Bonggun Shin - RankMe

27 papers A* 3A 1B 1C 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Turbocharging protein binding site prediction with geometric attention, inter-resolution transfer learning, and homology-based augmentation. BMC Bioinform. Daeseok Lee, Wonjun Hwang, Jeunghyun Byun, Bonggun Shin
2023	J	`jnl`	Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE(3)-invariant transformers, Transfer Learning and Homology-based Augmentation. CoRR Daeseok Lee, Bonggun Shin, Jeunghyun Byun
2023	J	`jnl`	Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization. CoRR Yeachan Kim, Bonggun Shin
2023	J	`jnl`	Phase-shifted Adversarial Training. CoRR Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin
2023	A	`conf`	Phase-shifted adversarial training. UAI Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin
2022	A*	`conf`	Improving Evidential Deep Learning via Multi-Task Learning. AAAI Dongpin Oh, Bonggun Shin
2022	J	`jnl`	Improving group robustness under noisy labels using predictive uncertainty. CoRR Dongpin Oh, Dae Lee, Jeunghyun Byun, Bonggun Shin
2022	A*	`conf`	In Defense of Core-set: A Density-aware Core-set Selection for Active Learning. KDD Yeachan Kim, Bonggun Shin
2022	J	`jnl`	In Defense of Core-set: A Density-aware Core-set Selection for Active Learning. CoRR Yeachan Kim, Bonggun Shin
2021	—	`conf`	An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. MLHC Yeachan Kim, Bonggun Shin
2021	J	`jnl`	An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. CoRR Yeachan Kim, Bonggun Shin
2021	—	`conf`	Controlled molecule generator for optimizing multiple chemical properties. CHIL Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho
2021	J	`jnl`	Improving evidential deep learning via multi-task learning. CoRR Dongpin Oh, Bonggun Shin
2021	C	`conf`	SMAT: An Attention-Based Deep Learning Solution to the Automation of Schema Matching. ADBIS Jing Zhang, Bonggun Shin, Jinho D. Choi, Joyce C. Ho
2020	J	`jnl`	Controlled Molecule Generator for Optimizing Multiple Chemical Properties. CoRR Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho
2019	—	`conf`	Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. BHI Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi
2019	J	`jnl`	Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. CoRR Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi
2019	—	`conf`	Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction. MLHC Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho
2019	J	`jnl`	Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction. CoRR Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho
2019	A*	`conf`	The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. IJCAI Bonggun Shin, Hao Yang, Jinho D. Choi
2019	J	`jnl`	The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. CoRR Bonggun Shin, Hao Yang, Jinho D. Choi
2017	J	`jnl`	Classification of Radiology Reports Using Neural Attention Models. CoRR Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi
2017	B	`conf`	Classification of radiology reports using neural attention models. IJCNN Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi
2017	—	`conf`	Lexicon Integrated CNN Models with Attention for Sentiment Analysis. WASSA@EMNLP Bonggun Shin, Timothy Lee, Jinho D. Choi
2016	J	`jnl`	Lexicon Integrated CNN Models with Attention for Sentiment Analysis. CoRR Bonggun Shin, Timothy Lee, Jinho D. Choi
2012	J	`jnl`	Bayesian Group Nonnegative Matrix Factorization for EEG Analysis CoRR Bonggun Shin, Alice Oh
2011	—	`conf`	Pattern-preserving-based motion imitation for robots. URAI Bonggun Shin, Sungho Jo