Publications 1 페이지 | 서울대학교AI연구원(AIIS)

RESEARCH

Data Intelligence

Total 19건 1 페이지
KDD 2023 (데이터 마이닝 학회)

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

PAKDD 2023 (태평양-아시아 국제 지식발견 및 데이터마이닝 학술대회)

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 

IEEE International Conference on Big Data (BigData)

Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values (Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, and U Kang) #강유 교수팀 

CIKM 2022 (ACM 지식 정보 관리 국제학회)

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

TheWebConf 2022 (더 웹 컨퍼런스)

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

KDD 2022 (데이터 마이닝 학회)

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang) #강유 교수팀

ICDE 2022 (IEEE 국제 데이터 엔지니어링 학회)

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors (Jun-Gi Jang and U Kang) #강유 교수팀

ICDM 2021 (IEEE 국제 데이터마이닝 학회)

Accurate Graph-Based PU Learning without Class Prior (Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, and U Kang) #강유 교수팀

CIKM 2021 (ACM 지식 정보 관리 국제학회)

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

VLDB 2022 (거대 데이터 베이스 컨퍼런스)

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

KDD 2021 (데이터 마이닝 학회)

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

CIKM 2020 (ACM 지식 정보 관리 국제학회)

Gtensor: Fast and Accurate Tensor Analysis System using GPUs (Dawon Ahn, Sangjun Son, U Kang) #강유 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:31 논문에서 이동 됨]
[이 게시물은 최고관리자님에 의해 2021-04-02 21:38:23 논문에서 이동 됨]
ICDE 2020 (데이터 엔지니어링 국제학회)

D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors (Jun-Gi Jang, U Kang) #강유 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:31 논문에서 이동 됨]
[이 게시물은 최고관리자님에 의해 2021-04-02 21:38:23 논문에서 이동 됨]
PAKDD 2020 (태평양-아시아 국제 지식발견 및 데이터마이닝 학술대회)

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

[이 게시물은 최고관리자님에 의해 2021-04-02 20:47:27 논문에서 이동 됨]

[이 게시물은 최고관리자님에 의해 2021-04-02 21:37:35 논문에서 이동 됨]
WSDM 2020 (웹 검색 및 데이터 마이닝 학회)

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference (Jaemin Yoo, U Kang, Mauro Scanagatta) #강유 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 21:11:25 논문에서 이동 됨]

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