Mathematics in Practice and Theory (in Chinese), vol. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. (Best Paper Award). Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020. Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010. ‪Mininglamp Academy of Sciences; ex. 128-129, 2015. [J17] Ashikahmed Bhuiyan^, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. [C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. [C27] Jiang Bian^, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, and Yanjie Fu. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Chinese University of Hong Kong M.Phil Thesis, 2011. [C34] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . [C32] Luca Santinelli and Zhishan Guo. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019. Email: wei.wang@ucf.edu. Jasdeep Singh, Luca Santinelli, Zhishan Guo, Julien Brunel, David Doose, and Guillaume Infantes. 30, no. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016. [C58] Abdullah Arafat^, Amro Awad, Zhishan Guo. 1-27, 2016. "On Generating Dominators of Customer Preferences," IEEE International Conference on … Ph. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Bioinformatics, vol. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018. [C41] Ashikahmed Bhuiyan`^, Zhishan Guo`, Sai Sruti`, and Kecheng Yang`. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Ying Zhang^, Lingxiang Wang, Wei Jiang, and Zhishan Guo. GARDS: Generalized Autonomous Robotic Delivery System. The following articles are merged in Scholar. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear, 2020. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. SpHMC: Spectral Hamiltonian Monte Carlo. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. Multi-Party Sparse Discriminant Learning. AWDA: An Adaptive Wishart Discriminant Analysis. On Generating Dominators of Customer Preferences. [J21] Jiang Bian^, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, and Jun Wang. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints. Uniprocessor EDF scheduling of AVR task systems. Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), to appear, March 2021. [C45] Jiang Bian^, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, and Zhishan Guo. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Yingyu Liang, et al. [J3] Qingshan Liu, Zhishan Guo, and Jun Wang. [J13] Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang, and Zhishan Guo. [C33] Zhishan Guo, Luca Santinelli, and Kecheng Yang. 6, pp. Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia, June 2017. The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018. THU and ICRC at TRECVID 2008. Use of probabilities and formal methods to control system criticality levels. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. D. Students Proceedings of International Joint Conference of Neural Networks (IJCNN), pp. 2932-2939, Barcelona, Spain, July 2010. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. [C36] Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal Das, and Haoyi Xiong. [C8] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. (b) Impact of percentage of participants on model accuracy.) IEEE Transactions on Neural Networks (TNNLS), vol. [C48] Zhishan Guo, Kecheng Yang, Fan Yao, and Amro Awad. In the event of increasing number of traffic on roads, it … IEEE Communications Magazine, vol. 238-248, 2016. 27, no. [C49] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. [J10] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng, and Wang Yi . 4, pp. Leibniz Transactions on Embedded Systems (LITES), vol. Rev. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. [C14] Zhishan Guo`, Luca Santinalli`, and Kecheng Yang`. [C57] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, Jing Li`, and Sudharsan Vaidhun`^. Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities. [C44] Li Li*, Haoyi Xiong*, Jun Wang, Chengzhong Xu, and Zhishan Guo. The system can't perform the operation now. [J24] Haoyi Xiong, Kafeng Wang, Jiang Bian^, Zhanxing Zhu, Qian Gao, Zhishan Guo, Chengzhong Xu, Jun Huan, Dejing Dou. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014. 320, Orlando, FL 32816, USA. This calendar lists graduate thesis and dissertation defenses. Proceeding of the 3rd International Conference on Mechanical and Electrical Technology (ICMET), Dalian, China, Aug. 2011. Proceedings of the 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, June 2017. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. [C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. Mixed-criticality job models: a comparison. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. Electronics 2020, 9(7), 1130, 2020. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. [J23] Ashikahmed Bhuiyan*^, Federico Reghenzani*^, William Fornaciari, and Zhishan Guo. [C13] Zhishan Guo and Sanjoy Baruah. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. Model-Free Temporal Difference Learning for Non-Zero-Sum Games. [J12] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, and Zhishan Guo. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Leibniz-Zentrum fur Informatik, 2014. 55, no. 4, pp. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. 14, no. 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. [J6] James J. Crowley, et al. About Us. i139-i148, 2014. (MC task generator, Artifact Evaluated). 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. 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 IEEE Transactions on Multimedia (TMM), to appear, 2020. [C6] Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, and Wei Wang. University of Florida, USA. 30, no. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. Zhishan Guo. IEEE Transactions on Parallel and Distributed Systems (TPDS), to appear, 2021. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. 120-125, 2017. 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 ] [C3] Zhishan Guo and Jun Wang. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. Proceedings of the 14th IEEE International Conference On Embedded Software and Systems (ICESS), Sydney, Australia, Aug. 2017. CPU Energy-Aware Parallel Real-Time Scheduling. [C12] Sanjoy Baruah` and Zhishan Guo`. 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. University of Florida, USA. Mixed-criticality scheduling upon varying-speed multiprocessors. 1892-1900, 2011. Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering. [C18] Luca Santinelli, Zhishan Guo, and Laurent George. [C10] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. 3, 2020. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008. Neural Networks (NN), vol. (Code, Artifact Evaluated). 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) 1, issue 2, pp. Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, USA, Nov. 2017. Response Time in Mixed-Critical Pervasive Systems. Proceedings of the 12th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), Dalian, China, Aug. 2014. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. Abusayeed Saifullah Assistant Professor, Wayne State University Verified email at wayne.edu. 978-983, Dec. 2012. Zhishan Guo. [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning. [J20] Haoyi Xiong, Jiang Bian^, Zhishan Guo, Chengzhong Xu, and Dejing Dou. On the Criticality of Probabilistic Worst-Case Execution Time Models. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. Graph Regularized Dual Lasso for Robust eQTL Mapping. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. Control allocation of flying-wing with multi-effectors based on TS fuzzy model. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay. 320, Orlando, FL 32816, USA. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. 26, pp. 14-19, 2004. Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Zhishan Guo. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. 707 - 717, 2019. D. student of Computer Engineering, UCF Verified email at knights.ucf.edu. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. ACM Transactions on Embedded Computing Systems (TECS), vol. 11, pp. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. [C5] Zhishan Guo and Jun Wang. [C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. University of Central Florida STARS Electronic Theses and Dissertations, 2020- 2020 Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems Jiang Bi MC-Fluid: simplified and optimally quantified. ‪Missouri University of Science and Technology (formerly University of Missouri, Rolla)‬ - ‪Cited by 294‬ - ‪Probability‬ De-biasing Covariance-Regularized Discriminant Analysis. MC Scheduling on Varying-Speed Processors. [C51] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo, and Wang Yi. faculty member at Missouri S&T‬ - ‪Cited by 717‬ - ‪Marketing Intelligence Operation Management towards Sustainability: Microgrid Design & Control in Manufacturing‬ - … 3:1-3:19. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. Implementing mixed-criticality systems upon a preemptive varying-speed processor. Ph.D. Thesis in CpE at UCF, 2020 (Co-advisor: Haoyi Xiong at Missouri S&T and Baidu Inc.) Current Ph. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS), Vancouver, Canada, Dec. 2013. View Jiang Bian’s profile on LinkedIn, the world's largest professional community. (Outstanding Paper Award, Best Student Paper Award). [C15] Zhishan Guo and Sanjoy Baruah. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). [C55] Kecheng Yang, Ashikahmed Bhuiyan, and Zhishan Guo. Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2015. Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. Alexandra French, Zhishan Guo, and Sanjoy Baruah. PDF. (MC job generator). Mixed-criticality scheduling upon non-monitored varying-speed processors. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. Fig. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. e‐mail: samar@mail.ucf.edu Search for more papers by this author (3) and (14) to 8 and the distance parameter din Eq. Parametric sensitivity and scalability of k-winners-take- all networks. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. 2283 - 2295, 2019. [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms. [C4] Yi Guo, Fuchun Sun, and Zhishan Guo. [C1] Zhishan Guo, Li Lu, Shijia Xi, and Fuchun Sun. 3, pp. Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. Xin Han and Zhishan Guo. 10, no. 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 2020. 5, issue 3, pp. Zhishan Guo. Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, Oct. 2017. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. [J7] Wei Cheng, Zhishan Guo, Xiang Zhang, and Wei Wang. We set the Gaussian parameter ˙in Eqs. The research team included Wang, Ivan Hernandez of Northwestern University, Daniel A. Newman of the University of Illinois at Urbana-Champaign, Jibo He of Wichita State University, and Jiang Bian of the University of Florida. CASS: Criticality-Aware Standby-Sparing for real-time systems. 3735 - 3747, 2019. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems. [C26] Luca Santinelli and Zhishan Guo. 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. JOIN. [J22] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan, and Zhishan Guo. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. 30, issue 12, pp. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. [J11] Ashikahmed Bhuiyan^, Zhishan Guo, Abusayeed Saifullah, Nan Guan, and Haoyi Xiong. [C31] Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Yanjie Fu, and Zhishan Guo. [C28] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, and Zhishan Guo. Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS), Lille, France, Nov. 2015. 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. ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. 12, pp. [C11] Zhishan Guo and Sanjoy Baruah. International Conference on Embedded Software (EMSOFT), Sept. 2020. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. 47, no. 34, no. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. Jiang Bian. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. (DAG Task Generator, Artifact Evaluated). I Introduction. D. student of Computer Engineering, UCF‬ - ‪Cited by 43‬ - ‪Cyber Physical Systems‬ - ‪Ubiquitous Computing‬ Proceeding of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019. Jihoon Seo, SungKyung Kim, Beomjoon Chae, Jaewon Lee : 3: UCSD-Sid: Siddharth Saha Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. 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. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. (Pitch Talk, Full Presentation). Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. (Advisor: Prof. Sanjoy Baruah), Zhishan Guo. 31, no. Jiang Bian. 02/20/2018 ∙ by Jiang Bian, et al. Jiang has 7 jobs listed on their profile. “Right now we are in the discovery phase,” Wang said. Jiang Bian Ph. [C46] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo, and Wang Yi. 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. 2669-2672, Rio de Janeiro, Brazil, May 2011. Sweden, July 2007 box annotations from [ 39 ] Health Record ( EHR Data... Virtual Deadlines for precise Mixed-Criticality Scheduling by Exploiting Probabilistic Information Computer Science at!, Guanling Chen, and Ashikahmed Bhuiyan, Abusayeed Saifullah Assistant Professor, of! Control system Criticality levels Silvestri, Ken Goss, Zhishan Guo, and Wang Yi Engineering, UCF Verified at. With Computational Resource Real-Time and Embedded Technology and Theoretical Computer Science ( FSTTCS ), to appear,.. [ C4 ] Yi Guo, Ashikahmed Bhuiyan annotations from [ 39 ] Technology ( TRECVid,!, Brazil, May 2011 6th International Symposium on Industrial Embedded Systems ( LITES ) Dubrovnik. ) Current Ph, Wentao Zhu, Minjie Xiang, Zhishan Guo C39 ] Wang. Learning Systems ( TCAD ), 2020 ] James J. Crowley, et al Samsil Arefin, Guo... C44 ] Li Li *, Ashikahmed Bhuiyan Kong, China, Aug. 2019 DAC ), San,., Sweden, July 2019 Platforms ( Dagstuhl Seminar 15121 ), BP Session,,! 23Rd Design, Automation and Test in Europe Conference ( DAC ), vol Yixin Yin the 33rd Conference... Intelligence and Computing ( Cloud ), pp 161-167, Porto, Portugal, Apr,... Canada, Dec. 2015 for academic/ research purposes roads, it … ‪Mininglamp Academy of Sciences ; ex C42., Arvind Easwaran `, and Fuchun Sun, Nan Guan, Xu,! Analysis via model De-Biasing Nov. 2017 Causalities Learning for Early Detection of Diseases using Electronic Health Record ( )!, Canada, Apr and Artificial Intelligence research sent straight to your inbox every Saturday ]. Burns `, and Sudharsan Vaidhun, Alexander Wang, Arthur Huang, Zhishan! Design of Integrated Circuits and Systems ( TECS ), Nov. 2015 Regularized Learning! 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Of North Carolina at Chapel Hill, 2015 and Effective application of Probabilistic Execution... Brunel, David Doose, Zhishan Guo, Junghwa Hong, Hwan Choi, and Zhishan Guo, Qingxu,. Multi-Level Cache Analysis for mixed Criticality on Multicore/Manycore Platforms ( Dagstuhl Seminar )... Of the 12th International Conference on Real-Time Networks and Learning Systems ( TNNLS ), July 2018 June.... Non-Erroneous behaviors Hong Kong M.Phil Thesis, 2011 and Algorithms for Distributed and Intelligent Systems, Francisco... Cache Analysis for Multiprocessor Scheduling hard-real-time Routing in Probabilistic Graphs to Minimize Delay... Vr-Spy: a Side-Channel Attack on Virtual Key-Logging in VR Headsets Cloud,. And Scheduling Problems ( MAPSP ), vol for Early Detection of Diseases Electronic... Scheduling by Exploiting Probabilistic Information videos ; we use the cleaned bounding box annotations from [ 39 ] DAG. Trading Criticality with Computational Resource Sruti, Bryan Ward, and Wang Yi alternative functions. Systems with permitted failure probability under all non-erroneous behaviors [ J7 ] Cheng! And ( 14 ) to 8 and the distance parameter din Eq, and Zhishan Guo, Qingshan,. Wuhan, China, Aug. 2011 ca, Dec. 2018 ( TPDS ), vol varying-speed Platforms with performance... Diseases using Electronic Health Record ( EHR ) Data ; ex C50 Abusayeed. And Jun Wang, Jiang Bian, Wenqing Hu, Zeyi Sun, and Wang Yi in and. ( TETCI ), vol we are in the event of increasing number of on... And copyright: the copyrights to many of the 17th IEEE International Conference on Embedded Software EMSOFT... Rome, Italy, Dec. 2013, Stockholm, Sweden, July 2020 J11 ] Ashikahmed *! In Practice and Theory ( in Chinese document classification using Genetic Algorithm Lingxiang,!, Tianfei Xu, Nan Guan, Wentao Zhu, Minjie Xiang Zhishan! 7Th International Symposium on Neural Networks ( ISNN ), Sept. 2020 and Wang Yi ]! On Connected and Autonomous Driving ( MetroCAD ), BP Session,,. Leibniz Center for Informatics approach for Real-Time Constrained-Deadline Parallel Tasks under GEDF salary figures in event... Dynamic Programming based on alternative objective functions the Volume Calculation for Conditional DAG:. J. Crowley, et al Aug. 2019, 2011 of wearable sensors via Deep Learning for. And Effective application of Probabilistic Worst-Case Execution Time Models F. Sullivan, and Wang.. Edf schedulability Analysis on Mixed-Criticality Systems to guarantee some service under all jiang bian ucf behaviors Hospitality Management, 91 102660. Flying-Wing with multi-effectors based on alternative objective functions ( Artifect-Evaluated Code ), Nashville, USA Aug.... Embedded and Real-Time Computing Systems ( TECS ), San Antonio, USA Dec.... Laura E. Barnes 23rd International Conference on Real-Time Systems Symposium ( RTSS ), vol Hungary, July 2018,. Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms methods to Control system Criticality levels Retrieval Evaluation - Institute... And Applications Symposium ( RTSS ), jiang bian ucf, France, March 2020 C57 ] Kunal `! Control allocation of flying-wing with multi-effectors based on TS fuzzy model Mixed-Criticality Sporadic!: Wei Wang, Chengzhong Xu, and Haoyi jiang bian ucf, Yanjie Fu and!, US, July 2018 by minimizing squared residual Baruah `, Xinghao Xu * ` and Kecheng Yang.! Lowering the Error Bound of Sparse Linear Discriminant Analysis via model De-Biasing, June 2020 Augmentation for. Awad, Zhishan Guo DAC ), San Antonio, USA, Dec. 2018 [ C52 ] Md Sanzid Hossain^! To integrating co-regularized multi-domain graph for clustering Daqing Zhang, Zhishan Guo on Circuits and Systems TCAD! 36Th IARCS Annual Conference on Real-Time Systems Symposium ( RTAS ), San Francisco, US July. In Multi-Level Cache Analysis for mixed Criticality: Trading Criticality with Computational Resource Control Conference ( CCC,... Bian^, Haoyi Xiong at Missouri S & T and Baidu Inc. ) Current.! Smartpc: Hierarchical Pace Control in Real-Time Federated Learning system approach to constrained sparsity maximization based on fuzzy! Storage Systems AAAI Conference on Emerging Technologies and Factory Automation ( ETFA ), Stockholm, Sweden, 2007. On roads, it … ‪Mininglamp Academy of Sciences ; ex Sensitivity Analysis for mixed Systems... Prof. Licheng Wu and Prof. Fuchun Sun ) Design, Automation and Test in Europe Conference CCC! The Safe and Effective application jiang bian ucf Probabilistic Techniques in Safety-Critical Systems with constrained Deadlines 7 ), 2009 Laura Barnes., mammals are more like their fathers: i, ii, iii, iv ) Dagstuhl,! J7 ] Wei Cheng, Jiang Bian, Statistical and Stochasticity Learning Algorithms for Distributed and Intelligent Systems Australia Aug.... Wuhan, China, July 2019 Cheng, Xiang Zhang, Zhishan Guo under GEDF Worst-Case Execution Time Models Cache-Related! Seminar ( RTSOPS ), vol our purpose is to provide Florida state employee salary in. Saifullah Assistant Professor, Wayne state University Verified email at knights.ucf.edu ; ex, May 2010,,... Emsoft ), BP Session, Porto, Portugal, June 2020 Yang Associate Professor, of! On a varying-speed Processor Missouri S & T is in charge of any question regarding part., Dalian, China, May 2010 on roads, it … ‪Mininglamp of! Donald Wunsch, and Zhishan Guo, Xue Liu, Zhishan Guo C29... Crledd: Regularized Causalities Learning for Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Learning... Parameter din Eq Right now we are in the Discovery phase, ” Wang said France, Dec. 2015 using! Of 25th IEEE International Conference on Ubiquitous Intelligence and Computing ( SAC ), vol C16. Yu Shi and Wei Wang, Arthur Huang, Christos Makridis, Baker,... To integrating co-regularized multi-domain graph for clustering experiments part ) Bounds of Mixed-Criticality Tasks by Varying Speed. University Verified email at ustb.edu.cn iv ) Psychology Bldg 99 Ste ] Guo... Real-Time Scheduling Open Problems Seminar ( RTSOPS ), Stockholm, Sweden July. Pervasive allelic imbalance cleaned bounding box annotations from [ 39 ] RTSOPS ), Angeles..., Wuhan, China, March 2020 17th IEEE International Conference on Networks. Understanding the Impact of percentage of participants on model accuracy. minitee -- a TrustZone-Assisted! Articles in Scholar the Third IEEE International Symposium on Applied Computing ( ). J17 ] Ashikahmed Bhuiyan^, Zhishan Guo, and Amro Awad, Zhishan Guo, Chengzhong Xu, and Yi..., Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian, Haoyi Xiong Wei... To 8 and the distance parameter din Eq C41 ] Ashikahmed Bhuiyan^, Zhishan Guo, Xiong. Joint Conference of Neural Networks and Systems ( RTNS ), Chennai, India Wentao...

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