Intelligence Innovations

Our research endeavors to push the boundaries of intelligence innovations, focusing on understanding and modeling humans and the world around us. Our research focuses on foundation models, state-of-the-art learning paradigms, and generative AI techniques to drive breakthroughs in AI applications across diverse domains.


Applied Intelligence

We develop scalable, accurate, and context-aware AI applications for robotics, autonomous vehicles (cars and drones), IoT, bio/healthcare, entertainment, and security. Our approach leverages generative AI, reinforcement learning, and edge AI to enable real-time decision-making and adaptive intelligence in dynamic environments.


Systems for Intelligence

We create innovative technology solutions that enhance and accelerate our AI analytics engines. Our research targets intelligent memory/storage systems, heterogeneous computing, and highly parallel/distributed architectures, optimizing performance for AI-specific workloads and enabling energy-efficient AI processing.

Notice

Graduate and Intern Program Opportunities

Join our team and make a real impact in cutting-edge research. To apply, please
email jaekoo@kookmin.ac.kr with your career goals and reasons for your interest.
Here’s what we offer

Financial Support Comprehensive coverage of living costs and a full tuition waiver.
AI Conference Opportunities to present at major domestic and international conferences.
Professional Development Access to specialized courses, projects, and training relevant to your research.
Advanced Research Environment Work with state-of-the-art equipment and facilities.
Global Internships and Exchanges Experience at leading companies and universities, both domestically and internationally.

Principal Investigator

Jaekoo Lee, Ph.D

Associate Professor

Academic Department Affiliations
Department of Artificial Intelligence (Primary)
Department of Software
College of Computer Science

Research Center Affiliations
Center for Artificial Intelligence

email jaekoo at kookmin.ac.kr
phone +82-2-910-4646
office Future Hall #721

school

PhD in ECE, Seoul National University, South Korea (Adviser: Professor Sungroh Yoon)
MS in ECE, UC San Diego, USA

work

Data Scientist, SK Telecom AI Research Center
SW Research Engineer, LG Electronics R&D Campus

Administrative Staff

Card image cap

Lan Seol

sr0213@kookmin.ac.kr
+82-2-910-5167
Future Hall #609 (P-Lab)

Graduate Students

Hyunjong Lee

Research Areas
Vision Transformer
AI for Embedded System
Intern@UCI

dlrhkswhd10@kookmin.ac.kr

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Wooseong Cho

Research Areas
Multi-modal Learning
Graph Neural Networks
Intern@UCI

chowoos@kookmin.ac.kr

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Euihyun Yoon

Research Areas
Zero-shot Learning
Object Detection

dbsdmlgus50@kookmin.ac.kr

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Jaeseok Lee

Research Areas
Generative Models
3D Vision
Intern@UCI

seog1abo@kookmin.ac.kr

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Minjun Kang

Research Areas
Time Series
Privacy Preserving
Intern@UCI

k012302@kookmin.ac.kr

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Sungsik Kim

Research Areas
Multi-modal Learning
Autonomous Driving
Intern@UCI

sskim0126@kookmin.ac.kr

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Seungheon Song

Research Areas
Domain Generalization
Multimodal Learning
Intern@VAIV

song1248@kookmin.ac.kr

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Jaewoong Choi

Research Areas
Generative Models
Style Transfer

chlwodnd0809@kookmin.ac.kr

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Soye Kwon

Research Areas
Generative Models
Style Transfer

soye0710@kookmin.ac.kr

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Junghyeon Seo

Research Areas
Multi-modal Learning
Parameter Efficient Fine-tuning

jh04270312@kookmin.ac.kr

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Yunseok Kang

Research Areas
3D Vision
Neural Rendering

ysck73@kookmin.ac.kr

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Taejin Park

Research Areas
Reinforcement Learning
Robotics

p20182223@kookmin.ac.kr

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Jiwon Kim

Research Areas
Reinforcement Learning
Robotics

zw0831@kookmin.ac.kr

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Minsung Kim

Research Areas
Large Language Model
Multi-modal Learning

probable0519@kookmin.ac.kr

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Undergraduate Students

Yunhui Kim

yuni2821@kookmin.ac.kr

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Seeun Bae

1004bse@kookmin.ac.kr

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Sungjun Jo

kkk121026@kookmin.ac.kr

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Hyobin Kim

kimbin1027@kookmin.ac.kr

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Jubin Park

jbpark0919@naver.com

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Dohyun Park

haksan1999@kookmin.ac.kr

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SungYoung Park

pou876@kookmin.ac.kr

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Seung Min Han

handsomemin@kookmin.ac.kr

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Sungwoo Oh

osw011110@kookmin.ac.kr

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Junseo Kim

wnstjakstp@gmail.comr

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Alumni

Seongsil Heo

Daehee Kim

Inkyung Kim

Hyejin Lee

Youngjun Yoo

Myunghak Lee

Jungmin Eom

Juwan Lim

Jungmin Ha

PUBLICATIONS

2025

International (Conference)

GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought

Sungsik Kim, Janghyun Baek, Jinkyu Kim, and Jaekoo Lee, Autonomous Agents and Multiagent Systems(AAMAS), May 2025.

GOLD: Green Optimization of Language Models Serving on Devices

Dongjoo Seo, Juhee Sung, Jaekoo Lee, and Nikil Dutt, International Conference on Consumer Electronins(ICCE), January 2025.

Confidence-Aware Adaptive Learning for Continual Test-Time Adaptation in Semantic Segmentation

Junghyeon Seo, Dahuin Jung, and Jaekoo Lee, under review.

Spatial Attention Mutual Information Regularization with a Pre-trained Model as Oracle for Lane Detection

Hyunjong Lee, Jangho Lee, and Jaekoo Lee, under review.

International (Journal)

Deep Sequential Feature Learning for Phase Noise Compensation in sub-THz Systems

Kyungsik Seo, Gaeun Choi, Jeongwon Jeon, Jaekoo Lee, and Song Noh, under review.

Alleviating Catastrophic Forgetting with Privacy Preserving Distributed Learning

Jungmin Eom, Minjun Kang, Jinkyu Kim, and Jaekoo Lee, under review.

Explanation for Time Series Transformer

Juwan Lim, Minjun Kang, Sunyoung Kwon, and Jaekoo Lee, under review.

Domestic (Conference)

3D 가우시안 스플래팅과 단안 깊이 추정 네트워크를 활용한 열화상 장면 3차원 복원 품질 향상 연구

Yunseok Kang, Jaeseok Lee, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

CLIP Text 인코더와 Swin Transformer의 정렬을 이용한 확산 모델에서의 자세 기반 사람 이미지 생성

Jeawoong Choi, Soye Kwon, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

[BEST] 멀티 모달 프롬프트를 통한 확산 모델 기반 이미지 편집

Soye Kwon, Jeawoong Choi, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

[BEST] 시각-언어 모델을 활용한 단일 이미지 객체 분할 성능 향상

Euihyun Yoon, Wooseong Cho, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

비디오 차선 인식을 위한 Mamba 활용 연구

Hyunjong Lee, Yunseok Kang, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

[BEST] 노이즈 섭동을 통한 환경 변화에 강건한 카메라 기반 3 차원 점유 예측

Junghyeon Seo, Seungheon Song, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

어텐션 연산 제어를 통한 단일 이미지 입력 텍스처 전이 과업에서의 3 차원 일관성 향상

Jaeseok Lee, Soye Kwon, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

[BEST] CLIP-ViT 분해를 활용한 소수-샷 분류 성능 개선

Seungheon Song, Euihyun Yoon, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

선호도 최적화를 통한 분자 언어 모델의 유효한 분자 문자열 생성 촉진

Wooseong Cho, Minsung Kim, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

사진 선호 규제를 통한 시각-언어 모델의 신뢰도 향상

Minsung Kim, Junghyeon Seo, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

모바일 로봇 자율 주행을 위한 시뮬레이션 기반 시각적 질문 답변 데이터 생성 연구

Sungsik Kim, Taejin Park, and Jaekoo Lee, Image Processing and Image Understanding(IPIU), February 2025.

2024

International (Conference)

Jaeseok Lee and Jaekoo Lee, International Conference of Pattern Recognition(ICPR), December 2024.

Jungmin Ha, Euihyun Yoon, Sungsik Kim, Jinkyu Kim, and Jaekoo Lee, British Machine Vision Conference(BMVC), November 2024.

Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection

Seokha Moon, Hongbeen Park, Jaekoo Lee, and Jinkyu Kim, International Conference on Robotics and Automation(ICRA), May 2024.

International (Journal)

Daehee Kim, Sungmin Lee, Junghyeon Seo, Song Noh, and JaeKoo Lee, Sensors, June 2024.

BIMO: Bootstrap Inter-Intra Modality at Once Unsupervised Learning for Multivariate Time Series

Seongsil Heo, Sungsik Kim, and Jaekoo Lee, Applied Sciences, May 2024.

Inkyung Kim, Juwan Lim, and Jaekoo Lee, IEEE Access, February 2024.

Domestic (Conference)

3D 가우시안 스플래팅을 활용한 3차원 객체 스타일 전이

Soohyeon Seo, Yunseok Kang, Jaeseok Lee, and Jaekoo Lee, Institute of Electronics and Information Engineers(IEIE), November 2024.

적대적 훈련과 엔트로피 최소화를 통한 추론 시기 적응의 성능 및 견고성 향상

Minjun Kang, Wooseong Cho, and Jaekoo Lee, The 5th Korea Artificial Intelligence Conference, September 2024.

개선된 시각적 어텐션 어댑터를 통한 로봇 제어 성능 향상

Jiwon Kim, Minsung Kim, Taejin Park, and Jaekoo Lee, The 5th Korea Artificial Intelligence Conference, September 2024.

[BEST] 텍스트-이미지 임베딩 간 적응적 스케일링을 통한 카테고리 간 텍스처 전이 성능 향상

Jaeseok Lee, Yoonseok Kang, and Jaekoo Lee, The 5th Korea Artificial Intelligence Conference, September 2024.

학습 가능한 매개변수를 활용한 사진에 자유로운 의미론적 분할 성능 개선

Euihyun Yoon, Hyunjong Lee, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

차선 인식 성능 개선을 위한 자기 지도 학습된 모델과의 규제 전략

Hyunjong Lee, Euihyun Yoon, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

악조건에 강건한 목표 기반 보행자 경로 예측

Sungsik Kim, Seungheon Song, Junghyeon Seo, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

CLIP 스타일 프롬프트를 사용한 의미론적 분할에서의 영역 일반화

Junghyeon Seo, Sungsik Kim, Seungheon Song, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

[BEST] 참조 표현 증강과 마스크 통합을 이용한 제로 샷 참조 영상 분할

Seungheon Song, Sungsik Kim, Junghyeon Seo, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

역강화학습에서의 행동 시퀀스 예측

Taejin Park, Wooseong Cho, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

[BEST] 멀티모달 그래프-SMILES 표현을 통한 거대 언어 모델에서의 분자 이해 향상

Wooseong Cho, Minjun Kang, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

[BEST] 대규모 드론 맵핑을 위한 3D 가우시안 스플래팅의 효율성 향상

Yoonseok Kang, Jaeseok Lee, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

문장 프롬프트 기반 가상 의류 체험

Soye Kwon, Jeawoong Choi, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

단일 사진을 이용하는 비디오 생성에서의 텍스트 기반 편집

Jeawoong Choi, Jaeseok Lee, and Jaekoo Lee, Korea Computer Congress(KCC), June 2024.

인공 위성 데이터 집합간 영역 격차 완화를 통한 장면 분류 성능 개선

Euihyun Yoon and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

차선 인식에서 효과적인 자기 지도 학습 전략

Hyunjong Lee, Yunseok Kang, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

얼굴 잡티 제거를 통한 화장 전이 성능 개선

Soye Kwon and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

확산 기반 얼굴 교환 모델의 얼굴 세부 특징 보존을 통한 성능 개선

Jaewoong Choi and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

의사 3차원 훈련 데이터를 통한 텍스처 생성 모델의 텍스처 품질 향상

Jaeseok Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

CLIP 기반 색상 프롬프트 기법을 통한 제로샷 지칭 표현 이해

Sungsik Kim and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

퓨샷 학습을 위한 멀티모달 읽기전용 프롬프트 최적화

Junghyeon Seo and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

시각 언어 모델에 대한 프롬프트를 이용한 적대적 공격

Seungheon Song and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

비전 트랜스포머 모델의 적대적 공격 취약성 연구: 완전 미세 조정과 프롬프트 튜닝 비교 고찰

Minjun Kang, Taejin Park and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

그래프-문자 멀티모달 기반 분자 그래프 분류 과업에서 프롬프트의 효과 분석

Wooseong Cho, Minsung Kim and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2024.

Domestic (Journal)

[BEST] 그래프 노드 중요도 예측 과업: 모델 정리 및 그래프 연결 구조의 중요성 분석

Wooseong Cho, Seungheon Song, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), May 2024.

자기 교사 학습 모델의 특장점 분석과 사진 분류 및 객체 탐지 성능 분석 연구

Euihyun Yoon, Hyunjong Lee, Jungmin Ha, Jaekoo Lee, Jinkyu Kim, Dong Geon Kim and Joo Chan Park, KIISE, April 2024.

2023

International (Conference)

Myunghak Lee, Wooseong Cho, Sungsik Kim, Jinkyu kim, and Jaekoo Lee, British Machine Vision Conference(BMVC), November 2023.

Leveraging Locality Inductive Bias for Automated Medical Imaging Diagnosis

Jungmin Ha, Jinkyu Kim, and Jaekoo Lee, MICCAI Workshop on Foundation Models for General Medical AI(MedAGI), October 2023.

Domestic (Conference)

위성 영상 데이터집합 사이의 도메인 간극 일반화

Jungmin Ha and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

커리큘럼 학습을 통한 자기 교사 학습의 성능 향상

Euihyun Yoon and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

[BEST] 트랜스포머를 활용한 차선 인식에서의 전역 및 지역 정보 통합 연구

Hyunjong Lee and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

사진-SMPL 추정을 통한 3차원 생성 아바타의 자세 변경

Jaeseok Lee and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

마스크를 이용한 역전 기반의 스타일 전이

Jaewoong Choi and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

자기 도전적 메커니즘과 특징 분해를 통한 교차 도메인 일반화 성능 개선

Seungheon Song and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

한글 대형 언어 모델에 워터마킹 기술 적용 및 분석

Sungsik Kim and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

메모리뱅크와 모멘텀 학습 도입을 통한 그래프 대조 학습 성능 향상

Wooseong Cho and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

재연 기반 연속학습에서 차등 개인정보 보호 기법을 활용한 본보기 데이터 구성에 따른 성능 분석

Minjun Kang, Jungmin Eom, and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

패치 기법 기반 시계열 트랜스포머를 활용한 하천 수위 예측

Juwan Lim and Jaekoo Lee, The 4th Korea Artificial Intelligence Conference, September 2023.

이산 푸리에 변환을 이용한 패치 단위의 위치 임베딩 적용

Seungheon Song and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2023.

[BEST] 객체 분할 정보를 활용한 선화 생성 모델의 성능 개선

Jaewoong Choi, Jungmin Ha, Hyejin Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

피부암 진단에서 메타포머의 토큰믹서에 따른 객체 분할 성능 비교

Jungmin Ha and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

시뮬레이션과 실제 환경 사이의 연결: 자율 주행을 위한 객체 탐지 성능 향상

Sungsik Kim, Hyunae Cho, Myunghak Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023

적응적 재보정을 통한 표 데이터에 특화된 TabNet 최적화

Minjun Kang, Juwan Lim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

경량화된 초해상화 방법을 통한 NeRF 렌더링 효율 개선

Jaeseok Lee, Junghyeon Seo, and Jaekoo Lee , Korea Institute of Communication Sciences(KICS), February 2023.

X-ray 영상 데이터를 통한 자기 지도 학습 기반 객체 탐지의 영역 간극에 따른 성능차이 검증

Euihyun Yoon and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

분자 구조 분석을 위한 GNN에 설명 가능한 인공지능 적용

Wooseong Cho and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

그래프를 활용한 차선 인식 성능 개선

Hyunjong Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

다변량 시계열의 명시적 집중 학습을 통한 이상 탐지 효율성 향상

Juwan Lim, Song Noh, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

지식 증류를 이용한 경로 예측 과업의 영역 일반화

Myunghak Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

Prototype Augmentation과 Label Augmentation을 이용한 MLP-Mixer의 연속 학습 성능 개선

Jungmin Eom and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2023.

Domestic (Journal)

객체 분할 정보를 활용한 선화 생성 모델의 성능 개선

Jaewoong Choi and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2023.

자율 주행을 위한 심층 학습 기반 차선 인식 모델 분석

Hyunjong Lee, Jungmin Ha, Euihyun Yoon, and Jaekoo Lee, IEMEK Journal of Embedded Systems and Applications, October 2023.

다변량 시계열 이상 탐지 과업에서 비지도 학습 모델의 성능 비교

Juwan Lim and Jaekoo Lee, Journal of The Korea Institute of Information Security and Cryptology, February 2023.

2022

International (Conference)

Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, and Jaekoo Lee, European Conference on Computer Vision(ECCV), October 2022.

Inkyung Kim, Daehee Kim, Sunyoung Kwon, Sheayun Lee, and Jaekoo Lee, International Conference of Pattern Recognition(ICPR), August 2022.

International (Journal)

Deep Learning-Based Direction Finding in the Presence of Direction-Dependent Mutual Coupling

Kyungsik Seo, Jaekoo Lee, and Song Noh, Information and Communications Technology(ICT) Express Journal, September 2022.

Domestic (Conference)

NeRF에서의 커리큘럼 학습 효과 비교

Jaeseok Lee, Hyejin Lee, Jaekoo Lee, The 3th Korea Artificial Intelligence Conference, September 2022.

2D 이벤트 기반 데이터를 위한 합성곱 스파이킹 신경망의 근사 미분 함수 비교

Hyejin Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

지역성 정보 추가에 따른 낮은 귀납적 편향을 가진 MLP-Mixer의 분류 성능 비교

Jungmin Eom, Jungmin Ha, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

슈퍼픽셀 기반 사진 압축 최적화를 통한 GNN의 성능 개선

Wooseong Cho and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

DETR과 Yolo-v3를 사용한 해양 침적 쓰레기 탐지 성능 비교

Euihyun Yoon, Hyejin Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

합성곱 신경망과 트랜스포머를 활용한 차선 및 도로 인식 성능 비교

Hyunjong Lee, InKyung Kim, Sungsik Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

자기지도 학습 기반의 센서 착용자의 인체 정보을 활용한 인간 행동 인식

Inkyung Kim, Juwan Lim, Minsik Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

자율 주행을 위한 객체 탐지에서 시뮬레이션과 실제 환경 데이터 집합 간의 도메인 격차 검증

Sungsik Kim, Inkyung Kim, Hyunjong Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

자율주행 객체 탐지 과업에서 객체 쿼리 최적화를 이용한 DETR 성능 개선

Jungmin Ha and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

1차원 합성곱 기반 오토인코더를 통한 다변량 시계열 비교사학습 이상 탐지 성능 개선

Juwan Lim, Minjun Kang, Inkyung Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

링크 예측 과업에서의 지식 증류를 이용한 소프트 레이블의 효과

Myunghak Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2022.

Temporal Fusion Transformers 방법을 사용한 사고 탐지

Inkyung Kim, Suhyun Kim, Seungeun Kang, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2022.

Domestic (Journal)

객체 탐지 과업에서의 트랜스포머 기반 모델의 특장점 분석 연구

Jungmin Ha, Hyunjong Lee, Jungmin Eom, and Jaekoo Lee, IEMEK Journal of Embedded Systems and Applications, December 2022.

Temporal Fusion Transformers와 심층 학습 방법을 사용한 다층 수평 시계열 데이터 분석

Inkyung Kim, Daehee Kim, and Jaekoo Lee, KIPS Transactions on Software and Data Engineering(KTSDE), February 2022.

2021

International (Conference)

Daehee Kim, Youngjun Yoo, Seunghyun Park, Jinkyu Kim, and Jaekoo Lee, International Conference on Computer Vision(ICCV), October 2021.

International (Journal)

Daehee Kim, Jinkyu Kim, and Jaekoo Lee, Information and Communications Technology(ICT) Express Journal, November 2021.

Compact Feature Hashing for Machine Learning-Based Malware Detection

Damin Moon and JaeKoo Lee, MyungKeun Yoon, Information and Communications Technology(ICT) Express Journal, August 2021.

Design of Channel Estimation for Hybrid Beamforming Millimeter-Wave Systems in the Presence of Beam Squint

Song Noh, Jaekoo Lee, Heejug Yu, and Jiho Song, IEEE Systems Journal(ISJ), June 2021.

Advanced Network Sampling with Heterogeneous Multiple Chains

Jaekoo Lee, MyungKeun Yoon, and Song Noh, Sensors, March 2021.

Seongsil Heo, Sunyoung Kwon, and Jaekoo Lee, IEEE Access, February 2021.

Domestic (Conference)

지식 그래프 완성을 위한 링크 예측 과업에서 객체 타입이 성능에 미치는 영향

Myunghak Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2021.

순차적인 과업 학습에서 MLP Mixer 의 치명적 망각 현상

Jungmin Eom and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2021.

자동 채색화 과업의 성능 향상을 위한 적대적 생성 신경망의 손실함수 연구

Hyejin Lee and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2021.

BERT, LSTM과 GRU를 사용한 네트워크 이상 탐지 성능 비교

Juwan Lim, Inkyung Kim, Myunghak Lee, Jungmin Ha, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2021.

합성곱 신경망과 비전 트랜스포머를 활용한 포트홀과 맨홀 감지 성능 비교

Jungmin Ha, Inkyung Kim, Juwan Lim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), November 2021.

심층학습 기반 멀티 모달 데이터를 활용한 차량 사고 검출

Youngwan Jo, Ikhyeon Jo, Daehee Kim, Inkyung Kim, Suhyun Kim, Seungeun Kang, Jusuk Um, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2021.

문서 데이터에서 추출한 지식기반 삼중 데이터 집합을 이용한 링크 예측 모델 학습

Myunghak Lee, Jungmin Eom, Hyejin Lee, Juhee Kang, Jungmin Ha, Seungjin Han, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2021.

Temporal Fusion Transformer 모델을 활용한 다층 수평 시계열 데이터 분석

Inkyung Kim, Daehee Kim, and Jaekoo Lee, Korea Information Processing Society(KIPS), May 2021.

[BEST] ECG-기반 스트레스 감지를 위한 비지도 표현 학습

Seongsil Heo and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

오염된 라벨이 경량화된 깊은 신경망에 미치는 영향

Myunghak Lee, Daehee Kim, Seongsil Heo, and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

영상 분류에서 레이블의 무작위화에 따른 CNN의 강인성 분석

Jungmin Eom, Myunghak Lee, Daehee Kim, Seongsil Heo, and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

사고 검출을 위한 기계학습 기반 블랙박스 메타데이터 이상 탐지

Youngwan Jo, Inkyung Kim, Suhyun Kim, Seungeun Kang, Jusuk Um, and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

[BEST] 지식 기반 삼중 데이터베이스를 활용한 메시지 전달신경망의 관계 예측 성능 분석

Juhee Kang, Daehee Kim, and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

깊은 신경망 기반 자동 채색화 모델의 경량화

Hyejin Lee, Daehee Kim, and Jaekoo Lee, IEMEK Symposium on Embedded Technology(ISET), May 2021.

Enhancing Domain Generalization Performance on Lightweight Convolutional Neural Network

Youngjun Yoo, Daehee Kim, Inkyung Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2021.

[BEST] Inter-Domain Curriculum Learning for Domain Generalization

Daehee Kim, Youngjun Yoo, Inkyung Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2021.

Domestic (Journal)

지하공동탐지를 위한 시뮬레이션 생성데이터 기반 깊은 신경망학습

Youngjun Yoo, Daehee Kim, Myunghak Lee, and Jaekoo Lee, Korea Information Processing Society(KIPS), May 2021.

깊이별 분리 합성곱을 활용한 초해상도 모델의 경량화

Daehee Kim, Juhee Kang, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), April 2021.

1D CNN과 기계학습을 사용한 낙상 검출

Inkyung Kim, Daehee Kim, Song Noh, and Jaekoo Lee, KIPS Transactions on Software and Data Engineering(KTSDE), March 2021.

2020

International (Journal)

Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, and Sungroh Yoon, IEEE Access, March 2020.

Domestic (Conference)

[BEST] PPG Signal Preprocessing and Comparison Study with Learning-Based Model for Stress Detection

Seongsil Heo, Inkyung Kim, Sunyoung Kwon, Hyejin Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

전이 학습을 통한 GRU와 LSTM의 낙상 검출 성능 향상

InKyung Kim, SeongSil Heo, SunYoung Kwon, and JaeKoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

적외선 영상의 객체 탐지를 위한 전이 학습 기법

Myunghak Lee, Youngjun Yoo, Youngwan Jo, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

시뮬레이션 기반 생성 데이터로 학습된 깊은 신경망을 활용한 지하공동 탐지

Youngjun Yoo, Daehee Kim, Myunghak Lee, Woong Kang, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

동영상 자동 채색화 성능 향상을 위한 깊은 신경망 손실함수 개선

Hyejin Lee, Byeongjo Kim, Sujin Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

[BEST] 깊은 합성곱 신경망 기반 초해상도 모델의 경량화 연구

Daehee Kim, Juhee Kang, Youngjun Yoo, Youngwan Jo, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

깊은 신경망 기반 객체 인식기를 활용한 교통 약자 인식

Youngwan Jo, Myunghak Lee, Daehee Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), August 2020.

[BEST] 초해상화 모델의 활성함수 변경에 따른 성능 분석

Youngjun Yoo, Daehee Kim, and Jaekoo Lee, Korea Information Processing Society(KIPS), May 2020.

기계학습 기반의 낙상검출

Inkyung Kim, Daehee Kim, Seongsil Heo, and Jaekoo Lee, Korea Information Processing Society(KIPS), May 2020.

BERT 파생 모델의 한국어에 대한 성능 비교

Roje Lee, Eunhwan Park, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2020.

다양한 생성 모델들의 위성 사진으로부터 지도 변환 성능 비교

Myunghak Lee, Junha Song, Juhee Kang, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2020.

깊은 신경망 기반 얼굴 인식을 위한 손실 함수 응용 연구

Seongsil Heo, Daehee Kim, Jaebin Lee, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2020.

[BEST] 얼굴 검출 성능 향상을 위한 깊은 신경망 기반 영상 화질 개선 연구

Daehee Kim, Yonguk Kim, Youngjun Yoo, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), February 2020.

객체 인식용 깊은 신경망을 활용한 실시간 영상 얼굴 비식별화 응용 연구

Seongsil Heo, Daehee Kim, Yonguk Kim, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), June 2019.

Domestic (Journal)

깊은 신경망 기반 영상 화질 개선 모델을 활용한 저품질 영상에서의 객체 검출 성능 향상

Daehee Kim, Youngjun Yoo, Song Noh, and Jaekoo Lee, Korea Institute of Communication Sciences(KICS), December 2020.

활성함수 변화에 따른 초해상화 모델 성능 비교

Youngjun Yoo, Daehee Kim, and Jaekoo Lee, Korea Information Processing Society(KIPS), October 2020.


Future Hall #623 (G-Lab)
Kookmin university
77, Jungrung-ro, Seongbuk-gu, Seoul, Republic of Korea (02707)
+82-2-910-5167

서울특별시 성북구 정릉로 77 국민대학교
미래관 623호 G-Lab
우편번호 02707
+82-2-910-5167