Dong Hyun Jeong

Dong Hyun Jeong

University of the District of Columbia

H-index: 18

North America-United States

About Dong Hyun Jeong

Dong Hyun Jeong, With an exceptional h-index of 18 and a recent h-index of 11 (since 2020), a distinguished researcher at University of the District of Columbia,

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

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

Understanding Semantic User Interactions in Visualization

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization

Multi-Label Temporal Evidential Neural Networks for Early Event Detection

EEG analysis of neurodevelopmental disorders by integrating wavelet transform and visual analysis

Multi-Resolution Analysis with Visualization to Determine Network Attack Patterns

Identifying Patterns for Neurological Disabilities by Integrating Discrete Wavelet Transform and Visualization

An Analysis of Temporal Features in Multivariate Time Series to Forecast Network Events

Dong Hyun Jeong Information

University

Position

___

Citations(all)

1530

Citations(since 2020)

632

Cited By

1163

hIndex(all)

18

hIndex(since 2020)

11

i10Index(all)

27

i10Index(since 2020)

12

Email

University Profile Page

University of the District of Columbia

Google Scholar

View Google Scholar Profile

Top articles of Dong Hyun Jeong

Title

Journal

Author(s)

Publication Date

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

arXiv preprint arXiv:2404.10980

Changbin Li

Kangshuo Li

Yuzhe Ou

Lance M Kaplan

Audun Jøsang

...

2024/4/17

Understanding Semantic User Interactions in Visualization

Dong Hyun Jeong

Bong Keun Jeong

Soo Yeon Ji

2024/4/30

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization

arXiv preprint arXiv:2404.18826

Qi Zhang

Lance M Kaplan

Audun Jøsang

Dong Hyun Jeong

Feng Chen

...

2024/4/29

Multi-Label Temporal Evidential Neural Networks for Early Event Detection

Xujiang Zhao

Xuchao Zhang

Chen Zhao

Jin-Hee Cho

Lance Kaplan

...

2023/6/4

EEG analysis of neurodevelopmental disorders by integrating wavelet transform and visual analysis

Soo-Yeon Ji

Sampath Jayarathna

Anne M Perrotti

Katrina Kardiasmenos

Dong H Jeong

2023/2/13

Multi-Resolution Analysis with Visualization to Determine Network Attack Patterns

Applied Sciences

Dong Hyun Jeong

Bong-Keun Jeong

Soo-Yeon Ji

2023/3/16

Identifying Patterns for Neurological Disabilities by Integrating Discrete Wavelet Transform and Visualization

Applied Sciences

Soo Yeon Ji

Sampath Jayarathna

Anne M Perrotti

Katrina Kardiasmenos

Dong Hyun Jeong

2023/12/28

An Analysis of Temporal Features in Multivariate Time Series to Forecast Network Events

Applied Sciences

Soo-Yeon Ji

Bong Keun Jeong

Dong H Jeong

2023/9/18

A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning

Zhen Guo

Zelin Wan

Qisheng Zhang

Xujiang Zhao

Feng Chen

...

2022/6/12

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation

Dong H Jeong

Jin-Hee Cho

Feng Chen

Audun Jøsang

Soo-Yeon Ji

2023/3/11

Uncertainty-aware reward-based deep reinforcement learning for intent analysis of social media information

arXiv preprint arXiv:2302.10195

Zhen Guo

Qi Zhang

Xinwei An

Qisheng Zhang

Audun Jøsang

...

2023/2/19

Detecting intents of fake news using uncertainty-aware deep reinforcement learning

Zhen Guo

Qi Zhang

Qisheng Zhang

Lance M Kaplan

Audun Jøsang

...

2023/7/2

PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration

arXiv preprint arXiv:2212.06343

Qisheng Zhang

Zhen Guo

Audun Jøsang

Lance M Kaplan

Feng Chen

...

2022/12/13

Interactive Web-Based Visual Analysis on Network Traffic Data

Information

Dong Hyun Jeong

Jin-Hee Cho

Feng Chen

Lance Kaplan

Audun Jøsang

...

2022/12/28

Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables

Journal of Network and Computer Applications

Soo-Yeon Ji

Bong Keun Jeong

Charles Kamhoua

Nandi Leslie

Dong Hyun Jeong

2022/7/1

Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process

Information Resources Management Journal (IRMJ)

Bong Keun Jeong

Soo-Yeon Ji

Dong Hyun Jeong

2022/1/1

Designing a supervised feature selection technique for mixed attribute data analysis

Machine Learning with Applications

Dong Hyun Jeong

Bong Keun Jeong

Nandi Leslie

Charles Kamhoua

Soo-Yeon Ji

2022/12/15

Online Course and Program Assessment Strategies Leading to Effective Continuous Improvement

Briana Lowe Wellman

Ludwig C. Nitsche

Dong Hyun Jeong

2021/4

Evaluating visualization approaches to detect abnormal activities in network traffic data

International Journal of Information Security

Soo-Yeon Ji

Bong-Keun Jeong

Dong Hyun Jeong

2021/6

Designing a feature selection technique for analyzing mixed data

Duc Manh Doan

Dong Hyun Jeong

Soo-Yeon Ji

2020/1/6

See List of Professors in Dong Hyun Jeong University(University of the District of Columbia)