| 2025 | Kurt M. Wilson and Abdullah Al Arafat and John Baugh and Ruozhou Yu and Zhishan Guo: Physics‑Informed Mixed‑Criticality Scheduling for F1Tenth Cars with Preemptable ROS 2 Executors. RTAS. 2025. 215--227 |
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| 2025 | Jinghao Sun and Xisheng Li and Mingyang Gong and Nan Guan and Zhishan Guo and Mingsong Chen and Jun Zhao and Qingxu Deng: Soteria: A Formal Digital‑Twin‑Enabled Framework for Safety‑Assurance of Latency‑Aware Cyber‑Physical Systems. In: HSCC (special issue), 22, 2025, 22:1--22:11 |
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| 2024 | Xisheng Li and Jinghao Sun and Jiarui Wang and Kailu Duan and Mingsong Chen and Nan Guan and Zhishan Guo and Qingxu Deng and Yong Xie: Connecting the physical space and cyber space of autonomous systems more closely. In: Real‑Time Systems, 60, 2024, 413--442 |
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| 2024 | Zhishan Guo and Marc Boyer: From cache and memory management to WCET analysis. In: Real‑Time Systems, 60, 2024, 535--536 |
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| 2023 | Sudharsan Vaidhun and Tianning She and Qijun Gu and Sajal K. Das and Zhishan Guo and Kecheng Yang: Precise Mixed‑Criticality Scheduling on Varying‑Speed Multiprocessors. In: IEEE Transactions on Computers, 72, 2023, 43--54 |
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| 2023 | Tarek Abdelzaher and Kunal Agrawal and Sanjoy K. Baruah and Alan Burns and Robert I. Davis and Zhishan Guo and Yigong Hu: Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification. In: Real‑Time Systems, 59, 2023, 348--407 |
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| 2023 | Federico Reghenzani and Zhishan Guo and William Fornaciari: Software Fault Tolerance in Real‑Time Systems: Identifying the Future Research Questions. In: ACM Computing Surveys, 55, 2023, 306:1--306:30 |
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| 2023 | Shomir Lazar and Amal Miran and Ali Kheradmand and Zhishan Guo and Anil Gehi: Wearable Motion Capture and Machine Learning for Personalizing Gait‑Based Assessment in Cardiac Patients. In: IEEE Journal of Biomedical and Health Informatics, 27, 2023, 5345--5356 |
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| 2022 | Federico Reghenzani and Zhishan Guo and Luca Santinelli and William Fornaciari: A Mixed‑Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements. RTAS. 2022. 27--39 |
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| 2021 | Federico Reghenzani and Ashikahmed Bhuiyan and William Fornaciari and Zhishan Guo: A Multi‑Level DPM Approach for Real‑Time DAG Tasks in Heterogeneous Processors. RTSS. 2021. 14--26 |
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| 2020 | Ashikahmed Bhuiyan and Federico Reghenzani and William Fornaciari and Zhishan Guo: Optimizing Energy in Non‑Preemptive Mixed‑Criticality Scheduling by Exploiting Probabilistic Information. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39, 2020, 3906--3917 |
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| 2020 | Kunal Agrawal and Sanjoy K. Baruah and Zhishan Guo and Jing Li: The Safe and Effective Application of Probabilistic Techniques in Safety‑Critical Systems. ICCAD. 2020. 24:1--24:9 |
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| 2019 | Kecheng Yang and Zhishan Guo: EDF‑Based Mixed‑Criticality Scheduling with Graceful Degradation by Bounded Lateness. RTCSA. 2019. 1--6 |
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| 2019 | Zhishan Guo and Ashikahmed Bhuiyan and Di Liu and Aamir Khan and Abusayeed Saifullah and Nan Guan: Energy‑Efficient Real‑Time Scheduling of DAGs on Clustered Multi‑Core Platforms. RTAS. 2019. 156--168 |
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| 2019 | Zhishan Guo and Sanjoy K. Baruah: Mixed-Criticality Real-Time Systems. Cyber-Physical Systems: A Reference. Springer, 2019. |
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| 2017 | Zhishan Guo and Ashikahmed Bhuiyan and Abusayeed Saifullah and Nan Guan and Haoyi Xiong: Energy‑Efficient Multi‑Core Scheduling for Real‑Time DAG Tasks. ECRTS. 2017. 22:1--22:21 |
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| 2017 | Haoyi Xiong and Daqing Zhang and Zhishan Guo and Guanling Chen and Laura E. Barnes: Near‑Optimal Incentive Allocation for Piggyback Crowdsensing. In: IEEE Communications Magazine, 55, 2017, 120--125 |
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| 2016 | Zhishan Guo and Sanjoy K. Baruah: A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. In: IEEE Transactions on Neural Networks and Learning Systems, 27, 2016, 238--248 |
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| 2016 | Wei Cheng and Zhishan Guo and Xiang Zhang and Wei Wang: CGC: A Flexible and Robust Approach to Integrating Co‑Regularized Multi‑Domain Graph for Clustering. In: ACM Transactions on Knowledge Discovery from Data, 10, 2016, 46:1--46:27 |
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| 2015 | Sanjoy K. Baruah and Arvind Easwaran and Zhishan Guo: {MC‑Fluid}: Simplified and Optimally Quantified. IEEE Real‑Time Systems Symposium (RTSS). 2015. 327--337 |
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| 2014 | Wei Cheng and Xiang Zhang and Zhishan Guo and Yu Shi and Wei Wang: Graph-regularized dual Lasso for robust eQTL mapping. In: Bioinformatics, 30, 2014, 139--148 |
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| 2014 | Zhishan Guo and Sanjoy K. Baruah: Implementing Mixed-criticality Systems Upon a Preemptive Varying-speed Processor. In: Leibniz Transactions on Embedded Systems, 1, 2014, 03:1--03:19 |
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| 2014 | Sanjoy K. Baruah and Zhishan Guo: Scheduling Mixed‑Criticality Implicit‑Deadline Sporadic Task Systems upon a Varying‑Speed Processor. IEEE Real‑Time Systems Symposium (RTSS). 2014. 68--77 |
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| 2012 | Qingshan Liu and Zhishan Guo and Jun Wang: A one‑layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. In: Neural Networks, 26, 2012, 99--109 |
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| 2011 | Zhishan Guo and Qingshan Liu and Jun Wang: A One‑Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. In: IEEE Transactions on Neural Networks, 22, 2011, 1892--1900 |
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