데이터 마이닝·검색, 학회
CIKM 논문을 낸 국내 연구실
T2Information and Knowledge Management. 2023년 이후 논문 116편, 연구실 65곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
Learning and Mining from Multimodal DAtaset(LAMDA) Lab오하영 교수모집 안내 | 성균관대 | 6 | 30 | 29 | |
Machine Learning Lab김동우 교수 | POSTECH | 54 | 66 | 33 | |
MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
Visual Information Processing Lab이준석 교수모집 안내 | 서울대 | 26 | 40 | 58 | |
Wen-Syan Li 연구실Wen-Syan Li 교수 | 서울대 | 1 | 12 | 10 |
최근 논문
- Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy
2023, 문일철 연구실
- Logarithmic Dimension Reduction for Quantum Neural Networks
2023, Korea Univ., AI and Mobility (AIM) Lab
- MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
2023, 빅데이터 분석 및 학습 연구실
- Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
2023, Learning and Adaptation Algorithms Lab
- MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement
2023, 박찬영 연구실
- MvFS: Multi-view Feature Selection for Recommender System
2023, 데이터과학 및 응용 연구실 (Intelligent Data Science and Applications Lab)
- Quantum Split Learning for Privacy-Preserving Information Management
2023, Korea Univ., AI and Mobility (AIM) Lab
- Representation Learning in Continuous-Time Dynamic Signed Networks
2023, Data Intelligence Lab. 데이터 인텔리전스 연구실
- Robust Graph Clustering via Meta Weighting for Noisy Graphs
2023, 신기정 연구실
- SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection
2023, Data Science and Artificial Intelligence Lab
- SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
2023, 빅데이터사이언스 연구실, 어플리케이션 대상 시스템 최적화
- S-Mixup: Structural Mixup for Graph Neural Networks
2023, 박찬영 연구실
- ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
2023, 주재걸 연구실
- Test-Time Embedding Normalization for Popularity Bias Mitigation
2023, Machine Learning Lab
- Toward a Better Understanding of Loss Functions for Collaborative Filtering
2023, LearnData laboratory, 데이터지능 및 학습 연구실
- You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark
2023, 신기정 연구실












