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Dynamic budget management and budget reclamation for mixed-criticality systems., and . Real Time Syst., 55 (3): 552-597 (2019)Schedulability analysis and low-criticality execution support for mixed-criticality real-time systems on uniprocessors. Nanyang Technological University, Singapore, (2018)Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems., and . CoRR, (2020)Dynamic Budget Management with Service Guarantees for Mixed-Criticality Systems., and . RTSS, page 47-56. IEEE Computer Society, (2016)Design and Analysis for Dual Priority Scheduling., , and . ISORC, page 164-173. IEEE Computer Society, (2018)Towards safe machine learning for CPS: infer uncertainty from training data., and . ICCPS, page 249-258. ACM, (2019)A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding., , , , and . DATE, page 92-95. IEEE, (2022)Hierarchical Weight Averaging for Deep Neural Networks., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (9): 12276-12287 (September 2024)Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling., , , and . CoRR, (2020)Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems., and . ACM Trans. Embed. Comput. Syst., 17 (1): 24:1-24:24 (2018)