AI 전반, 저널
Information Sciences 논문을 낸 국내 연구실
T2Information Sciences. 2023년 이후 논문 32편, 연구실 28곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 Computer Vision Lab (CVLAB)김상필 교수모집 안내 | 고려대 | 32 | 50 | 24 | |
 데이터베이스 시스템 연구실 (Database Systems Lab)박종혁 교수신생 랩 | 고려대 | 3 | 15 | 6 | |
 Data Intelligence Lab. 데이터 인텔리전스 연구실이연창 교수신생 랩 | UNIST | 12 | 21 | 15 | |
 Data Mining and AI Lab파르만알리 교수 | 성균관대 | – | 58 | – | |
 DX 연구실(DataX Lab)정연돈 교수모집 안내 | 고려대 | 2 | 13 | 15 | |
 LearnData laboratory박호건 교수모집 안내 | 성균관대 | 20 | 34 | – | |
 SLP Lab.(Speech and Language Processing Lab)김찬우 교수 | 고려대 | 18 | 39 | 19 | |
 Statistical Decision Making Lab. 통계적 의사결정김지수 교수 | UNIST | 4 | 8 | 2 |
최근 논문
- KPM: a novel approach for top-K flexible periodic pattern analysis in time-series data
2027, 하이퍼미디어 연구실
- LMMSE: A clinically inspired framework for cognitive evaluation of large language models
2027, SLP Lab.(Speech and Language Processing Lab)
- Federated domain generalization with source knowledge preservation via discriminative ensembles
2026, 정보 및 지능 시스템 연구실
- Improved query specialization for transformer-based visual relationship detection
2026, 기계학습 및 비전 연구실
- Mosaic: Differentially private representation of density-based clustering results
2026, DX 연구실(DataX Lab)
- Optimal activation function subset selection via forward and backward search for enhanced model performance
2026, 석준희 연구실
- Subgraph-level universal prompt tuning
2026, 데이터마이닝 및 인포메이션시스템 연구실
- A deep contrastive multi-modal encoder for multi-omics data integration and analysis
2025, Data Mining and AI Lab
- Diffusion-Stego: Training-free diffusion generative steganography via message projection
2025, 인공지능 연구실
- Fake news detection with external entity expanding and multi-modal dynamic fusion
2025, 컴퓨터그래픽스
- Knowledge-constrained interest-aware multi-behavior recommendation with behavior pattern identification
2025, 인터넷컴퓨팅
- Overcoming intermittent instability in reinforcement learning via gradient norm preservation
2025, Computational Control Engineering Lab (CoCEL), 데이터베이스 시스템 연구실 (Database Systems Lab)
- CIRF: Importance of related features for plausible counterfactual explanations
2024, 패턴인식 및 머신러닝 연구실
- Edge conditional node update graph neural network for multivariate time series anomaly detection
2024, 패턴인식 및 머신러닝 연구실
- Experimental analysis and evaluation of cohesive subgraph discovery
2024, Data Mining Lab. 데이터마이닝 연구실
- Harnessing membership function dynamics for stability analysis of T-S fuzzy systems
2024, 강화학습연구실
- Interval threshold-based finite-frequency sensor attack detection for interconnected cyber-physical systems
2024, 안춘기 연구실
- L1-gain control for 2D delayed positive continuous Markov jumping systems
2024, 안춘기 연구실
- Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion
2024, 빅데이터사이언스 연구실, Data Intelligence Lab. 데이터 인텔리전스 연구실
- Self-supervised Multimodal Graph Convolutional Network for collaborative filtering
2024, LearnData laboratory, Computer Vision Lab (CVLAB), 데이터지능 및 학습 연구실