Dong Hyun Jeong

62 papers A* 2A 2B 5C 2Misc 6Journal 30Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. IEEE Trans. Netw. Sci. Eng. Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2026	J	`jnl`	Designing a hybrid approach for multivariate network attack forecasting and detection. Comput. Networks Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
2026	J	`jnl`	X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection. CoRR Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	J	`jnl`	Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. CoRR Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	B	`conf`	Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning. CHASE Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	A*	`conf`	fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning. ICDM Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	J	`jnl`	A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	A*	`conf`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	J	`jnl`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	J	`jnl`	Leveraging Machine Learning to Analyze Semantic User Interactions in Visual Analytics. Inf. Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
2024	B	`conf`	Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic. IEEE Big Data Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	J	`jnl`	Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2023	J	`jnl`	Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji
2023	A	`conf`	Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2023	J	`jnl`	Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
2023	Misc	`conf`	Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023	J	`jnl`	Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2022	J	`jnl`	A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang
2022	J	`jnl`	Forecasting network events to estimate attack risk: Integration of wavelet transform and vector auto regression with exogenous variables. J. Netw. Comput. Appl. Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
2022	J	`jnl`	Lean IT With Value Stream Mapping Analysis: A Case Study in Software Development Life Cycle Process. Inf. Resour. Manag. J. Bong-Keun Jeong, Soo-Yeon Ji, Dong Hyun Jeong
2022	J	`jnl`	PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2021	J	`jnl`	Evaluating visualization approaches to detect abnormal activities in network traffic data. Int. J. Inf. Sec. Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
2020	C	`conf`	Cancer Classification Analysis for Microarray Gene Expression Data by Integrating Wavelet Transform and Visual Analysis. BIBE Soo-Yeon Ji, Dong Hyun Jeong
2020	—	`conf`	Designing a Feature Selection Technique for Analyzing Mixed Data. CCWC Duc Manh Doan, Dong Hyun Jeong, Soo-Yeon Ji
2020	—	`conf`	Estimating Attack Risk of Network Activities in Temporal Domain: A Wavelet Transform Approach. UEMCON Soo-Yeon Ji, Bong-Keun Jeong, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
2019	J	`jnl`	An Analysis of Human Emotions by Utilizing Wavelet Features. Int. J. Multim. Data Eng. Manag. Soo-Yeon Ji, Bong-Keun Jeong, Dong Hyun Jeong
2019	—	`conf`	An Effective Approach to Classify Abnormal Network Traffic Activities using Wavelet Transform. UEMCON Soo-Yeon Ji, Charles A. Kamhoua, Nandi Leslie, Dong Hyun Jeong
2019	Misc	`conf`	Feature-Based Understanding of Human Emotions. IRI Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji
2018	A	`conf`	Summit Selection: Designing a Feature Selection Technique to Support Mixed Data Analysis (Abstract Only). SIGCSE Duc Manh Doan, Clayton Gordon, Dong Hyun Jeong
2017	—	`conf`	Designing a hybrid approach with computational analysis and visual analytics to detect network intrusions. CCWC Dong Hyun Jeong, Bong-Keun Jeong, Soo-Yeon Ji
2016	J	`jnl`	A multi-level intrusion detection method for abnormal network behaviors. J. Netw. Comput. Appl. Soo-Yeon Ji, Bong-Keun Jeong, Seonho Choi, Dong Hyun Jeong
2016	J	`jnl`	A survey of cloud-based network intrusion detection analysis. Hum. centric Comput. Inf. Sci. Nathan Keegan, Soo-Yeon Ji, Aastha Chaudhary, Claude Concolato, Byunggu Yu, Dong Hyun Jeong
2016	—	`conf`	On avoiding Moving Objects for indoor autonomous quadrotors. CASE DongHyeok Shin, Junwhan Kim, Byunggu Yu, Dong Hyun Jeong
2015	J	`jnl`	Designing a collaborative visual analytics system to support users' continuous analytical processes. Hum. centric Comput. Inf. Sci. Dong Hyun Jeong, Soo-Yeon Ji, Evan A. Suma, Byunggu Yu, Remco Chang
2015	J	`jnl`	Designing an Internet Traffic Predictive Model by Applying a Signal Processing Method. J. Netw. Syst. Manag. Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
2014	Misc	`conf`	Designing a two-level monitoring method to detect network abnormal behaviors. IRI Soo-Yeon Ji, Seonho Choi, Dong Hyun Jeong
2014	Misc	`conf`	Understanding implicit and explicit interface tools to perform visual analytics tasks. IRI Dong Hyun Jeong, Soo-Yeon Ji, Tera Greensmith, Byunggu Yu, Remco Chang
2013	J	`jnl`	An integrated framework for managing sensor data uncertainty using cloud computing. Inf. Syst. Byunggu Yu, Ranjan Sen, Dong Hyun Jeong
2013	Misc	`conf`	Understanding environmental influences on performing password-based mobile authentication. IRI Sergey Maydebura, Dong Hyun Jeong, Byunggu Yu
2012	—	`conf`	A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks. Globe Byunggu Yu, Alfredo Cuzzocrea, Dong Hyun Jeong, Sergey Maydebura
2012	—	`conf`	Designing a robust bleeding detection method for brain CT image analysis. BIBM Workshops Saurabh Shirgaonkar, Dong Hyun Jeong, Toan Huynh, Soo-Yeon Ji
2012	Misc	`conf`	Designing a rule-based hourly rainfall prediction model. IRI Soo-Yeon Ji, Sharad Sharma, Byunggu Yu, Dong Hyun Jeong
2012	J	`jnl`	Detecting Insider Threats: Solutions and Trends. Inf. Secur. J. A Glob. Perspect. Sherali Zeadally, Byunggu Yu, Dong Hyun Jeong, Lily Rui Liang
2012	B	`conf`	On Managing Very Large Sensor-Network Data Using Bigtable. CCGRID Byunggu Yu, Alfredo Cuzzocrea, Dong Hyun Jeong, Sergey Maydebura
2012	J	`jnl`	Toward a deeper understanding of the relationship between interaction constraints and visual isomorphs. Inf. Vis. Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong, William Ribarsky, Xiaoyu Wang, Remco Chang
2012	J	`jnl`	Two Visualization Tools for Analyzing Agent-Based Simulations in Political Science. IEEE Computer Graphics and Applications R. Jordan Crouser, Daniel Kee, Dong Hyun Jeong, Remco Chang
2011	—	`conf`	A state transition approach to understanding users' interactions. IEEE VAST Dong Hyun Jeong, Soo-Yeon Ji, William Ribarsky, Remco Chang
2010	—	`conf`	A continuous analysis process between desktop and collaborative visual analytics environments. IEEE VAST Dong Hyun Jeong, Evan A. Suma, Thomas Butkiewicz, William Ribarsky, Remco Chang
2010	—	`conf`	Comparing different levels of interaction constraints for deriving visual problem isomorphs. IEEE VAST Wenwen Dou, Caroline Ziemkiewicz, Lane Harrison, Dong Hyun Jeong, Roxanne Ryan, William Ribarsky, Xiaoyu Wang, Remco Chang
2010	—	`conf`	Touch2Annotate: generating better annotations with less human effort on multi-touch interfaces. CHI Extended Abstracts Yang Chen, Jing Yang, Scott Barlowe, Dong Hyun Jeong
2010	—	`conf`	Using Personality Factors to Predict Interface Learning Performance. HICSS Tera Marie Green, Dong Hyun Jeong, Brian D. Fisher
2009	—	`conf`	Comparing two interface tools in performing visual analytics tasks. IEEE VAST Dong Hyun Jeong, Tera Marie Green, William Ribarsky, Remco Chang
2009	J	`jnl`	Defining and applying knowledge conversion processes to a visual analytics system. Comput. Graph. Xiaoyu Wang, Dong Hyun Jeong, Wenwen Dou, Seok-Won Lee, William Ribarsky, Remco Chang
2009	J	`jnl`	Recovering Reasoning Processes from User Interactions. IEEE Computer Graphics and Applications Wenwen Dou, Dong Hyun Jeong, Felesia Stukes, William Ribarsky, Heather Richter Lipford, Remco Chang
2009	J	`jnl`	User experimentation: an evaluation of velocity control techniques in immersive virtual environments. Virtual Real. Dong Hyun Jeong, Chang Geun Song, Remco Chang, Larry F. Hodges
2009	J	`jnl`	iPCA: An Interactive System for PCA-based Visual Analytics. Comput. Graph. Forum Dong Hyun Jeong, Caroline Ziemkiewicz, Brian D. Fisher, William Ribarsky, Remco Chang
2008	—	`conf`	Evaluating the relationship between user interaction and financial visual analysis. IEEE VAST Dong Hyun Jeong, Wenwen Dou, Heather Richter Lipford, Felesia Stukes, Remco Chang, William Ribarsky
2008	J	`jnl`	Interactive visual analysis of time-series microarray data. Vis. Comput. Dong Hyun Jeong, Alireza Darvish, Kayvan Najarian, Jing Yang, William Ribarsky
2005	B	`conf`	GVis: A Scalable Visualization Framework for Genomic Data. EuroVis Jin Hong, Dong Hyun Jeong, Christopher D. Shaw, William Ribarsky, Mark Borodovsky, Chang Geun Song
2005	C	`conf`	System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways. CIBCB Alireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky
2004	—	`conf`	Force-based velocity control technique in immersive V.E. GRAPHITE Dong Hyun Jeong, Young Hye Jeon, Jeom Keun Kim, Songyong Sim, Chang Geun Song
2000	B	`conf`	Developing an efficient technique of selection and manipulation in immersive V.E.. VRST Chang Geun Song, No Jun Kwak, Dong Hyun Jeong