Yong W. Hong

Yong W. Hong

Yonsei University

H-index: 6

Asia-South Korea

About Yong W. Hong

Yong W. Hong, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of Computer vision, continual learning.

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

Knowledge Caching for Federated Learning in Wireless Cellular Networks

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

Task-aware network: Mitigation of task-aware and task-free performance gap in online continual learning

Return of the normal distribution: Flexible deep continual learning with variational auto-encoders

Unified probabilistic deep continual learning through generative replay and open set recognition

Distributed Dictionary Learning Over Heterogeneous Clients Using Local Adaptive Dictionaries

Specrank: Ranking by Pairwise Comparisons from Specialty Workers in a Crowdsourced Setting

Ambiguity-Free and Efficient Sparse Phase Retrieval from Affine Measurements Under Outlier Corruption

Yong W. Hong Information

University

Position

PhD candidate in Computer Science

Citations(all)

478

Citations(since 2020)

438

Cited By

177

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Yonsei University

Google Scholar

View Google Scholar Profile

Yong W. Hong Skills & Research Interests

Computer vision

continual learning

Top articles of Yong W. Hong

Title

Journal

Author(s)

Publication Date

Knowledge Caching for Federated Learning in Wireless Cellular Networks

IEEE Transactions on Wireless Communications

Xin-Ying Zheng

Ming-Chun Lee

Kai-Chieh Hsu

Y-W Peter Hong

2024/2/12

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

Neural Networks

Martin Mundt

Yongwon Hong

Iuliia Pliushch

Visvanathan Ramesh

2023/3/1

Task-aware network: Mitigation of task-aware and task-free performance gap in online continual learning

Neurocomputing

Yongwon Hong

Sungho Park

Hyeran Byun

2023/10/1

Return of the normal distribution: Flexible deep continual learning with variational auto-encoders

Neural Networks

Yongwon Hong

Martin Mundt

Sungho Park

Yungjung Uh

Hyeran Byun

2022/10/1

Unified probabilistic deep continual learning through generative replay and open set recognition

Journal of Imaging

Martin Mundt

Iuliia Pliushch

Sagnik Majumder

Yongwon Hong

Visvanathan Ramesh

2022/3/31

Distributed Dictionary Learning Over Heterogeneous Clients Using Local Adaptive Dictionaries

You-De Huang

Y-W Peter Hong

2021/10/25

Specrank: Ranking by Pairwise Comparisons from Specialty Workers in a Crowdsourced Setting

Y-W Peter Hong

Wen-Yang Chen

Hao-Tang Chang

2021/10/25

Ambiguity-Free and Efficient Sparse Phase Retrieval from Affine Measurements Under Outlier Corruption

Ming-Hsun Yang

Y-W Peter Hong

Jwo-Yuh Wu

2021/10/25

Federated Truth Inference over Distributed Crowdsourcing Platforms

Ming-Hsun Yang

Gin-Hao Liu

Y-W Peter Hong

2020/5/4

See List of Professors in Yong W. Hong University(Yonsei University)