Honguk Woo

About Honguk Woo

Honguk Woo, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Sungkyunkwan University, specializes in the field of CPS, Reinforcement Learning, Machine Learning, Cloud, Real-time.

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

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Robust Policy Learning via Offline Skill Diffusion

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Efficient policy adaptation with contrastive prompt ensemble for embodied agents

Graph Embedding-Based Virtual Network Mapping Method

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill

Simulation method and modeling method

Object storage system, migration control device, and migration control method

Honguk Woo Information

University

Position

___

Citations(all)

1036

Citations(since 2020)

372

Cited By

744

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

22

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Honguk Woo Skills & Research Interests

CPS

Reinforcement Learning

Machine Learning

Cloud

Real-time

Top articles of Honguk Woo

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Jinwoo Park
Jinwoo Park

H-Index: 5

Honguk Woo
Honguk Woo

H-Index: 7

Robust Policy Learning via Offline Skill Diffusion

arXiv preprint arXiv:2403.00225

2024/3/1

Woo Kyung Kim
Woo Kyung Kim

H-Index: 22

Honguk Woo
Honguk Woo

H-Index: 7

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

arXiv preprint arXiv:2402.07418

2024/2/12

Efficient policy adaptation with contrastive prompt ensemble for embodied agents

2023/11/2

Graph Embedding-Based Virtual Network Mapping Method

2023/7/20

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill

ICML

2023/6/15

Simulation method and modeling method

2023/6/8

Object storage system, migration control device, and migration control method

2023/6/8

Reinforcement learning method and apparatus using task decomposition

2023/6/8

Network monitoring system

2013/11/19

Apparatus and methods for providing precise motion estimation learning model

2023/4/20

A maturity model for trustworthy AI software development

Applied Sciences

2023/4/10

Jinhan Kim
Jinhan Kim

H-Index: 2

Honguk Woo
Honguk Woo

H-Index: 7

Augmented reality (ar) share system

2023/3/30

A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems

IEEE Access

2023/2/13

Honguk Woo
Honguk Woo

H-Index: 7

Sample-efficient deep learning techniques for burn severity assessment with limited data conditions

Applied Sciences

2022/7/21

Toward an effective bug triage system using transformers to add new developers

Journal of Sensors

2022/4/8

Integrating A Deep Learning-Based Plane Detector in Mobile AR Systems for Improvement of Plane Detection

2022/3/18

Yunho Kim
Yunho Kim

H-Index: 13

Honguk Woo
Honguk Woo

H-Index: 7

Federated Offline Reinforcement Learning for Autonomous Systems

2022/3/11

Honguk Woo
Honguk Woo

H-Index: 7

A graph convolution network-based bug triage system to learn heterogeneous graph representation of bug reports

IEEE access

2022/2/21

Transfer Learning based Precise Pose Estimation with Insufficient Data

2022/2/18

Honguk Woo
Honguk Woo

H-Index: 7

See List of Professors in Honguk Woo University(Sungkyunkwan University)

Co-Authors

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