Seonwoo Min - RankMe

23 papers A* 2Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Contrastive Time-Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. HyunGi Kim, Siwon Kim, Seonwoo Min, Byunghan Lee
2022	J	`jnl`	DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2022	—	`conf`	Grounding Visual Representations with Texts for Domain Generalization. ECCV (37) Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
2022	J	`jnl`	Grounding Visual Representations with Texts for Domain Generalization. CoRR Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim
2022	A*	`conf`	Pure Transformers are Powerful Graph Learners. NeurIPS Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Pure Transformers are Powerful Graph Learners. CoRR Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. Seonwoo Min, Byunghan Lee, Sungroh Yoon
2022	A*	`conf`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2021	J	`jnl`	Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
2021	J	`jnl`	Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
2021	J	`jnl`	TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. CoRR Seonwoo Min, Byunghan Lee, Sungroh Yoon
2021	—	`conf`	Towards High Generalization Performance on Electrocardiogram Classification. CinC 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
2020	—	`conf`	Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon
2019	J	`jnl`	Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
2019	J	`jnl`	Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
2017	J	`jnl`	A SeqGAN for Polyphonic Music Generation. CoRR Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
2017	—	`conf`	Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2017	J	`jnl`	Deep learning in bioinformatics. Briefings Bioinform. Seonwoo Min, Byunghan Lee, Sungroh Yoon
2016	J	`jnl`	Deep Learning in Bioinformatics. CoRR Seonwoo Min, Byunghan Lee, Sungroh Yoon
2016	—	`conf`	Neural Universal Discrete Denoiser. NIPS Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon
2016	J	`jnl`	Neural Universal Discrete Denoiser. CoRR Taesup Moon, Seonwoo Min
2016	J	`jnl`	deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon