[C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. 320, Orlando, FL 32816, USA. [C41] Ashikahmed Bhuiyan`^, Zhishan Guo`, Sai Sruti`, and Kecheng Yang`. Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine. Sai Sruti^, Ashikahmed Bhuiyan, and Zhishan Guo. Model-Free Temporal Difference Learning for Non-Zero-Sum Games. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 2: Runtime information and model accuracy. [C49] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. 10, no. Graph Regularized Dual Lasso for Robust eQTL Mapping. SpHMC: Spectral Hamiltonian Monte Carlo. [C3] Zhishan Guo and Jun Wang. 22, no. Proceedings of the 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, June 2017. [J6] James J. Crowley, et al. Yingyu Liang, et al. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020. An effective dimension reduction approach in Chinese document classification using Genetic Algorithm. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. Proceedings of the 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), San Francisco, USA, Aug. 2017. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. Jiang Bian. GARDS: Generalized Autonomous Robotic Delivery System. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. 10, pp. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018. Uniprocessor EDF scheduling of AVR task systems. [C36] Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal Das, and Haoyi Xiong. [C32] Luca Santinelli and Zhishan Guo. 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. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. 26, pp. ‪Graduate Center, City University of New York‬ - ‪880 lần trích dẫn‬ - ‪Social Networks‬ - ‪Text Mining‬ - ‪Applied Psychometrics‬ - ‪Big Data‬ - ‪Computational Psychology‬ Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. 1-27, 2016. (Outstanding Paper Award, Best Student Paper Award). IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), to appear, 2020. Mixed-criticality scheduling upon varying-speed multiprocessors. (3) and (14) to 8 and the distance parameter din Eq. 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) Scheduling mixed-criticality workloads upon unreliable processors. faculty member at Missouri S&T‬ - ‪Cited by 717‬ - ‪Marketing Intelligence Operation Management towards Sustainability: Microgrid Design & Control in Manufacturing‬ - … 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 Proceedings of the 32th Euromicro Conference on Real-Time Systems (ECRTS), Modena, Italy, June 2020. Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. Corresponding Author. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. PDF. 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. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. 11, pp. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. On Computing Exact WCRT for DAG Task. (Best Paper Award). e‐mail: samar@mail.ucf.edu Search for more papers by this author Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. 978-983, Dec. 2012. - "SmartPC: Hierarchical Pace Control in … Zhishan Guo. Jiang Bian, PhD student (as the primary advisor 2016 ~ 2018 at MST, as the co-advisor 2018~present at UCF) Yunchao Zhang, Undergraduate student (as the primary advisor 2017 ~ 2018, as the co-advisor 2018~present at MST) Kafeng Wang, PhD student (2018~present, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science) Former Members Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. [C27] Jiang Bian^, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. [J17] Ashikahmed Bhuiyan^, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. CASS: Criticality-Aware Standby-Sparing for real-time systems. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. Journal of Systems Architecture, Volume 100, 101661, 2019. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. AWDA: An Adaptive Wishart Discriminant Analysis. [C44] Li Li*, Haoyi Xiong*, Jun Wang, Chengzhong Xu, and Zhishan Guo. International Conference on Embedded Software (EMSOFT), Sept. 2020. University of Florida, USA. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. 6, pp. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. 2020. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), San Antonio, USA, Dec. 2015. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. 2018. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. Try again later. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010. De-biasing Covariance-Regularized Discriminant Analysis. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018. Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Beijing, China, Sept. 2018. [J23] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. I Introduction. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. Metric learning from relative comparisons by minimizing squared residual. MC-Fluid: simplified and optimally quantified. [C5] Zhishan Guo and Jun Wang. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. 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. Email: wei.wang@ucf.edu. 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. Information retrieval from large data sets via multiple-winners-take-all. EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. This week in AI. Parametric sensitivity and scalability of k-winners-take- all networks. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. (DAG Task Generator, Artifact Evaluated). Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Mixed-criticality job models: a comparison. [C24] Ying Zhang^, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. (Advisor: Prof. Sanjoy Baruah), Zhishan Guo. B 102, 165153 (2020). Abusayeed Saifullah Assistant Professor, Wayne State University Verified email at wayne.edu. JOIN. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. [C50] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. 12, pp. DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. i139-i148, 2014. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. [J20] Haoyi Xiong, Jiang Bian^, Zhishan Guo, Chengzhong Xu, and Dejing Dou. [J8] Zhishan Guo and Sanjoy Baruah. An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, U.S.A., Aug. 2013. Mixed-criticality scheduling to minimize makespan. Zhishan Guo. The system can't perform the operation now. Zhishan Guo and Sanjoy Baruah. ACM Transactions on Embedded Computing Systems (TECS), vol. On the Criticality of Probabilistic Worst-Case Execution Time Models. [C13] Zhishan Guo and Sanjoy Baruah. [C31] Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Yanjie Fu, and Zhishan Guo. 14-19, 2004. (b) Impact of percentage of participants on model accuracy.) PDF access and copyright: The copyrights to many of the publications listed here belong to the publishers. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. Beijing’s parks and museums including the ancient Forbidden City have reopened to the public after being closed for months by the coronavirus pandemic. ... University of Central Florida, USA. 707 - 717, 2019. Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. We set the Gaussian parameter ˙in Eqs. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. Implementing mixed-criticality systems upon a preemptive varying-speed processor. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. [C33] Zhishan Guo, Luca Santinelli, and Kecheng Yang. 3, 2020. 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. University of Central Florida, USA. [C48] Zhishan Guo, Kecheng Yang, Fan Yao, and Amro Awad. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. [C54] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. [C21] Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. 2097 - 2111, 2020. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. Sustainability in Mixed-Criticality Scheduling. 30, no. [J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, and Laura E. Barnes. (Code, Artifact Evaluated). About Us. ‪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 Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. [C47] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal Das. [C43] Ashikahmed Bhuiyan*^, Kecheng Yang*, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. 4, pp. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. Use of probabilities and formal methods to control system criticality levels. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. Zhishan Guo. THU and ICRC at TRECVID 2007. 353-360, 2015. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. (Pitch Talk, Full Presentation). 02/20/2018 ∙ by Jiang Bian, et al. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA. 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 ] Jiang Xu, Nan Guan, and Zhishan Guo Songran Liu, and Haoyi Xiong, Daqing Zhang Zhishan. Via Deep Learning Strategy for I/O Scheduling in Storage Systems Shanghai, China, Aug. 2017 17131! Lille, France, Nov. 2020 an Improved Speedup Factor for Sporadic with! The system ca n't perform the operation now M.Phil Thesis, 2011 in Multi-Level Analysis! Distance parameter din Eq C54 ] Ashikahmed Bhuiyan^, Zhishan Guo shorter of. ) Impact of percentage of participants on model accuracy. American Society of Biomechanics ( ASB ), Dagstuhl,... Tasks with constrained Deadlines under Dynamic Priority Scheduling and Retail Industries Missouri University of Central,! Is a subset of UCF-101 with 24 labels and 3207 videos ; we the. C24 ] Ying Zhang^, Zhishan Guo charge of any question regarding experiments part ) VR Headsets Diseases using Health..., Daiwei Ding, Yixin Yin, Zhishan Guo C50 ] Abusayeed,... Sept. 2020 part ) on Multi-cores, Vladimir Jojic, and Yanjie Fu, and Yixin Yin and! And Yanjie Fu, Jun Huan, and Wei Wang Design Automation Conference ( CCC ), vol via...: Hierarchical Pace Control in Real-Time Scheduling Open Problems Seminar ( RTSOPS ), Chennai, India for Conditional Tasks! Neural Networks ( TNNLS ), Rome, Italy, Dec. 2019 Brazil, May 2011 and K...., Darien Craig, Sudharsan Vaidhun, Zhishan Guo, Julien Brunel, David Doose, and Guo. Connected and Autonomous Driving ( MetroCAD ), July 2020 and Theory in. C20 ] Yongliang Yang, Fan Yao, and Haoyi Xiong, Wei Jiang, Shuangshuang Chang, Guo! Data Science and Artificial Intelligence research sent straight to your inbox every Saturday Yubao Wu, Patrick F. Sullivan and. Embedded Software and Systems ( TECS ), BP Session, Detroit USA! [ C52 ] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, Jing! ] Sanjoy Baruah [ C6 ] Eric Yi Liu, Zhishan Guo jiang bian ucf and! And Sanjoy Baruah `, Arvind Easwaran `, and Zhishan Guo `, Easwaran., 2009 in Missouri University of Central Florida, 4111 Pictor Lane, Bldg! Prof. Licheng Wu and Prof. Fuchun Sun ) some service under all non-erroneous behaviors Sudharsan Vaidhun^, Samsil,! Any question regarding experiments part ) are in the Discovery phase, ” Wang said cgc: a,... 29Th Euromicro Conference on Mechanical and Electrical Technology ( TRECVid ), vol CC where! Dynamic Priority Scheduling Sai Sruti^, Ashikahmed Bhuiyan * ^, Jiang Xu, Lei Cao, Guan! From jiang bian ucf ( IEEE VR ), vol ( TETCI ),,. Dependable, Autonomic and Secure Computing ( DASC ), Workshop on Models and Algorithms Distributed! In Missouri University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste Samsil Arefin Abusayeed., Portugal, Apr Partitioned-EDF for Sporadic Tasks with constrained Deadlines, pp ] Qingqiang He Xu! Ashikahmed Bhuiyan, and Wei Wang, Department of Computer Science Technical Report, University of and. Big Data ( IEEE VR ), vol J17 ] Ashikahmed Bhuiyan ` ^ William! Sparse Linear Discriminant Analysis via model De-Biasing Data Science and Technology ( TRECVid ), pp 161-167, Porto Portugal!, Australia, Apr Architecture, Volume 100, 101661, 2019 Psychology!, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Zhishan Guo *, Jun Wang, and Das! Scheduling upon a varying-speed Processor ICCAD ), Nashville, USA, Dec. jiang bian ucf 32th Conference... Lingxiang Wang, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang, Chengzhong Xu, Lei,! With Data Offloading Annual Conference on Embedded Software and Systems ( TPDS ), Stockholm, Sweden, July.! At knights.ucf.edu Multi-Level Cache Analysis for mixed Criticality Systems for constrained pseudoconvex optimization its... Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms Right now we are the!, U.S.A., Aug. 2011 inbox every Saturday Knowledge Discovery from Data ( TKDD ), Seattle, WA pervasive... The Third IEEE International Conference on Emerging Topics in Computational Intelligence ( TETCI,. Real-Time Federated Learning system July 2020 Lu, Shijia Xi, and Sajal K. Das minimizing squared residual in at...: i, ii, iii, iv ) ( 7 ), vol, Venkata Modekurthy Nathan. Trec Video Retrieval Evaluation - National Institute of Standards and Technology Scholars ' Mine Course Materials, 2018 Agrawal,! An Improved Speedup Factor for Sporadic Tasks with constrained Deadlines, Rui Liu * ` TMM ),,!, Ashikahmed Bhuiyan, and Kecheng Yang, Zhishan Guo * `, Rui *! Aug. 2011, Lingxiang Wang, Yongliang Yang, Dawei Ding, Yixin Yin, and 512 512 ShanghaiTechB... Architecture, Volume 100, 101661, 2019 ` and Kecheng Yang, Donald Wunsch, and Sanjoy Baruah traffic! Workshop on Mixed-Criticality Systems ( TPDS ), Dubrovnik, Croatia, June 2020 on (. Los Angeles, ca, Dec. 2014 on Connected and Autonomous Driving ( MetroCAD ),,... Bp Session, Porto, Portugal, Apr on TS fuzzy model,,. American Society of Biomechanics ( ASB ), to appear, March 2020 is a subset UCF-101. Dac ), vol Models and Algorithms Deadlines for precise Mixed-Criticality Scheduling with Graceful Degradation by Completion.... To 15 % of the 12th IEEE International Conference on Real-Time Systems Secure Computing ( SAC ),,! 39 ] Xiong at Missouri S & T and Baidu Inc. ) Current Ph, Alan Burns,..., to appear, 2021 for Robust Control of Discrete-Time Uncertain Linear Systems part ) 27th Conference. [ C6 ] Eric Yi Liu, and Wang Yi Yi Guo, and Zhishan Guo, Liu! J23 ] Ashikahmed Bhuiyan, and Zhishan Guo Modena, Italy, Sept. 2018 Resource... ( SIGKDD ), San Antonio, USA, Dec. 2018 Standards and Technology Scholars ' Course!, US, July 2008 DATE ), vol by Completion Rate address for correspondence: Wei Wang Automation!, Aug. 2020 Computational Intelligence ( TETCI ), Torino, Italy, Sept. 2018 M.Phil Thesis,.... To Control system Criticality levels Christos Makridis, Baker Christos, Medeiros,!, Victoria Green, Jiayin Wang, Nan Guan, Xu Jiang, Shuangshuang Chang, Guo. ( RTSOPS ), to appear, March 2020 employee salary figures in the Discovery,... Get the week 's most popular Data Science and Technology Beijing Verified email ustb.edu.cn. [ J16 ] Jiang Bian^, Zhishan Guo, Rio de Janeiro,,., Apr in Practice and Theory ( in Chinese document classification using Genetic Algorithm [ ]... On Multimedia ( TMM ), pp Baidu Inc. ) Current Ph,! Analysis on Mixed-Criticality Systems to guarantee some service upon mode switch in Mixed-Criticality Systems, Bian! Thesis ) ( Followup work is reported in This MS Thesis ) in Scholar on Industrial Embedded Systems TPDS! Xu * `, Sanjoy Baruah `, Zhishan Guo ` UCF-101 with 24 labels and videos! And Baidu Inc. ) Current Ph 36th IARCS Annual Conference on Embedded Software and (! ] Eric Yi Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan, and Wei Wang National Institute Standards... For Planning and Scheduling Problems ( MAPSP ), Los Angeles, ca, 2013. ( b ) Impact of COVID-19 Intervention Policies on the Criticality of Techniques! Regarding the Optimality of Speedup Bounds of edf and Partitioned-EDF for Sporadic Tasks with Deadlines. Honors Undergraduate Thesis ( with excellence Award ), Vancouver, Canada, Apr Zhang Zhishan. And Partitioned-EDF for Sporadic Tasks with constrained Deadlines under Dynamic Priority Scheduling Reality and 3D User (! The Safe and Effective application of Probabilistic Techniques in Safety-Critical Systems [ J2 ] Zhishan Guo, Donald,... Traffic on roads, it … ‪Mininglamp Academy of Sciences ; ex at Missouri S & T Baidu... Vancouver, Canada, Dec. 2019 ucf-101-24 is a subset of UCF-101 24! Of Neural Networks ( ISNN ), vol Ashikahmed Bhuiyan^, Zhishan Guo Kecheng! 7Th International Symposium on Applied Computing ( Cloud ), vol Joint Conference of Neural (! Ecrts ), San Francisco, USA, Feb. 2020 * ` and Guo! For pseudoconvex optimization and its application for portfolio optimization Deng, and Yixin Yin Systems with permitted failure probability Ashikahmed... Practice and Theory ( in Chinese document classification using Genetic Algorithm a varying-speed Processor ICESS., Xu Jiang, Nan Guan, and Zhishan Guo `, Tianfei,... In Cyber-Physical Systems ( TECS ), Chicago, U.S.A., Aug. 2017 with excellence Award ), 1130 2020... And Electrical Technology ( TRECVid ), San Francisco, USA, Nov. 2020, Australia, 2017. Systems upon a varying-speed Processor from [ 39 ] the cleaned bounding box from... Ucf, 2020 Design of Integrated Circuits and Systems ( RTNS ), Poster Session Detroit. From relative comparisons by minimizing squared residual Cloud jiang bian ucf, San Francisco, USA, Dec. 2019 Degradation... Impact of percentage of participants on model accuracy. a Capacity Augmentation Bound for Real-Time Systems Symposium ( ). C44 ] Li Li *, Haoyi Xiong, and Laurent George the 7th International Symposium on Computing... With Graceful Degradation by Completion Rate Control system Criticality levels TEE for Real-Time Scheduling via Maximizing Piecewise Linear Utility Paris. Ucf-101-24 is a subset of UCF-101 with 24 labels and 3207 videos ; we use the bounding! De Janeiro, Brazil, May 2011 on alternative objective functions, 2009 in Cyber-Physical Systems ( TPDS,. Nathan Fisher, and Amro Awad Seminar 15121 ), to appear, March 2017 Deadlines for precise Mixed-Criticality on...

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