Publication
Under Review
CoCL: EEG Connectivity-guided Contrastive Learning for Seizure Detection
Hyeon-Jin Im, Jiye Kim, Sunyoung Kwon*, under review , 2024CleanBoost: Emphasizing Clean and Informative Samples for Robust Learning Against Label Noise
Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon*, under review , 20232025
International (Journal)
Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning
Bonyou Koo, Sunyoung Kwon*, IEEE Access, Jan 17, 2025.[preprint] [link]International (Conference)
MORE: Molecule Pretraining with Multi-Level Pretext Task
Yeongyeong Son, Dasom Noh, Gyoungyoung Heo, Gyoung Jin Park, Sunyoung Kwon*, in Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, USA, Februrary 2025.[preprint] [video] [GitHub]Patent
분자 그래프 분석을 위한 인코더 사전 학습 장치 및 방법
손연경, 노다솜, 허경영, 박경진, 권선영출원일: 2025년 01월 23일, 출원번호: 10-2025-00101612024
International (Journal)
Age and Late Recurrence in Young Patients With ER-Positive, ERBB2-Negative Breast Cancer
Dong Seung Shin1, Janghee Lee, Eunhye Kang, Dasom Noh, Jong-Ho Cheun, Jun-Hee Lee, Yeongyeong Son, Soong Jun Bae, Seok Won Kim, Jeong Eon Lee, Jonghan Yu, Byung-Joo Chae, Sunyoung Kwon, Han-Byoel Lee, Sung Gwe Ahn, Jai Min Ryu*, JAMA Network Open, Nov 7, 2024. (within 5%)[preprint] [link]Development and validation of a machine learning-based model for post-sepsis frailty
Hye Ju Yeo1, Dasom Noh1, Tae Hwa Kim, Jin Ho Jang, Young Seok Lee, Sunghoon Park, Jae Young Moon, Kyeongman Jeon, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, Woo Hyun Cho*, Sunyoung Kwon*, ERJ Open Research, July 11, 2024.[preprint] [link]Systematic Selection of High Affinity ssDNA Sequences to Carbon Nanotubes
Dakyeon Lee1, Jaekang Lee1, Woojin Kim, Yeongjoo Suh, Jiwoo Park, Sungjee Kim*, YongJoo Kim*, Sunyoung Kwon*, Sanghwa Jeong*, Advanced Science, June 25, 2024. (within 10%)(Best Researcher Award.)[preprint] [link]Domestic (Journal)
분자 그래프 자기지도학습 심층분석: 공정 비교 및 한계 [link]
허경영, 손연경, 권선영*, 정보과학회 컴퓨팅의 실제 논문지, pp.594-599, November 2024
분자 그래프 분류에서의 설명 가능한 인공지능 [link]
손연경, 신예원, 권선영*, 정보과학회논문지, pp.157-164, February 2024
분자 그래프 특징 분석 및 수소와 원자 간 결합 정보 사용에 따른 성능 비교 [link]
노다솜, 손연경, 구본유, 권선영*, 정보과학회 컴퓨팅의 실제 논문지, pp.49-54, January 2024
Domestic (Conference)
그래프 구조 학습을 이용한 소규모 불균형 테이블 데이터셋의 분류 성능 향상 (최우수논문상) [link]
노다솜, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
약물 간 상호작용 예측에서 상호작용 유형 인지 향상을 위한 새로운 평가 및 학습 기법 (우수논문상) [link]
조영빈, 박경진, 노다솜, 서민지, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
심전도 신호 재구성 방식의 자기지도 학습 제안 및 비교 (우수발표논문상) [link]
손연경, 조영빈, 이 찬, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
이미지 기반 사전 학습 모델을 활용한 심전도 신호의 이미지화 효과 (우수발표논문상) [link]
이 찬, 노윤우, 유은진, 전한나, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
강화학습 기반 흉부 X-Ray 자동 진단 생성 모델의 불확실성 제어 [link]
허경영, 이재강, 민수연, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
약물-표적 결합 친화도 예측 향상을 위한 약물 및 단백질의 통합 표현 [link]
박경진, 허경영, 노다솜, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
심전도 신호 이진 분류에 대한 언어 모델 활용 (학부생부문 장려상) [link]
하석현, 김수현, 이해인, 김예준, 강경래, 손연경, 권선영*, 한국소프트웨어종합학술대회 논문집, pp., December 2024
약물 및 단백질 데이터 처리 방법에 따른 약물-표적 결합 친화도 예측 모델 성능 비교 [link]
박경진, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.1,043-1,045, June 2024
분자 그래프 신경망의 Soft Label 효과 확인 및 Regression Smoothing 기법 제안 [link]
이 찬, 손연경, 이재강, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.1,157-1,160, June 2024
그래프 구조 학습 적용을 통한 그래프 신경망의 분자 특성 예측 성능 향상 [link]
조영빈, 노다솜, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.1,197-1,199, June 2024
분자 그래프에서 효과적인 표현학습 전략 (학부생부문 우수상) [link]
송민정, 손연경, 박경진, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.2,144-2,146, June 2024
Patent
2023
International (Journal)
3D Contrastive Learning for Molecular Property Prediction
Kisung Moon, Hyeon-Jin Im, Sunyoung Kwon*, Bioinformatics, vol. 39, no. 6, June 8, 2023. (within 10%)[preprint] [link]METTL3 regulates alternative splicing of cell cycle-related genes via crosstalk between mRNA m6A modifications and splicing factors
Yeongjoo Kim1, Seungjae Shin1, Sunyoung Kwon1, Kisung Moon, Su-Vin Baek, Ahyoung Jo, Hyung-Sik Kim, Gue-Ho Hwang, Sangsu Bae, Yun Hak Kim*, Sung-Yup Cho,* Jung-Min Oh*, American Journal of Cancer Research, April 30, 2023. [preprint] [link]Domestic (Journal)
진동 신호의 스펙트로그램을 통한 CNC 공구 마모도 예측 [link]
강재민, 임현진, 구본유, 권선영*, 정보과학회 컴퓨팅의 실제 논문지, pp.357-363, August 2023
Domestic (Conference)
분자 그래프 자기지도학습: 공정 비교 및 한계 (우수발표논문상) [link]
허경영, 손연경, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.825-827, December 2023
분자 문자열 표현의 특성화 토큰 개발 [link]
박경진, 노다솜, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.757-759, December 2023
구조적 관점에서 그래프 풀링 분석 [link]
구본유, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.874-876, December 2023
웨어러블 청진 디바이스와 머신러닝 기반 장 신호 추적과 분석 [link]
이재강, 진성희, 최지예, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.1,821-1,823, December 2023
분자 그래프 신경망 기반 설명 가능한 인공지능 비교 연구 (우수논문상) [link]
손연경, 신예원, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.988-990, June 2023
분자 그래프 데이터셋의 특징 분석 및 노드 특성 구성에 따른 성능 비교 (우수발표논문상) [link]
노다솜, 구본유, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.982-984, June 2023
인공지능을 활용한 CNC 기계 절삭공구 마모 예측 최신 연구 동향 분석 [link]
서영민, 강재민, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.727-729, June 2023
분자 성질 예측에서 리드아웃 함수 분석 [link]
구본유, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.1,103-1,105, June 2023
Feature Fusion를 활용한 ECG 부정맥 분류 [link]
구본유, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.730-732, June 2023
2022
International (Journal)
Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification
Noh, Dae-Il, Seon-Geun Jeong, Huu-Trung Hoang, Quoc-Viet Pham, Thien Huynh-The, Mikio Hasegawa, Hiroo Sekiya, Sun-Young Kwon*, Sang-Hwa Chung, Won-Joo Hwang*, IEEE Access, December 2022.[preprint] [link]The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection
Jae Heun Chung, Seong Hoon Yoon, Doosoo Jeon, Ho Jung Choi, Kisung Moon, Sunyoung Kwon, Heru Agung Saputra, Yun Seong Kim, Yoon-Bo Shim, Annals of Translational Medicine, April 2022.[preprint] [link]International (Conference)
Fall Detection using Biometric Information Based on Multi-Horizon Forecasting
Inkyung Kim, Daehee Kim, Sunyoung Kwon, Sheayun Lee, Jaekoo Lee, in Proceedings of International Conference of Pattern Recognition(ICPR), August 2022[preprint] [source code]Domestic (Journal)
의료 과학 연구를 위한 설명가능 그래프 인공 신경망 [link]
신예원, 문기성, 정영석, 권선영*, 정보과학회논문지, pp.999-1,008, November 2022
대조 학습에 기반한 기침 소리 분류 모델 분석 [link]
임현진, 문기성, 권선영*, 정보과학회논문지, pp.999-1,008, November 2022
Domestic (Conference)
분자 성질 예측을 위한 멀티 모달 분자 표현형 학습 [link]
신예원, 노다솜, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.824-826, December 2022
음성 특징 추출기법을 활용한 진동 신호의 CNC공구 마모도 예측 (우수발표논문상) [link]
임현진, 강재민, 구본유, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.981-983, June 2022
다제내성 결핵균 예측을 위한 다중레이블 분류 모델 연구 [link]
문기성, 신예원, 강전일, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.1,115-1,117, June 2022
2021
International (Journal)
NASCUP: Nucleic Acid Sequence Classification by Universal Probability
Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, Young-Han Kim, IEEE Access, November 2021.[preprint] [link]Graphs, Entities, and Step Mixture for Enriching Graph Representation
Kyuyong Shin, Wonyoung Shin, Jung-woo Ha, Sunyoung Kwon*, IEEE Access, vol.9, pp 144025 - 144034, October 2021.[preprint] [link]Stress Detection with Single PPG Sensor by Orchestrating Multiple Denoising and Peak-detecting Methods
Seongsil Heo, Sunyoung Kwon, Jaekoo Lee, IEEE Access, vol. 9, pp 47777-47785, February 2021.[preprint] [link]M2FN: Multi-step Modality Fusion for Advertisement Image Assessment
Kyung-Wha Park, Jung-Woo Ha, JungHoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang, Applied Soft Computing, vol. 103, pp 107116, January 2021.[preprint] [link]Domestic (Conference)
스펙트로그램의 대조 학습을 이용한 기침 소리 분류 (우수발표논문상) [link]
임현진, 문기성, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.741-743, November 2021
다변량 시계열의 비지도 학습기반 이상치 탐지를 위한 SaaS 아키텍처 및 모델 분석 [link]
정영석, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.753-755, November 2021
단음 스펙트로그램의 증강기법 분석 [link]
임현진, 권선영*, 한국컴퓨터종합학술대회 논문집, pp.733-735, June 2021
Patent
2020
International (Journal)
Development and validation of a next-generation sequencing-based multigene assay to predict the prognosis of estrogen receptor-positive, HER2-negative breast cancer
Han-Byoel Lee, Sae Byul Lee, Minsu Kim, Sunyoung Kwon, Jeonghee Jo, Jinkyoung Kim, Hee Jin Lee, Han Suk Ryu, Jong Won Lee, Chungyeul Kim, Jaehwan Jeong, Hyoki Kim, Dong-Young Noh, In-Ae Park, Sei Hyun Ahn, Sun Kim, Sungroh Yoon, Aeree Kim, and Wonshik Han, Clinical Cancer Research, vol. 26, no. 24, pp. 6513-6522, December 2020.[preprint] [link]International (Conference)
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim, in Proceedings of Neural Information Processing Systems (NeurIPS), December 2020 [preprint] [link]Which Strategies Matter for Label Noise? Insight into Loss and Uncertainty
Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean, Sunyoung Kwon*, Workshop on Dataset Curation and Security - NeurIPS 2020, December 2020 [preprint] [YouTube]Graphs, Entities, and Step Mixture
Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon*, Workshop on Graph Representation Learning and Beyond at International Conference on Machine Learning (ICML GRL+), July 2020[preprint] [link]Multi-Manifold Learning for Large-scale Targeted Advertising System
Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, Sunyoung Kwon, Workshop on artificial intelligence for computational advertising at Knowledge Discovery and Data Mining (AdKDD), June 2020[preprint] [link]Domestic (Conference)
그래프 뉴럴 네트워크를 활용한 약물 개발 최신 연구 동향 분석 [link]
문기성, 권선영*, 한국소프트웨어종합학술대회 논문집, pp.463-465, December 2020
전이 학습을 통한 GRU와 LSTM의 낙상 검출 성능 향상 [link]
김인경, 허성실, 권선영, 이재구, 한국통신학회 하계종합학술발표회, pp.597-598, August 2020
PPG signal preprocessing and comparison study with learning-based model for stress detection [link]
Seongsil Heo, Inkyung Kim, Sunyoung Kwon, Hyejin Lee, Jaekoo Lee, 한국통신학회 하계종합학술발표회, pp.595-596, August 2020
Patent
Under 2020
International (Journal)
Comprehensive Ensemble in QSAR Prediction for Drug Discovery
Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, BMC Bioinformatics, vol. 20, no. 1, pp. 521, October 2019.[preprint] [link]End-to-end Representation Learning for Chemical-Chemical Interaction Prediction
Sunyoung Kwon and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 5, pp. 1436-1447, September/October 2019.[preprint] [link]Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis
Sunyoung Kwon, Ji Young Choi, Jung-Won Shin, Chang-Hun Huh, Kyoung-Chan Park, Mi-Hee Du, Sungroh Yoon, Jung-Im Na, Acta Dermato-Venereologica, vol. 99, no. 3, pp. 284-290, 2019.[preprint] [link]LncRNAnet: Long Noncoding RNA Identification using Deep Learning
Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, Bioinformatics, vol. 34, no. 22, pp. 3889-3897, November 2018.[preprint] [link]Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features
Eunsun Oh, Sung Wook Seo, Young Cheol Yoon, Dong Wook Kim, Sunyoung Kwon, and Sungroh Yoon, Journal of Orthopaedic Surgery, vol. 25, no. 2, pp. 1-7, June 2017.[preprint] [link]CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing
Sunyoung Kwon, Byunghan Lee, and Sungroh Yoon, BMC bioinformatics, vol. 15, no. 9, p. S10, September 2014.[preprint] [link]The Analysis of Genome Database Compaction based on Sequence Similarity
Sunyoung Kwon, Byunghan Lee, Seunghyun Park, Jeonghee Jo, and Sungroh Yoon, KIISE Transactions on Computing Practices, Vol. 23, No. 4, pp. 250-255, April 2017P102 Changes of lesional and non-lesional skin microbiome with the treatment course of atopic dermatitis
Jiyoung Choi, Sunyoung Kwon, Jungwon Shin, Changhun Huh, Kyoungchan Park, Mihee Du, Sungroh Yoon, and Jungim Na, Korea Dermatological Association, Vol. 68, No. 2, pp. 385-386, October 2016Comparative Performance Evaluation of OTU Binning Methods for Metagenomic Sequence Analysis
Seunghyun Park, Hyunsoo Choi, Sunyoung Kwon, and Sungroh Yoon, Communications of the Korean Institute of Information Scientists and Engineers, Vol. 32, No. 3, pp. 46-53, March 2014International (Conference)
DNA Steganalysis using Deep Recurrent Neural Networks
Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2019[preprint] [link]DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction
Sunyoung Kwon, and Sungroh Yoon, Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Boston, USA, August 2017[preprint] [link]NASCUP: Nucleic Acid Sequence Classification by Universal Probability
Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Sungroh Yoon, and Young-Han Kim, 2016 RECOMB-Seq (Massively Parallel Sequencing), Los Angeles, USA, April 2016[preprint] [link]CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing
Sunyoung Kwon, Byunghan Lee, and Sungroh Yoon, Proceedings of 2014 RECOMBSeq (Massively Parallel Sequencing), Pittsburgh, USA, March 2014 (full paper published in BMC Bioinformatics)[preprint] [link]In-depth analysis of interrelation between quality scores and real errors in illumina reads
Sunyoung Kwon, Seunghyun Park, Byunghan Lee, and Sungroh Yoon, Proceedings of IEEE 35th Annual International Conference on Engineering in Medicine and Biology (EMBC), Osaka, Japan, July 2013[preprint] [link]