Bonggun Shin

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 24

Top Topics

Convolutional Neural Networks

Sentiment Analysis

Top Venues

Publications

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