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) for more information with your curriculum vitae and 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
EMNLP2026 × 4 · TACL · JMS
2 Main Conference papers · 2 Findings papers · 1 TACL · 1 JMS
August 2026
About ANDlab
ANDlab advances artificial intelligence through the development of intelligent AI systems. We believe that meaningful advances in AI emerge from rigorous scientific inquiry, a deep understanding of data and knowledge, and the integration of diverse AI methodologies.
Our research spans key areas of modern AI, from data intelligence, natural language processing, and information retrieval to trustworthy and frontier AI systems. We develop methods for learning from and reasoning over diverse forms of information, including language, graphs, time series, and multimodal data, with an emphasis on building intelligent systems that can retrieve and integrate knowledge, reason reliably, and support effective decision-making.
Building on these foundations, we explore the next generation of AI—including agentic, multimodal, and physical AI—while addressing challenging problems across healthcare, business, science, and society. Through this integrated approach, ANDlab aims to advance both the foundations and applications of AI and create lasting academic and societal impact.
We welcome researchers who share a deep curiosity and passion for artificial intelligence, natural language processing, data intelligence, and the future of intelligent systems. If you are excited to explore challenging research problems and create meaningful academic and societal impact through data and AI, we look forward to learning, growing, and advancing AI together at ANDlab.
ANDlab은 지능형 AI 시스템 개발을 통해 인공지능을 발전시키는 연구실입니다. 우리는 의미 있는 AI의 발전이 엄밀한 과학적 탐구, 데이터와 지식에 대한 깊은 이해, 그리고 다양한 AI 방법론의 유기적 결합에서 비롯된다고 믿습니다.
우리의 연구는 데이터 인텔리전스, 자연어 처리, 정보 검색에서부터 신뢰 가능한 AI와 프론티어 AI 시스템에 이르기까지 현대 AI의 핵심 영역을 아우릅니다. 언어, 그래프, 시계열, 멀티모달 데이터 등 다양한 형태의 정보로부터 학습하고 추론하는 방법을 연구하며, 지식을 검색하고 통합하고, 신뢰성 있게 추론하며, 효과적인 의사결정을 지원할 수 있는 지능형 시스템을 개발합니다.
이러한 연구 기반 위에서 에이전틱 AI, 멀티모달 AI, 피지컬 AI를 포함한 차세대 AI를 탐구하는 동시에 헬스케어, 비즈니스, 과학, 사회의 중요한 문제를 다룹니다. 이러한 통합적 접근을 통해 ANDlab은 AI의 기반과 응용을 함께 발전시키고 지속적인 학문적·사회적 임팩트를 창출하는 것을 목표로 합니다.
인공지능, 자연어 처리, 데이터 인텔리전스, 그리고 미래의 지능형 시스템에 깊은 관심과 열정을 가진 연구자 여러분을 환영합니다. 도전적인 연구 문제를 탐구하고, 데이터와 AI를 통해 학문과 사회에 의미 있는 기여를 하고자 하는 분들과 ANDlab에서 함께 배우고 성장하며 AI의 미래를 만들어가기를 기대합니다.
Research Interests (See More)
Big Data Analytics & Data Intelligence
Natural Language Processing & Large Language Models
Information Retrieval & Knowledge-Augmented AI
Trustworthy AI & Evaluation
Frontier AI Systems (Agentic, Multimodal & Physical AI)
Recent Activities and News
[Academic Service] (2026/08) Prof. Beakcheol Jang served as an Area Chair for the Industry Track at EMNLP 2026.
[Publication] (2026/08) The paper, 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) 3 students (조철영 박사/최우수논문상, 최종현 석사/최우수상, 지다은 석사) graduated.
[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 Survey 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 paper, 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 JCNA.
[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 Elsevier 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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