Sungwon Han

Sungwon Han

KAIST

H-index: 9

Asia-South Korea

About Sungwon Han

Sungwon Han, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at KAIST, specializes in the field of Computer vision, Unsupervised learning, Weakly-supervised learning.

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

FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning

A human-machine collaborative approach measures economic development using satellite imagery

FedDefender: Client-Side Attack-Tolerant Federated Learning

Unified neural topic model via contrastive learning and term weighting

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

Active Learning for Human-in-the-Loop Customs Inspection

Sungwon Han Information

University

Position

___

Citations(all)

314

Citations(since 2020)

314

Cited By

23

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Sungwon Han Skills & Research Interests

Computer vision

Unsupervised learning

Weakly-supervised learning

Top articles of Sungwon Han

Title

Journal

Author(s)

Publication Date

FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning

arXiv preprint arXiv:2404.11905

Sungwon Han

Hyeonho Song

Sungwon Park

Meeyoung Cha

2024/4/18

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning

arXiv preprint arXiv:2404.09491

Sungwon Han

Jinsung Yoon

Sercan O Arik

Tomas Pfister

2024/4/15

A human-machine collaborative approach measures economic development using satellite imagery

Nature Communications

Donghyun Ahn

Jeasurk Yang

Meeyoung Cha

Hyunjoo Yang

Jihee Kim

...

2023/10/26

FedDefender: Client-Side Attack-Tolerant Federated Learning

Sungwon Park

Sungwon Han

Fangzhao Wu

Sundong Kim

Bin Zhu

...

2023/8/6

Unified neural topic model via contrastive learning and term weighting

Sungwon Han

Mingi Shin

Sungkyu Park

Changwook Jung

Meeyoung Cha

2023/5

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

Sungwon Han

Seungeon Lee

Fangzhao Wu

Sundong Kim

Chuhan Wu

...

2023/4/30

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

Sungwon Han

Sungwon Park

Fangzhao Wu

Sundong Kim

Bin Zhu

...

2023

Active Learning for Human-in-the-Loop Customs Inspection

IEEE Transactions on Knowledge and Data Engineering

Sundong Kim

Tung-Duong Mai

Sungwon Han

Sungwon Park

Thi Nguyen

...

2022/1/27

Self-explaining deep models with logic rule reasoning

Advances in Neural Information Processing Systems

Seungeon Lee

Xiting Wang

Sungwon Han

Xiaoyuan Yi

Xing Xie

...

2022/12/6

FedX: Unsupervised federated learning with cross knowledge distillation

Sungwon Han

Sungwon Park

Fangzhao Wu

Sundong Kim

Chuhan Wu

...

2022/10/23

Learning economic indicators by aggregating multi-level geospatial information

Proceedings of the AAAI Conference on Artificial Intelligence

Sungwon Park

Sungwon Han

Donghyun Ahn

Jaeyeon Kim

Jeasurk Yang

...

2022/6/28

Using Web Data to Reveal 22-Year History of Sneaker Designs

Sungkyu Park

Hyeonho Song

Sungwon Han

Berhane Weldegebriel

Lev Manovich

...

2022/4/25

Image analysis system and operating method of the same

2022/1/20

COVID-19 discourse on twitter in four asian countries: Case study of risk communication

Journal of medical Internet research

Sungkyu Park

Sungwon Han

Jeongwook Kim

Mir Majid Molaie

Hoang Dieu Vu

...

2021/3/16

Improving Unsupervised Image Clustering With Robust Learning

Sungwon Park

Sungwon Han

Sundong Kim

Danu Kim

Sungkyu Park

...

2021

Weakly supervised method to predict economic development: A case study for Nepal and Cambodia

Donghyun Ahn

Jeasurk Yang

Sungwon Park

Sungwon Han

Eunji Lee

...

2021

The Shape of Design History: Exploring Evolution of Sneakers Design at Scale Using Neural Embedding

Sungkyu Park

Hyeonho Song

Sungwon Han

Lev Manovich

Emanuele Arielli

...

2021/7/3

Neural Embedding of Sneaker Designs over 23 Years

한국정보과학회 학술발표논문집

Sungkyu Park

Hyeonho Song

Sungwon Han

Lev Manovich

Emanuele Arielli

...

2021/6

Elsa: Energy-based learning for semi-supervised anomaly detection

arXiv preprint arXiv:2103.15296

Sungwon Han

Hyeonho Song

Seungeon Lee

Sungwon Park

Meeyoung Cha

2021/3/29

Learning to Score Economic Development from Satellite Imagery

Sungwon Han

Donghyun Ahn

Sungwon Park

Jeasurk Yang

Susang Lee

...

2020/8/23

See List of Professors in Sungwon Han University(KAIST)

Co-Authors

H-index: 47
Meeyoung Cha

Meeyoung Cha

KAIST

H-index: 25
Seunghoon Hong

Seunghoon Hong

KAIST

H-index: 17
Sang Won Lee

Sang Won Lee

Kyungpook National University

H-index: 12
Wonjae Lee

Wonjae Lee

KAIST

H-index: 10
Jiyoung Han

Jiyoung Han

Seoul National University

H-index: 8
Jihee Kim

Jihee Kim

KAIST

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