Qi Zhang

According to our database, Qi Zhang authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

StagePilot: A Deep Reinforcement Learning Agent for Stage-Controlled Cybergrooming Simulation.

Heajun An, Qi Zhang, Minqian Liu, Xinyi Zhang, Sang Won Lee, Lifu Huang, Pamela J. Wisniewski, Jin-Hee Cho

CoRR, February, 2026

Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization.

Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

IEEE Trans. Netw. Sci. Eng., 2026

X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection.

Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances.

Xinyi Zhang, Mamtaj Akter, Heajun An, Minqian Liu, Qi Zhang, Lifu Huang, Jin-Hee Cho, Pamela J. Wisniewski, Sang Won Lee

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

StagePilot Artifacts.

Heajun An, Qi Zhang, Minqian Liu, Xinyi Zhang, Sang Won Lee, Lifu Huang, Pamela J. Wisniewski, Jin-Hee Cho

Dataset, October, 2025

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models.

Minqian Liu, Zhiyang Xu, Xinyi Zhang, Heajun An, Sarvech Qadir, Qi Zhang, Pamela J. Wisniewski, Jin-Hee Cho, Sang Won Lee, Ruoxi Jia, Lifu Huang

CoRR, April, 2025

SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment.

Shutonu Mitra, Tomas Neguyen, Qi Zhang, Hyungmin Kim, Hossein Salemi, Chen-Wei Chang, Fengxiu Zhang, Michin Hong, Chang-Tien Lu, Hemant Purohit, Jin-Hee Cho

CoRR, March, 2025

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research.

Heajun An, Marcos Silva, Qi Zhang, Arav Singh, Minqian Liu, Xinyi Zhang, Sarvech Qadir, Sang Won Lee, Lifu Huang, Pamela Wisnieswski, Jin-Hee Cho

CoRR, March, 2025

fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning.

Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Proceedings of the IEEE International Conference on Data Mining, 2025

Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning.

Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

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, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Inf. Fusion, January, 2024

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization.

Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

CoRR, 2024

Towards Inclusive Cybersecurity: Protecting the Vulnerable with Social Cyber Vulnerability Metrics.

Shutonu Mitra, Qi Zhang, Chen-Wei Chang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Chang-Tien Lu, Jin-Hee Cho

Proceedings of the 5th IEEE International Conference on Trust, 2024

Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic.

Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho

Proceedings of the IEEE International Conference on Big Data, 2024

Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance.

Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2024

2023

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

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

CoRR, 2023

Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning.

Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho

Proceedings of the IEEE International Conference on Web Services, 2023

2022

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, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang

CoRR, 2022