Polynomial-based Self-Attention for Table Representation Learning
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, and Noseong Park
International Conference on Machine Learning (ICML), 2024
Constrained Approximate Query Processing with Error and Response Time-Bound Guarantees for Efficient Big Data Analytics
Sungsoo Kim, Choon Seo Park, Taewhi Lee, and Kihyuk Nam
International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC), 2024
Advanced Trajectory Privacy Protection with Attention Mechanism and Auxiliary Classfier Generative Adversarial Networks
Jihwan Shin, Yeji Song, Yoo-Young Cheong, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im
International Conference on Information Networking (ICOIN), 2024
데이터 분석의 진화: 보다 빠르고 스마트한 의사결정을 위한 액티브 메타데이터 기반 빠른 그래프 학습 접근법
김성수, 이태휘, 최병준, 이용진, 남기혁
한국인터넷정보학회 춘계학술발표대회, 2024
2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
Chaejeong Lee, Jayoung Kim, and Noseong Park
International Conference on Machine Learning (ICML), 2023
STaSy: Score-based Tabular Data Synthesis
Jayoung Kim, Chaejeong Lee, and Noseong Park
International Conference on Learning Representations (ICLR), 2023
Learning for Spatio-temporal and Relational Data
Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, and Insik Shin
IEEE International Conference on Big Data (BigData), 2023
Privacy-preserving Approximate Query Processing with Differentially Private Generative Models
Jiwon Ock, Taewhi Lee, and Seongmin Kim
IEEE International Conference on Big Data (BigData), 2023
A Framework for Learned Approximate Query Processing for Tabular Data with Trajectory
Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, and Taewhi Lee
International Conference on Information and Communication Technology Convergence (ICTC), 2023
Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network
Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im
IEEE Access, 2023
Except-Condition Generative Adversarial Network for Generating Trajectory Data
Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im
International Conference on Database and Expert Systems Applications (DEXA), 2023
TCAC-GAN: Synthetic Trajectory Generation Model using Auxiliary Classifier Generative Adversarial Networks for Improved Protection of Trajectory Data
Jihwan Shin, Yeji Song, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im
International Conference on Big Data and Smart Computing (IEEE BigComp), 2023
인공지능 기술을 활용한 데이터 관리 기술 동향
김창수, 박춘서, 이태휘, 김지용
전자통신동향분석, 2023
차분 프라이버시를 만족하는 접두사 트리의 경로 데이터 통계 질의 연구
신지환, 송예지, 안진현, 이태휘, 임동혁
정보처리학회 추계학술발표대회(ACK), 2023
TAP-GAN: 어텐션 메커니즘이 적용된 ACGAN 기반의 경로 프라이버시 강화
신지환, 송예지, 안진현, 이태휘, 임동혁
정보처리학회 춘계학술발표대회(ASK), 2023
데이터 불균형을 고려한 시공간 합성 데이터 생성
송채헌, 박춘서, 이태휘
한국지능시스템학회 춘계학술대회, 2023
2022
SOS: Score-based Oversampling Minor Classes for Tabular Data
Jayoung Kim, ChaeJeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, and Jihoon Cho
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Jihyeon Hyeong, Jayoung Kim, Noseong Park, and Sushil Jajodia
ACM International Conference on Information and Knowledge Management (CIKM), 2022
Exploiting Machine Learning Models for Approximate Query Processing
Taewhi Lee, Kihyuk Nam, Choon Seo Park, and Sung-Soo Kim
IEEE International Conference on Big Data (BigData), 2022
An Efficient Data Analysis For Edge-Enabled Distributed Environments using Tractable Probabilistic Models
Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, and Insik Shin
IEEE International Conference on Big Data (BigData), 2022
Query Transformation for Approximate Query Processing Using Synthetic Data from Deep Generative Models
Taewhi Lee, Choon Seo Park, Kihyuk Nam, and Sung-Soo Kim
IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022
Designing ML-based Approximate Query Processing Services on Time-Varying Large Dataset for Distributed Systems
Kihyuk Nam, Sung-Soo Kim, Choon Seo Park, Taek Yong Nam, and Taewhi Lee
International Conference on Information and Communication Technology Convergence (ICTC), 2022
샘플링 데이터를 이용한 혼합 밀도 네트워크 모델기반 근사 질의 처리
김성수, 박춘서, 남택용, 이태휘
정보과학회 컴퓨팅의 실제 논문지, 2022
2021
Trajectory Privacy Protection of Selective Partial Area Using the GAN Model
Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, and Dong-Hyuk Im
KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE), 2021
머신 러닝 모델 기반 근사 질의 처리 방법에 관한 연구
박춘서, 김성수, 남택용, 이태휘
정보처리학회 추계학술발표대회(ACK), 2021
시놉시스 데이터를 이용한 ML 기반 근사 질의 처리 모델
김성수, 박춘서, 남택용, 이태휘
한국소프트웨어 종합학술대회(KSC), 2021
딥러닝 기반 테이블 합성 기술 소개 (튜토리얼)
박노성
한국통계학회 추계학술대회, 2021