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Strategies for Reducing Ground Station Operational Costs of Optical Satellite Constellations.
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그래프 구조 학습을 위한 스펙트럴 위치 인코딩 기반 GNN-Transformer 하이브리드 추천 모델.
방송공학회 논문지.
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그래프 트랜스포머 성능 강화를 위한 새로운 엣지 인코딩 기법.
방송공학회 논문지.
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When AI takes your call: Investigating the impact of conversational styles on customer service agents' affective delivery.
TELEMATICS AND INFORMATICS.
99,
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Cortex 기반 임베디드 PC에서의 별 모션 블러링 현상을 활용한달 탐사 큐브로버의 미끄러짐 판단 알고리즘 및 전력소비 분석.
대한원격탐사학회지.
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대형 언어 모델을 이용한 리뷰 데이터의 감성 분석 기반 추천 시스템.
한국지능시스템학회 논문지.
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디퓨전 모델을 활용한 생성 기반의 이미지 분류기 편향 제거 연구.
한국지능시스템학회 논문지.
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A Novel Human Interaction Framework Using Quadratic Discriminant Analysis with HMM.
CMC-COMPUTERS MATERIALS & CONTINUA.
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Explainable B2B Recommender System for Potential Customer Prediction Using KGAT.
ELECTRONICS.
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A Smart Traffic Control System Based on Pixel-Labeling and SORT Tracker.
IEEE ACCESS.
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Deep Sparse Depth Completion Using Multi-Affinity Matrix.
IEEE ACCESS.
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Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network.
IEEE ACCESS.
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Barycentric Kernel for Bayesian Optimization of Chemical Mixture.
ELECTRONICS.
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Time-Weighted Cumulative LSTM Method Using Log Data for Predicting Credit Card Customer Turnover.
IEEE ACCESS.
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Merchant Recommender System Using Credit Card Payment Data.
ELECTRONICS.
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사용자 선호도와 콘텐츠 정보를 기반으로 한 교차 도메인에서의 하이브리드 추천 방법.
한국지능시스템학회 논문지.
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Predicting Inflow Rate of the Soyang River Dam Using Deep Learning Techniques.
WATER.
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Edge Profile Super Resolution.
IEEE ACCESS.
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단행본
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디지털 전환과 가야 할 미래.
성균관대학교출판부.
공동
특허/프로그램
합성곱 신경망을 이용한 심실성 부정맥 예측 방법 및 장치(METHOD AND DEVICE FOR PREDICTION OF VENTRICULAR ARRHYTHMIAS USING CONVOLUTIONAL NEURAL NETWORK).
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20240109.
대한민국
계층적 대조학습을 통한 분할 심전도의 심실 부정맥 검출 프레임워크.
C-2022-047243.
20221123.
대한민국
팩스 스팸 차단 장치, 방법 및 시스템(FAX SPAM DETECTION APPARATUS, METHOD AND SYSTEM).
10-1508-2580000.
20150327.
대한민국
프로그램 소비 집중도 계산 방법 및 이를 이용한 프로그램 추천 방법.
10-2012-0125661.
20140108.
대한민국
GPS 손실 데이터에 대한 경로 방법.
10-2010-0054810.
20120706.
대한민국
퍼지 로직 기반 비정상 트래픽 제어 시스템 및 그 방법(CONTROLLING SYSTEM AND METHOD FOR ABNORMAL TRAFFIC BASED FUZZY LOGIC).
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수상/공훈
우수논문상, 한국지능시스템학회 춘계학술대회, 2024.
Best Paper Award, The 24th International Symposium on Advanced Intelligent Systems, 2023.
우수논문상, 한국지능시스템학회 추계학술대회, 2021.
우수논문상, 한국지능시스템학회 춘계학술대회, 2020.
Bronze Award, IEEE Student paper, 2019.
Grand Prize, KU Medical Hackerton, 2019.
우수논문상, 한국지능시스템학회 추계학술대회, 2019.
우수논문상, 한국지능시스템학회 춘계학술대회, 2019.
학술회의논문
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SubSplat: High-Resolution Pixel-aligned 3DGS via Sub-pixel Gaussian Reparameterization.
European Conference on Computer Vision.
스웨덴
(2026)
Adaptive Token-Aware Query Reformulation for Text-to-Image Retrieval.
The 2026 ACM Conference on Innovative Concepts and Technologies in Information Retrieval.
오스트레일리아
(2026)
DPLoRA: A Dual-Pruning Framework based on ILP Optimization and Progressive Pruning for Parameter-Efficient LoRA Fine-Tuning.
Annual Meeting of the Association for Computational Linguistics.
미국
(2026)
FCRLLM: Aligning LLM with Collaborative Filtering for Long-tailed Sequential Recommendation.
International World Wide Web Conference.
아랍에미리트
(2026)
C3: Capturing Consensus with Contrastive Learning in Group Recommendation.
Pacific-Asia Conference on Knowledge Discovery and Data Mining.
중국
(2026)
SGTRec: Integrating Spectral Encoding with Graph Neural Networks and Transformers for Recommendation.
Pacific-Asia Conference on Knowledge Discovery and Data Mining.
중국
(2025)
RadialFocus: Geometric Graph Transformers via Distance-Modulated Attention.
ACM Conference on Information and Knowledge Management.
대한민국
(2025)
Spectral Edge Encoding - SEE: Does Structural Information Really Enhance Graph Transformer Performance?.
ACM Conference on Information and Knowledge Management.
대한민국
(2025)
WaveRec: Is Wavelet Transform a Better Alternative to Fourier Transform for Sequential Recommendation?.
ICTIR '25: Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR).
이탈리아
(2025)
SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System.
ACM SIGIR Conference on Information Retrieval.
이탈리아
(2025)
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models.
SAC '25: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, pp. 1290 - 1292..
이탈리아
(2025)
Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation.
SAC '25: Proceedings o the 40th ACM/SIGAPP Symposium on Applied Computing.
이탈리아
(2025)
PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients.
SAC '25: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, pp. 1303 - 1305..
이탈리아
(2024)
LMCG-Net Integrating LLMs and ECG for LVEF-Based Classification for Pacing Patients.
2nd International Workshop on Artificial Intelligence Based Multimodal Medical Diagnosis @ BIBM 2024.
포르투갈
(2024)
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection.
Synthetic Data for Computer Vision Workshop @ CVPR 2024.
미국
(2024)
Elevating CTR Prediction: Field Interaction, Global Context Integration, and High-Order Representations.
ACM SIGAPP Symposium on Applied Computing.
스페인
(2024)
Retrieval-Based Disease Prediction for Myocardial Injury after Noncardiac Surgery: Leveraging Language Models as Diagnostic Tools.
AAAI 2024 Spring Symposium Series Clinical FMs.
미국
(2023)
Self-Interactive Attention Networks via Factorization Machines for Click-Through Rate Prediction.
The 24th International Symposium on Advanced Intelligent Systems.
대한민국
(2023)
AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models.
ACM Conference on Information and Knowledge Management.
영국
(2023)
How Important is Periodic Model Update in Recommender Systems?.
ACM SIGIR Conference on Information Retrieval.
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