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Jin-Hee Cho

Virginia Tech

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information


Feb 19, 2023
Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong H. Jeong, Jin-Hee Cho

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* Accepted version 

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


Dec 13, 2022
Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong H. Jeong, Jin-Hee Cho

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A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning


Jun 14, 2022
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong H. Jeong, Audun Jøsang

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* First four authors contributed equally 

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End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models


May 25, 2022
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang

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* 12 pages, 4 figures 

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Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey


Jan 21, 2021
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles Kamhoua, Munindar P. Singh

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* 30 pages, 156 citations 

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Multidimensional Uncertainty-Aware Evidential Neural Networks


Dec 26, 2020
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

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* AAAI 2021 

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Uncertainty Aware Semi-Supervised Learning on Graph Data


Oct 24, 2020
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho

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* 27 pages 

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Quantifying Classification Uncertainty using Regularized Evidential Neural Networks


Oct 15, 2019
Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho

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* Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data


Oct 12, 2019
Xujiang Zhao, Feng Chen, Jin-Hee Cho

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* 2018 IEEE International Conference on Big Data (Big Data) 
* IEEE Bigdata 2018 

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Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth


Sep 24, 2018
Pang Du, Zheyuan Sun, Huashan Chen, Jin-Hee Cho, Shouhuai Xu

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* IEEE T-IFS (2018) 

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