ProfessorsProfessors of Emory & Henry CollegeBonggun Shin

Bonggun Shin

Emory & Henry College

H-index: 12

North America-United States

About Bonggun Shin

Bonggun Shin, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Emory & Henry College, specializes in the field of Machine learning, Healthcare, Drug Discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Phase-shifted Adversarial Training

New Drug Prediction Method, And Apparatus For Performing Method

Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization

Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE (3)-invariant transformers, Transfer Learning and Homology-based Augmentation

Improving group robustness under noisy labels using predictive uncertainty

In Defense of Core-set: A Density-aware Core-set Selection for Active Learning

Improving evidential deep learning via multi-task learning

SMAT: An attention-based deep learning solution to the automation of schema matching

Bonggun Shin Information

University	Emory & Henry College
Position	___
Citations(all)	1352
Citations(since 2020)	1265
Cited By	566
hIndex(all)	12
hIndex(since 2020)	12
i10Index(all)	14
i10Index(since 2020)	13
Email	Access Email
University Profile Page	Emory & Henry College
Google Scholar	View Google Scholar Profile

Bonggun Shin Skills & Research Interests

Machine learning

Healthcare

Drug Discovery

Top articles of Bonggun Shin

Title	Journal	Author(s)	Publication Date
Phase-shifted Adversarial Training	UAI 2023	Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin	2023/1/12
New Drug Prediction Method, And Apparatus For Performing Method			2023/11/30
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization	arXiv preprint arXiv:2309.07189	Yeachan Kim Bonggun Shin	2023/9/13
Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE (3)-invariant transformers, Transfer Learning and Homology-based Augmentation	arXiv preprint arXiv:2303.08818	Daeseok Lee Jeunghyun Byun Bonggun Shin	2023/2/20
Improving group robustness under noisy labels using predictive uncertainty	arXiv preprint arXiv:2212.07026	Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin	2022/12/14
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning	KDD 2022	Yeachan Kim Bonggun Shin	2022/6/10
Improving evidential deep learning via multi-task learning	AAAI 2022	Dongpin Oh Bonggun Shin	2022/2/22
SMAT: An attention-based deep learning solution to the automation of schema matching		Jing Zhang Bonggun Shin Jinho D Choi Joyce C Ho	2021
Controlled molecule generator for optimizing multiple chemical properties		Bonggun Shin Sungsoo Park JinYeong Bak Joyce C Ho	2021/4/8
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention		Yeachan Kim Bonggun Shin	2021/10/21
Molecular optimization of phase III trial failed anticancer drugs using target affinity and toxicity-centered multiple properties reinforcement learning	Clinical cancer research	Sungsoo Park Yoon Ho Ko Bora Lee Bonggun Shin Bo Ram Beck	2020/6/15
Deep Learning Approaches Towards Computerized Drug Discovery	PhD Dissertation	Bonggun Shin	2020/5/18
Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model	Computational and structural biotechnology journal	Bo Ram Beck Bonggun Shin Yoonjung Choi Sungsoo Park Keunsoo Kang	2020/1/1