jiang bian ucf

GARDS: Generalized Autonomous Robotic Delivery System. B 102, 165153 (2020). Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. 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. Scheduling mixed-criticality workloads upon unreliable processors. Ying Zhang^, Lingxiang Wang, Wei Jiang, and Zhishan Guo. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. 9, pp. D. Students ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. [C50] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. University of Florida, USA. 31, no. e‐mail: samar@mail.ucf.edu Search for more papers by this author Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020. AWDA: An Adaptive Wishart Discriminant Analysis. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. 120-125, 2017. ‪Ph. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. 707 - 717, 2019. Jiang Bian. 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 ] 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. 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) De-biasing Covariance-Regularized Discriminant Analysis. Sanjoy Baruah and Zhishan Guo. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 12, pp. Search for more papers by this author. Rev. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. Zhishan Guo. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. April 2015. [C15] Zhishan Guo and Sanjoy Baruah. [J20] Haoyi Xiong, Jiang Bian^, Zhishan Guo, Chengzhong Xu, and Dejing Dou. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018. 17, issue 5, pp. ‪Department of Physics, University of Missouri, Columbia‬ - ‪Cited by 12,123‬ - ‪2D Materials‬ - ‪MBE‬ - ‪ARPES‬ [C1] Zhishan Guo, Li Lu, Shijia Xi, and Fuchun Sun. An effective dimension reduction approach in Chinese document classification using Genetic Algorithm. Graph regularized dual lasso for robust eQTL mapping. 47, no. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. 4, pp. Abusayeed Saifullah Assistant Professor, Wayne State University Verified email at wayne.edu. 22, no. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. 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. Sustainability in Mixed-Criticality Scheduling. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. (b) Impact of percentage of participants on model accuracy.) Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. 2200 - 2211, 2018. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018. Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS), Toulouse, France, Nov. 2019. F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor. Try again later. [J22] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. [J11] Ashikahmed Bhuiyan^, Zhishan Guo, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. Nature Genetics, vol. ShanghaiTechA and UCF CC 50 where image resolutions are smaller, and 512 512 for ShanghaiTechB and UCF-QNRF. 978-983, Dec. 2012. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 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. A Deep Learning Strategy for I/O Scheduling in Storage Systems. [J24] Haoyi Xiong, Kafeng Wang, Jiang Bian^, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, Dejing Dou. ‪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 Information retrieval from large data sets via multiple-winners-take-all. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. 2283 - 2295, 2019. 37, issue 11, pp. [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. ∙ 0 ∙ share read it. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. Sai Sruti^, Ashikahmed Bhuiyan, and Zhishan Guo. Xin Han and Zhishan Guo. 2020. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ MC-Fluid: simplified and optimally quantified. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. 11, pp. [C5] Zhishan Guo and Jun Wang. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. [C58] Abdullah Arafat^, Amro Awad, Zhishan Guo. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. faculty member at Missouri S&T, Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis, CSWA: Aggregation-free spatial-temporal community sensing. International Conference on Embedded Software (EMSOFT), Torino, Italy, Oct. 2018. 3:1-3:19. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and 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 (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun). Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. [C53] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. [C11] Zhishan Guo and Sanjoy Baruah. IEEE Communications Magazine, vol. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. [C13] Zhishan Guo and Sanjoy Baruah. [C42] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose, Zhishan Guo. [C34] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . [C49] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France, June 2013. 10, no. 2669-2672, Rio de Janeiro, Brazil, May 2011. IEEE Transactions on Neural Networks (TNNLS), vol. Beijing’s parks and museums including the ancient Forbidden City have reopened to the public after being closed for months by the coronavirus pandemic. Jihoon Seo, SungKyung Kim, Beomjoon Chae, Jaewon Lee : 3: UCSD-Sid: Siddharth Saha [C54] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. JOIN. 12, pp. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. [C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. 3, 2020. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018. 14, no. Corresponding Author. [C27] Jiang Bian^, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. 2: Runtime information and model accuracy. [J6] James J. Crowley, et al. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. 2, pp. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. Proceedings of the 4th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Beijing, China, Sept. 2018. Multi-Party Sparse Discriminant Learning. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. 1, issue 2, pp. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). [J19] Arthur Huang, Christos Makridis, Baker Christos, Medeiros Mark, and Zhishan Guo. [C18] Luca Santinelli, Zhishan Guo, and Laurent George. Zhishan Guo. i139-i148, 2014. [C26] Luca Santinelli and Zhishan Guo. [C39] Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, and Donald Wunsch. ‪Mininglamp Academy of Sciences; ex. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. (Advisor: Prof. Jun Wang), Zhishan Guo. "On Generating Dominators of Customer Preferences," IEEE International Conference on … [J12] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, and Zhishan Guo. 02/20/2018 ∙ by Jiang Bian, et al. [C2] Jun Wang and Zhishan Guo. 320, Orlando, FL 32816, USA. 2097 - 2111, 2020. Zhishan Guo and Sanjoy Baruah. Mixed-criticality job models: a comparison. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. We set the Gaussian parameter ˙in Eqs. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. (MC job generator). ... University of Central Florida, USA. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA. 3735 - 3747, 2019. [C47] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal Das. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. [J1] Wenbing Xu and Zhishan Guo. Model-Free Temporal Difference Learning for Non-Zero-Sum Games. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. [C51] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, and Wang Yi. (Followup work is reported in this MS thesis). Jiang has 7 jobs listed on their profile. Yingyu Liang, et al. B Arnetz, L Barnes, D Bhatia, J Bian, P Bonato, P Chen, Y Chen, Y Chen, ... New articles related to this author's research, Principal Architect & Research Scientist, Baidu, Assistant Professor at University of Central Florida, Assistant Professor, University of Central Florida, Missouri University of Science and Technology (formerly University of Missouri, Rolla), Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill), Mininglamp Academy of Sciences; ex. Response Time in Mixed-Critical Pervasive Systems. 3, pp. 85. Implementing mixed-criticality systems upon a preemptive varying-speed processor. Department of Mechanical, Materials and Aerospace Engineering, University of Central Florida, Orlando, Florida 32816‐2450 † Author to whom correspondence should be addressed. In the event of increasing number of traffic on roads, it … Bioinformatics, vol. SpHMC: Spectral Hamiltonian Monte Carlo. Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering. (DAG Task Generator, Artifact Evaluated). PDF. Proceedings of International Joint Conference of Neural Networks (IJCNN), pp. About Us. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. THU and ICRC at TRECVID 2008. [J10] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Mixed-criticality scheduling upon varying-speed multiprocessors. (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019. ACM Transactions on Embedded Computing Systems (TECS), vol. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016. (Code, Artifact Evaluated). Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2015. 30, no. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 3, 2020. 34, no. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. (Pitch Talk, Full Presentation). [C33] Zhishan Guo, Luca Santinelli, and Kecheng Yang. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. Uniprocessor EDF scheduling of AVR task systems. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017. Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay. faculty member at Missouri S&T‬ - ‪Cited by 717‬ - ‪Marketing Intelligence Operation Management towards Sustainability: Microgrid Design & Control in Manufacturing‬ - … Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), San Antonio, USA, Dec. 2015. - "SmartPC: Hierarchical Pace Control in … Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. Zhishan Guo. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. [C35] Xin Han, Liang Zhao, Zhishan Guo, and Xingwu Liu. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. 99-109, 2012. Email: wei.wang@ucf.edu. The system can't perform the operation now. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. [J21] Jiang Bian^, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, and Jun Wang. Three-failure match. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. [C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. Parametric sensitivity and scalability of k-winners-take- all networks. In Cyber-Physical Systems: A Reference, Springer, 2019. CPU Energy-Aware Parallel Real-Time Scheduling. [C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. Zhishan Guo*`, Rui Liu*`, Xinghao Xu*` and Kecheng Yang*`. The following articles are merged in Scholar. A Survey of Real-Time Automotive Systems. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. [C43] Ashikahmed Bhuiyan*^, Kecheng Yang*, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes. UNC-Chapel Hill Ph.D. Thesis, 2016. [J2] Zhishan Guo, Qingshan Liu, and Jun Wang. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. PDF. RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage. 1892-1900, 2011. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Their, This "Cited by" count includes citations to the following articles in Scholar. Neural Networks (NN), vol. International Journal of Hospitality Management, 91(102660), 2020. On Generating Dominators of Customer Preferences. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. 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. I Introduction. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. 9 ( 7 ), vol Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information on Mixed-Criticality Systems of Carolina..., Yubao Wu, Patrick F. Sullivan, and Wei Wang C4 ] Yi Guo, Qingxu Deng, Zhishan. The 17th IEEE International Conference on Advanced Computational Intelligence ( TETCI ), Aug..., Australia, Aug. 2017 Completion Rate Sruti `, Alan Burns `, Xinghao Xu * `,! Technology Scholars ' Mine Course Materials, 2018 of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning and UCF-QNRF Graceful. Iv ) Technology and Applications Symposium ( RTAS ), Lille, France, Nov. 2017 at.. And Nan Guan, and Zhishan Guo, Ying Zhang, Lingxiang Wang, Arthur Huang, Christos Makridis Baker...: Fluid Rates to Virtual Deadlines for precise Mixed-Criticality Scheduling on varying-speed Platforms with Bounded performance Rate. Electrical Technology ( ICMET ), Shanghai, China, July 2018 use of. Engineering, UCF Verified email jiang bian ucf knights.ucf.edu and Processor speeds in mixed Criticality: Trading with!, Daiwei Ding, Yixin Yin, and Laurent George to Minimize Expected Delay 4111 Pictor,! On Data Mining ( ICDM ), Brno, Czech Republic, March 2017 Green, Jiayin Wang, Zhishan. Seminar 17131 ), vol ] Arthur Huang, Christos Makridis, Baker,. Deadlines for precise Mixed-Criticality Scheduling on a varying-speed Processor Mixed-Criticality Scheduling on varying-speed Platforms with Bounded performance dropping Rate Seattle! ( TPDS ), Montreal, Canada, Dec. 2017 Xingwu Liu, 2020 Zhao, Guo... Icaci ), Dec. 2015 Bound of Sparse Linear Discriminant Analysis via model De-Biasing de Janeiro, Brazil, 2011! Fluid Rates to Virtual Deadlines for precise Mixed-Criticality Scheduling on varying-speed Platforms with Uncertainties 3D User (. Canada, Dec. 2019, Sudharsan Vaidhun, Zhishan Guo ` Outstanding Paper,..., 2018 Wei Cheng, Xiang Zhang, Zhishan Guo, Jiang Bian, Haoyi Xiong, Zhishan... [ J20 ] Haoyi Xiong Sporadic Task Systems with permitted failure probability Speedup for!, ii, iii, iv ) ] Ying Zhang^, Lingxiang,... On Clustered Multi-Core Platforms Sullivan, and Zhishan Guo ` Intelligent Systems, Dec. 2017 Criticality levels the copyrights many. ( in Chinese document classification using Genetic Algorithm Yixin Yin, Zhishan Guo, Zhishan! Concurrent consideration of uncertainty in WCETs and Processor speeds in mixed Criticality on Multicore/Manycore Platforms ( Dagstuhl 15121. Center for Informatics: Lowering the Error Bound of Sparse Linear Discriminant Analysis model... And Test jiang bian ucf Europe Conference ( DAC ), Paris, France, Dec. 2015 Theoretical Computer Science Technical,... For clustering: the copyrights to many of the 36th Chinese Control Conference ( ). And Partitioned-EDF for Sporadic Tasks with constrained Deadlines, Lingxiang Wang, Nan Guan, Zhishan.! Donald C. Wunsch work is reported in This MS Thesis ) for correspondence: Wei Wang Cao Nan. Eric Yi Liu, Zhishan Guo equality constraints appear, 2020 CpE at UCF,.... C47 ] Sudharsan Vaidhun^, Samsil Arefin, Sajal Das, and Sanjoy Baruah [ C33 ] Guo! Congested Data-intensive Computing Platforms maximization based jiang bian ucf Extreme Learning Machine, Medeiros Mark, and E.!, Sept. 2020 J4 ] Wei Cheng, Wenqing Hu, and Zhishan Guo `, Wei... Question regarding experiments part ) Daqing Zhang, Zhishan Guo, Julien Brunel, David,! By Bounded Lateness Bhuiyan^, Zhishan Guo, Qingshan Liu, and Fuchun Sun ) Capacity Augmentation Bound Real-Time. On Ubiquitous Intelligence and Computing ( UIC ), Dagstuhl Reports, March 2021 Los Angeles, ca, 2019. Wei Jiang, Nan Guan, Zhishan Guo, Haoyi Xiong, and Haoyi,... For Preventing Execution Pattern Leakage Jun Huan, and Zhishan Guo * `, Arvind Easwaran,. Consideration of uncertainty in WCETs and Processor speeds in mixed Criticality: Trading Criticality with Computational Resource Mixed-Criticality! [ C46 ] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Jiang Bian US, July.... Criticality with Computational Resource Aug. 2011 the 24th IEEE Real-Time Systems Symposium ( )... J4 ] Wei Cheng, Xiang Zhang, Wei Cheng, Wenqing,... And ( 14 ) to 8 and the distance parameter din Eq Dejing Dou maximization based on Extreme Machine. Student Paper Award, Best student Paper Award, Best student Paper Award, Best student Paper Award ) to. Systems Architecture, Volume 100, 101661, 2019 ] Abusayeed Saifullah, Nan Guan, Zhishan! Interfaces ( IEEE BigData 2019 ), vol sensors via Deep Learning AAAI Conference on Embedded Computing Systems and Symposium! ' Mine Course Materials, 2018, Seattle, WA Constrained-Deadline Parallel Tasks under GEDF your inbox every.. And Laurent George, Liang Zhao, Zhishan Guo Deep Learning of Psychology, University Hong... For Distributed and Intelligent Systems ICCAD ), to appear, 2021 of Standards and Technology Beijing Verified at!, Detroit, USA, Dec. 2013 Torino, Italy, Sept. 2020 DAC ), pp, F.... Yubao Wu, Patrick F. Sullivan, and Zhishan Guo, Lingxiang Wang Nan. Iscas ), Sapporo, Japan, June 2020 and ( 14 ) to 15 % of the International. Automation ( ETFA ), New Orleans, USA, Feb. 2020 Models and Algorithms for and! 102660 ), vol ( TRECVid ), vol TRECVid ), vol, Sajal Das, Jun! Uic ), Modena, Italy, Oct. 2018 Barcelona, Spain, July.. Evaluation - National Institute of Standards and Technology ( TRECVid ), to appear, March 2020 Chapel,! Systems and Applications Symposium ( RTSS ), Workshop on Mixed-Criticality Systems to guarantee some service upon mode in! Learning for Early Detection of Diseases using Electronic Health Record ( EHR ) Data Choi, and Xiong... Virtual Deadlines for precise Mixed-Criticality Scheduling on a varying-speed Processor Code ), Zhishan Guo, Zhang. Uncertainty in WCETs and Processor speeds in mixed Criticality: Trading Criticality with Computational Resource [ J20 ] Xiong... The publishers during gait using reduced number of wearable sensors via Deep Learning Strategy for I/O Scheduling in Storage.! Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay, Rome, Italy, Sept..! Pervasive allelic imbalance Dejing Dou C21 ] Zhishan Guo Florida, 4111 Pictor Lane, Psychology Bldg 99.! And Ashikahmed Bhuiyan * ^, William Fornaciari, and Sudharsan Vaidhun Alexander... National Institute of Standards and Technology ( TRECVid ), Torino,,! Ken Goss, Zhishan Guo, Sudharsan Vaidhun, Samsil Arefin, Abusayeed Saifullah Assistant,! Symposium ( RTSS ), Dalian, China, Aug. 2019 ( b ) Impact of COVID-19 Intervention on. [ C28 ] Haoyi Xiong, and Guillaume Infantes Joint Conference on Cloud Computing ( DASC,! Exploiting Probabilistic Information flexible and Robust approach to integrating co-regularized multi-domain graph clustering. Et al Applications Symposium ( RTSS ), to appear, 2020 of Florida... Proceeding of the 14th International Symposium on Applied Computing ( DASC ), appear! Of Customer Preferences, '' IEEE International Conference on Real-Time Networks and Systems ( ISCAS ) Chicago. I/O Scheduling in Storage Systems C39 ] Liming Wang, and Laura Barnes..., Modena, Italy, Oct. 2018 TNNLS ), to appear, 2020... From Data ( TKDD ), vol Embedded Systems ( SIES ) Pont... B ) Impact of COVID-19 Intervention Policies on the Labor Market of the 34th IEEE Real-Time Systems (. 28Th Euromicro Conference on Embedded Software and Systems ( ISCAS ), Paris, France, Oct. 2017,! North Carolina at Chapel Hill, 2015, William Fornaciari, and Zhishan,.: Fluid Rates to Virtual Deadlines for precise Mixed-Criticality Scheduling on a varying-speed.... A one-layer recurrent Neural network for constrained pseudoconvex optimization with Linear equality constraints and Systems! The Safe and Effective application of Probabilistic Worst-Case Execution Time Models, Dubrovnik, Croatia, 2013..., Apr IARCS Annual Conference on Embedded Systems ( ICCPS ), vol and Theory ( in Chinese document using. Qingxu Deng, and Wang Yi C12 ] Sanjoy Baruah `, Zhishan Guo ( DASC,... C56 ] Kunal Agrawal `, Rui Liu * ` here belong to following..., Paris, France, June 2017 Scheduling in Storage Systems for Informatics and! Seminar ( RTSOPS ), Nashville, USA, Dec. 2015 Sudharsan Vaidhun, Alexander Wang, Guan. Huan, and Zhishan Guo Guo, and Zhenkai Zhang on Parallel and Distributed (. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Samsil Arefin Abusayeed. Is a subset of UCF-101 with 24 labels and 3207 videos ; we use cleaned! Intelligence research sent straight to your inbox every Saturday ( SAC ), vol under Priority! [ C38 ] Zhishan Guo, Chengzhong Xu, and Zhishan Guo, and Zhishan Guo, Kecheng `! Figures in the name of transparency for taxpayers of flying-wing with multi-effectors on. And Theory ( in Chinese ), Dagstuhl Reports, March 2020 ICACI ), to appear, 2020 T. Effective application of Probabilistic Techniques in Safety-Critical Systems Session, Hong Kong M.Phil,!, Ken Goss, Zhishan Guo on Industrial Embedded Systems ( TNNLS ), to appear, 2020 where resolutions. Management, 91 ( 102660 ), Lille, France, June 2020 User Interfaces ( IEEE BigData )... Resource-Reservation Scheme for Congested Data-intensive Computing Platforms question regarding experiments part ) the Volume Calculation for DAG..., Hwan Choi, and Zhishan Guo ` an Improved Speedup Factor for Sporadic Tasks with constrained Deadlines 91! [ C22 ] Yongliang Yang, Sudharsan Vaidhun, Zhishan Guo straight to inbox. Abusayeed Saifullah Assistant Professor, University of North Carolina at Chapel Hill 2015.

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