Natural Language Processing
Conversational recommendation, sentiment analysis, dependency parsing, document clustering, and instruction alignment for language models.
Associate Professor · Department of Artificial Intelligence
윤여찬 · Jeju National University, Republic of Korea
My research advances Natural Language Processing and Large Language Models, with a focus on conversational recommendation, aspect-based sentiment analysis, and instruction alignment. I publish my research in top-tier journals and conferences. Recent research explores review-informed sequential recommendation and the safety and reliability of tool-calling and self-evolving LLM agents.
Conversational recommendation, sentiment analysis, dependency parsing, document clustering, and instruction alignment for language models.
Retrieval-augmented generation, collaborative embedding-infused LLMs, and robust, role-aware transformer architectures.
★ First / corresponding author 1 Equal contribution (co-first authors); * Corresponding author
★ FEMMER: Fractal Emotion Manifolds for Multi-Modal Emotion Recognition
Expert Systems with Applications (2026, Accepted)
★ Sensory-Aware Sequential Recommendation via Review-Distilled Representations
Knowledge-Based Systems, vol. 352, Part C, article 117071 (2026). doi:10.1016/j.knosys.2026.117071
★ A Unified Ambiguity Signal for Calibrated Multimodal Emotion Recognition
AACL-IJCNLP 2026 Main
★ POLAR: Ontology-Guided Risk Prevention for Tool-Calling LLM Agents
AACL-IJCNLP 2026 Findings
★ EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents
EMNLP 2026 Main
★ A Study on Constructing a CoT-Based Korean Tourism Domain Dataset for Small Language Models
The Journal of Korean Association of Computer Education, vol. 29, no. 7, pp. 45–52 (2026)
Noise-Aware Multi-inference Self-regulation for Self-supervised Denoising
Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, Singapore (2026)
A Review on the Recent Trends for Deep Learning Based 3D Face Reconstruction Techniques
KSII Transactions on Internet & Information Systems, 20(6), 2931 (2026)
Immersive intelligence: ST-GNN guided and RL-optimized multimodal intent-driven Kubernetes Orchestration for 6G resource management
Journal of Network and Computer Applications, 104440 (2026)
★ CEILLM: Confidence-Aware Dynamic Fusion of Collaborative Embedding-Infused Large Language Models for Conversational Recommendation
ACM Transactions on Information Systems 44.6 (2026): 1-41.
★ Sentiment Hypergraphs with Hierarchical Reasoning: A Novel Framework for Advanced Aspect-Based Sentiment Analysis
IEEE Transactions on Affective Computing, vol. 17, no. 03, pp. 3461-3478, July-Sept. 2026, doi: 10.1109/TAFFC.2026.3696661. (2026).
★ Adaptive Orthogonal Role-Aware Transformer for Robust Instruction Alignment
ETRI Journal, vol. 48, no. 5, pp. 924–935 (2026). doi:10.4218/etrij.2025-0449
★ Multi-Relational Dual Attention Graph Transformer for Fine-Grained Sentiment Analysis
Scientific Reports 16, 7236 (2026)
★ MASKSER: A Robust Emotion Recognition Model Based on Voice Data and Noisy Transcripts
IEEE Transactions on Audio, Speech and Language Processing, 32, 4154–4167 (2025)
★Trends and Prospects of Retrieval-Augmented Generation (RAG) for Generative AI
Journal of the Korean Association of Computer Education, 28(2), 69–80 (2025)
★Performance Comparison of Concentration Prediction Models by Dataset Frame Length
Journal of the Korean Association of Computer Education, 27(1), 215–226 (2024)
Improved Open World Object Detection Using Class-Wise Feature Space Learning
IEEE Access, 11, 131221–131236 (2023)
Enhancing Facial Reconstruction Using Graph Attention Networks
IEEE Access, 11, 136680–136691 (2023)
★Gated Multi-Channel Network Embedding for Large-Scale Mobile App Clustering
KSII Transactions on Internet & Information Systems, 17(6) (2023)
3D Face Reconstruction from a Single Image Using a Combined PCA-LPP Method
Computers, Materials & Continua, 74(3) (2023)
★Remote Heart Rate Estimation Using Attention-Targeted Self-Supervised Learning Methods
International Journal on Advanced Science, Engineering & Information Technology, 13(3) (2023)
★ Attention-Based Heart Rate Estimation Using MobileNet V3
Journal of the Korea Society of Computer and Information, 28(12), 1–7 (2023)
CNN Architecture Optimization for Improved Accuracy of Artwork Artist Classification
Journal of the Korea Society of Computer and Information, 28(9), 9–15 (2023)
★ Can We Exploit All Datasets? Multimodal Emotion Recognition Using Cross-Modal Translation
IEEE Access, 10, 64516–64524 (2022)
★Automatic Facial Expression Recognition via Self-Supervised Learning of Facial Image Sequence Prediction
Journal of the Korea Society of Computer and Information, 27(9), 41–47 (2022)
Multi-View Attention Network for Visual Dialog
Applied Sciences, 11(7), 3009 (2021)
★ Image Classification and Captioning Model Considering a CAM-Based Disagreement Loss
ETRI Journal, 42(1), 67–77 (2020)
★ Network-Based Document Clustering Using External Ranking Loss for Network Embedding
IEEE Access, 7, 155412–155423 (2019)
Deep Learning-Based End-to-End Dependency Parsing without POS Tagging
International Research Publication House (2019)
★ Fine-Grained Mobile Application Clustering Model Using Retrofitted Document Embedding
ETRI Journal, 39(4), 443–454 (2017)
4 ongoing · 4 completed As of September 2026
Showing all 8 projects.
AI스타펠로우십지원(제주대학교, 학제연계형)
Develop generative AI technologies that standardize AnyType data into a common format and enable foundation models to be decomposed into modular AI units, assembled, validated, and recombined.
제주 축산·관광 AX 고도화 연구
Apply generative AI to address key challenges in Jeju’s tourism and agriculture sectors.
기억에서 기록으로: 재일동포 민족교육 자료 수집 및 DB 구축
Collect materials on Korean ethnic education in Japan and build a database.
Purpose summarized from the project title.
데이터 증강 기반의 멀티모달(생체신호, 이미지, 텍스트, 오디오) 감성인식 및 심리 모니터링 기술 연구
Develop multimodal AI for emotion recognition and psychological monitoring by integrating text and audio analysis with physiological signals and images, supported by data augmentation.
Purpose summarized from the project title.
관광객의 지역상권정보 제공을 위한 소규모 언어모델(sLLM) 개발
Develop NLP technologies based on small language models (sLLMs) to provide tourists with natural-language access to information about local businesses and commercial areas.
Purpose summarized from the project title.
DeepToon: 웹툰 자동 생성 기술 개발
Develop deep learning and AI image-generation technologies to automate webtoon production from creators’ scenarios and sketches, including line refinement, coloring, and background generation.
실감형 문화유산 체험을 위한 애셋 기반 지능형 큐레이션 및 서비스 운영 기술 개발
Develop AI-based analysis, visual search, and relationship modeling for cultural heritage assets spanning text, images, video, and 3D data, supporting intelligent curation and immersive exhibitions.
환경에 반응하는 VR·AR 가상 휴먼객체 생성 기술 개발
Develop deep learning-based facial expression recognition for responsive virtual humans, combined with expression and motion synchronization to enable natural, low-latency interaction in shared VR/AR environments.
Korea University, South Korea
Korea University, South Korea
Korea University, South Korea
Dept. of Artificial Intelligence, Jeju National University
Dept. of Artificial Intelligence, Jeju National University
Electronics and Telecommunications Research Institute (ETRI)
Interested in collaboration, or in joining the lab? I'd be glad to hear from you.