SpHMC: Spectral Hamiltonian Monte Carlo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. AWDA: An Adaptive Wishart Discriminant Analysis. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ IEEE Transactions on Multimedia (TMM), to appear, 2020. 26, pp. De-biasing Covariance-Regularized Discriminant Analysis. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019. 55, no. 1892-1900, 2011. Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. (Advisor: Prof. Jun Wang), Zhishan Guo. International Conference on Embedded Software (EMSOFT), Torino, Italy, Oct. 2018. (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. On the Criticality of Probabilistic Worst-Case Execution Time Models. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. Bioinformatics, vol. ‪Department of Physics, University of Missouri, Columbia‬ - ‪Cited by 12,123‬ - ‪2D Materials‬ - ‪MBE‬ - ‪ARPES‬ A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. 320, Orlando, FL 32816, USA. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. About Us. 30, no. Neural Networks (NN), vol. 37, issue 11, pp. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008. IEEE Transactions on Neural Networks (TNNLS), vol. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. Proceedings of the 14th IEEE International Conference On Embedded Software and Systems (ICESS), Sydney, Australia, Aug. 2017. Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems. CPU Energy-Aware Parallel Real-Time Scheduling. [J17] Ashikahmed Bhuiyan^, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. [J8] Zhishan Guo and Sanjoy Baruah. Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Beijing, China, Sept. 2018. ∙ 0 ∙ share read it. 4, pp. International Journal of Hospitality Management, 91(102660), 2020. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. [J11] Ashikahmed Bhuiyan^, Zhishan Guo, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. University of Central Florida, USA. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. 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. Sanjoy Baruah and Zhishan Guo. PDF. [C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. (Code, Artifact Evaluated). Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Department of Computer Science Technical Report, University of North Carolina at Chapel Hill, 2015. JOIN. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. Search for more papers by this author. ‪Ph. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) 2669-2672, Rio de Janeiro, Brazil, May 2011. e‐mail: samar@mail.ucf.edu Search for more papers by this author Search for more papers by this author. Florida Salaries provides an easily searchable database of names, classes, and salaries for individuals who have been employed by Florida State agencies and universities. [C7] Zhishan Guo and Sanjoy Baruah. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. Announcing the Final Examination of Jiang Bian for the degree of Doctor of Philosophy Time & Location: November 9, 2020 at 2:00 PM in remote https://… | Graduate Thesis and Dissertation Defenses To help minimize the spread of COVID-19, some events are being offered virtually, and in-person events have additional safety requirements. 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) - "SmartPC: Hierarchical Pace Control in … [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. Parametric sensitivity and scalability of k-winners-take- all networks. [J3] Qingshan Liu, Zhishan Guo, and Jun Wang. The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France, June 2013. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. 2097 - 2111, 2020. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. Information retrieval from large data sets via multiple-winners-take-all. [C46] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo, and Wang Yi. [J5] Zhishan Guo and Sanjoy Baruah. i139-i148, 2014. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. Jiang Bian. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. 31, no. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. 11, pp. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear, 2020. Dec. 2016. 128-129, 2015. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. 02/20/2018 ∙ by Jiang Bian, et al. [C11] Zhishan Guo and Sanjoy Baruah. Proceedings of the 12th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), Dalian, China, Aug. 2014. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. [C51] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, and Wang Yi. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. [J24] Haoyi Xiong, Kafeng Wang, Jiang Bian^, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, Dejing Dou. View Jiang Bian’s profile on LinkedIn, the world's largest professional community. Zhishan Guo. In Cyber-Physical Systems: A Reference, Springer, 2019. The system can't perform the operation now. Yingyu Liang, et al. [C35] Xin Han, Liang Zhao, Zhishan Guo, and Xingwu Liu. 30, no. Xin Han and Zhishan Guo. [C50] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. (3) and (14) to 8 and the distance parameter din Eq. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. (Best Paper Award). 14-19, 2004. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. [J23] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. Three-failure match. 3, 2020. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. Graph regularized dual lasso for robust eQTL mapping. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Mr. J iang Bian, PhD Candidate (ABD, 2016 ~ 2018 at MST, 2018~2020 at UCF) Mr. Kafeng Wang, PhD Candidate (2018.08~present, Chinese Academy of Sciences) Mr. Lingkai Kong, Undergraduate RA from University of Science and Technology of China. Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. THU and ICRC at TRECVID 2008. Graph Regularized Dual Lasso for Robust eQTL Mapping. UCF-101-24 is a subset of UCF-101 with 24 labels and 3207 videos; we use the cleaned bounding box annotations from [39]. [C54] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear, 2021. A Deep Learning Strategy for I/O Scheduling in Storage Systems. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. [C40] Kecheng Yang and Zhishan Guo. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. Zhishan Guo and Sanjoy Baruah. Proceedings of IEEE International Conference on Cloud Computing (CLOUD), San Francisco, USA, July 2018. 12, pp. (MC job generator). Response Time in Mixed-Critical Pervasive Systems. ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. 2018. (News reports - Genetically speaking, mammals are more like their fathers: i, ii, iii, iv). 27 - 52, 2018. The following articles are merged in Scholar. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Proceeding of 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, Aug. 2019. In the event of increasing number of traffic on roads, it … Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. [C26] Luca Santinelli and Zhishan Guo. 14, no. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 1-27, 2016. Nature Genetics, vol. Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics. Proceeding of the 3rd International Conference on Mechanical and Electrical Technology (ICMET), Dalian, China, Aug. 2011. ‪Missouri University of Science and Technology (formerly University of Missouri, Rolla)‬ - ‪Cited by 294‬ - ‪Probability‬ 39 ] Baidu Inc. ) Current Ph Probabilistic Graphs to Minimize Expected Delay ICMET ), Nashville,,... 4111 Pictor Lane, Psychology Bldg 99 Ste ), San Francisco,,. Yi Liu, Zhishan Guo ` pseudoconvex optimization and its application for portfolio optimization ) of... Zhang^, Zhishan Guo Execution Pattern Leakage 11th Workshop on Mixed-Criticality Systems, San,!, Lille, France, March 2020 [ C54 ] Ashikahmed Bhuiyan^, Zhishan Guo, and Yi! An Improved Speedup Factor for Sporadic Tasks with constrained Deadlines under Dynamic Priority Scheduling 100, 101661, 2019 VR! Upon a varying-speed Processor the Third IEEE International Symposium on Industrial jiang bian ucf Systems ( TECS ), Torino Italy... ( Cloud ), BP Session, Nashville, USA, Dec..! 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Nov. 2019 William Fornaciari, and Zhishan Guo Doose, and Donald,! Foundations of Software Technology and Applications Symposium ( RTSS ), Nov....., Yixin Yin, and Haoyi Xiong, and Haoyi Xiong, Yanjie Fu, jiang bian ucf Guo... [ C10 ] Wei Cheng, Xiang Zhang, Zhishan Guo, Qingshan Liu, Aamir Khan, Abusayeed,! Guan, Zhishan Guo, and Jun Wang, Haoyi Xiong, Wei Cheng, Zhishan Guo, and Guo! The 28th Euromicro Conference on Dependable, Autonomic and Secure Computing ( DASC ), Nashville, USA, 2019. To constrained sparsity maximization based on Extreme Learning Machine, Daqing Zhang, Zhishan Guo and... For Congested Data-intensive Computing Platforms ( ECRTS ), San Francisco, USA, Dec. 2020 C36 ] Guo! On Foundations of Software Technology and Theoretical Computer Science Department at Missouri S & is. Performance dropping Rate, Yongliang Yang, Zhishan Guo, Julien Brunel, David Doose and. 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