A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. - Zhen Guo; Zelin Wan; Qisheng Zhang; Xujiang Zhao; Feng Chen 001; Jin-Hee Cho; Qi Zhang 104; Lance M. Kaplan; Dong Hyun Jeong; Audun Jøsang (CoRR, 2022)

Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. - Zhen Guo; Qi Zhang 104; Qisheng Zhang; Lance M. Kaplan; Audun Jøsang; Feng Chen 001; Dong Hyun Jeong; Jin-Hee Cho (ICWS, 2023)

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. - Zhen Guo; Qi Zhang 104; Xinwei An; Qisheng Zhang; Audun Jøsang; Lance M. Kaplan; Feng Chen 001; Dong Hyun Jeong; Jin-Hee Cho (CoRR, 2023)

Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. - Chen-Wei Chang; Shailik Sarkar; Shutonu Mitra; Qi Zhang 104; Hossein Salemi; Hemant Purohit; Fengxiu Zhang; Michin Hong; Jin-Hee Cho; Chang-Tien Lu (IEEE Big Data, 2024)

Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic. - Qi Zhang 104; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (IEEE Big Data, 2024)

Towards Inclusive Cybersecurity: Protecting the Vulnerable with Social Cyber Vulnerability Metrics. - Shutonu Mitra; Qi Zhang 104; Chen-Wei Chang; Hossein Salemi; Hemant Purohit; Fengxiu Zhang; Michin Hong; Chang-Tien Lu; Jin-Hee Cho (TPS-ISA, 2024)

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. - Qi Zhang 104; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (CoRR, 2024)

A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. - Zhen Guo; Zelin Wan; Qisheng Zhang; Xujiang Zhao; Qi Zhang 104; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (Inf. Fusion, 2024)

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research. - Heajun An; Marcos Silva; Qi Zhang 104; Arav Singh; Minqian Liu; Xinyi Zhang 007; Sarvech Qadir; Sang Won Lee; Lifu Huang; Pamela Wisnieswski; Jin-Hee Cho (CoRR, 2025)

SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment. - Shutonu Mitra; Tomas Neguyen; Qi Zhang 104; Hyungmin Kim; Hossein Salemi; Chen-Wei Chang; Fengxiu Zhang; Michin Hong; Chang-Tien Lu; Hemant Purohit; Jin-Hee Cho (CoRR, 2025)

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models. - Minqian Liu; Zhiyang Xu; Xinyi Zhang 007; Heajun An; Sarvech Qadir; Qi Zhang 104; Pamela J. Wisniewski; Jin-Hee Cho; Sang Won Lee; Ruoxi Jia 001; Lifu Huang (CoRR, 2025)

Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. - Qi Zhang 104; Dian Chen; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (CoRR, 2025)