Jin-Hee Cho
Virginia Polytechnic Institute and State University
H-index: 36
North America-United States
Top articles of Jin-Hee Cho
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning | arXiv preprint arXiv:2402.06023 | Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H Anwar Charles Kamhoua | 2024/2/8 |
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization | arXiv preprint arXiv:2404.18826 | Qi Zhang Lance M Kaplan Audun Jøsang Dong Hyun Jeong Feng Chen | 2024/4/29 |
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty | arXiv preprint arXiv:2404.10980 | Changbin Li Kangshuo Li Yuzhe Ou Lance M Kaplan Audun Jøsang | 2024/4/17 |
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms | arXiv preprint arXiv:2402.10280 | Dian Chen Paul Yang Ing-Ray Chen Dong Sam Ha Jin-Hee Cho | 2024/2/15 |
Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches | Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H Anwar Charles Kamhoua | 2023/10/23 | |
Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks | Yash Mahajan Zhen Guo Jin-Hee Cho Ing-Ray Chen | 2023 | |
Machine learning-based intrusion detection for smart grid computing: A survey | ACM Transactions on Cyber-Physical Systems | Nitasha Sahani Ruoxi Zhu Jin-Hee Cho Chen-Ching Liu | 2023/4/19 |
Attack-resistant, energy-adaptive monitoring for smart farms: Uncertainty-aware deep reinforcement learning approach | IEEE Internet of Things Journal | Qisheng Zhang Dian Chen Yash Mahajan Ray Chen Dong Sam Ha | 2023/6/16 |
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making | Xujiang Zhao Chen Zhao Feng Chen Jin-Hee Cho Haifeng Chen | 2023/8/6 | |
A survey on attacks and their countermeasures in deep learning: Applications in deep neural networks, federated, transfer, and deep reinforcement learning | IEEE Access | Haider Ali Dian Chen Matthew Harrington Nathaniel Salazar Mohannad Al Ameedi | 2023/10/20 |
Subjective Bayesian Network-based Interdependent Mission Impact Assessment with Game-Theoretic Attack-Defense Interactions | Authorea Preprints | Han Jun Yoon Ashrith Reddy Thukkaraju Shou Matsumoto Jair Feldens Ferrari Dongwhan Lee | 2023/12/7 |
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation | Dong H Jeong Jin-Hee Cho Feng Chen Audun Jøsang Soo-Yeon Ji | 2023/3/11 | |
Performance impact analysis of services under a time-based moving target defense mechanism | The Journal of Defense Modeling and Simulation | Júlio Mendonça Jin-Hee Cho Terrence J Moore Frederica F Nelson Hyuk Lim | 2023/1 |
Multi-Label Temporal Evidential Neural Networks for Early Event Detection | Xujiang Zhao Xuchao Zhang Chen Zhao Jin-Hee Cho Lance Kaplan | 2023/6/4 | |
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models | Barry Menglong Yao Aditya Shah Lichao Sun Jin-Hee Cho Lifu Huang | 2023 | |
Interdependent Mission Impact Assessment of an IoT System with Hypergame-Theoretic Attack-Defense Behavior Modeling | Ashrith Reddy Thukkaraju Han Jun Yoon Shou Matsumoto Jair Feldens Ferrari Donghwan Lee | 2023/10/16 | |
Energy-Adaptive, Robust Monitoring for Solar Sensor-based Smart Farms Under Adversarial Attacks | Dian Chen Qisheng Zhang Ing Ray Chen Dong Ha Jin-Hee Cho | 2023/11/9 | |
Uncertainty-aware reward-based deep reinforcement learning for intent analysis of social media information | arXiv preprint arXiv:2302.10195 | Zhen Guo Qi Zhang Xinwei An Qisheng Zhang Audun Jøsang | 2023/2/19 |
EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning | Qisheng Zhang Jin-Hee Cho Terrence J Moore Dan Dongseong Kim Hyuk Lim | 2023/5/29 | |
ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning | Rui Ning Jiang Li Chunsheng Xin Chonggang Wang Xu Li | 2023/7/18 |