AI 전반, 저널
EAAI 논문을 낸 국내 연구실
T2Engineering Applications of Artificial Intelligence. 2023년 이후 논문 45편, 연구실 36곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 석준희 연구실석준희 교수 | 고려대 | – | 14 | 5 | |
 윤상호 연구실윤상호 교수 | KAIST | 29 | 57 | 26 | |
 윤윤진 연구실윤윤진 교수 | KAIST | 1 | 13 | – | |
 이은석 연구실이은석 교수 | 성균관대 | 2 | 14 | – | |
 최종은 연구실최종은 교수 | 연세대 | 4 | 21 | – | |
 통계적 추론 및 정보 이론 연구실김준모 교수모집 안내 | KAIST | 42 | 65 | – | |
 Computer Graphics Lab조성현 교수 | POSTECH | 28 | 58 | 38 | |
 Computer Systems & Intelligence Lab김유성 교수 | 성균관대 | 4 | 14 | – | |
 HLILab박진영 교수 | 성균관대 | 7 | 17 | – | |
 Information Laboratory (InfoLab) @ SKKUTamer AbuHmed 교수모집 안내 | 성균관대 | 1 | 40 | 8 | |
 Korea Univ., AI and Mobility (AIM) Lab김중헌 교수모집 안내 | 고려대 | 9 | 156 | 58 | |
 LearnData laboratory박호건 교수모집 안내 | 성균관대 | 20 | 34 | – | |
 Learning and Mining from Multimodal DAtaset(LAMDA) Lab오하영 교수모집 안내 | 성균관대 | 6 | 30 | 29 | |
 LICS · Lab for Informatics, Communications, and Systems이상현 교수모집 안내 | 고려대 | 11 | 71 | – | |
 MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
 Multimedia AI Lab김종유 교수신생 랩 | 연세대 | 4 | 7 | 13 |
최근 논문
- A comprehensive review on quantum deep neural networks for prognostics and health management: Fundamentals, challenges and opportunities
2026, Korea Univ., AI and Mobility (AIM) Lab
- Adaptive spatial-temporal graph attention network for real-time traffic forecasting
2026, 정보 및 지능 시스템 연구실
- A framework for Gaming Disorder Detection based on social media data using Large Language Model labeling
2026, Learning and Mining from Multimodal DAtaset(LAMDA) Lab
- A kinematic-guided dual-branch framework for Parkinson's disease assessment in sit-to-stand tasks
2026, LearnData laboratory
- A practical multi-layered framework for post-quantum secure machine learning
2026, 무하마드칸 연구실
- Are we truly forgetting? A critical re-examination of machine unlearning evaluation protocols
2026, Universal Transfer Learning (UTL) Lab
- Bayesian policy distillation: Towards lightweight and fast neural policy networks
2026, Computational Control Engineering Lab (CoCEL), 데이터베이스 시스템 연구실 (Database Systems Lab)
- Efficient knowledge distillation with emphasized Radon features for wafer bin map classification
2026, Computational Control Engineering Lab (CoCEL)
- LeafVision: Self-supervised agricultural vision foundation models for plant disease classification
2026, 김태형 연구실
- Machine learning-aided network for process-property prediction of injection-molded polyamide-6 composite parts
2026, Interactive Multimodal Machine Learning lab. 인터랙티브 멀티모달 기계학습 연구실
- Radon averaging: A practical approach for designing rotation-invariant models
2026, Computational Control Engineering Lab (CoCEL)
- Shaping Q -values right: A distributional normalized actor-critic approach
2026, Computational Control Engineering Lab (CoCEL), 데이터베이스 시스템 연구실 (Database Systems Lab)
- Spectral coefficient learning via operator networks for inverse problems of parametric partial differential equations
2026, 홍영준 연구실
- Training-free label space alignment for universal domain adaptation
2026, Universal Transfer Learning (UTL) Lab
- Trustworthy Alzheimer's diagnosis: Integrating robustness, fairness, and explainability in neuroimaging based deep ensemble framework
2026, Information Laboratory (InfoLab) @ SKKU
- Advanced code time complexity prediction approach using contrastive learning
2025, 계산이론
- Adversarial environment design for crowd navigation based on deep reinforcement learning
2025, 석준희 연구실
- Causally explainable artificial intelligence on deep learning model for energy demand prediction
2025, 소프트컴퓨팅
- Detecting code paraphrased by large language models using coding style features
2025, 계산이론
- Dialogue response coherency evaluation with feature sensitive negative sample using multi list-wise ranking loss
2025, HLILab