Zhishan Guo

Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors

IEEE Transactions on Computers.

Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification

Abdelzaher, T., Agrawal, K., Baruah, S., Burns, A., Davis, R. I. I., Guo, Z., & Hu, Y. (2023, March 13). REAL-TIME SYSTEMS, Vol. 3.

A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements

Presented at the 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS).

A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19

Presented at the Hawaii International Conference on System Sciences.

DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living

IEEE Journal of Biomedical and Health Informatics, 26(8), 3906–3917.

Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints

IEEE Transactions on Emerging Topics in Computational Intelligence, 6(4), 839–851.

Estimating lower extremity joint angles during gait using reduced number of sensors count via deep learning

(Y. Xie, X. Jiang, W. Tao, & D. Zeng, Eds.).

Estimation of Hip, Knee, and Ankle Joint Moment Using a Single IMU Sensor on Foot Via Deep Learning

2022 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE 2022), pp. 25–33.

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey

IEEE Internet of Things Journal, 9(11), 8364–8386.

Mixed-Criticality Scheduling Upon Permitted Failure Probability and Dynamic Priority

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(1), 62–75.

Protoformer: Embedding Prototypes for Transformers

Response Time Analysis for Prioritized DAG Task with Mutually Exclusive Vertices

2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 460–473.

Response time analysis for dynamic priority scheduling in ROS2

Presented at the DAC '22: 59th ACM/IEEE Design Automation Conference.

Time Series Prediction with Anomaly-Aware Recurrent Neural Networks

Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD). Presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Grenoble.

Worst-Case Time Disparity Analysis of Message Synchronization in ROS

2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 40–52.

A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

A network analysis of cross-occupational skill transferability for the hospitality industry

International Journal of Contemporary Hospitality Management, 33(12), 4215–4236.

An Ensemble Machine Learning Approach for the Estimation of Lower Extremity Kinematics Using Shoe-Mounted IMU Sensors

Presented at the 26th Annual Meeting of the GCMAS.

COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut

IEEE Transactions on Multimedia, 23, 1722–1730.

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data

IEEE Transactions on Emerging Topics in Computational Intelligence, 5(4), 541–553.

Calculating Worst-Case Response Time Bounds for OpenMP Programs with Loop Structures

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

Mixed-criticality real-time scheduling of gang task systems

Real-Time Systems, 57(3), 268–301.

Narrowing the speedup factor gap of partitioned EDF

Information and Computation, 281, 104743.

Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks

IEEE Transactions on Parallel and Distributed Systems, 32(6), 1322–1339.

Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors

Presented at the RTNS'2021: 29th International Conference on Real-Time Networks and Systems.

Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks

Presented at the 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics

ACM Transactions on Knowledge Discovery from Data, 15(2), 1–21.

Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks

Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).

Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems

Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge. Presented at the 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge, Dortmund, DE.

VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets

CPU Energy-Aware Parallel Real-Time Scheduling

Proceedings of the 32th Euromicro Conference on Real-Time Systems (ECRTS). Presented at the 32th Euromicro Conference on Real-Time Systems (ECRTS), Modena, Italy.

Efficient Feasibility Analysis for Graph-Based Real-Time Task Systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11), 3385–3397.

Efficient Feasibility Analysis for Graph-based Real-Time Task Systems

International Conference on Embedded Software (EMSOFT). Presented at the International Conference on Embedded Software (EMSOFT).

Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core

IEEE Transactions on Parallel and Distributed Systems, 31(9), 2097–2111.

F2VD

Presented at the ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design.

GARDS: Generalized Autonomous Robotic Delivery System

Presented at the 2020 International Conference on Connected and Autonomous Driving (MetroCAD).

Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay

2020 IEEE Real-Time Systems Symposium (RTSS).

Inter-task cache interference aware partitioned real-time scheduling

Presented at the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing.

MP ^{2 SDA}

ACM Transactions on Knowledge Discovery from Data, 14(3), 1–22.

MiniTEE—A Lightweight TrustZone-Assisted TEE for Real-Time Systems

Electronics, 9(7), 1130.

Mixed Criticality Scheduling of Probabilistic Real-Time Systems

Proceeding of the 10th European Congress on Embedded Real Time Software and Systems. Presented at the 0th European Congress on Embedded Real Time Software and Systems, Toulouse, France.

On Computing Exact WCRT for DAG Tasks

Presented at the 2020 57th ACM/IEEE Design Automation Conference (DAC).

On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms

Presented at the 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11), 3906–3917.

Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

International Conference on Embedded Software (EMSOFT). Presented at the International Conference on Embedded Software (EMSOFT).

Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning

Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB). Presented at the 44th Meetings of the American Society of Biomechanics (ASB).

Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities

Presented at the 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading

Presented at the 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

The safe and effective application of probabilistic techniques in safety-critical systems

Presented at the ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design.

Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries

SSRN Electronic Journal.

Understanding the impact of COVID-19 intervention policies on the hospitality labor market

International Journal of Hospitality Management, 91, 102660.

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing

$\mathcal{DBSDA}$ . IEEE Transactions on Neural Networks and Learning Systems, 30(3), 707–717.

CASS: Criticality-Aware Standby-Sparing for real-time systems

Journal of Systems Architecture, 100, 101661.

Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems, 30(12), 3735–3747.

EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness

Presented at the 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms

Presented at the 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-Cores

IEEE Transactions on Parallel and Distributed Systems, 30(10), 2283–2295.

Mixed Criticality Scheduling of Probabilistic Real-Time Systems

Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems

Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).

Model-Free Temporal Difference Learning for Non-Zero-Sum Games

Presented at the 2019 International Joint Conference on Neural Networks (IJCNN).

On Generating Dominators of Customer Preferences

Presented at the 2019 IEEE International Conference on Big Data (Big Data).

Precise scheduling of mixed-criticality tasks by varying processor speed

Presented at the RTNS 2019: 27th International Conference on Real-Time Networks and Systems.

SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System

Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).

SpHMC: Spectral Hamiltonian Monte Carlo

Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5516–5524.

Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems

Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).

A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks Under GEDF

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(11), 2200–2211.

A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF

International Conference on Embedded Software (EMSOFT). Presented at the International Conference on Embedded Software (EMSOFT), Torino, Italy.

A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource

Presented at the 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

Algorithms CS2500

[Open Educational Resource]. Missouri University of Science and Technology Scholars' Mine Course Materials.

An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines Under Dynamic Priority Scheduling

Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).

DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms

Presented at the 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

De-biasing Covariance-Regularized Discriminant Analysis

Presented at the Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}.

Energy-Efficient Real-Time Scheduling of DAG Tasks

ACM Transactions on Embedded Computing Systems, 17(5), 1–25.

Mixed-Criticality Real-Time Systems

Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors

Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines

Real-Time Scheduling Open Problems Seminar (RTSOPS). Presented at the Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain.

Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate

Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).

Use of probabilities and formal methods to control system criticality levels

Real-Time Scheduling Open Problems Seminar (RTSOPS). Presented at the Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain.

Work-in-Progress: Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed

Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).

Work-in-Progress: RWS - A Roulette Wheel Scheduler for Preventing Execution Pattern Leakage

Presented at the 2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

AWDA: An Adaptive Wishart Discriminant Analysis

Presented at the 2017 IEEE International Conference on Data Mining (ICDM).

Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks

Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS). Presented at the 29th Euromicro Conference on Real-Time Systems (ECRTS), Dubrovnik, Croatia.

Guaranteeing some service upon mode switch in mixed-criticality systems

In Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar No. 17131). https://www.ece.ucf.edu/~zsguo/pubs/conference_workshop/Dagstuhl17131.pdf

Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine

Handling write backs in multi-level cache analysis for WCET estimation

Presented at the RTNS '17: 25th International Conference on Real-Time Networks and Systems.

Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache

Presented at the 2017 IEEE Trustcom/BigDataSE/ICESS.

Multi-party Sparse Discriminant Learning

Presented at the 2017 IEEE International Conference on Data Mining (ICDM).

Near-Optimal Incentive Allocation for Piggyback Crowdsensing

IEEE Communications Magazine, 55(6), 120–125.

Off-policy reinforcement learning for robust control of discrete-time uncertain linear systems

Presented at the 2017 36th Chinese Control Conference (CCC).

On the Criticality of Probabilistic Worst-Case Execution Time Models

Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests

In Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar No. 17131).

Response time in mixed-critical pervasive systems

Presented at the 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Sustainability in Mixed-Criticality Scheduling

Presented at the 2017 IEEE Real-Time Systems Symposium (RTSS).

Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems

Presented at the 2017 IEEE Real-Time Systems Symposium (RTSS).

A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility

IEEE Transactions on Neural Networks and Learning Systems, 27(2), 238–248.

CGC

ACM Transactions on Knowledge Discovery from Data, 10(4), 1–27.

Fault-aware sensitivity analysis for probabilistic real-time systems

Presented at the 2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT).

Mixed-Criticality Scheduling on Varying-Speed Platforms with Bounded Performance Drop Rate

Presented at the 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

Mixed-criticality scheduling to minimize makespan

Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS). Presented at the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) Leibniz International Proceedings in Informatics, Chennai, India.

Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties

(Ph.D. Thesis). University of North Carolina-Chapel Hill.

Scheduling Mixed-Criticality Systems to Guarantee Some Service under All Non-erroneous Behaviors

Presented at the 2016 28th Euromicro Conference on Real-Time Systems (ECRTS).

A Survey of Real-Time Automotive Systems

[Department of Computer Science Technical Report]. University of North Carolina at Chapel Hill.

Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance

Nature Genetics, 47(4), 353–360.

EDF Schedulability Analysis on Mixed-Criticality Systems with Permitted Failure Probability

Presented at the 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

MC Scheduling on Varying-Speed Processors

In Dagstuhl Reports (Dagstuhl Seminar No. 15121; Vol. 5, pp. 128–129).

MC-Fluid: Simplified and Optimally Quantified

Presented at the 2015 IEEE Real-Time Systems Symposium (RTSS).

Mixed-criticality job models: a comparison

Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems. Presented at the 3rd Workshop on Mixed-Criticality Systems (2015, San Antonio, TX), Workshop on Mixed-Criticality Systems (WMC), San Antonio, Texas, USA.

The concurrent consideration of uncertainty in WCETs and processor speeds in mixed-criticality systems

Presented at the RTNS '15: 23rd International Conference on Real-Time Networks and Systems.

Uniprocessor EDF scheduling of AVR task systems

Presented at the ICCPS '15: ACM/IEEE 6th International Conference on Cyber-Physical Systems.

Graph Regularized Dual Lasso for Robust eQTL Mapping

Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB). Presented at the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, MA, USA.

Graph-regularized dual Lasso for robust eQTL mapping

Bioinformatics, 30(12), i139–i148.

Implementing mixed-criticality systems upon a preemptive varying-speed processor

Leibniz Transactions on Embedded Systems (LITES), 1(2), 3:1–3:19.

Mixed-Criticality Scheduling upon Varying-Speed Multiprocessors

Presented at the 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC).

Scheduling Mixed-Criticality Implicit-Deadline Sporadic Task Systems upon a Varying-Speed Processor

Presented at the 2014 IEEE Real-Time Systems Symposium (RTSS).

Flexible and robust co-regularized multi-domain graph clustering

Presented at the KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Mixed-Criticality Scheduling upon Varying-Speed Processors

Presented at the 2013 IEEE 34th Real-Time Systems Symposium (RTSS).

Mixed-criticality scheduling upon non-monitored varying-speed processors

Presented at the 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES).

Scheduling mixed-criticality workloads upon unreliable processors

The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP). Presented at the 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France.

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization

Neural Networks, 26, 99–109.

Control Allocation of Flying-Wing with Multi-Effectors Based on T-S Fuzzy Model

In International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-London 2011), Volumes 1–3 (pp. 231–235).

Metric Learning from Relative Comparisons by Minimizing Squared Residual

Presented at the 2012 IEEE 12th International Conference on Data Mining (ICDM).

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints

IEEE Transactions on Neural Networks, 22(12), 1892–1900.

Information retrieval from large data sets via multiple-winners-take-all

Presented at the 2011 IEEE International Symposium on Circuits and Systems (ISCAS).

A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions

Presented at the 2010 International Joint Conference on Neural Networks (IJCNN).

Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions

In L. Zhang, B. L. Lu, & J. Kwok (Eds.), Advances in Neural Networks - ISNN 2010.

An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm

Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles

(Honors Undergraduate Thesis). Tsinghua University.

THU and ICRC at TRECVID 2008

National Institute of Standards and Technology.

THU and ICRC at TRECVID 2007

National Institute of Standards and Technology.

Three-failure match

Mathematics in Practice and Theory, 34(11), 14–19.

A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization

Guo, Z. (Masters thesis). Chinese University of Hong Kong.