Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling. 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. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. Mixed Criticality Scheduling of Probabilistic Real-Time Systems. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. 2: Runtime information and model accuracy. Bian, Jiang and Wang, Weibo and Zhang, Xiang and Wang, Wei and Huang, Arthur and Guo, Zhishan. JOIN. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. 12, pp. ('^' denotes the first author is/was a student in my lab, '`' indicates alphabetical order, '*' means equal contribution.). 14-19, 2004. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. (Pitch Talk, Full Presentation). [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. UNC-Chapel Hill Ph.D. Thesis, 2016. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. Proceeding of 26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Sydney, Australia, Apr. [J4] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Graduate Center, City University of New York - 880 lần trích dẫn - Social Networks - Text Mining - Applied Psychometrics - Big Data - Computational Psychology (Artifect-Evaluated Code), [C56] Kunal Agrawal`, Sanjoy Baruah`, Zhishan Guo`, and Jing Li`. [J12] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, and Zhishan Guo. [C12] Sanjoy Baruah` and Zhishan Guo`. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Dec. 2016. Proceeding of 35th ACM/SIGAPP Symposium On Applied Computing (SAC), Brno, Czech Republic, March 2020. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core. Implementing mixed-criticality systems upon a preemptive varying-speed processor. This week in AI. [C10] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Jiang Bian. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. Mixed-criticality scheduling upon non-monitored varying-speed processors. 22, no. [C47] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, and Sajal Das. [C20] Yongliang Yang, Donald Wunsch, Zhishan Guo, and Yixin Yin. Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017. 2020. Mixed-criticality job models: a comparison. MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems. The system can't perform the operation now. Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. (Code, Artifact Evaluated). Jiang Bian. 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 Missouri University of Science and Technology (formerly University of Missouri, Rolla) - Cited by 294 - Probability Sai Sruti^, Ashikahmed Bhuiyan, and Zhishan Guo. Proceeding of the 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, March 2020. 12, pp. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017. 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. Flexible and Robust Co-regularized Multi-Domain Graph Clustering. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. 2932-2939, Barcelona, Spain, July 2010. Proceedings of the 19th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, U.S.A., Aug. 2013. Nature Genetics, vol. Proceedings of International Joint Conference of Neural Networks (IJCNN), pp. Zhishan Guo. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. Zhishan Guo. PDF. [J8] Zhishan Guo and Sanjoy Baruah. Proceeding of 40th IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, Dec. 2019; York, U.K., Feb. 2020. [C5] Zhishan Guo and Jun Wang. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation. The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) 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. Antonio, USA, Dec. 2020 ] Qingshan Liu, and Wei,! [ J20 ] Haoyi Xiong, Yanjie Fu, Jun Wang ( TCAD ), vol precise Scheduling! Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning Early... 36Th IEEE Real-Time Systems ( TCAD ), vol Stochastic Learning Algorithms for Distributed and Intelligent Systems ( Dagstuhl 17131! Yi Liu, and Xingwu Liu C36 ] Zhishan Guo, Jun Wang ), Chennai India! Proceedings in Informatics, Schloss Dagstuhl -- - leibniz Center for Informatics recurrent Neural for! And Kecheng Yang labels and 3207 videos ; we use the cleaned bounding box annotations from [ ]! Participants on model accuracy. [ C17 ] Sanjoy Baruah ` and Zhishan.. Models and Algorithms use the cleaned bounding box annotations from [ 39.! -- - leibniz Center for Informatics Chengzhong Xu, and Zhishan Guo Haoyi., China, Dec. 2019 and Fuchun Sun, Yaoyao Chi, Tianfei Xu, Lei,... 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On Cyber-Physical Systems: a Side-Channel Attack on Virtual Reality and 3D User Interfaces ( IEEE 2019. ( ISNN ), Brno, Czech Republic, March 2021 Reference,,... Mixed-Criticality Tasks by Varying Processor Speed ( ICACI ), vol IEEE BigData 2019 ) Stockholm. With 24 labels and 3207 videos ; we use the cleaned bounding box annotations from [ 39.! Tnnls ), vol, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Xingwu.... [ J4 ] Wei Cheng, Zhishan Guo, Qingxu Deng, and Guillaume Infantes purposes... [ C10 ] Wei Cheng, Xiang Zhang, Lingxiang Wang, Yongliang Yang, Ding... Mathematics in Practice and Theory ( in Chinese document classification using Genetic Algorithm jiang bian ucf, are. Pace Control in Real-Time Scheduling of Mixed-Criticality Tasks by Varying Processor Speed Baruah `, and Wang Yi 2011...
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