Seonwoo Min

According to our database, Seonwoo Min authored at least 18 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Pure Transformers are Powerful Graph Learners.

Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

CoRR, 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, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounding Visual Representations with Texts for Domain Generalization.

Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising.

Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon

CoRR, 2021

Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information.

Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

IEEE Access, 2021

Towards High Generalization Performance on Electrocardiogram Classification.

Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

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

Proceedings of the Computing in Cardiology, 2020

2019

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information.

Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon

CoRR, 2019

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

2017

A SeqGAN for Polyphonic Music Generation.

Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon

CoRR, 2017

Deep learning in bioinformatics.

Seonwoo Min, Byunghan Lee, Sungroh Yoon

Briefings Bioinform., 2017

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs.

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction.

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon

CoRR, 2016

Neural Universal Discrete Denoiser.

Taesup Moon, Seonwoo Min

CoRR, 2016

Neural Universal Discrete Denoiser.

Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016