Bonggun Shin

According to our database, Bonggun Shin authored at least 16 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

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

Yeachan Kim, Bonggun Shin

CoRR, 2023

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

Daeseok Lee, Bonggun Shin, Jeunghyun Byun

CoRR, 2023

Phase-shifted adversarial training.

Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Improving group robustness under noisy labels using predictive uncertainty.

Dongpin Oh, Dae Lee, Jeunghyun Byun, Bonggun Shin

CoRR, 2022

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

Yeachan Kim, Bonggun Shin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Evidential Deep Learning via Multi-Task Learning.

Dongpin Oh, Bonggun Shin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention.

Yeachan Kim, Bonggun Shin

Proceedings of the Machine Learning for Healthcare Conference, 2021

Controlled molecule generator for optimizing multiple chemical properties.

Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

SMAT: An Attention-Based Deep Learning Solution to the Automation of Schema Matching.

Jing Zhang, Bonggun Shin, Jinho D. Choi, Joyce C. Ho

Proceedings of the Advances in Databases and Information Systems, 2021

2019

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction.

Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho

Proceedings of the Machine Learning for Healthcare Conference, 2019

The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning.

Bonggun Shin, Hao Yang, Jinho D. Choi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission.

Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017

Lexicon Integrated CNN Models with Attention for Sentiment Analysis.

Bonggun Shin, Timothy Lee, Jinho D. Choi

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Classification of radiology reports using neural attention models.

Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2012

Bayesian Group Nonnegative Matrix Factorization for EEG Analysis

Bonggun Shin, Alice Oh

CoRR, 2012

2011

Pattern-preserving-based motion imitation for robots.

Bonggun Shin, Sungho Jo

Proceedings of the 8th International Conference on Ubiquitous Robots and Ambient Intelligence, 2011