataset, Yohan Lee and Beakcheol Jang, IEIE 2025.

6. Classification of Fashion E-commerce Products using ResNet-BERT Multi-modal Deep Learning and Transfer Learning Optimization, In Jae Seo*, Yohan Lee*  and Beakcheol Jang, PLOS ONE 2025.

7. COVID-19 Policies and Payment Delays: Panel Data Insights from Korea's Food Industry, Minkyoung Kim, Gun Il Kim, Yohan Lee  and Beakcheol Jang, ICAIIC 2025.

Soo Jin Yoon 윤수진 (Integrated M.S.–Ph.D. Program)

Research Area: Personalized AI, Information Retrieval, Recommender System

Email: soojiny@yonsei.ac.kr

Publications & Awards:

Eui Seo Nam 남의서 (Integrated M.S.–Ph.D. Program)

Research Area: AI Agents, Multimodal/VLM , Data-centric AI Systems

Email: eaudechance@yonsei.ac.kr

Publications & Awards:

Jung Hwa Lee 이정화 (Ph.D. student) 

Research Area: Deep Learning, Multi-modal AI, XAI

Affiliation: AI Lab of SK Telecom

Email: jhwa.lee@yonsei.ac.kr

Publications & Awards:

1. Autoregressive Decoder with Extracted Gap Sessions for Sequential/Session-based Recommendation, Jaewon Chung, Jung Hwa Lee  and Beakcheol Jang, IEEE Access 2023.

2. Hang Out with the Language Assistant, Jin-hwan Oh, Sudhakar Sah, Jihoon Kim, Yoori Kim, Jeonghwa Lee, Wooseung Lee, Myeongsoo Shin, Jaeyon Hwang and Seongwon Kim, ACM ICMI 2019.

Chang Soo Kim 김창수 (Ph.D. student) 

Research Area: Big Data, Deep Learning, Artificial Intelligence, Recommendation System

Affiliation: CCmedia Service Co.,Ltd

Email: moon0529@yonsei.ac.kr

Woo Sung Jang 장우성 (Ph.D. student) 

Research Area: AI for Healthcare and Life Sciences

Affiliation: CDO - AI BigData of LG Electronics

Email: jws19940212@gmail.com

Publications & Awards:

1. Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusion, Jae Won Ahn*, Woo Sung Jang* and Beakcheol Jang, ACM CIKM International Workshop on Multimodal Generative Search and Recommendation 2025.

Chang Reung Park 박창릉 (Ph.D. student) 

Research Area: NLP, Big Data Platform

Affiliation: KIST

Email: crpark325@gmail.com

Publications & Awards:

1. COVID-19 outbreak prediction using Seq2Seq+Attention and Word2Vec Keyword time series data, Yeongha Kim, Chang-Reung Park, Jae-Pyoung and Beakcheol Jang, PLOS ONE 2023.

Yeon Kyung Kang 강연경 (Ph.D. student) 

Research Area: Biomedical Text Mining, Deep Learning, Computational Biology

Affiliation: Korea Mouse Phenotyping Center

Email: whachozang@yonsei.ac.kr

Jin Hee Park 박진희 (Ph.D. student) 

Research Area: Big Data, Deep Learning, Generative AI

Affiliation: AI Video Analysis Research Team of XIILAB

Email: jpark0331@yonsei.ac.kr

Ji Hong Kang 강지홍 (Ph.D. student) 

Research Area: Big Data Analytics, Credit Scoring Models, Algorithmic Fairness & Interpretability, Alternative Data & Credit Assessment. 

Affiliation: NICE Information Service Co.,Ltd.

Email: kangjh905@naver.com

Jae Won Ahn 안제원 (Ph.D. student) 

Research Area: NLP, Multi-Modal AI, AI for Healthcare

Affiliation: CDO - AI Big Data of LG Electronics 

     Email: ahnjawon@naver.com

Publications & Awards:

1. Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusion, Jae Won Ahn*, Woo Sung Jang* and Beakcheol Jang, ACM CIKM International Workshop on Multimodal Generative Search and Recommendation 2025.

Sung Moon Ahn 안성문 (Ph.D. student) 

Research Area: NLP, LLM, Knowledge Graphs

Affiliation: Big Data Center of NH Investment & Securities 

Email: sungmoon@nhqv.com 

Jaeik Lee 이재익 (Ph.D. student) 

Research Area: Causal Inference, Time-series Forecasting

Affiliation: ABI KOREA  (OB Beer)

Email: jake.lee@yonsei.ac.kr

Kyounwoo Kim 김견우 (Ph.D. student) 

Research Area: Deep Learning, Block Chain

Affiliation: CCmeda Service

Email: k2wackie@yonsei.ac.kr

Jong Kil Hong 홍종길 (Ph.D. student) 

Research Area: Big Data Analytics, Deep Learning, Domain shift

Affiliation: LG Energy Solution

Email: spyshong@naver.com

Sung Jin Jang 장성진 (Ph.D. student) 

Research Area: LLM and SLM  for Clinical decision support system, NLP, RAG

Affiliation: The Catholic Education Foundation

Email: sungjin@yonsei.ac.kr

Hae In Kim 김해인 (Ph.D. student) 

Research Area: Big Data Analytics, Deep Learning, Generative AI

Affiliation: Mirae Asset Securities 

Email: cordie@yonsei.ac.kr

Hyun Jung Byun 변현정 (Ph.D. student) 

Research Area: Big data, Natural Language Processing, Deep Learning

Affiliation: Health Insurance Review & Assessment Service

Email: hjbyun25@yonsei.ac.kr

Publications & Awards:

1. Multi-Axial Analysis of Clinical Reasoning in Large Language Models: Inter-Verifier Disagreement and Its Implications for Automated Evaluation, Hyunjung Byun, Dahyoun Lee, Munyoung Jung and Beakcheol Jang, JMS 2026.

Su Mee Moon 문수미 (Ph.D. student) 

Research Area: Medical AI, Time Series Analysis

Affiliation: National Cancer Center

Email: sumeedi@yonsei.ac.kr

Dong Ju Seo 서동주 (Ph.D. student) 

Research Area: Anomaly Detection, Multi-Agent AI Platform Development, Multimodal AI, Vision AI, Intelligent Control

Affiliation: Hyundai Rotem

Email: dongju_allright@yonsei.ac.kr

Publications & Awards:

1. When Retrieval Similarity Hurts: A Diagnostic Framework for Document Weighting in Black-Box RAG, Dongju Seo and Beakcheol Jang, Findings of EMNLP 2026.