Internationnal
Under Review
CoCL: EEG Connectivity-guided Contrastive Learning for Seizure Detection
Hyeon-Jin Im, Jiye Kim, Sunyoung Kwon*, under review , 2023CleanBoost: 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 , 2023Journal
Development and validation of a machine learning-based model for post-sepsis frailty
Yeo Hye Ju1, Noh Dasom1, Kim Taewha, Jang Jin Ho, Lee Young Seok, Park Sunghoon, Moon Jae Young, Oh Dong Kyu, Lee Su Yeon, Park Mi Hyeon, Lim Chae-Man, Sunyoung Kwon*, Cho Woo Hyun*, ERJ Open Research, Under Publish, 2024, (SCIE)3D Contrastive Learning for Molecular Property Prediction
Kisung Moon, Hyeon-Jin Im, Sunyoung Kwon*, Bioinformatics, vol. 39, no. 6, June 8, 2023, (SCIE)[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. (SCI/SCIE) [link]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. (SCI/SCIE)[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. (SCI/SCIE) [preprint] [link]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. (SCI/SCIE)[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. (SCI/SCIE)[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. (SCI/SCIE)[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. (SCI/SCIE) [link]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. (SCI/SCIE)[preprint] [link]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. (SCIE) [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. (SCIE) [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. (SCIE)[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. (SCIE)[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. (SCIE)[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. (SCIE)[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 2014Conference
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]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]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]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]