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Publications Details

Research Interests

•

Optimization for training deep neural networks

•

AutoML: automating the tasks of applying machine learning to real-world problems 

•

Trustworthy and real-world AI/ML Challenges 

•

Federated Learning: train an algorithm across multiple decentralized edge devices 

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Publications: Conference and Journal

Title

Conference and Journal

Author

Keyword

Specification

Link

Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction

Open

Arxiv

1st author

Precipitation Nowcasting

Benchmark Dataset

Under Review

https://arxiv.org/abs/2206.15241

Supernet Training for Federated Image Classification under System Heterogeneity

Open

Workshop

ICML2022

1st author

Federated Learning

AutoML

Image Classification

Architecture Search

International

Top-tier

Oral

Under Review

https://arxiv.org/abs/2206.01366

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search

Open

Workshop

ICML2022

1st author

Architecture Search

Bayesian Optimization

Knowledge Distillation

Orthogonality Regularization

International

Top-tier

Under Review

https://arxiv.org/abs/2206.13130

Revisiting the Activation Function for Federated Image Classification

Open

Workshop

NeurIPS2022

Co-author

Federated Learning

International

Top-tier

https://openreview.net/forum?id=KGvSg8D5-fY

Revisiting Kernel Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

Open

IEEE Access

1st author

Orthogonality Regularization

International

Journal

https://ieeexplore.ieee.org/document/9804718

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces

Open

Arxiv

Co-author

Hyperparameter Optimization

Graph Neural Network

Working In Progress

https://arxiv.org/abs/2202.00893

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

Open

Arxiv

Technical Report

1st author

Federated Learning

Hyperparameter Optimization

Technical Report

https://arxiv.org/abs/2012.03270https://arxiv.org/abs/2012.03270

FINE Samples for Learning with Noisy Labels

Open

NeurIPS2021

1st author

Noisy Label Classification

Image Classification

SVD

International

Top-tier

https://openreview.net/forum?id=QZpx42n0BWr

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Open

IJCAI2021

1st author

Knowledge Distillation

Noisy Label Classification

Image Classification

International

Top-tier

https://www.ijcai.org/proceedings/2021/0362.pdf

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables

Open

Competition

NeurIPS2020

1st author

AutoML

Hyperparameter Optimization

Bayesian Optimization

Multi-armed Bandit

International

8th rank

https://arxiv.org/abs/2012.03501

Efficient Model for Image Classification With Regularization Tricks

Open

PMLR

Competition

NeurIPS2019

1st author

Orthogonality Regularization

Architecture Search

Augmentation

Model Compression

Image Classification

International

Top-tier

2nd rank

http://proceedings.mlr.press/v123/kim20a

Orthogonal feature regularization : a novel approach for training robust models, Korea Advanced Institute of Science and Technology

Open

Master Thesis

KAIST

1st author

Adversarial Attack

Orthogonality Regularization

Image Classification

Thesis

Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection

Open

NeurIPS2023

1st author

Semi-Supervised Learning

Federated Learning

Object Detection

Top-tier

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

Open

Competition

NeurIPS2022

1st author

Precipitation Nowcasting

Segmentation

International

Top-tier

4th rank

https://arxiv.org/abs/2212.02059

Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning

Open

Workshop

NeurIPS2022

Co-author

Multi-Label Classification

Efficient

Transfer Learning

International

Top-tier

https://openreview.net/forum?id=mbOHmKLxBH