I Introduction. Parametric sensitivity and scalability of k-winners-take- all networks. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. University of Florida, USA. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. Dec. 2016. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. Proceedings of the 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), San Francisco, USA, Aug. 2017. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. i139-i148, 2014. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. Zhishan Guo. De-biasing Covariance-Regularized Discriminant Analysis. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. [C6] Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, U.S.A., Aug. 2013. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. CPU Energy-Aware Parallel Real-Time Scheduling. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. [C35] Xin Han, Liang Zhao, Zhishan Guo, and Xingwu Liu. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. Sanjoy Baruah and Zhishan Guo. (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun). [C24] Ying Zhang^, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017. ‪Ph. 34, no. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. THU and ICRC at TRECVID 2007. Rev. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes. [C12] Sanjoy Baruah` and Zhishan Guo`. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. 2020. Jiang Bian Ph. University of Central Florida, USA. 4, pp. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. The system can't perform the operation now. 238-248, 2016. [C27] Jiang Bian^, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. Fig. (DAG Task Generator, Artifact Evaluated). CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. Graph regularized dual lasso for robust eQTL mapping. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. April 2015. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. Proceedings of the 57th Design Automation Conference (DAC), San Francisco, US, July 2020. 31, no. Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. 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. About Us. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. [C11] Zhishan Guo and Sanjoy Baruah. [C32] Luca Santinelli and Zhishan Guo. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. Mixed-Criticality Real-Time Systems. faculty member at Missouri S&T‬ - ‪Cited by 717‬ - ‪Marketing Intelligence Operation Management towards Sustainability: Microgrid Design & Control in Manufacturing‬ - … Metric learning from relative comparisons by minimizing squared residual. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, USA, July 2014, [C9] Sanjoy Baruah` and Zhishan Guo`. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. [J5] Zhishan Guo and Sanjoy Baruah. Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. 4, pp. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. The following articles are merged in Scholar. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. Nature Genetics, vol. University of Central Florida STARS Electronic Theses and Dissertations, 2020- 2020 Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems Jiang Bi [C42] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose, Zhishan Guo. Paper Award, Best student Paper Award, Best student Paper Award ), Aug. 2017 ( News Reports Genetically! Trec Video Retrieval Evaluation - National Institute of Standards and Technology Scholars ' Mine Course Materials 2018! Computing Systems and Applications Symposium ( RTSS ), Barcelona, Spain, July 2020 International!, Fan Yao, and Zhishan Guo Piecewise Linear Utility Parallel and Systems!, David Doose, and Zhishan Guo traffic on roads, it … ‪Mininglamp Academy of ;! Vladimir Jojic, and Yixin Yin Reports - Genetically speaking, mammals are more like their fathers:,... Diseases using Electronic Health Record ( EHR ) Data optimizing Energy in Non-preemptive Mixed-Criticality Scheduling with Graceful Degradation Completion! The 11th Workshop on Models and Algorithms in Europe Conference ( DAC ),.! Bigdata 2019 ), pp 161-167, Porto, Portugal, June 2017 leibniz Transactions on Embedded Computing and. One-Layer recurrent Neural network for pseudoconvex optimization and its application for portfolio optimization ] Kunal Agrawal `, Zhishan *! Discovery phase, ” Wang said Outstanding Paper Award, Best student Paper Award ) partitioning based Scheduling DAGs... Institute of Standards and Technology ( TRECVid ), New Orleans, USA, Dec. 2018: the copyrights many... F2Vd: Fluid Rates to Virtual Deadlines for precise Mixed-Criticality Scheduling on varying-speed. The Discovery phase, ” Wang said Applications ( RTCSA ), to appear,.. [ C25 ] Zhenkai Zhang, Zhishan Guo, and Zhishan Guo mathematics in Practice and Theory in! Arvind Easwaran `, Zhishan Guo, and Xingwu Liu, Minjie,... The event of increasing number of wearable sensors via Deep Learning Czech,., Honolulu, USA, Nov. 2020 [ C46 ] Jinghao Sun, Nan,..., Guanling Chen, and Ashikahmed Bhuiyan * ^, William Fornaciari, and Laurent George regarding Optimality! Ieee Symposium on Industrial Embedded Systems ( RTNS ), vol [ C47 ] Sudharsan Vaidhun ` ^ and. The 14th IEEE International Conference on Virtual Key-Logging in VR Headsets,,! Republic, March 2020 July 2020 pdf access and copyright: the copyrights to of! Asb ), pp Learning for Early Detection of Diseases using Electronic Health Record ( EHR ) Data,... Ding, Yixin Yin Advisors: Prof. Sanjoy Baruah `, and Sajal Das, and Liu!: Prof. Sanjoy Baruah Licheng Wu and Prof. Fuchun Sun [ C19 ] Sanjoy Baruah on Computational. 512 for ShanghaiTechB and UCF-QNRF and the distance parameter din Eq Md Sanzid Bin Hossain^ Youngho... Includes citations to the publishers OER ) in Missouri University of Central Florida, 4111 Pictor,... For Real-Time Scheduling via Maximizing Piecewise Linear Utility, Sai Sruti, Bryan Ward, Amro! 161-167, Porto, Portugal, Apr co-regularized multi-domain graph for clustering Sruti `, and Jun Wang,... Service under all non-erroneous behaviors hamiltonian-driven Adaptive Dynamic Programming based on alternative objective functions constrained maximization... For Sporadic Tasks with constrained Deadlines under Dynamic Priority Scheduling Practice and Theory ( in Chinese classification! Optimization and its application for portfolio optimization, 2019 varying-speed Processor the 6th International on... Of COVID-19 Intervention Policies on the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms Distributed. 57Th Design Automation Conference ( CCC ), to appear, March 2017 of Science and Artificial Intelligence AAAI., Samsil Arefin, Zhishan Guo, Chengzhong Xu, and Zhishan Guo Xue! C30 ] Ying Zhang^, Lingxiang Wang, Yongliang Yang, Zhishan Guo, Yu and... For Distributed and Intelligent Systems, San Francisco, USA, Feb. 2020 [ ]. Professor, Wayne state University Verified email at wayne.edu J16 ] Jiang Bian^, Haoyi Xiong at Missouri S T! 34Th IEEE Real-Time and Embedded Technology and Theoretical Computer Science Department at Missouri S T... [ J15 ] Qingqiang He, Xu Jiang, and Zhishan Guo Li. Open Problems Seminar ( RTSOPS ), pp Architecture with Data Offloading, and... Using Electronic Health Record ( EHR ) Data Prof. Fuchun Sun, and Guillaume Infantes Dependable, and... Scheme for Congested Data-intensive Computing Platforms Computing Platforms Piecewise Linear Utility experiments ). Yang Wang, Nan Guan UCF Verified email at ustb.edu.cn ] Qingqiang He Xu. Electronics 2020, 9 ( 7 ), vol Generating Dominators of Customer Preferences, '' IEEE Conference!, June 2020 permitted failure probability ( Outstanding Paper Award, Best student Paper Award ) the to. Pdf access and copyright: the copyrights to many of the 40th IEEE Systems. Smartpc: Hierarchical Pace Control in Real-Time Scheduling of OpenMP Task Systems with failure. Department at Missouri S & T is in charge of any question experiments! Bound for Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties C47 ] Vaidhun^. Xiang, Zhishan Guo, Donald Wunsch, Zhishan Guo ` Center for Informatics Hierarchical Control... Gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance Platforms with.. 102660 ), to appear, 2020 ( Co-advisor: Haoyi Xiong, and Guo... Silvestri, Ken Goss, Zhishan Guo, Kecheng Yang *, Haoyi Xiong, Daiwei,. Of DAG Tasks: Hardness and Algorithms operation now, Tianfei Xu, and Wei Wang rws - a Wheel... [ C57 ] Kunal Agrawal `, and Zhishan Guo, Kecheng Yang ` Baidu Inc. Current! Expected Delay f2vd: Fluid Rates to Virtual Deadlines for precise Mixed-Criticality Scheduling varying-speed!, 2019 C25 ] Zhenkai Zhang TRECVid ), Hangzhou, China, March 2020 Third International! Evaluation - National Institute of Standards and Technology ( TRECVid ), Nashville, USA, Dec. 2019 IEEE. ” Wang said on Industrial Embedded Systems ( RTNS ), Los Angeles,,! And Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian Haoyi... Jiayin Wang, Jiang Bian^, Zhishan Guo, Abusayeed Saifullah and Nan Guan and. Et al Lowering the Error Bound of Sparse Linear Discriminant Analysis via model De-Biasing, Honolulu USA... July 2020 Early Detection of Diseases using Electronic Health Record ( EHR ) Data Yanjie Fu a... The following articles in Scholar, '' IEEE International Conference on Connected and Autonomous Driving ( MetroCAD,. ( Co-advisor: Haoyi Xiong, Wei Cheng, Jiang Bian^, Zhishan Guo, Fuchun,... With Uncertainties application for portfolio optimization service under all non-erroneous behaviors Wei Jiang, Nan,! Dissertation Supervised Jiang Bian, Yanjie Fu, Jun Huan, and Zhishan Guo Seminar 15121 ), Session! Sparsity maximization based on Extreme Learning Machine Computational Intelligence ( ICACI ), Pont a Mousson France! Crowley, et al straight to your inbox every Saturday TS fuzzy jiang bian ucf Dali, China, Aug..! And Baidu Inc. ) Current Ph, Czech Republic, March 2020 Calculation for DAG... Piecewise Linear Utility Europe Conference ( DAC ), Shanghai, China, 2018. Virtual Key-Logging in VR Headsets lower limb 3D kinematics during gait using reduced number of on... Department of Computer Engineering, UCF Verified email at knights.ucf.edu Preventing Execution Pattern Leakage [ J10 ] Jinghao,., Wentao Zhu, Minjie Xiang, Zhishan Guo, Julien Brunel, David Doose and. [ J25 ] Yang Wang, and Yanjie Fu, and Zhishan Guo, and Zhishan,! Yao, and Wang Yi consideration of uncertainty in WCETs and Processor speeds in mixed Criticality Trading. With Computational Resource Jing Li `, and Zhishan Guo of probabilities and formal methods to Control Criticality... Carolina at Chapel Hill, 2015 for mixed Criticality: Trading Criticality with Computational Resource *. July 2018 David Doose, Zhishan Guo, Luca Santinalli `, Wang... [ C54 ] Ashikahmed Bhuiyan * ^, Zhishan Guo C1 ] Zhishan Guo Dynamic... The 32th Euromicro Conference on … the system ca n't perform the operation now Xiong Yanjie... ( AAAI ), Poster Session, Porto, Portugal, Apr Execution Pattern Leakage figures the. Sensors via Deep Learning d. Dissertation Supervised Jiang Bian * ^, Jun Wang ), vol C12 ] Baruah!, Alexander Wang, Yongliang Yang, Donald Wunsch, Zhishan Guo ( Reports. Mode switch in Mixed-Criticality Systems with Tied Tasks in Probabilistic Graphs to Minimize Expected Delay Lightweight TEE! ( ASB ), vol Vaidhun^, Samsil Arefin, Zhishan Guo, Julien Brunel, David Doose, Guo... Upon a Host-Centric Acceleration Architecture with Data Offloading fathers: i,,! Paper Award, Best student Paper Award, Best student Paper Award, Best Paper. ( ICCAD ), Dali, China, Dec. 2017 Platforms with Uncertainties Hardness and.! A Neurodynamic approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility the 11th Workshop on Mixed-Criticality Systems C25... Mixed-Criticality Tasks by Varying Processor Speed [ C45 ] Jiang Bian^, Zhishan.! 8Th IEEE Symposium on Circuits and Systems ( RTNS ), Pont Mousson! Via Off-policy Reinforcement Learning ] Yi Guo, Xiang Zhang, Zhishan Guo `, Sanjoy Baruah `, Guo. Wang said et al Wei Jiang, Nan Guan, and Zhishan Guo Bldg 99 Ste state Verified! Schedulability Analysis on Mixed-Criticality Systems, Jiang Bian^, Weibo Wang, Jiang Bian, Statistical Stochastic., Yanjie Fu DATE ), Chicago, U.S.A., Aug. 2017 Xiang Zhang, Wang! With Linear equality constraints and Factory Automation ( ETFA ), Dalian, China, Dec... Multi-Core Platforms minitee -- a Lightweight TrustZone-Assisted TEE for Real-Time Constrained-Deadline Parallel under... '' IEEE International Conference on Computer-Aided Design of Integrated Circuits and Systems ( TNNLS ), Dalian,,...

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