Zelin Wan

20 papers B 2Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning.
CoRR
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2025 J jnl
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications.
CoRR
Dian Chen, Han Jun Yoon, Zelin Wan, Nithin Alluru, Sang Won Lee, Richard He, Terrence J. Moore, Frederica F. Nelson, Sunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025 J jnl
DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System.
CoRR
Zelin Wan, Han Jun Yoon, Nithin Alluru, Terrence J. Moore, Frederica F. Nelson, Seunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025 J jnl
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning.
CoRR
Dian Chen, Zelin Wan, Dong Sam Ha, Jin-Hee Cho
2024 J jnl
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning.
Inf. Fusion
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024 J jnl
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning.
CoRR
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2024 J jnl
Optimizing Effectiveness and Defense of Drone Surveillance Missions via Honey Drones.
ACM Trans. Internet Techn.
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023 B conf
Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches.
MobiHoc
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023 J jnl
Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception.
IEEE Trans. Netw. Serv. Manag.
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2022 J jnl
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning.
CoRR
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang
2022 J jnl
Diversity-by-Design for Dependable and Secure Cyber-Physical Systems: A Survey.
IEEE Trans. Netw. Serv. Manag.
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
2022 J jnl
Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory.
IEEE Trans. Netw. Serv. Manag.
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2022 B conf
Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory.
GLOBECOM
Ahmed H. Anwar, Mu Zhu, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021 J jnl
A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning.
IEEE Commun. Surv. Tutorials
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021 J jnl
A Survey on Centrality Metrics and Their Network Resilience Analysis.
IEEE Access
Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2021 J jnl
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats.
CoRR
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2021 J jnl
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey.
CoRR
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021 J jnl
Joint rate maximization of downlink and uplink in NOMA SWIPT systems.
Phys. Commun.
Shufeng Li, Zelin Wan, Libiao Jin
2020 J jnl
A Survey on Centrality Metrics and Their Implications in Network Resilience.
CoRR
Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2020 J jnl
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey.
CoRR
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore