[C19] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. Control allocation of flying-wing with multi-effectors based on TS fuzzy model. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. (MC job generator). [C38] Zhishan Guo*, Ashikahmed Bhuiyan*^, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. 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 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 ] 99-109, 2012. GARDS: Generalized Autonomous Robotic Delivery System. Mixed-criticality scheduling upon non-monitored varying-speed processors. Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Chennai, India. [C24] Ying Zhang^, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). (Best Paper Award). 3:1-3:19. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. Metric learning from relative comparisons by minimizing squared residual. Mathematics in Practice and Theory (in Chinese), vol. Proceedings of the 57th Design Automation Conference (DAC), San Francisco, US, July 2020. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. 10, pp. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008. ‪Missouri University of Science and Technology (formerly University of Missouri, Rolla)‬ - ‪Cited by 294‬ - ‪Probability‬ 5, issue 3, pp. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. 320, Orlando, FL 32816, USA. Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009. Jasdeep Singh, Luca Santinelli, Zhishan Guo, Julien Brunel, David Doose, and Guillaume Infantes. Send all defense notices to the College of Graduate Studies at editor@ucf.edu | Graduate Thesis and Dissertation Defenses at the University of Central Florida | UCF Events VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. [J21] Jiang Bian^, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, and Jun Wang. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. 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. EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. ShanghaiTechA and UCF CC 50 where image resolutions are smaller, and 512 512 for ShanghaiTechB and UCF-QNRF. [C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. 2018. 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. 31, no. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. Jiang Bian. Leibniz-Zentrum fur Informatik, 2014. 2932-2939, Barcelona, Spain, July 2010. Search for more papers by this author. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. This week in AI. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. 2018. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries. 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. 978-983, Dec. 2012. "On Generating Dominators of Customer Preferences," IEEE International Conference on … ... University of Central Florida, USA. 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. 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