Fabrication of Nonenzymatic Glucose Sensors Based on Multiwalled Carbon Nanotubes with Bimetallic Pt-M (M = Ru and Sn) Catalysts by Radiolytic Deposition. - Sunyoung Kwon; Hai-Doo Kwen; Seong-Ho Choi 004 (J. Sensors, 2012)

In-depth analysis of interrelation between quality scores and real errors in illumina reads. - Sunyoung Kwon; Seunghyun Park 001; Byunghan Lee; Sungroh Yoon (EMBC, 2013)

CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing. - Sunyoung Kwon; Byunghan Lee; Sungroh Yoon (BMC Bioinform., 2014)

NASCUP: Nucleic Acid Sequence Classification by Universal Probability. - Sunyoung Kwon; Gyuwan Kim; Byunghan Lee; Sungroh Yoon; Young-Han Kim 001 (CoRR, 2015)

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond. - Sungmin Lee 001; Byunghan Lee; Sei Joon Kim; Sunyoung Kwon; Sungroh Yoon (CoRR, 2015)

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction. - Sunyoung Kwon; Sungroh Yoon (BCB, 2017)

LncRNAnet: long non-coding RNA identification using deep learning. - Junghwan Baek; Byunghan Lee; Sunyoung Kwon; Sungroh Yoon (Bioinform., 2018)

DNA Steganalysis Using Deep Recurrent Neural Networks. - Ho Bae; Byunghan Lee; Sunyoung Kwon; Sungroh Yoon (PSB, 2019)

Comprehensive ensemble in QSAR prediction for drug discovery. - Sunyoung Kwon; Ho Bae; Jeonghee Jo; Sungroh Yoon (BMC Bioinform., 2019)

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. - Kyung-Wha Park; Junghoon Lee; Sunyoung Kwon; Jung-Woo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (CoRR, 2019)

End-to-End Representation Learning for Chemical-Chemical Interaction Prediction. - Sunyoung Kwon; Sungroh Yoon (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2020)

Graphs, Entities, and Step Mixture. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (CoRR, 2020)

Multi-Manifold Learning for Large-scale Targeted Advertising System. - Kyuyong Shin; Young-Jin Park; Kyung-Min Kim; Sunyoung Kwon (CoRR, 2020)

Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. - Wonyoung Shin; Jung-Woo Ha 001; Shengzhe Li; Yongwoo Cho 003; Hoyean Song; Sunyoung Kwon (CoRR, 2020)

Stress Detection With Single PPG Sensor by Orchestrating Multiple Denoising and Peak-Detecting Methods. - Seongsil Heo; Sunyoung Kwon; Jaekoo Lee (IEEE Access, 2021)

NASCUP: Nucleic Acid Sequence Classification by Universal Probability. - Sunyoung Kwon; Gyuwan Kim; Byunghan Lee; Jongsik Chun; Sungroh Yoon; Young-Han Kim 001 (IEEE Access, 2021)

Graphs, Entities, and Step Mixture for Enriching Graph Representation. - Kyuyong Shin; Wonyoung Shin; Jung-Woo Ha 001; Sunyoung Kwon (IEEE Access, 2021)

M2FN: Multi-step modality fusion for advertisement image assessment. - Kyung-Wha Park; Jung-Woo Ha 001; Junghoon Lee; Sunyoung Kwon; Kyung-Min Kim; Byoung-Tak Zhang (Appl. Soft Comput., 2021)

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (CoRR, 2021)

Fall Detection using Biometric Information Based on Multi-Horizon Forecasting. - Inkyung Kim; Daehee Kim 003; Sunyoung Kwon; Sheayun Lee; Jaekoo Lee (ICPR, 2022)

Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification. - Dae-Il Noh; Seon-Geun Jeong; Huu-Trung Hoang; Quoc-Viet Pham; Thien Huynh-The; Mikio Hasegawa; Hiroo Sekiya; Sunyoung Kwon; Sang-Hwa Chung; Won-Joo Hwang (IEEE Access, 2022)

MORE: Molecule Pretraining with Multi-Level Pretext Task. - Yeongyeong Son; Dasom Noh; Gyoungyoung Heo; Gyoung Jin Park; Sunyoung Kwon (AAAI, 2025)

Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning. - Bonyou Koo; Sunyoung Kwon (IEEE Access, 2025)