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ORCIDJin-Hee Cho
- > Home > Persons > Jin-Hee Cho
Publications
- 2024
[j66]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: 101987 (2024)- [c103]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 - [i29]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 abs/2404.10980 (2024) - [i28]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 abs/2404.18826 (2024) - 2023
- [j63]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): 16 (2023) - [c97]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: 1-5 - [c94]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: 722-724 - [c93]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD 2023: 5907-5908 - [i26]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 abs/2302.10195 (2023) - [i25]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 abs/2310.01580 (2023) - 2022
- [c82]Audun Jøsang, Jin-Hee Cho, Feng Chen:
Noninformative Prior Weights for Dirichlet PDFs*. MFI 2022: 1-6 - [i23]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang:
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i22]Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR abs/2212.06343 (2022) - 2021
- [j45]Adil Alim, Jin-Hee Cho, Feng Chen:
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. 12(1): 7:1-7:26 (2021) - [c79]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021: 7815-7822 - 2020
- [c71]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS 2020 - [i14]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR abs/2010.12783 (2020) - [i12]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR abs/2012.13676 (2020) - 2019
- [c69]Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData 2019: 6-15 - [c67]Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen:
Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION 2019: 1-8 - [i6]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. CoRR abs/1910.05640 (2019) - [i5]Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho:
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR abs/1910.06864 (2019) - 2018
- [c61]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. IEEE BigData 2018: 1150-1155 - [c57]Audun Jøsang, Jin-Hee Cho, Feng Chen:
Uncertainty Characteristics of Subjective Opinions. FUSION 2018: 1998-2005 - [c53]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning Based Scalable Inference of Uncertain Opinions. ICDM 2018: 807-816 - [c48]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks. MILCOM 2018: 731-736 - 2017
- [c43]Feng Chen, Chunpai Wang, Jin-Hee Cho:
Collective subjective logic: Scalable uncertainty-based opinion inference. IEEE BigData 2017: 7-16
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