Publications

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('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.)


Books and Book Chapters

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


Journal Papers

[J14] 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), to appear, 2019.

[J13] 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), to appear, 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

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

[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.

[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.

[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

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.

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.

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.

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)

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.

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.

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.

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.

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.

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

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.

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.

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

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