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(2025). <a href=\"https://doi.org/10.48550/ARXIV.2505.15391\">https://doi.org/10.48550/ARXIV.2505.15391</a>","bibtex":"@article{InTreeger: An End-to-End Framework for Integer-Only Decision Tree Inference_2025, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2505.15391\">10.48550/ARXIV.2505.15391</a>}, year={2025} }","ama":"InTreeger: An End-to-End Framework for Integer-Only Decision Tree Inference. 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(2025). <a href=\"https://doi.org/10.48550/ARXIV.2501.06367\">https://doi.org/10.48550/ARXIV.2501.06367</a>"},"status":"public","year":"2025","title":"Resilient Endurance-Aware NVM-based PUF against Learning-based Attacks"},{"date_updated":"2026-07-05T14:47:43Z","citation":{"ieee":"“WCDT: Systematic WCET Optimization for Decision Tree Implementations,” 2025, doi: <a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">10.48550/ARXIV.2501.17428</a>.","apa":"<i>WCDT: Systematic WCET Optimization for Decision Tree Implementations</i>. (2025). <a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">https://doi.org/10.48550/ARXIV.2501.17428</a>","chicago":"“WCDT: Systematic WCET Optimization for Decision Tree Implementations,” 2025. <a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">https://doi.org/10.48550/ARXIV.2501.17428</a>.","short":"(2025).","mla":"<i>WCDT: Systematic WCET Optimization for Decision Tree Implementations</i>. 2025, doi:<a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">10.48550/ARXIV.2501.17428</a>.","bibtex":"@article{WCDT: Systematic WCET Optimization for Decision Tree Implementations_2025, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">10.48550/ARXIV.2501.17428</a>}, year={2025} }","ama":"WCDT: Systematic WCET Optimization for Decision Tree Implementations. Published online 2025. doi:<a href=\"https://doi.org/10.48550/ARXIV.2501.17428\">10.48550/ARXIV.2501.17428</a>"},"title":"WCDT: Systematic WCET Optimization for Decision Tree Implementations","year":"2025","status":"public","doi":"10.48550/ARXIV.2501.17428","user_id":"128464","type":"journal_article","_id":"66162","date_created":"2026-07-03T21:10:24Z"},{"date_updated":"2026-07-05T14:48:45Z","publication_status":"published","intvolume":"        61","title":"Shielded reinforcement learning for fault-tolerant scheduling in real-time systems","year":"2025","author":[{"last_name":"Shi","first_name":"Junjie","full_name":"Shi, Junjie"},{"full_name":"Chen, Kuan-Hsun","first_name":"Kuan-Hsun","last_name":"Chen"}],"publication_identifier":{"issn":["0922-6443","1573-1383"]},"doi":"10.1007/s11241-025-09441-z","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\n          <jats:p>Reinforcement Learning (RL) has emerged as a promising tool for decision-making in various applications, particularly in uncertain environments. While its adoption in embedded systems—especially hard real-time systems—faces challenges due to stringent timing constraints, integrating shielding mechanisms may offer a pathway for RL to optimize its scheduling decisions, preserving worst-case timing guarantees. This position paper shows a use case where RL selects compliant execution versions for fault-tolerant real-time systems while minimizing the system utilization in runtime. Furthermore, we discuss possible directions for further exploring RL’s role in real-time systems for improved adaptability.</jats:p>"}],"issue":"2","publication":"Real-Time Systems","type":"journal_article","date_created":"2026-07-03T21:07:18Z","status":"public","user_id":"128464","volume":61,"page":"306-310","publisher":"Springer Science and Business Media LLC","_id":"66147","citation":{"mla":"Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for Fault-Tolerant Scheduling in Real-Time Systems.” <i>Real-Time Systems</i>, vol. 61, no. 2, Springer Science and Business Media LLC, 2025, pp. 306–10, doi:<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>.","ama":"Shi J, Chen K-H. Shielded reinforcement learning for fault-tolerant scheduling in real-time systems. <i>Real-Time Systems</i>. 2025;61(2):306-310. doi:<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>","bibtex":"@article{Shi_Chen_2025, title={Shielded reinforcement learning for fault-tolerant scheduling in real-time systems}, volume={61}, DOI={<a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>}, number={2}, journal={Real-Time Systems}, publisher={Springer Science and Business Media LLC}, author={Shi, Junjie and Chen, Kuan-Hsun}, year={2025}, pages={306–310} }","apa":"Shi, J., &#38; Chen, K.-H. (2025). Shielded reinforcement learning for fault-tolerant scheduling in real-time systems. <i>Real-Time Systems</i>, <i>61</i>(2), 306–310. <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">https://doi.org/10.1007/s11241-025-09441-z</a>","ieee":"J. Shi and K.-H. Chen, “Shielded reinforcement learning for fault-tolerant scheduling in real-time systems,” <i>Real-Time Systems</i>, vol. 61, no. 2, pp. 306–310, 2025, doi: <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">10.1007/s11241-025-09441-z</a>.","chicago":"Shi, Junjie, and Kuan-Hsun Chen. “Shielded Reinforcement Learning for Fault-Tolerant Scheduling in Real-Time Systems.” <i>Real-Time Systems</i> 61, no. 2 (2025): 306–10. <a href=\"https://doi.org/10.1007/s11241-025-09441-z\">https://doi.org/10.1007/s11241-025-09441-z</a>.","short":"J. Shi, K.-H. Chen, Real-Time Systems 61 (2025) 306–310."}},{"issue":"1","publication":"ACM Transactions on Cyber-Physical Systems","citation":{"mla":"Chen, Kuan-Hsun, et al. “Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2.” <i>ACM Transactions on Cyber-Physical Systems</i>, vol. 9, no. 1, Association for Computing Machinery (ACM), 2025, pp. 1–2, doi:<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>.","ama":"Chen K-H, Li J, Reghenzani F, Chen J-J. Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2. <i>ACM Transactions on Cyber-Physical Systems</i>. 2025;9(1):1-2. doi:<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>","bibtex":"@article{Chen_Li_Reghenzani_Chen_2025, title={Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2}, volume={9}, DOI={<a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>}, number={1}, journal={ACM Transactions on Cyber-Physical Systems}, publisher={Association for Computing Machinery (ACM)}, author={Chen, Kuan-Hsun and Li, Jing and Reghenzani, Federico and Chen, Jian-Jia}, year={2025}, pages={1–2} }","apa":"Chen, K.-H., Li, J., Reghenzani, F., &#38; Chen, J.-J. (2025). Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2. <i>ACM Transactions on Cyber-Physical Systems</i>, <i>9</i>(1), 1–2. <a href=\"https://doi.org/10.1145/3712019\">https://doi.org/10.1145/3712019</a>","ieee":"K.-H. Chen, J. Li, F. Reghenzani, and J.-J. Chen, “Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2,” <i>ACM Transactions on Cyber-Physical Systems</i>, vol. 9, no. 1, pp. 1–2, 2025, doi: <a href=\"https://doi.org/10.1145/3712019\">10.1145/3712019</a>.","short":"K.-H. Chen, J. Li, F. Reghenzani, J.-J. 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