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Jin-Hee Cho

Virginia Tech

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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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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