Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application (Jun-Gi Jang, Jeongyoung Lee, Yongchan Park, and U Kang) #강유 교수팀
Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking (Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, and U Kang) #강유 교수팀
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation (Jongjin Kim, Hyunsik Jeon, Jaeri Lee, and U Kang) #강유 교수팀
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values (Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, and U Kang) #강유 교수팀
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge (Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, and U Kang) #강유 교수팀
MiDaS: Representative Sampling from Real-world Hypergraphs (Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang and Kijung Shin) #강유 교수팀
Model-Agnostic Augmentation for Accurate Graph Classification (Jaemin Yoo, Sooyeon Shim and U Kang) #강유 교수팀
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang) #강유 교수팀
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors (Jun-Gi Jang and U Kang) #강유 교수팀
Accurate Graph-Based PU Learning without Class Prior (Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, and U Kang) #강유 교수팀
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-shot Cross-lingual Transfer (Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Seung-Won Hwang, Byung-Gon Chun) #전병곤 교수팀
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification (Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-woo Park, and Seung-won Hwang) #황승원 교수팀
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values (Dawon Ahn, Seyun Kim, and U Kang) #강유 교수팀
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model (Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi) #전병곤 교수팀
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching (Yeonhong Park, Sunhong Min, and Jae W. Lee) #이재욱 교수팀
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (Jaemin Yoo, Yejun Soun, Yong-chan Park, and U Kang) #강유 교수팀
Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries (Jun-Gi Jang and U Kang) #강유 교수팀
Fast and Accurate Partial Fourier Transform for Time Series Data (Yong-chan Park, Jun-Gi Jang, and U Kang) #강유 교수팀
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion (Jaehun Jung, Jinhong Jung, and U Kang) #강유 교수팀
Gtensor: Fast and Accurate Tensor Analysis System using GPUs (Dawon Ahn, Sangjun Son, U Kang) #강유 교수팀
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors (Jun-Gi Jang, U Kang) #강유 교수팀
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences (Bonhun Koo, Hyunsik Jeon, U Kang) #강유 교수팀
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data (Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sangmin Park, Kyomin Jung) #정교민 교수팀
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing (Joonyoung Kim, Donghyeon Lee, Kyomin Jung) #정교민 교수팀
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Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference (Jaemin Yoo, U Kang, Mauro Scanagatta) #강유 교수팀