| A survey on uncertainty reasoning and quantification for decision making: Belief theory meets deep learning Z Guo, Z Wan, Q Zhang, X Zhao, F Chen, JH Cho, Q Zhang, LM Kaplan, ... arXiv preprint arXiv:2206.05675, 2022 | 9 | 2022 |
| Vulnerability-aware resilient networks: Software diversity-based network adaptation Q Zhang, JH Cho, TJ Moore, R Chen IEEE Transactions on Network and Service Management 18 (3), 3154-3169, 2020 | 8 | 2020 |
| Diversity-by-design for dependable and secure cyber-physical systems: A survey Q Zhang, AZ Mohammed, Z Wan, JH Cho, TJ Moore IEEE Transactions on Network and Service Management 19 (1), 706-728, 2021 | 7 | 2021 |
| Attack-resistant, energy-adaptive monitoring for smart farms: Uncertainty-aware deep reinforcement learning approach Q Zhang, D Chen, Y Mahajan, R Chen, DS Ha, JH Cho IEEE Internet of Things Journal, 2023 | 5 | 2023 |
| Uncertainty-aware reward-based deep reinforcement learning for intent analysis of social media information Z Guo, Q Zhang, X An, Q Zhang, A Jøsang, LM Kaplan, F Chen, DH Jeong, ... arXiv preprint arXiv:2302.10195, 2023 | 4 | 2023 |
| DREVAN: deep reinforcement learning-based vulnerability-aware network adaptations for resilient networks Q Zhang, JH Cho, TJ Moore, FF Nelson 2021 IEEE Conference on Communications and Network Security (CNS), 137-145, 2021 | 3 | 2021 |
| Network resilience under epidemic attacks: deep reinforcement learning network topology adaptations Q Zhang, JH Cho, TJ Moore 2021 IEEE Global Communications Conference (GLOBECOM), 1-7, 2021 | 2 | 2021 |
| A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning Z Guo, Z Wan, Q Zhang, X Zhao, Q Zhang, LM Kaplan, A Jøsang, ... Information Fusion, 101987, 2023 | 1 | 2023 |
| Detecting intents of fake news using uncertainty-aware deep reinforcement learning Z Guo, Q Zhang, Q Zhang, LM Kaplan, A Jøsang, F Chen, DH Jeong, ... 2023 IEEE International Conference on Web Services (ICWS), 722-724, 2023 | 1 | 2023 |
| EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning Q Zhang, JH Cho, TJ Moore, DD Kim, H Lim, F Nelson International Conference on Applied Cryptography and Network Security, 555-582, 2023 | 1 | 2023 |
| An attack-resilient and energy-adaptive monitoring system for smart farms Q Zhang, Y Mahajan, R Chen, DS Ha, JH Cho GLOBECOM 2022-2022 IEEE Global Communications Conference, 2776-2781, 2022 | 1 | 2022 |
| Infinitely Deep Graph Transformation Networks L Zhang, Q Zhang, Z Chen, Y Sun, CT Lu, L Zhao 2023 IEEE International Conference on Data Mining (ICDM), 778-787, 2023 | | 2023 |
| PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration Q Zhang, Z Guo, A Jøsang, LM Kaplan, F Chen, DH Jeong, JH Cho arXiv preprint arXiv:2212.06343, 2022 | | 2022 |
Jin-Hee ChoComputer Science Department, Virginia TechVerified email at vt.edu
