Dong Hyun Jeong

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 24

Top Topics

Network Traffic

Influence Maximization

Wavelet Transform

Top Venues

Publications

Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR (2024)
Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR (2024)
Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. Inf. 15 (6) (2024)
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion 101 (2024)
Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR (2024)
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14 (1) (2023)
Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR (2023)
Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS (2023)
Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP (2023)
Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR (2023)
Bong-Keun Jeong, Soo-Yeon Ji, Dong Hyun Jeong
Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process. Inf. Resour. Manag. J. 35 (1) (2022)
Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables. J. Netw. Comput. Appl. 203 (2022)
Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
Evaluating visualization approaches to detect abnormal activities in network traffic data. Int. J. Inf. Sec. 20 (3) (2021)
Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach. UEMCON (2020)
Duc Manh Doan, Dong Hyun Jeong, Soo-Yeon Ji
Designing a Feature Selection Technique for Analyzing Mixed Data. CCWC (2020)
Soo-Yeon Ji, Dong Hyun Jeong
Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. BIBE (2020)
Soo-Yeon Ji, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform. UEMCON (2019)
Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji
Feature-Based Understanding of Human Emotions. IRI (2019)
Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
An Analysis of Human Emotions by Utilizing Wavelet Features. Int. J. Multim. Data Eng. Manag. 10 (4) (2019)
Duc Manh Doan, Clayton Gordon, Dong Hyun Jeong
Summit Selection: Designing a Feature Selection Technique to Support Mixed Data Analysis (Abstract Only). SIGCSE (2018)
Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions. CCWC (2017)
Nathan Keegan, Soo-Yeon Ji, Aastha Chaudhary, Claude Concolato, Byunggu Yu, Dong Hyun Jeong
A survey of cloud-based network intrusion detection analysis. Hum. centric Comput. Inf. Sci. 6 (2016)
Soo-Yeon Ji, Bong-Keun Jeong, Seonho Choi, Dong Hyun Jeong
A multi-level intrusion detection method for abnormal network behaviors. J. Netw. Comput. Appl. 62 (2016)
Donghyeok Shin, Junwhan Kim, Byunggu Yu, Dong Hyun Jeong
On avoiding Moving Objects for indoor autonomous quadrotors. CASE (2016)
Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method. J. Netw. Syst. Manag. 23 (4) (2015)
Dong Hyun Jeong, Soo-Yeon Ji, Evan A. Suma, Byunggu Yu, Remco Chang
Designing a collaborative visual analytics system to support users' continuous analytical processes. Hum. centric Comput. Inf. Sci. 5 (2015)
Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
Designing a two-level monitoring method to detect network abnormal behaviors. IRI (2014)
Dong Hyun Jeong, Soo-Yeon Ji, Tera Greensmith, Byunggu Yu, Remco Chang
Understanding implicit and explicit interface tools to perform visual analytics tasks. IRI (2014)
Sergey Maydebura, Dong Hyun Jeong, Byunggu Yu
Understanding environmental influences on performing password-based mobile authentication. IRI (2013)
Byunggu Yu, Ranjan Sen, Dong Hyun Jeong
An integrated framework for managing sensor data uncertainty using cloud computing. Inf. Syst. 38 (8) (2013)
R. Jordan Crouser, Daniel Kee, Dong Hyun Jeong, Remco Chang
Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science. IEEE Computer Graphics and Applications 32 (1) (2012)
Byunggu Yu, Alfredo Cuzzocrea, Dong Hyun Jeong, Sergey Maydebura
A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks. Globe (2012)
Saurabh Shirgaonkar, Dong Hyun Jeong, Toan Huynh, Soo-Yeon Ji
Designing a robust bleeding detection method for brain CT image analysis. BIBM Workshops (2012)
Byunggu Yu, Alfredo Cuzzocrea, Dong Hyun Jeong, Sergey Maydebura
On Managing Very Large Sensor-Network Data Using Bigtable. CCGRID (2012)
Soo-Yeon Ji, Sharad Sharma, Byunggu Yu, Dong Hyun Jeong
Designing a rule-based hourly rainfall prediction model. IRI (2012)
Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong, William Ribarsky, Xiaoyu Wang, Remco Chang
Toward a deeper understanding of the relationship between interaction constraints and visual isomorphs. Inf. Vis. 11 (3) (2012)
Sherali Zeadally, Byunggu Yu, Dong Hyun Jeong, Lily Rui Liang
Detecting Insider Threats: Solutions and Trends. Inf. Secur. J. A Glob. Perspect. 21 (4) (2012)
Dong Hyun Jeong, Soo-Yeon Ji, William Ribarsky, Remco Chang
A state transition approach to understanding users' interactions. IEEE VAST (2011)
Dong Hyun Jeong, Evan A. Suma, Thomas Butkiewicz, William Ribarsky, Remco Chang
A continuous analysis process between desktop and collaborative visual analytics environments. IEEE VAST (2010)
Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong, Roxanne Ryan, William Ribarsky, Xiaoyu Wang, Remco Chang
Comparing different levels of interaction constraints for deriving visual problem isomorphs. IEEE VAST (2010)
Tera Marie Green, Dong Hyun Jeong, Brian D. Fisher
Using Personality Factors to Predict Interface Learning Performance. HICSS (2010)
Yang Chen, Jing Yang, Scott Barlowe, Dong Hyun Jeong
Touch2Annotate: generating better annotations with less human effort on multi-touch interfaces. CHI Extended Abstracts (2010)
Wenwen Dou, Dong Hyun Jeong, Felesia Stukes, William Ribarsky, Heather Richter Lipford, Remco Chang
Recovering Reasoning Processes from User Interactions. IEEE Computer Graphics and Applications 29 (3) (2009)
Xiaoyu Wang, Dong Hyun Jeong, Wenwen Dou, Seok-Won Lee, William Ribarsky, Remco Chang
Defining and applying knowledge conversion processes to a visual analytics system. Comput. Graph. 33 (5) (2009)
Dong Hyun Jeong, Tera Marie Green, William Ribarsky, Remco Chang
Comparing two interface tools in performing visual analytics tasks. IEEE VAST (2009)
Dong Hyun Jeong, Caroline Ziemkiewicz, Brian D. Fisher, William Ribarsky, Remco Chang
iPCA: An Interactive System for PCA-based Visual Analytics. Comput. Graph. Forum 28 (3) (2009)
Dong Hyun Jeong, Chang Geun Song, Remco Chang, Larry F. Hodges
User experimentation: an evaluation of velocity control techniques in immersive virtual environments. Virtual Real. 13 (1) (2009)
Dong Hyun Jeong, Wenwen Dou, Heather Richter Lipford, Felesia Stukes, Remco Chang, William Ribarsky
Evaluating the relationship between user interaction and financial visual analysis. IEEE VAST (2008)
Dong Hyun Jeong, Alireza Darvish, Kayvan Najarian, Jing Yang, William Ribarsky
Interactive visual analysis of time-series microarray data. Vis. Comput. 24 (12) (2008)
Jin Hong, Dong Hyun Jeong, Christopher D. Shaw, William Ribarsky, Mark Borodovsky, Chang Geun Song
GVis: A Scalable Visualization Framework for Genomic Data. EuroVis (2005)
Alireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky
System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways. CIBCB (2005)
Dong Hyun Jeong, Young Hye Jeon, Jeom Keun Kim, Songyong Sim, Chang Geun Song
Force-based velocity control technique in immersive V.E. GRAPHITE (2004)
Chang Geun Song, No Jun Kwak, Dong Hyun Jeong
Developing an efficient technique of selection and manipulation in immersive V.E.. VRST (2000)