Kim Gun-Woo
Kim Gun-Woo
Gyeongsang National University · Computer Science and Engineering
Professor
Prof. 김건우
Professor's page · publicationsAbout
지능형데이터공학 및 응용연구실(IDEA Lab)을 이끌며 인공지능과 빅데이터를 전공한다. 대규모 데이터를 활용한 지능형 데이터 처리와 인공지능 응용 기술을 연구한다.
Research keywords
Recent papers
- MR-Rec: Mutual-representation-enhanced model for sequential recommendationExpert Systems with Applications · Aug 8
- A Study on RAG Retrieval Parameter Optimization using BM25+FAISS Hybrid Retrieval for Aerospace and Defense Technical Documents in a Closed Network EnvironmentThe Journal of Korean Institute of Information Technology · Jul 31
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- SwiftMOS: A Fast and Lightweight Moving Object Segmentation via Feature Flowing Direct View TransformationIEEE Robotics and Automation Letters · 2026
- ESCFM-YOLO: Lightweight Dual-Stream Architecture for Real-Time Small-Scale Fire Smoke Detection on Edge DevicesApplied Sciences · 2026
- LiDAR Dreamer: Efficient World Model for Autonomous Racing with Cartesian-Polar Encoding and Lightweight State-Space CellsInformation · 2025
- PSR: A Dual-Level Learning Framework for Patching Sequential Recommendation to Capture Local Preference TransitionsIEEE Access · 2025
- COMCARE: A Collaborative Ensemble Framework for Context-Aware Medical Named Entity Recognition and Relation ExtractionElectronics · 2025
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Recommender Systems and Techniques
Jinyoung Whang
KAIST · Graduate School of Data Science
Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge GraphsNewPreprintarXiv (Cornell University) · Oct 18Hwang Euijong Lab
KAIST · Electrical Engineering
Q-TIE: A Lightweight and Generalizable Re-ranking Framework for Temporal Information RetrievalPreprintarXiv (Cornell University) · Sep 20Ubiquitous AI Lab (UAILab)
Ulsan National Institute of Science and Technology (UNIST) · Computer Science and Engineering
Can Agents Work for Everyone? Cross-User Reliability for Mobile GUI Agents in Personalized User InterfacesPreprintarXiv (Cornell University) · Oct 6
Other labs in this department
- Seok-Jun BuuRecruiting
Artificial intelligence, deep learning
- Hyojin Chin
Human-AI interaction, natural language processing, computational social science
- Kang Chang Gu
Chang Gu Kang
Extended reality, 3D character animation
- Kim Min Ki
Min Ki Kim
Computer vision, image processing, biometric recognition
- Beomsu Kim
Wireless communications, 5G/6G, IoT
- Kim Bong Gi
Bong Gi Kim
Databases