Seonwoo Min

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 22

Top Topics

Structural Information

Protein Structure And Function

Visual Representation

Top Venues

Publications

Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
Grounding Visual Representations with Texts for Domain Generalization. ECCV (37) (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS (2022)
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. CoRR (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR (2022)
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Seonwoo Min, Byunghan Lee, Sungroh Yoon
TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. 38 (3) (2022)
Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
Grounding Visual Representations with Texts for Domain Generalization. CoRR (2022)
Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. NeurIPS (2022)
Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access 9 (2021)
Seonwoo Min, Byunghan Lee, Sungroh Yoon
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. CoRR (2021)
Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR (2021)
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
Towards High Generalization Performance on Electrocardiogram Classification. CinC (2021)
Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC (2020)
Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR (2019)
Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access 7 (2019)
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS (2017)
Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
A SeqGAN for Polyphonic Music Generation. CoRR (2017)
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Deep learning in bioinformatics. Briefings Bioinform. 18 (5) (2017)
Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR (2016)
Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon
Neural Universal Discrete Denoiser. NIPS (2016)
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Deep Learning in Bioinformatics. CoRR (2016)
Taesup Moon, Seonwoo Min
Neural Universal Discrete Denoiser. CoRR (2016)