Artificial Intelligence
Natural Language Processing &
Data Analytics Laboratory (ANDlab)
Building Intelligent AI Systems that Retrieve, Reason, and Learn
Graduate School of Information,
Yonsei University, Seoul, Republic of Korea
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NOTICE: ANDlab at Yonsei University is now recruiting highly self-motivated graduate students and post-doctoral research fellows. Please contact Professor Beakcheol Jang (bjang@yonsei.ac.kr) with your CV and academic transcript.
연세대학교 ANDlab 연구실에서는 대학원생과 박사후 연구원을 모집하고 있습니다. 연구실 지원을 원하는 학생들은 장백철 교수님께 (bjang@yonsei.ac.kr) 성적표 이력서와 함께 연락주세요.
Publication Milestone
EMNLP 2026 × 4 · TACL · JMS
2 Main Conference papers · 2 Findings papers · 1 TACL · 1 JMS
August 2026
About ANDlab
ANDlab develops intelligent AI systems that retrieve knowledge, reason reliably, and support effective decision-making. Our research spans natural language processing and large language models, information retrieval and knowledge-augmented AI, trustworthy AI and evaluation, frontier AI systems, big data analytics and data intelligence, and AI-powered decision support systems.
We develop methods for learning from language, time series, graphs, and multimodal data, while exploring agentic, multimodal, and physical AI. By connecting these advances with business AI and big data analytics, we address real-world challenges across business, healthcare, science, and the public sector—from forecasting and knowledge discovery to decision support and workflow automation.
We welcome researchers who are eager to advance AI foundations and translate research into practical impact. Join us in building AI systems that turn data and knowledge into understanding, decisions, and action.
ANDlab은 지식을 검색하고, 신뢰성 있게 추론하며, 효과적인 의사결정을 지원하는 지능형 AI 시스템을 연구합니다. 주요 연구 분야는 자연어 처리 및 대규모 언어모델, 정보 검색 및 지식 증강 AI, 신뢰 가능한 AI 및 평가, 프론티어 AI 시스템, 빅데이터 분석 및 데이터 인텔리전스, AI 기반 의사결정 지원 시스템입니다.
언어·시계열·그래프·멀티모달 데이터로부터 학습하는 방법을 개발하고, 에이전틱 AI·멀티모달 AI·피지컬 AI를 탐구합니다. 이러한 기술을 비즈니스 AI 및 빅데이터 분석과 연결하여, 기업·의료·과학·공공 분야의 예측, 지식 발견, 의사결정 지원, 업무 자동화 등 실제 문제를 해결하고자 합니다.
AI의 학문적 기반을 발전시키고 연구 성과를 실질적인 가치로 연결하고자 하는 연구자 여러분을 환영합니다. 데이터와 지식을 이해와 의사결정, 행동으로 연결하는 AI 시스템을 함께 만들어갑니다.
Research Interests (See More)
Natural Language Processing & Large Language Models
Information Retrieval & Knowledge-Augmented AI
Trustworthy AI & Evaluation
Frontier AI Systems (Agentic, Multimodal & Physical AI)
Big Data Analytics & Data Intelligence
AI-Powered Decision Support Systems
Recent Activities and News
[School Event] (2026/08) 정세연 graduated with a master’s degree and received the Outstanding Graduate Award.
[Academic Service] (2026/08) Prof. Beakcheol Jang served as an Area Chair for the Industry Track at EMNLP 2026.
[Publication] (2026/08) The pape entitled Multi-Axial Analysis of Clinical Reasoning in Large Language Models: Inter-Verifier Disagreement and Its Implications for Automated Evaluation, was published in JMS 2026.
[Publication] (2026/07) The paper entitled PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queries, was published in Findings of ACL 2026.
[Publication] (2026/07) The paper entitled CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, was published in Findings of ACL 2026.
[School Event] (2026/02) Three students graduated: 조철영 (Ph.D., Best Dissertation Award), 최종현 (M.S., Outstanding Graduate Award), and 지다은 (M.S.).
[Publication] (2026/01) The paper entitled “As Eastern Powers, I will veto.” : An Investigation of Nation-level Bias of Large Language Models in International Relations, was published in AAAI 2026. (관련기사)
[Publication] (2026/01) The paper Privacy-Preserving Trajectory Data Publication: A Distributed Approach without Trusted Servers, was published in JNCA 2026.
[Publication] (2025/11) The paper entitled UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting, was published in Findings of EMNLP 2025.
[Publication] (2025/11) The paper entitled A pivot-enhanced question answering framework: using iterative sub-question decomposition and answer-to-question verification, was published in ACM CIKM 2025.
[Publication] (2025/11) The paper, entitled Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusion, was published in ACM CIKM Workshop on MGSR 2025.
[School Event] (2025/08) 3 students (박상학, 박세연, 황성아) graduated.
[School Event] (2025/08) ANDlab joined 2025 바른ICT연구소 summer workshop and 한국경영학회 학술대회.
[Project] (2025/07) The project "R&D 중소기업 기술개발 지원사업" (주제: AI-LMM 기반 개인 맞춤형 치과 교정 진단·분류·치료 계획 생성 자동화를 위한 핵심기술 및 원천기술 개발) has started (~'26/12/31, 1년6개월).
[Publication] (2025/05) The paper entitled Efficient Compressing and Tuning Methods for Large Language Models: A Systematic Literature Review, was published in ACM Computing Surveys 2025.
[Publication] (2025/05) The paper entitled Visual Question Answering: A Survey of Methods, Datasets, Evaluation , was published in ACM Computing Surveys 2025.
[Member Event] (2025/03) Ji Hong Kang(강지홍) married.
[School Event] (2025/02) 6 students (권순찬, 김재헌, 이동희, 정희도, 윤지형, 강수정) graduated.
[Conference] (2025/02) The professor and 2 students (김민경, 이요한) attended ICAIIC 2025 conference and presented a research paper, entitled COVID-19 Policies and Payment Delays: Panel Data Insights from Korea's Food Industry.
[School Event] (2025/02) ANDlab joined 2024 바른ICT연구소 winter workshop.
[Publication] (2025/02) The pape entitled Forecasting Epidemic Spread with Recurrent Graph Gate Fusion Transformers, was published in IEEE JBHI.
[Award] (2024/12) 3 students (박세연, 황성아, 허수정) awarded the excellence prize on the contest (제 4회 지역 산업·사회 혁신 프로젝트 공모전).
[Award] (2024/11) 2 students (박세연, 황성아) awarded the top prize on the contest (2024 연구데이터 분석활용 경진대회).
[Award] (2024/11) 3 students (권순찬, 박세연, 황성아) awarded the top prize on the contest (제4회 소방안전 빅데이터 활용 및 아이디어 경진대회 (분석활용 부문)).
[Publication] (2024/10) The paper, entitled Privacy-Preserving Generation and Publication of Synthetic Trajectory Microdata: A Comprehensive Survey, was published in Elsevier JNCA.
[Project] (2024/09) The project "R&D 중소기업 기술개발 지원사업" (주제: 개인별 치과 관리 서비스 제공을 위한 반응형 웹사이트용 3D 구강 디지털 트윈 모델링과 AI 포트폴리오 제작 원천기술 개발) has started (~'25/8/31, 1년).
[School Event] (2024/08) Byeong Soo Kim (김병수) graduated.
[Award] (2024/07) 3 students (권순찬, 이동희, 최종현) awarded the top prize on the contest (AI 시대 산업사화문제 해결을 위한 리빙랩 프로젝트 공모전).
[Award] (2024/06) 2 students (박상학, 최종현) awarded the top prize on the contest (2024년 해운대구 빅데이터 아이디어 공모전).
[Project] (2024/06) The project "생성 AI 선도인재양성 사업" (주제: LLM 기반 응용 서비스 기술 개발을 통한 생성 AI 인재 양성) has started (~ '27/12/31, 3년 7개월).
[School Event] (2024/02) 2 students (남원경, 박희정) graduated.
[Conference] (2024/02) 2 students (김건일, 김병수) attended ICAIIC 2024 conference and presented two research papers, entitled An Approach on Improving the Recommender System: Predicting Movie Genres Based on Plot Summaries and FTT: Fourier Transform based Transformer for Brain CT Report Generation.
[Publication] (2024/01) The paper entitled A survey on multimodal bidirectional machine learning translation of image and natural language processing, was published ESWA 2024.
[Award] (2023/11) Hui Do Jung(정희도) awarded the top prize on the contest (2023년 감염병 대응 빅데이터 활용 아이디어 공모전).
[Project] (2023/09) The project "중견연구 신규과제" (주제: 감염병 특화 확산 예측 모델과 생성 AI 모델 개발을 통한 감염병 통합 정보 제공 플랫폼 구축 및 운영) has started (~'28/2/28, 4년 6개월).
[Publication] (2023/05) The paper entitled Long-term influenza outbreak forecast using time-precedence correlation of web data, was published in IEEE TNNLS.
[Publication] (2023/01) The paper entitled Survey of landmark-based indoor positioning technologies, was published in Information Fusion.
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