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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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Title
Conference and Journal
Author
Keyword
Specification
Link
Workshop
ICML2022
1st author
Federated Learning
AutoML
Image Classification
Architecture Search
International
Top-tier
Oral
Under Review
Workshop
ICML2022
1st author
Architecture Search
Bayesian Optimization
Knowledge Distillation
Orthogonality Regularization
International
Top-tier
Under Review
Arxiv
Co-author
Hyperparameter Optimization
Graph Neural Network
Working In Progress
NeurIPS2021
1st author
Noisy Label Classification
Image Classification
SVD
International
Top-tier
IJCAI2021
1st author
Knowledge Distillation
Noisy Label Classification
Image Classification
International
Top-tier
Competition
NeurIPS2020
1st author
AutoML
Hyperparameter Optimization
Bayesian Optimization
Multi-armed Bandit
International
8th rank
PMLR
Competition
NeurIPS2019
1st author
Orthogonality Regularization
Architecture Search
Augmentation
Model Compression
Image Classification
International
Top-tier
2nd rank
Master Thesis
KAIST
1st author
Adversarial Attack
Orthogonality Regularization
Image Classification
Thesis
NeurIPS2023
1st author
Semi-Supervised Learning
Federated Learning
Object Detection
Top-tier
Competition
NeurIPS2022
1st author
Precipitation Nowcasting
Segmentation
International
Top-tier
4th rank
Workshop
NeurIPS2022
Co-author
Multi-Label Classification
Efficient
Transfer Learning
International
Top-tier