KDD
데이터 마이닝 · 학회 · 논문 70편 · 연구실 21곳
연도별 논문
전체 · 논문 70편
202623편
- 강유SNU
A Masked Mixture Model for Compact and Accurate Matrix Factorization
Yong-chan Park, Jeongyoung Lee, SeungJoo Lee, U Kang
- 이동하Yonsei
CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
Huijeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, Seongku Kang, Dongha Lee, Susik Yoon
- 주재걸KAIST
Data-driven Plasma Equilibrium Forecasting in Magnetic Fusion Tokamak
Youngwoo Cho, Semin Joung, Jaemin Seo, Young-chul Ghim, Jaegul Choo
- 장준기SNU
DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse Tensor Factorization
Jun-Gi Jang, Jingrui He, Andrew J Margenot, Hanghang Tong
- 이창희KU
Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets
Minyoung Hwang, Seokhyun Lee, Changhee Lee
- 황의종KAIST
Fair Class-Incremental Learning using Sample Weighting
J. Park*, M. Kim*, and S. E. Whang
- 강유SNU
Fast and Accurate Online Coupled Matrix-Tensor Factorization via Frequency Regularization
Yong-chan Park, SeungJoo Lee, U Kang
- 황의종KAIST
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
M. Kim, S. Hwang, and S. E. Whang
- 황지영KAIST
Learn When and Where to Connect: Adaptive Virtual Nodes for Dynamic Message Passing on Graphs
J. Lee and J. J. Whang*
- 박찬영KAIST
Learning Probabilistic Compositional Representation of Crystalline Materials
Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Jimeng Sun, Tianfan Fu, Marinka Zitnik, Chanyoung Park
- 유재민SNU
Node4All: Learning Node Representation Beyond Datasets
Dooho Lee, Jaemin Yoo
- 박노성KAIST
One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets
Woosung Kang, Jiwon Jeong, Jonghyeok Shin, Jeongwhan Choi, and Noseong Park
- 박찬영KAIST
PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
Hyunsung Kim, Kunhee Lee, Sangwoo Seo, Sang-Ki Ko, Jinsung Yoon, Chanyoung Park
- 장준기SNU
ProgNet: Program-Grounded Evidence Composition for Interpretable Graph Classification
Minseok Jeon, Seunghyun Park, Jun-Gi Jang
- 박현우SNU
Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies
Youngseok Hwang, Sungho Bae, Dohun Lee, Jaeeun Seo, Jeehong Kim, Wonhee Lee, Hyunwoo Park
- 강유SNU
RiskBound: Risk-Aware Boundary-Guided Portfolio Optimization via Action Space Reshaping
Hosung Lee, U Kang
- 황의종KAIST
RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming
M. Kim, J. Park, C. Lee, G. Seo, S. E. Whang, and H. Lee
- 이동하Yonsei
SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
Sunghwan Kim, Wooseok Jeong, Serin Kim, Sangam Lee, Dongha Lee
- 이재진SNU
SEDD: Scalable and Efficient Dataset Deduplication with GPUs
Youngjun Son, Chaewon Kim, Jaejin Lee
- 최재식KAIST
Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
Soyeon Kim, Seongwoo Lim, Kyowoon Lee, Jaesik Choi
- 강유SNU
TiRano: Tensorized Relation-aware Temporal Reasoning for Accurate Knowledge Graph Completion
SeungJoo Lee, Yong-chan Park, U Kang
- 신기정KAIST
Toward a Science of AI Agent Societies
Geon Lee, Fanchen Bu, Soo Yong Lee, Sunwoo Kim, Kijung Shin
- 정우환KU
Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation
Kyunghoon Jeon, Youmin Ko, Woohwan Jung, Hyunjoon Kim
202517편
- 강유SNU
Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation
Junghun Kim, Hoyoung Yoon, Ka Hyun Park, U Kang
- 이재길KAIST
Bi-Modal Learning for Networked Time Series
Nam, Y., Na, J., Yoon, S., Song, H., Lee, J., and Lee, B. S.
- 김동우, 옥정슬, 박상돈, 박은혁POSTECH
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
Suyeon Kim, Seongku Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
- 박찬영KAIST
Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics
Gyoung S. Na, Chanyoung Park
- 송경우Yonsei
Exploring the Potential of Foundation Models as Reliable AI Contact Centers
Hoyoon Byun, Minhoi Park, Seolah Kim, Eunbi Kim, Kyungwoo Song
- 박찬영KAIST
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian McAuley, Chanyoung Park
- 이재길KAIST
Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts
Na, J., Nam, Y., Kang, J., and Lee, J.
- 박찬영KAIST
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
- 박찬영KAIST
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
- 신기정KAIST
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
- 강유SNU
PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor Factorization
Yong-chan Park, Kisoo Kim, U Kang
- 박진규KAIST
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto*, Chuanbo Hua*, Junyoung Park*, Laurin Luttmann*, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, ...
- 안성수KAIST
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haey...
- 신기정KAIST
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Zepeda Gast, Andre Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim...
- 유재민SNU
Self-Tuning Self-Supervised Image Anomaly Detection
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
- 신기정KAIST
SkySearch: Satellite Video Search at Scale
Minyoung Choe, Geon Lee, Changhun Han, Suji Kim, Woong Hu, Hyebeen Hwang, Geunseok Park, Byeongyeon Kim, Hyesook Lee, Ha-Myung Park, Kijung Shin
- 박진규KAIST
Wind Farm Layout Optimization with Diffusion Models
Yujin Shin*, Taeyoung Yun*, Sujin Yun, Sungpil Woo, Sunhwan Lim, Jinkyoo Park