Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), pp. Ph.D. Thesis in CpE at UCF, 2020 (Co-advisor: Haoyi Xiong at Missouri S&T and Baidu Inc.) Current Ph. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. [J13] Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, and Zhishan Guo. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. Proceeding of the 3rd International Conference on Mechanical and Electrical Technology (ICMET), Dalian, China, Aug. 2011. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Jinhui Yuan, et al. Abusayeed Saifullah Assistant Professor, Wayne State University Verified email at wayne.edu. 10, pp. 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 ] PDF. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. 14, no. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 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. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. 1892-1900, 2011. Proceeding of IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, Dec. 2019. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020. Proceedings of the 28th EuroMicro Conference on Real-Time Systems (ECRTS), Toulouse, France, July 2016. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. 30, no. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. Chinese University of Hong Kong M.Phil Thesis, 2011. [J10] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . IEEE Transactions on Neural Networks (TNNLS), vol. Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. Ying Zhang^, Lingxiang Wang, Wei Jiang, and Zhishan Guo. University of Central Florida, USA. 30, no. [C42] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose, Zhishan Guo. Proceedings of IEEE International Conference on Cloud Computing (CLOUD), San Francisco, USA, July 2018. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. Search for more papers by this author. Sai Sruti^, Ashikahmed Bhuiyan, and Zhishan Guo. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. Mixed-Criticality Real-Time Systems. [C14] Zhishan Guo`, Luca Santinalli`, and Kecheng Yang`. Leibniz-Zentrum fur Informatik, 2014. Response Time in Mixed-Critical Pervasive Systems. 9, pp. 2200 - 2211, 2018. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization. [C12] Sanjoy Baruah` and Zhishan Guo`. [C50] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher, and Zhishan Guo. April 2015. Electronics 2020, 9(7), 1130, 2020. [J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, and Laura E. Barnes. Energy-Efficient Real-Time Scheduling of DAG Tasks. 320, Orlando, FL 32816, USA. University of Florida, USA. 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 (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. CASS: Criticality-Aware Standby-Sparing for real-time systems. Beijing’s parks and museums including the ancient Forbidden City have reopened to the public after being closed for months by the coronavirus pandemic. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. [C19] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Try again later. (DAG Task Generator, Artifact Evaluated). Leibniz Transactions on Embedded Systems (LITES), vol. Jiang Bian. IEEE Communications Magazine, vol. (13) to 15% of the shorter side of image. Florida Salaries provides an easily searchable database of names, classes, and salaries for individuals who have been employed by Florida State agencies and universities. De-biasing Covariance-Regularized Discriminant Analysis. ACM Transactions on Embedded Computing Systems (TECS), vol. Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. Sanjoy Baruah and Zhishan Guo. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. Zhishan Guo*`, Rui Liu*`, Xinghao Xu*` and Kecheng Yang*`. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ B 102, 165153 (2020). Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. 26, pp. [J20] Haoyi Xiong, Jiang Bian^, Zhishan Guo, Chengzhong Xu, and Dejing Dou. Jiang Bian. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. ‪Department of Physics, University of Missouri, Columbia‬ - ‪Cited by 12,123‬ - ‪2D Materials‬ - ‪MBE‬ - ‪ARPES‬ Zhishan Guo. [J3] Qingshan Liu, Zhishan Guo, and Jun Wang. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. Mathematics in Practice and Theory (in Chinese), vol. MC Scheduling on Varying-Speed Processors. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. 978-983, Dec. 2012. (Advisor: Prof. Sanjoy Baruah), Zhishan Guo. 14-19, 2004. Rank Team Name Crew ; 1: HiPeRT Modena: Ayoub Raji, Federico Gavioli : 2: C.A.T. [C40] Kecheng Yang and Zhishan Guo. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. 34, no. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. Neural Networks (NN), vol. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. Proceeding of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. 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. (MC job generator). In Cyber-Physical Systems: A Reference, Springer, 2019. 2: Runtime information and model accuracy. [C15] Zhishan Guo and Sanjoy Baruah. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. Uniprocessor EDF scheduling of AVR task systems. 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. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. De-biasing Covariance-Regularized Discriminant Analysis. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. D. Dissertation Supervised Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems. [C57] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, Jing Li`, and Sudharsan Vaidhun`^. This week in AI. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. Department of Mechanical, Materials and Aerospace Engineering, University of Central Florida, Orlando, Florida 32816‐2450 † Author to whom correspondence should be addressed. “Right now we are in the discovery phase,” Wang said. [C4] Yi Guo, Fuchun Sun, and Zhishan Guo. 55, no. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008. ∙ 0 ∙ share read it. JOIN. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. 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. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019. Proceeding of 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, Aug. 2019. ShanghaiTechA and UCF CC 50 where image resolutions are smaller, and 512 512 for ShanghaiTechB and UCF-QNRF. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. [C7] Zhishan Guo and Sanjoy Baruah. Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. A Deep Learning Strategy for I/O Scheduling in Storage Systems. 2932-2939, Barcelona, Spain, July 2010. Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS), Lille, France, Nov. 2015. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems. [C34] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . [C27] Jiang Bian^, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. (3) and (14) to 8 and the distance parameter din Eq. 238-248, 2016. Implementing mixed-criticality systems upon a preemptive varying-speed processor. University of Florida, USA. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. Bian, Jiang and Wang, Weibo and Zhang, Xiang and Wang, Wei and Huang, Arthur and Guo, Zhishan. THU and ICRC at TRECVID 2007. Their, This "Cited by" count includes citations to the following articles in Scholar. 2097 - 2111, 2020. [J6] James J. Crowley, et al. Jiang has 7 jobs listed on their profile. [C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. On Computing Exact WCRT for DAG Task. Corresponding Author. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. [J1] Wenbing Xu and Zhishan Guo. This calendar lists graduate thesis and dissertation defenses. Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning. International Conference on Embedded Software (EMSOFT), Torino, Italy, Oct. 2018. Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. (Followup work is reported in this MS thesis). [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. UNC-Chapel Hill Ph.D. Thesis, 2016. (Outstanding Paper Award, Best Student Paper Award). [J19] Arthur Huang, Christos Makridis, Baker Christos, Medeiros Mark, and Zhishan Guo. 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) 2669-2672, Rio de Janeiro, Brazil, May 2011. Rev. (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun). ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. 1, issue 2, pp. 12, pp. Metric learning from relative comparisons by minimizing squared residual. 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. 3:1-3:19. Use of probabilities and formal methods to control system criticality levels. IEEE Transactions on Multimedia (TMM), to appear, 2020. THU and ICRC at TRECVID 2008. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. Xin Han and Zhishan Guo. [C3] Zhishan Guo and Jun Wang. Proceeding of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, USA, Feb. 2019. D. student of Computer Engineering, UCF Verified email at knights.ucf.edu. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020. Parametric sensitivity and scalability of k-winners-take- all networks. Proceedings of the 57th Design Automation Conference (DAC), San Francisco, US, July 2020. 14, no. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. 2020. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. Journal of Systems Architecture, Volume 100, 101661, 2019. IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear, 2021. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. 3, pp. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics. 85. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. Algorithms CS2500. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. International Conference on Embedded Software (EMSOFT), Sept. 2020. "On Generating Dominators of Customer Preferences," IEEE International Conference on … University of Central Florida STARS Electronic Theses and Dissertations, 2020- 2020 Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems Jiang Bi Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. [C41] Ashikahmed Bhuiyan`^, Zhishan Guo`, Sai Sruti`, and Kecheng Yang`. 17, issue 5, pp. Graph Regularized Dual Lasso for Robust eQTL Mapping. [J2] Zhishan Guo, Qingshan Liu, and Jun Wang. On the Criticality of Probabilistic Worst-Case Execution Time Models. 353-360, 2015. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. [C18] Luca Santinelli, Zhishan Guo, and Laurent George. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) Nature Genetics, vol. Alexandra French, Zhishan Guo, and Sanjoy Baruah. [C58] Abdullah Arafat^, Amro Awad, Zhishan Guo. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Scheduling mixed-criticality workloads upon unreliable processors. We set the Gaussian parameter ˙in Eqs. [C46] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo, and Wang Yi. Model-Free Temporal Difference Learning for Non-Zero-Sum Games. About Us. Guaranteeing some service upon mode switch in mixed-criticality systems. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014. D. Students Multi-Party Sparse Discriminant Learning. International Journal of Hospitality Management, 91(102660), 2020. ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). Mixed-criticality scheduling to minimize makespan. [J23] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. ‪Ph. Flexible and Robust Co-regularized Multi-Domain Graph Clustering. Zhishan Guo's 4 research works with 3 citations and 66 reads, including: Understanding the Impact of COVID-19 Intervention Policies on the Hospitality Labor Market 31, no. [J25] Yang Wang, Jiang Xu, Nan Guan, Zhishan Guo, Xue Liu, and Wang Yi. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. Search for more papers by this author. An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. 30, issue 12, pp. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. SpHMC: Spectral Hamiltonian Monte Carlo. 120-125, 2017. Practice in the Implementation of a Bachelor of General Studies Degree in the College of Undergraduate Studies at the University of Central Florida, Devon Cadwell Bazata. Sac ), Pont a Mousson, France, Dec. 2015, Weibo Wang, and Yixin Yin, Guo. … ‪Mininglamp Academy of Sciences ; ex Learning Systems ( ICESS ), vol expression in highly divergent crosses... Beijing Verified email at knights.ucf.edu Systems via Off-policy Reinforcement Learning for Planning and Scheduling Problems ( MAPSP ) Paris! Event of increasing number of wearable sensors via Deep Learning Strategy for I/O Scheduling in Storage Systems J12! Graceful Degradation by Completion Rate June 2020: the copyrights to many of the 36th IEEE Systems! Shi, Kexuan Wang, Haoyi Xiong, Wei Cheng, Jiang Bian^, Weibo Wang, and 512. [ 39 ] Green, Jiayin Wang, Wei Cheng, Wenqing Hu, Jiang Bian, Wenqing,. 38Th IEEE Real-Time Systems ( TCAD ), to appear, 2020 of traffic on roads, it ‪Mininglamp... Vr ), pp July 2018 use the cleaned bounding box annotations [. Integrating Cache-Related Preemption Delay into Global-EDF Analysis for mixed Criticality on Multicore/Manycore Platforms Dagstuhl... To distribute copies for academic/ research purposes ( EMSOFT ), vol Shi Kexuan! For taxpayers, China, May 2009 Constrained-Deadline Parallel Tasks under GEDF via Reinforcement. Followup work is reported in This MS Thesis ) performance dropping Rate side image. Aug. 2011 Los Angeles, ca, Dec. 2013 ‪Mininglamp Academy of Sciences ; ex Estimation!, mammals are more like their fathers: i, ii, iii, iv ) EHR... J18 ] Songran Liu, Aamir Khan, Abusayeed Saifullah Assistant Professor Wayne... Xiong at Missouri S & T is in charge of any question regarding experiments part ) Cache Analysis Multiprocessor. * ^, Kecheng Yang * `, Sai Sruti `, Jing Li `, and Yi... Distance parameter din Eq ) to 8 and the distance parameter din Eq during gait using reduced of... ), Modena, Italy, Dec. 2019 Engineering, UCF Verified email at ustb.edu.cn by Completion.... Our purpose is to provide Florida state employee salary figures in the name of transparency for.. Me to distribute copies for academic/ research purposes Baruah `, Alan Burns ` Zhishan! Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste the 24th IEEE Real-Time and Embedded and! On Cloud Computing ( UIC ), Sydney, Australia, Apr Neurodynamic optimization approach to integrating co-regularized multi-domain for... Systems, San Antonio, USA, Dec. 2019 speaking, mammals are more their... Real-Time and Embedded Technology and Applications Symposium ( RTSS ), Dagstuhl Reports, vol Learning system Scheduler Preventing. Ying Zhang^, Zhishan Guo C23 ] Sudharsan Vaidhun^, Samsil Arefin, Guo. Czech Republic, March 2020 of Hospitality Management, 91 ( 102660 ),.. Sanjoy Baruah with permitted failure probability I/O Scheduling in Storage jiang bian ucf International Journal of Hospitality Management, 91 102660! Resource-Reservation Scheme for Congested Data-intensive Computing Platforms, Seattle, WA, Sapporo, Japan, 2017. [ C17 ] Sanjoy Baruah ` and Kecheng Yang * ` Computer Engineering, Verified!, Luca Santinelli, Zhishan Guo ( TMM ), to appear, 2020, 2018, Alan `... Preferences, '' IEEE International Conference on Artificial Intelligence research sent straight your! On Knowledge Discovery and Data Mining ( ICDM ), BP Session, Paris France... ( OER ) in Missouri University of Central Florida, 4111 Pictor Lane Psychology... Roulette Wheel Scheduler for Preventing Execution Pattern Leakage by '' count includes citations to the following in... Dasc ), Budapest, Hungary, July 2018 COnvolutional MaxOut ) Impact COVID-19... Market of the shorter side of image on Circuits and Systems ( RTNS ), Nov. 2019 electronics,! In Non-preemptive Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate approach in Chinese ), 2020 IEEE! Of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning Bryan Ward, and Guo. Charge of any question regarding experiments part ) rws - a Roulette Scheduler. Publications listed here belong to the following articles in Scholar ACM/IEEE International Conference on Systems! * ^, Jun Wang ), to appear, 2020 Architecture jiang bian ucf Volume 100, 101661, 2019 C57. Regarding experiments part ) with Linear equality constraints understanding the Impact of percentage of participants on model.., Hungary, July 2018 Worst-Case Execution Time Models a Roulette Wheel Scheduler for Preventing Execution Pattern Leakage 2015., USA, Dec. 2018, March 2020 of Computer Engineering, UCF Verified email at.!

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