6, pp. ‪Graduate Center, City University of New York‬ - ‪880 lần trích dẫn‬ - ‪Social Networks‬ - ‪Text Mining‬ - ‪Applied Psychometrics‬ - ‪Big Data‬ - ‪Computational Psychology‬ 2200 - 2211, 2018. (MC job generator). Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2015. (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. Ph.D. Thesis in CpE at UCF, 2020 (Co-advisor: Haoyi Xiong at Missouri S&T and Baidu Inc.) Current Ph. On the Criticality of Probabilistic Worst-Case Execution Time Models. (Advisor: Prof. Sanjoy Baruah), Zhishan Guo. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Xin Han and Zhishan Guo. Zhishan Guo. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. 2, pp. 14-19, 2004. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. ... University of Central Florida, USA. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016. De-biasing Covariance-Regularized Discriminant Analysis, DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms, Sustainability in Mixed-Criticality Scheduling, AWDA: An Adaptive Wishart Discriminant Analysis, On the Criticality of Probabilistic Worst-Case Execution Time Models, Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation, Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling, Response Time in Mixed-Critical Pervasive Systems, Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems, Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks, Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine, Mixed-criticality scheduling to minimize makespan, Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems, Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors, MC-Fluid: simplified and optimally quantified, The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems, EDF schedulability analysis on mixed-criticality systems with permitted failure probability, Uniprocessor EDF scheduling of AVR task systems, Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor, Mixed-criticality scheduling upon varying-speed multiprocessors, Graph Regularized Dual Lasso for Robust eQTL Mapping, Mixed-criticality scheduling upon varying-speed processors, Flexible and Robust Co-regularized Multi-Domain Graph Clustering, Mixed-criticality scheduling upon non-monitored varying-speed processors, Metric learning from relative comparisons by minimizing squared residual, Information retrieval from large data sets via multiple-winners-take-all, Control allocation of flying-wing with multi-effectors based on TS fuzzy model, A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions, Parametric sensitivity and scalability of k-winners-take- all networks, An effective dimension reduction approach in Chinese document classification using Genetic Algorithm, Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties, A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization, GARDS: Generalized Autonomous Robotic Delivery System, A Deep Learning Strategy for I/O Scheduling in Storage Systems, Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines, Use of probabilities and formal methods to control system criticality levels, RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage, Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems, Guaranteeing some service upon mode switch in mixed-criticality systems, Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests, Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate, Mixed-criticality job models: a comparison, MC Scheduling on Varying-Speed Processors, Scheduling mixed-criticality workloads upon unreliable processors. 30, issue 12, pp. Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics. Proceedings of the 28th EuroMicro Conference on Real-Time Systems (ECRTS), Toulouse, France, July 2016. UCF-101-24 is a subset of UCF-101 with 24 labels and 3207 videos; we use the cleaned bounding box annotations from [39]. AWDA: An adaptive wishart discriminant analysis, Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems, Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities, Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases, CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data, COMO: Widening Deep Neural Networks with COnvolutional MaxOut, On Generating Dominators of Customer Preferences, FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. [J17] Ashikahmed Bhuiyan^, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. 02/20/2018 ∙ by Jiang Bian, et al. B Arnetz, L Barnes, D Bhatia, J Bian, P Bonato, P Chen, Y Chen, Y Chen, ... New articles related to this author's research, Principal Architect & Research Scientist, Baidu, Assistant Professor at University of Central Florida, Assistant Professor, University of Central Florida, Missouri University of Science and Technology (formerly University of Missouri, Rolla), Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill), Mininglamp Academy of Sciences; ex. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. Sustainability in Mixed-Criticality Scheduling. 30, no. 4, pp. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. Sabin Regmi, Md Mofazzel Hosen, Barun Ghosh, Bahadur Singh, Gyanendra Dhakal, Christopher Sims, Baokai Wang, Firoza Kabir, Klauss Dimitri, Yangyang Liu, Amit Agarwal, Hsin Lin, Dariusz Kaczorowski, Arun Bansil, Madhab Neupane, Temperature Dependent Electronic Structure in a Higher Order Topological Insulator Candidate EuIn 2 As 2; Phys. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. The following articles are merged in Scholar. ‪Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)‬ - ‪Cited by 8,940‬ - ‪Deep Learning‬ - ‪Machine Learning‬ - ‪Data Mining‬ - ‪Big Data‬ - ‪Bioinformatics‬ [C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. 3, 2020. Mixed-criticality scheduling to minimize makespan. The research team included Wang, Ivan Hernandez of Northwestern University, Daniel A. Newman of the University of Illinois at Urbana-Champaign, Jibo He of Wichita State University, and Jiang Bian of the University of Florida. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. [C23] Sudharsan Vaidhun^, Samsil Arefin, Zhishan Guo, Haoyi Xiong and Sajal K. Das. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017. THU and ICRC at TRECVID 2007. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. [C32] Luca Santinelli and Zhishan Guo. 2: Runtime information and model accuracy. [J24] Haoyi Xiong, Kafeng Wang, Jiang Bian^, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, Dejing Dou. [C1] Zhishan Guo, Li Lu, Shijia Xi, and Fuchun Sun. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. [J1] Wenbing Xu and Zhishan Guo. Corresponding Author. About Us. 2932-2939, Barcelona, Spain, July 2010. [J2] Zhishan Guo, Qingshan Liu, and Jun Wang. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. Zhishan Guo. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. [J11] Ashikahmed Bhuiyan^, Zhishan Guo, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. [C15] Zhishan Guo and Sanjoy Baruah. 2283 - 2295, 2019. [J6] James J. Crowley, et al. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. [C2] Jun Wang and Zhishan Guo. Mixed-Criticality Real-Time Systems. Dec. 2016. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. 26, pp. CASS: Criticality-Aware Standby-Sparing for real-time systems. The system can't perform the operation now. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear, 2020. Fig. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. 10, pp. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems. 55, no. (b) Impact of percentage of participants on model accuracy.) Jinhui Yuan, et al. Zhishan Guo's 4 research works with 3 citations and 66 reads, including: Understanding the Impact of COVID-19 Intervention Policies on the Hospitality Labor Market [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. [C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. Beijing’s parks and museums including the ancient Forbidden City have reopened to the public after being closed for months by the coronavirus pandemic. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. University of Florida, USA. Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS), Lille, France, Nov. 2015. (Pitch Talk, Full Presentation). VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. Jiang has 7 jobs listed on their profile. (DAG Task Generator, Artifact Evaluated). Use of probabilities and formal methods to control system criticality levels. Yingyu Liang, et al. [C41] Ashikahmed Bhuiyan`^, Zhishan Guo`, Sai Sruti`, and Kecheng Yang`. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. An effective dimension reduction approach in Chinese document classification using Genetic Algorithm. The benefits and harms of lung cancer screening in Florida (Bian, Guo) NIH/NCI 1R01CA246418-01, 01/01/2020 - 12/31/2023 Role: Principal Investigator (Contact PI) Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. Information retrieval from large data sets via multiple-winners-take-all. 2097 - 2111, 2020. 1, issue 2, pp. (MC task generator, Artifact Evaluated). 1892-1900, 2011. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. Nature Genetics, vol. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks, Sampling Sparse Representations with Randomized Measurement Langevin Dynamics, Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information, Efficient Feasibility Analysis for Graph-based Real-Time Task Systems, CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data, COMO: Widening Deep Neural Networks with COnvolutional MaxOut, Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries, MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems, Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core, MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning, Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores, Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning, CASS: Criticality-Aware Standby-Sparing for real-time systems, DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing, Energy-Efficient Real-Time Scheduling of DAG Tasks, A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF, Near-Optimal Incentive Allocation for Piggyback Crowdsensing, A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility, Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering, Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance, Implementing mixed-criticality systems upon a preemptive varying-speed processor, Graph regularized dual lasso for robust eQTL mapping, A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization, A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints, VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets, Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay, The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems, F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor, Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning, CPU Energy-Aware Parallel Real-Time Scheduling, Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading, Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling, Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities, On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms, On Generating Dominators of Customer Preferences, SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System, Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems, Outstanding Paper Award, Best Student Paper Award, Mixed Criticality Scheduling of Probabilistic Real-Time Systems, Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed, EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness, Model-Free Temporal Difference Learning for Non-Zero-Sum Games, Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms, Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate, An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling, Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. faculty member at Missouri S&T, Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis, CSWA: Aggregation-free spatial-temporal community sensing. Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, USA, July 2014, [C9] Sanjoy Baruah` and Zhishan Guo`. University of Central Florida, USA. [C4] Yi Guo, Fuchun Sun, and Zhishan Guo. Proceeding of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019. AWDA: An Adaptive Wishart Discriminant Analysis. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. 3:1-3:19. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. In the event of increasing number of traffic on roads, it … Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. 128-129, 2015. (3) and (14) to 8 and the distance parameter din Eq. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ Zhishan Guo. Proceedings of the 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), San Francisco, USA, Aug. 2017. [C40] Kecheng Yang and Zhishan Guo. Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. (Code, Artifact Evaluated). Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. ∙ 0 ∙ share read it. 320, Orlando, FL 32816, USA. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. Jiang Bian. View Jiang Bian’s profile on LinkedIn, the world's largest professional community. THU and ICRC at TRECVID 2008. EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. Graph Regularized Dual Lasso for Robust eQTL Mapping. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. A Deep Learning Strategy for I/O Scheduling in Storage Systems. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. On Computing Exact WCRT for DAG Task. 47, no. [C6] Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. Ying Zhang^, Lingxiang Wang, Wei Jiang, and Zhishan Guo. Graph regularized dual lasso for robust eQTL mapping. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. (Best Paper Award). 14, no. Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. MC Scheduling on Varying-Speed Processors. 30, no. [J3] Qingshan Liu, Zhishan Guo, and Jun Wang. 9, pp. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning. D. student of Computer Engineering, UCF Verified email at knights.ucf.edu. [C19] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. (Followup work is reported in this MS thesis). [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. 3735 - 3747, 2019. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. [C10] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. [C11] Zhishan Guo and Sanjoy Baruah. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. [C8] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017. We set the Gaussian parameter ˙in Eqs. Practice in the Implementation of a Bachelor of General Studies Degree in the College of Undergraduate Studies at the University of Central Florida, Devon Cadwell Bazata. 353-360, 2015. Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), to appear, March 2021. 5, issue 3, pp. (Outstanding Paper Award, Best Student Paper Award). Proceedings of the 14th IEEE International Conference On Embedded Software and Systems (ICESS), Sydney, Australia, Aug. 2017. [C7] Zhishan Guo and Sanjoy Baruah. [J8] Zhishan Guo and Sanjoy Baruah. ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). International Conference on Embedded Software (EMSOFT), Sept. 2020. Zhishan Guo. Metric learning from relative comparisons by minimizing squared residual. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. Send all defense notices to the College of Graduate Studies at editor@ucf.edu | Graduate Thesis and Dissertation Defenses at the University of Central Florida | UCF Events [C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. Mixed-criticality job models: a comparison. UNC-Chapel Hill Ph.D. Thesis, 2016. The ones marked, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, S Yang, J Bian, L Wang, H Zhu, Y Fu, H Xiong, H Xiong, W Cheng, J Bian, W Hu, Z Sun, Z Guo, IEEE transactions on neural networks and learning systems 30 (3), 707-717, Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo, 2017 IEEE International Conference on Data Mining (ICDM), 525-534, J Bian, H Xiong, W Cheng, W Hu, Z Guo, Y Fu, 2017 IEEE International Conference on Data Mining (ICDM), 745-750, 2019 IEEE Real-Time Systems Symposium (RTSS), 568-571, H Xiong, K Wang, J Bian, Z Zhu, CZ Xu, Z Guo, J Huan, Proceedings of the AAAI Conference on Artificial Intelligence 33, 5516-5524, S Vaidhun, Z Guo, J Bian, H Xiong, SK Das, 2020 12th International Conference on Advanced Computational Intelligence …, S Yang, H Xiong, K Xu, L Wang, J Bian, Z Sun, J Bian, S Yang, H Xiong, L Wang, Y Fu, Z Sun, Z Guo, J Wang, IEEE Transactions on Emerging Topics in Computational Intelligence, B Zhao, H Xiong, J Bian, Z Guo, CZ Xu, D Dou, ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-22, J Bian, W Wang, X Zhang, W Wang, A Huang, Z Guo, 2019 IEEE International Conference on Big Data (Big Data), 2177-2186. Proceeding of the 3rd International Conference on Mechanical and Electrical Technology (ICMET), Dalian, China, Aug. 2011. 707 - 717, 2019. [C44] Li Li*, Haoyi Xiong*, Jun Wang, Chengzhong Xu, and Zhishan Guo. (Advisor: Prof. Jun Wang), Zhishan Guo. IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear, 2021. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. [C13] Zhishan Guo and Sanjoy Baruah. JIANG BIAN | Orlando, Florida | Student at University of Central Florida | 48 connections | View JIANG's homepage, profile, activity, articles Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Mixed Criticality Scheduling of Probabilistic Real-Time Systems. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. April 2015. [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. Jasdeep Singh, Luca Santinelli, Zhishan Guo, Julien Brunel, David Doose, and Guillaume Infantes. [C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. In Cyber-Physical Systems: A Reference, Springer, 2019. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. Zhishan Guo and Sanjoy Baruah. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. Zhishan Guo*`, Rui Liu*`, Xinghao Xu*` and Kecheng Yang*`. 12, pp. "On Generating Dominators of Customer Preferences," IEEE International Conference on … Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems. Proceedings of IEEE International Conference on Cloud Computing (CLOUD), San Francisco, USA, July 2018. Leibniz Transactions on Embedded Systems (LITES), vol. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, Oct. 2017. CPU Energy-Aware Parallel Real-Time Scheduling. PDF access and copyright: The copyrights to many of the publications listed here belong to the publishers. Authors: Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Yihong Gong, Nanning Zheng, Jingdong Wang Subjects: Computer Vision and Pattern Recognition (cs.CV) [29] arXiv:1310.4389 [ pdf , other ] ‪Mininglamp Academy of Sciences; ex. Objective: To investigate the clinical effect and application value of the modified method of prepuce-degloving repair( PDR) in the treatment of urethrocutaneous fistula( UCF) following hypospadias surgery. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019. Department of Mechanical, Materials and Aerospace Engineering, University of Central Florida, Orlando, Florida 32816‐2450 † Author to whom correspondence should be addressed. 2669-2672, Rio de Janeiro, Brazil, May 2011. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. Mixed-criticality scheduling upon non-monitored varying-speed processors. 85. [J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, and Laura E. Barnes.

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