at Yonsei University

Ph.D Students

Gun Il Kim 김건일 (PhD student)

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

Email: kim_gunil_94@yonsei.ac.kr

Publications & Awards:

PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queries, Gun Il Kim, Jungkyu Shin, Jong Wook Kim and Beakcheol Jang, ACL Findings, 2026.
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.
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, EMNLP Findings, 2025.
Efficient Compressing and Tuning Methods for Large Language Models: A Systematic Literature Review, Gun Il Kim, Sunga Hwang, Beakcheol Jang, ACM CSUR, 2025 (IF: 28.0).
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.
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.
Classification of mathematical test questions using machine learning on datasets of learning management system questions, Gun Il Kim, Sungtae Kim and Beakcehol Jang, PLOS ONE, 2023.
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.
Petroleum price prediction with CNN-LSTM and CNN-GRU using Skip-Connection, Gun Il Kim and Beakcheol Jang, Mathematics, 2023.
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, JBI, 2022. (IF: 8.0)

Min Kyoung Kim 김민경 (PhD student)

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

Email: minky@yonsei.ac.kr

Publications & Awards:

CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim and Beakcheol Jang, ACL Findings, 2026.
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.
Forecasting epidemic spread with recurrent graph gate fusion transformers, Minkyoung Kim, Jae Heon Kim, and Beakcheol Jang, IEEE JBHI, 2025. (IF: 6.7)
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.
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 (PhD student)

Research Area: Big Data Analytics, Deep Learning

Email: utopiamath@yonsei.ac.kr

Publications & Awards:

CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim and Beakcheol Jang, ACL Findings, 2026.
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.
Efficient prompt engineering for Corrective RAG specialized for benchmarking Massive Multitask Language Understanding dataset, Yo Han Lee and Beakcheol Jang, IEIE, 2025.
Classification of Fashion E-commerce Products using ResNet-BERT Multi-modal Deep Learning and Transfer Learning Optimization, In Jae Seo*, Yo Han Lee* and Beakcheol Jang, PLOS ONE, 2025.
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

Jung Hwa Lee 이정화 (PhD student since September 2021)

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

Works at AI Lab of SK Telecom

Email: jhwa.lee@yonsei.ac.kr

Publications & Awards:

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

Jin Seok Yang 양진석 (PhD student since March 2021)

Research Area: Natural Language Processing, Information Retrieval, Alternative Data Analytics

Works at Fount Investment

Email: finengineer@yonsei.ac.kr

Publications & Awards:

Climate policy uncertainty and its impact on real estate market dynamics: A sectoral and regional analysis, Chulyoung Cho*, Jinseok Yang* and Beakcheol Jang, PLOS ONE, 2024.
Heterogeneous macroeconomic factors' effects on stocks across sizes, styles, and sectors in the South Korean market, Chulyoung Cho*, Jinseok Yang* and Beakcheol Jang, PLOS ONE, 2024.

Chang Soo Kim 김창수 (PhD student)

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

Works at CCmedia Service Co.,Ltd

Email: moon0529@yonsei.ac.kr

Publications & Awards:

Woo Sung Jang 장우성 (PhD student)

Research Area: AI for Healthcare and Life Sciences

Works at CDO - AI BigData of LG Electronics

Email: jws19940212@gmail.com

Publications & Awards:

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

Chang Reung Park 박창릉 (PhD student)

Research Area: NLP, Big Data Platform

Works at KIST

Email: crpark325@gmail.com

Publications & Awards:

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 (PhD student)

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

Works at Korea Mouse Phenotyping Center

Email: whachozang@yonsei.ac.kr

Publications & Awards:

Jin Hee Park 박진희 (PhD student since March 2023)

Research Area: Big Data, Deep Learning, Generative AI

Works at AI Video Analysis Research Team of XIILAB

Email: jpark0331@yonsei.ac.kr

Publications & Awards:

Ji Hong Kang 강지홍 (PhD student)

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

Works at NICE Information Service Co.,Ltd.

Email: kangjh905@naver.com

Publications & Awards:

Jae Won Ahn 안제원 (PhD student)

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

Works at CDO - AI Big Data of LG Electronics

Email: ahnjawon@naver.com

Publications & Awards:

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