Neural Universal Discrete Denoiser. - Taesup Moon; Seonwoo Min; Byunghan Lee; Sungroh Yoon (NIPS, 2016)

Neural Universal Discrete Denoiser. - Taesup Moon; Seonwoo Min (CoRR, 2016)

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. - Seunghyun Park 001; Seonwoo Min; Hyun-Soo Choi; Sungroh Yoon (CoRR, 2016)

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. - Seunghyun Park 001; Seonwoo Min; Hyun-Soo Choi; Sungroh Yoon (NIPS, 2017)

Deep learning in bioinformatics. - Seonwoo Min; Byunghan Lee; Sungroh Yoon (Briefings Bioinform., 2017)

A SeqGAN for Polyphonic Music Generation. - Sang-gil Lee; Uiwon Hwang; Seonwoo Min; Sungroh Yoon (CoRR, 2017)

Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. - Hyun-Soo Choi; Seonwoo Min; Siwon Kim; Ho Bae; Jee Eun Yoon; Inha Hwang; Dana Oh; Chang-Ho Yun; Sungroh Yoon (IEEE Access, 2019)

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. - Seonwoo Min; Seunghyun Park 001; Siwon Kim; Hyun-Soo Choi; Sungroh Yoon (CoRR, 2019)

Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. - Seonwoo Min; Hyun-Soo Choi; Hyeongrok Han; Minji Seo; Jin-Kook Kim; Junsang Park; Sunghoon Jung; Il-Young Oh; Byunghan Lee; Sungroh Yoon (CinC, 2020)

Towards High Generalization Performance on Electrocardiogram Classification. - Hyeongrok Han; Seongjae Park; Seonwoo Min; Hyun-Soo Choi; Eunji Kim 002; Hyunki Kim; Sangha Park; Jinkook Kim; Junsang Park; Junho An; Kwanglo Lee; Wonsun Jeong; et al. (CinC, 2021)

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. - Seonwoo Min; Seunghyun Park 001; Siwon Kim; Hyun-Soo Choi; Byunghan Lee; Sungroh Yoon (IEEE Access, 2021)

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. - Sungmin Cha; Seonwoo Min; Sungroh Yoon; Taesup Moon (CoRR, 2021)

Grounding Visual Representations with Texts for Domain Generalization. - Seonwoo Min; Nokyung Park; Siwon Kim; Seunghyun Park 001; Jinkyu Kim 001 (ECCV (37), 2022)

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. - Sungjun Cho; Seonwoo Min; Jinwoo Kim; Moontae Lee; Honglak Lee; Seunghoon Hong (NeurIPS, 2022)

Pure Transformers are Powerful Graph Learners. - Jinwoo Kim; Dat Nguyen; Seonwoo Min; Sungjun Cho; Moontae Lee; Honglak Lee; Seunghoon Hong (NeurIPS, 2022)

TargetNet: functional microRNA target prediction with deep neural networks. - Seonwoo Min; Byunghan Lee; Sungroh Yoon (Bioinform., 2022)

Pure Transformers are Powerful Graph Learners. - Jinwoo Kim; Tien Dat Nguyen; Seonwoo Min; Sungjun Cho; Moontae Lee; Honglak Lee; Seunghoon Hong (CoRR, 2022)

DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. - Ho Bae; Seonwoo Min; Hyun-Soo Choi; Sungroh Yoon (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Contrastive Time-Series Anomaly Detection. - HyunGi Kim; Siwon Kim; Seonwoo Min; Byunghan Lee (IEEE Trans. Knowl. Data Eng., 2024)