Publications

PDF access and copyright: The copyrights to many of the publications listed here belong to the publishers. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes.
(underline denotes the first author is/was a student/postdoc in my lab, '*' indicates alphabetical order and/or equal contribution.)


Books and Book Chapters

Zhishan Guo and Sanjoy Baruah. Mixed-Criticality Real-Time Systems. In Cyber-Physical Systems: A Reference, Springer, 2019.

Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Algorithms CS2500. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018.


Journal Papers

[J31] Jiang Bian*, Abdullah Al Arafat*, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Dejing Dou, Jun Wang, and Zhishan Guo. Machine Learning in Real-Time Internet of Things Systems, IEEE Internet of Things Journal (IoT-J), to appear, 2022.

[J30] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal K. Das. Dynamic Path Planning for Unmanned Aerial Vehicles under Deadline and Sector Capacity Constraints, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2021.

[J29] Arthur Huang, Tyler Fisher, Huiling Ding, and Zhishan Guo. A Network Analysis of Cross-Occupational Skill Transferability for the Hospitality Industry, International Journal of Contemporary Hospitality Management, to appear, 2021.

[J28] Xingwu Liu, Xin Han, Liang Zhao, Zhishan Guo. Narrowing the Speedup Factor Gap of Partitioned-EDF, Information and Computation (I&C), to appear, 2021.

[J27] Zhishan Guo, Sudharsan Vaidhun, Luca Satinelli, Samsil Arefin, Jun Wang, and Kecheng Yang. Mixed-Criticality Scheduling upon Permitted Failure Probability and Dynamic Priority, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 1, pp-62-75, 2022.

[J26] Ashikahmed Bhuiyan, Kecheng Yang, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Mixed-Criticality Real-Time Scheduling of Gang Task Systems, Real-Time Systems, vol. 57, pp. 268 - 301, 2021.

[J25] Yang Wang, Jiang Xu, Nan Guan, Zhishan Guo, Xue Liu, and Wang Yi. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 32, no. 6, pp. 1322 - 1339, 2021.

[J24] Kafeng Wang*, Haoyi Xiong*, Jiang Bian*, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, and Dejing Dou. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 15, no. 2, 2021.

[J23] Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, and Jun Wang. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), vol. 5, no. 4, pp 541 - 553, 2021.

[J22] Haoyi Xiong*, Jiang Bian*, Zhishan Guo, Chengzhong Xu, and Dejing Dou. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. IEEE Transactions on Multimedia (TMM), vol. 23, pp. 1722 - 1730, 2021.

[J21] Ashikahmed Bhuiyan*, Federico Reghenzani*, William Fornaciari, and Zhishan Guo. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 11, pp. 3906 - 3917, 2020.

[J20] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 11, pp. 3385 - 3397, 2020.

[J19] Arthur Huang, Christos Makridis, Baker Christos, Medeiros Mark, and Zhishan Guo. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. International Journal of Hospitality Management, 91(102660), 2020.

[J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. Electronics 2020, 9(7), 1130, 2020.

[J17] Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 31, no. 9, pp. 2097 - 2111, 2020.

[J16] Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 14, no. 3, 2020.

[J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 30, no. 10, pp. 2283 - 2295, 2019.

[J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 12, pp. 3735 - 3747, 2019.

[J13] Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, and Zhishan Guo. CASS: Criticality-Aware Standby-Sparing for real-time systems. Journal of Systems Architecture, Volume 100, 101661, 2019.

[J12] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, and Zhishan Guo. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 3, pp. 707 - 717, 2019.

[J11] Ashikahmed Bhuiyan, Zhishan Guo, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. Energy-Efficient Real-Time Scheduling of DAG Tasks. ACM Transactions on Embedded Computing Systems (TECS), vol. 17, issue 5, pp. 27 - 52, 2018. (DAG Task Generator, Artifact Evaluated)

[J10] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 37, issue 11, pp. 2200 - 2211, 2018.

[J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, and Laura E. Barnes. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. IEEE Communications Magazine, vol. 55, no. 6, pp. 120-125, 2017.

[J8] Zhishan Guo and Sanjoy Baruah. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 27, no. 2, pp. 238-248, 2016.

[J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 10, no. 4, pp. 1-27, 2016.

[J6] James J. Crowley, et al. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Nature Genetics, vol. 47, no. 4, pp. 353-360, 2015. (News reports - Genetically speaking, mammals are more like their fathers: i, ii, iii, iv)

[J5] Zhishan Guo and Sanjoy Baruah. Implementing mixed-criticality systems upon a preemptive varying-speed processor. Leibniz Transactions on Embedded Systems (LITES), vol. 1, issue 2, pp. 3:1-3:19. Leibniz-Zentrum fur Informatik, 2014.

[J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Graph regularized dual lasso for robust eQTL mapping. Bioinformatics, vol. 30, issue 12, pp. i139-i148, 2014.

[J3] Qingshan Liu, Zhishan Guo, and Jun Wang. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. Neural Networks (NN), vol. 26, pp. 99-109, 2012.

[J2] Zhishan Guo, Qingshan Liu, and Jun Wang. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. IEEE Transactions on Neural Networks (TNNLS), vol. 22, no. 12, pp. 1892-1900, 2011.

[J1] Wenbing Xu and Zhishan Guo. Three-failure match. Mathematics in Practice and Theory (in Chinese), vol. 34, no. 11, pp. 14-19, 2004.


Conference Publications

[C69] Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, and Zhishan Guo. Time Series Prediction with Anomaly-Aware Recurrent Neural Networks.Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Sept. 2022.

[C68] Abdullah Al Arafat, Kurt Wilson, Sudharsan Vaidhun, Jinghao Sun, and Zhishan Guo. Response Time Analysis for Dynamic Priority Scheduling in ROS2.. Proceedings of 59th Design Automation Conference (DAC), July 2022.

[C67] Ashkan Farhangi, Ning Sui, Nan Hua, Haiyan Bai, Arthur Huang, and Zhishan Guo. Protoformer: Embedding Prototypes for Transformers.. Proceeding of 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2022.

[C66] Md Sanzid Bin Hossain, Hwan Choi, and Zhishan Guo. Estimating Lower Extremity Joint Angles During Gait Using Reduced Number of Sensors Count Via Deep Learning.. Proceeding of 14th International Conference on Digital Image Processing (ICDIP), May 2022.

[C65] Federico Reghenzani, Zhishan Guo, William Fornaciari, and Luca Santinelli. A Mixed Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements.. Proceeding of 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), May 2022.

[C64] Ashkan Farhangi, Arthur Huang, Zhishan Guo. A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19. . Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, Jan. 2022. (Best Paper Candidate, Decision Analytics and Service Science Track)

[C63] Ashikahmed Bhuiyan*, Federico Reghenzani*, Zhishan Guo, and William Fornaciari. A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors. . Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS), Dortmund, Germany, Dec. 2021.

[C62] Jinghao Sun, Nan Guan, Zhishan Guo, Yekai Xue, Jing He and Guozhen Tan. Calculating Worst-Case Response Time Bound for OpenMP Programs with Loop Structures. . Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS), Dortmund, Germany, Dec. 2021.

[C61] Xingwu Liu, Zizhao Chen, Xin Han, Zhenyu Sun and Zhishan Guo. Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks. . Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS), Dortmund, Germany, Dec. 2021.

[C60] Tianning She, Zhishan Guo, Qijun Gu, and Kecheng Yang. Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks . Proceedings of the 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp. 104-109, Aug. 2021.

[C59] Tianning She*, Sudharsan Vaidhun*, Qijun Gu, Sajal Das, Zhishan Guo, and Kecheng Yang. Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors . Proceedings of the 29th International Conference on Real-Time Networks and Systems (RTNS), Apr. 2021. (Related Code)

[C58] Abdullah Arafat, Zhishan Guo, and Amro Awad. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), to appear, March 2021.

[C57] Kunal Agrawal*, Sanjoy Baruah*, Zhishan Guo*, Jing Li*, and Sudharsan Vaidhun*. Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. (Artifect-Evaluated Code)

[C56] Kunal Agrawal*, Sanjoy Baruah*, Zhishan Guo*, and Jing Li*. The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. (Pitch Talk, Full Presentation)

[C55] Kecheng Yang, Ashikahmed Bhuiyan, and Zhishan Guo. F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020.

[C54] Ashikahmed Bhuiyan*, Federico Reghenzani*, William Fornaciari, and Zhishan Guo. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. International Conference on Embedded Software (EMSOFT), Sept. 2020.

[C53] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. International Conference on Embedded Software (EMSOFT), Sept. 2020. (Best Paper Award)

[C52] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, and Wang Yi. On Computing Exact WCRT for DAG Task. Proceedings of the 57th Design Automation Conference (DAC), San Francisco, US, July 2020.

[C51] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. CPU Energy-Aware Parallel Real-Time Scheduling. Proceedings of the 32th Euromicro Conference on Real-Time Systems (ECRTS), Modena, Italy, June 2020.

[C50] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. Proceeding of 26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Sydney, Australia, Apr. 2020.

[C49] Zhishan Guo, Kecheng Yang, Fan Yao, and Amro Awad. Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020.

[C48] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal Das. Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020.

[C47] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo, and Wang Yi. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020.

[C46] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, and Zhishan Guo. Mixed Criticality Scheduling of Probabilistic Real-Time Systems. Proceeding of the 10th European Congress on Embedded Real Time Software and Systems, Jan. 2020, Toulouse, France.

[C45] Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. On Generating Dominators of Customer Preferences. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019.

[C44] Li Li*, Haoyi Xiong*, Zhishan Guo*, Jun Wang, and Chengzhong Xu. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020.

[C43] Ashikahmed Bhuiyan*, Kecheng Yang*, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. (Outstanding Paper Award, Best Student Paper Award)

[C42] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose, Zhishan Guo. Mixed Criticality Scheduling of Probabilistic Real-Time Systems. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019.

[C41] Ashikahmed Bhuiyan*, Zhishan Guo*, Sai Sruti*^, and Kecheng Yang*. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019.

[C40] Kecheng Yang and Zhishan Guo. EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. Proceeding of 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, Aug. 2019.

[C39] Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, and Donald Wunsch. Model-Free Temporal Difference Learning for Non-Zero-Sum Games. Proceeding of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019.

[C38] Zhishan Guo*, Ashikahmed Bhuiyan*, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. 2019.

[C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. SpHMC: Spectral Hamiltonian Monte Carlo. Proceeding of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, USA, Feb. 2019.

[C36] Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal Das, and Haoyi Xiong. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018.(Code, Artifact Evaluated)

[C35] Xin Han, Liang Zhao, Zhishan Guo, and Xingwu Liu. An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018.

[C34] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. International Conference on Embedded Software (EMSOFT), Torino, Italy, Oct. 2018.

[C33] Zhishan Guo, Luca Santinelli, and Kecheng Yang. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Beijing, China, Sept. 2018.

[C32] Luca Santinelli and Zhishan Guo. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018.

[C31] Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Yanjie Fu, and Zhishan Guo. De-biasing Covariance-Regularized Discriminant Analysis. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018.

[C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. Proceedings of IEEE International Conference on Cloud Computing (CLOUD), San Francisco, USA, July 2018.

[C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. Sustainability in Mixed-Criticality Scheduling. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017.

[C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. AWDA: An Adaptive Wishart Discriminant Analysis. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017.

[C27] Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. Multi-Party Sparse Discriminant Learning. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017.

[C26] Luca Santinelli and Zhishan Guo. On the Criticality of Probabilistic Worst-Case Execution Time Models. Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, Oct. 2017.

[C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017.

[C24] Ying Zhang, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. Proceedings of the 14th IEEE International Conference On Embedded Software and Systems (ICESS), Sydney, Australia, Aug. 2017. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part)

[C23] Sudharsan Vaidhun, Samsil Arefin, Zhishan Guo, Haoyi Xiong and Sajal K. Das. Response Time in Mixed-Critical Pervasive Systems. Proceedings of the 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), San Francisco, USA, Aug. 2017.

[C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017.

[C21] Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. (DAG Task Generator, Artifact Evaluated)

[C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine. Proceedings of the 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, June 2017.

[C19] Sanjoy Baruah*, Arvind Easwaran*, and Zhishan Guo*. Mixed-criticality scheduling to minimize makespan. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. Dec. 2016. Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics.

[C18] Luca Santinelli, Zhishan Guo, and Laurent George. Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016.

[C17] Sanjoy Baruah*, Alan Burns*, and Zhishan Guo*. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. Proceedings of the 28th EuroMicro Conference on Real-Time Systems (ECRTS), Toulouse, France, July 2016. (MC task generator, Artifact Evaluated)

[C16] Sanjoy Baruah*, Arvind Easwaran*, and Zhishan Guo*. MC-Fluid: simplified and optimally quantified. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), San Antonio, USA, Dec. 2015.

[C15] Zhishan Guo and Sanjoy Baruah. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems. Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS), Lille, France, Nov. 2015.

[C14] Zhishan Guo*, Luca Santinalli*, and Kecheng Yang*. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2015.

[C13] Zhishan Guo and Sanjoy Baruah. Uniprocessor EDF scheduling of AVR task systems. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA. April 2015.

[C12] Sanjoy Baruah* and Zhishan Guo*. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014.

[C11] Zhishan Guo and Sanjoy Baruah. Mixed-criticality scheduling upon varying-speed multiprocessors. Proceedings of the 12th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), Dalian, China, Aug. 2014.

[C10] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Graph Regularized Dual Lasso for Robust eQTL Mapping. Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, USA, July 2014

[C9] Sanjoy Baruah* and Zhishan Guo*. Mixed-criticality scheduling upon varying-speed processors. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. (MC job generator)

[C8] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. Flexible and Robust Co-regularized Multi-Domain Graph Clustering. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, U.S.A., Aug. 2013.

[C7] Zhishan Guo and Sanjoy Baruah. Mixed-criticality scheduling upon non-monitored varying-speed processors. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013.

[C6] Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. Metric learning from relative comparisons by minimizing squared residual. Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 978-983, Dec. 2012.

[C5] Zhishan Guo and Jun Wang. Information retrieval from large data sets via multiple-winners-take-all. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2669-2672, Rio de Janeiro, Brazil, May 2011.

[C4] Yi Guo, Fuchun Sun, and Zhishan Guo. Control allocation of flying-wing with multi-effectors based on TS fuzzy model. Proceeding of the 3rd International Conference on Mechanical and Electrical Technology (ICMET), Dalian, China, Aug. 2011.

[C3] Zhishan Guo and Jun Wang. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. Proceedings of International Joint Conference of Neural Networks (IJCNN), pp. 2932-2939, Barcelona, Spain, July 2010.

[C2] Jun Wang and Zhishan Guo. Parametric sensitivity and scalability of k-winners-take- all networks. Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010.

[C1] Zhishan Guo, Li Lu, Shijia Xi, and Fuchun Sun. An effective dimension reduction approach in Chinese document classification using Genetic Algorithm. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009.


Theses

Zhishan Guo. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. UNC-Chapel Hill Ph.D. Thesis, 2016. (Advisor: Prof. Sanjoy Baruah)

Zhishan Guo. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. Chinese University of Hong Kong M.Phil Thesis, 2011. (Advisor: Prof. Jun Wang)

Zhishan Guo. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun)


Other Publications

[O20] Ashkan Farhangi, Zhishan Guo, Dexter Hadley, Analia Castiglioni, and Denise Kay. Can Artificial Intelligence Address the Burden Associated with Scoring Narrative Assessments? . International Association of Medical Science Educators Annual Meeting (IAMSE), Oral Session Denvor, CO, June 2022.

[O19] Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, Guozhen Tan. Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. . Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS), Industry Challenge Dortmund, Germany, Dec. 2021. (Best Solution Award)

[O18] Md Sanzid Bin Hossain, Hwan Choi, and Zhishan Guo. An Ensemble Machine Learning Approach for the Estimation of Lower Extremity Kinematics Using Shoe-Mounted IMU Sensors. Proceedings of the Gait and Clinical Movement Analysis Society Annual Meeting (GCMAS), Poster Session, Apr. 2021.

[O17] Md Sanzid Bin Hossain, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020.

[O16] Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. GARDS: Generalized Autonomous Robotic Delivery System. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020.

[O15] Ashkan Farhangi*, Jiang Bian*, Jun Wang, and Zhishan Guo. A Deep Learning Strategy for I/O Scheduling in Storage Systems. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019.

[O14] Sai Sruti, Ashikahmed Bhuiyan, and Zhishan Guo. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018.

[O13] Xin Han and Zhishan Guo. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018.

[O12] Jasdeep Singh, Luca Santinelli, Zhishan Guo, Julien Brunel, David Doose, and Guillaume Infantes. Use of probabilities and formal methods to control system criticality levels. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018.

[O11] Ying Zhang, Lingxiang Wang, Wei Jiang, and Zhishan Guo. RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage. Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. 2018. (Followup work is reported in this MS thesis)

[O10] Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017.

[O9] Zhishan Guo. Guaranteeing some service upon mode switch in mixed-criticality systems. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017.

[O8] Zhishan Guo. Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017.

[O7] Zhishan Guo. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016.

[O6] Sanjoy Baruah and Zhishan Guo. Mixed-criticality job models: a comparison. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015.

[O5] Zhishan Guo*, Rui Liu*, Xinghao Xu* and Kecheng Yang*. A Survey of Real-Time Automotive Systems. Department of Computer Science Technical Report, University of North Carolina at Chapel Hill, 2015

[O4] Zhishan Guo. MC Scheduling on Varying-Speed Processors. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. 5, issue 3, pp. 128-129, 2015.

[O3] Alexandra French, Zhishan Guo, and Sanjoy Baruah. Scheduling mixed-criticality workloads upon unreliable processors. The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France, June 2013.

[O2] Yingyu Liang, et al. THU and ICRC at TRECVID 2008. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008.

[O1] Jinhui Yuan, Zhishan Guo, et al. THU and ICRC at TRECVID 2007. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007.


Errata list

Errata list