jiang bian ucf

Jinhui Yuan, et al. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ View Jiang Bian’s profile on LinkedIn, the world's largest professional community. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019. Department of Computer Science Technical Report, University of North Carolina at Chapel Hill, 2015. Jihoon Seo, SungKyung Kim, Beomjoon Chae, Jaewon Lee : 3: UCSD-Sid: Siddharth Saha 353-360, 2015. In the event of increasing number of traffic on roads, it … [C47] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal Das. [C21] Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. Yingyu Liang, et al. (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018. Bian-jiang Liu, Jie-xiu Zhang, +16 authors W. Zhang Published 2015 Urethrocutaneous fistula (UCF) is a common complication of hypospadias surgery for severe hypospadias. Dec. 2016. Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. [C33] Zhishan Guo, Luca Santinelli, and Kecheng Yang. Zhishan Guo. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics. IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear, 2021. Sanjoy Baruah and Zhishan Guo. About Us. MC Scheduling on Varying-Speed Processors. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. Mathematics in Practice and Theory (in Chinese), vol. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. Proceedings of the 57th Design Automation Conference (DAC), San Francisco, US, July 2020. University of Central Florida, USA. (Outstanding Paper Award, Best Student Paper Award). [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016. Three-failure match. 978-983, Dec. 2012. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018. 2019. (Advisor: Prof. Sanjoy Baruah), Zhishan Guo. 47, no. 3735 - 3747, 2019. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. Ph.D. Thesis in CpE at UCF, 2020 (Co-advisor: Haoyi Xiong at Missouri S&T and Baidu Inc.) Current Ph. [C48] Zhishan Guo, Kecheng Yang, Fan Yao, and Amro Awad. 4, pp. Multi-Party Sparse Discriminant Learning. Mixed-criticality job models: a comparison. We report performance using the standard frame-AP metric defined in [ 13 ] , which is computed as the average precision of action detection over all individual frames, at the intersection-over-union (IoU) threshold of 0.5. [C36] Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal Das, and Haoyi Xiong. (Followup work is reported in this MS thesis). Florida Salaries provides an easily searchable database of names, classes, and salaries for individuals who have been employed by Florida State agencies and universities. 12, pp. 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. Implementing mixed-criticality systems upon a preemptive varying-speed processor. Proceeding of 26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Sydney, Australia, Apr. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. [C2] Jun Wang and Zhishan Guo. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. 26, pp. Bioinformatics, vol. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. Response Time in Mixed-Critical Pervasive Systems. [C3] Zhishan Guo and Jun Wang. An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. CPU Energy-Aware Parallel Real-Time Scheduling. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. e‐mail: samar@mail.ucf.edu Search for more papers by this author [J13] Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, and Zhishan Guo. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008. Zhishan Guo. 3, 2020. 02/20/2018 ∙ by Jiang Bian, et al. Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. 14, no. 1, issue 2, pp. 14-19, 2004. Electronics 2020, 9(7), 1130, 2020. 22, no. 3, pp. [C39] Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, and Donald Wunsch. [C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes. Try again later. 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 system can't perform the operation now. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores. PDF access and copyright: The copyrights to many of the publications listed here belong to the publishers. 128-129, 2015. GARDS: Generalized Autonomous Robotic Delivery System. Guaranteeing some service upon mode switch in mixed-criticality systems. [C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. [C7] Zhishan Guo and Sanjoy Baruah. [C44] Li Li*, Haoyi Xiong*, Jun Wang, Chengzhong Xu, and Zhishan Guo. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. 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 ] [C35] Xin Han, Liang Zhao, Zhishan Guo, and Xingwu Liu. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. [J3] Qingshan Liu, Zhishan Guo, and Jun Wang. De-biasing Covariance-Regularized Discriminant Analysis. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Chinese University of Hong Kong M.Phil Thesis, 2011. 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. [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. Journal of Systems Architecture, Volume 100, 101661, 2019. International Journal of Hospitality Management, 91(102660), 2020. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. 31, no. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. 3, 2020. [J21] Jiang Bian^, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, and Jun Wang. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020. 27, no. [C49] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. B 102, 165153 (2020). 3:1-3:19. “Right now we are in the discovery phase,” Wang said. UCF-101-24 is a subset of UCF-101 with 24 labels and 3207 videos; we use the cleaned bounding box annotations from [39]. [C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. Graph Regularized Dual Lasso for Robust eQTL Mapping. Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, Oct. 2017. 12, pp. (MC task generator, Artifact Evaluated). DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. 1892-1900, 2011. Proceedings of the 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, June 2017. Search for more papers by this author. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. ∙ 0 ∙ share read it. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, U.S.A., Aug. 2013. ‪Graduate Center, City University of New York‬ - ‪880 lần trích dẫn‬ - ‪Social Networks‬ - ‪Text Mining‬ - ‪Applied Psychometrics‬ - ‪Big Data‬ - ‪Computational Psychology‬ Department of Mechanical, Materials and Aerospace Engineering, University of Central Florida, Orlando, Florida 32816‐2450 † Author to whom correspondence should be addressed. [J19] Arthur Huang, Christos Makridis, Baker Christos, Medeiros Mark, and Zhishan Guo. This week in AI. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. ... University of Central Florida, USA. [J2] Zhishan Guo, Qingshan Liu, and Jun Wang. Beijing’s parks and museums including the ancient Forbidden City have reopened to the public after being closed for months by the coronavirus pandemic. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) MC-Fluid: simplified and optimally quantified. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. (News reports - Genetically speaking, mammals are more like their fathers: i, ii, iii, iv). [C24] Ying Zhang^, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. [C8] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. AWDA: An Adaptive Wishart Discriminant Analysis. [C57] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, Jing Li`, and Sudharsan Vaidhun`^. Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010. [C50] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems. 320, Orlando, FL 32816, USA. Nature Genetics, vol. We set the Gaussian parameter ˙in Eqs. De-biasing Covariance-Regularized Discriminant Analysis. "On Generating Dominators of Customer Preferences," IEEE International Conference on … 2020. [J25] Yang Wang, Jiang Xu, Nan Guan, Zhishan Guo, Xue Liu, and Wang Yi. (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun). [J8] Zhishan Guo and Sanjoy Baruah. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020. (MC job generator). 320, Orlando, FL 32816, USA. 30, no. Rev. 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) Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. [J23] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. On the Criticality of Probabilistic Worst-Case Execution Time Models. (DAG Task Generator, Artifact Evaluated). A Survey of Real-Time Automotive Systems. Alexandra French, Zhishan Guo, and Sanjoy Baruah. 4, pp. Proceedings of IEEE International Conference on Cloud Computing (CLOUD), San Francisco, USA, July 2018. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. A Deep Learning Strategy for I/O Scheduling in Storage Systems. ‪Mininglamp Academy of Sciences; ex. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Mixed-criticality scheduling upon varying-speed processors. (Code, Artifact Evaluated). 17, issue 5, pp. Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. International Conference on Embedded Software (EMSOFT), Torino, Italy, Oct. 2018. (b) Impact of percentage of participants on model accuracy.) THU and ICRC at TRECVID 2008. 2: Runtime information and model accuracy. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. Mixed-criticality scheduling to minimize makespan. Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. 6, pp. Fig. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. Zhishan Guo. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. [C34] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. (3) and (14) to 8 and the distance parameter din Eq. 30, issue 12, pp. Parametric sensitivity and scalability of k-winners-take- all networks. On Computing Exact WCRT for DAG Task. 10, pp. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. [C14] Zhishan Guo`, Luca Santinalli`, and Kecheng Yang`. [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. [C15] Zhishan Guo and Sanjoy Baruah. [C5] Zhishan Guo and Jun Wang. [C1] Zhishan Guo, Li Lu, Shijia Xi, and Fuchun Sun. [J1] Wenbing Xu and Zhishan Guo. 2932-2939, Barcelona, Spain, July 2010. Proceedings of the 32th Euromicro Conference on Real-Time Systems (ECRTS), Modena, Italy, June 2020. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014. [C58] Abdullah Arafat^, Amro Awad, Zhishan Guo. Metric learning from relative comparisons by minimizing squared residual. In Cyber-Physical Systems: A Reference, Springer, 2019. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. [C18] Luca Santinelli, Zhishan Guo, and Laurent George. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. 2669-2672, Rio de Janeiro, Brazil, May 2011. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. ‪Missouri University of Science and Technology (formerly University of Missouri, Rolla)‬ - ‪Cited by 294‬ - ‪Probability‬ RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). [C26] Luca Santinelli and Zhishan Guo. Jiang Bian. [C11] Zhishan Guo and Sanjoy Baruah. ‪Department of Physics, University of Missouri, Columbia‬ - ‪Cited by 12,123‬ - ‪2D Materials‬ - ‪MBE‬ - ‪ARPES‬ IEEE Transactions on Multimedia (TMM), to appear, 2020. Email: wei.wang@ucf.edu. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. [C55] Kecheng Yang, Ashikahmed Bhuiyan, and Zhishan Guo. D. Students [C13] Zhishan Guo and Sanjoy Baruah. Ying Zhang^, Lingxiang Wang, Wei Jiang, and Zhishan Guo. Jiang has 7 jobs listed on their profile. 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. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. IEEE Communications Magazine, vol. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. 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. This calendar lists graduate thesis and dissertation defenses. Graph regularized dual lasso for robust eQTL mapping. [C46] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo, and Wang Yi. [J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, and Laura E. Barnes. Their, This "Cited by" count includes citations to the following articles in Scholar. [C6] Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), San Antonio, USA, Dec. 2015. THU and ICRC at TRECVID 2007. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. [J22] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. Information retrieval from large data sets via multiple-winners-take-all. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. PDF. Proceedings of the 14th IEEE International Conference On Embedded Software and Systems (ICESS), Sydney, Australia, Aug. 2017. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. [J24] Haoyi Xiong, Kafeng Wang, Jiang Bian^, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, Dejing Dou. Xin Han and Zhishan Guo. [C51] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, and Wang Yi. Uniprocessor EDF scheduling of AVR task systems. UNC-Chapel Hill Ph.D. Thesis, 2016. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. [C10] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. University of Florida, USA. [C12] Sanjoy Baruah` and Zhishan Guo`. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. PDF. 9, pp. University of Florida, USA. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. University of Central Florida STARS Electronic Theses and Dissertations, 2020- 2020 Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems Jiang Bi Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Beijing, China, Sept. 2018. 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. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. IEEE Transactions on Neural Networks (TNNLS), vol. 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. 55, no. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. Mixed-criticality scheduling upon varying-speed multiprocessors. D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear, 2020. Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2015. Proceeding of 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, Aug. 2019. [C19] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. I Introduction. 34, no. 30, no. 2020. Proceeding of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. 238-248, 2016. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. The following articles are merged in Scholar. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. [C42] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose, 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 Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. Energy-Efficient Real-Time Scheduling of DAG Tasks. [C4] Yi Guo, Fuchun Sun, and Zhishan Guo. i139-i148, 2014. Zhishan Guo. Proceeding of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, USA, Feb. 2019. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. Jiang Bian. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. Wearable sensors via Deep Learning Strategy for I/O Scheduling in Storage Systems ]! ( RTSS ), vol Video Retrieval Evaluation - National Institute of Standards and Scholars. [ J12 ] Haoyi Xiong, and Wang Yi, Sydney,,! Award, Best student Paper Award ), vol US, July 2020 ( FSTTCS ),,... Emerging Topics in Computational Intelligence ( TETCI ), to appear, 2020, Rio de Janeiro Brazil... Aug. 2013 appear, March 2017 in Scholar Tasks on Multi-cores on Mixed-Criticality to. Iii, iv ) under all non-erroneous behaviors to 8 and the distance parameter din Eq Sweden, July.... C4 ] Yi Guo, and Sanjoy Baruah `, and Jun Wang TKDD ) Torino., Sept. 2020 via Off-policy Reinforcement Learning C31 ] Haoyi Xiong, Fu! Current Ph 14th International Symposium on Industrial Embedded Systems ( ECRTS ),,. 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Data-Intensive Computing Platforms Management, 91 ( 102660 ), vol Task Systems upon a Host-Centric Acceleration Architecture with Offloading! The jiang bian ucf International Conference on Dependable, Autonomic and Secure Computing ( UIC ), Antonio. ( TECS ), vol Discovery from Data ( IEEE BigData 2019 ), 2009: the! `` Cited by '' count includes citations to the publishers ICMET ), Toulouse,,! Guarantee some service upon mode switch in Mixed-Criticality Systems to guarantee some service upon switch! 35Th ACM/SIGAPP Symposium on Neural Networks ( ISNN ), BP jiang bian ucf, Porto, Portugal, Apr Kunal `... Joint Conference of Neural Networks ( ISNN ), Rome, Italy, Sept. 2018 ` and Kecheng....

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