Zhishan Guo

Orcid: 0000-0002-5967-1058

According to our database1, Zhishan Guo authored at least 119 papers between 2007 and 2024.

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Bibliography

2024
Correction to: AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov., 2024

Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
IEEE Trans. Intell. Transp. Syst., November, 2023

Wearable Motion Capture: Reconstructing and Predicting 3D Human Poses From Wearable Sensors.
IEEE J. Biomed. Health Informatics, November, 2023

Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification.
Real Time Syst., September, 2023

Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.
IEEE J. Biomed. Health Informatics, June, 2023

AA-forecast: anomaly-aware forecast for extreme events.
Data Min. Knowl. Discov., May, 2023

Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors.
IEEE Trans. Computers, 2023

Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions.
ACM Comput. Surv., 2023

Efficient Backdoor Removal Through Natural Gradient Fine-tuning.
CoRR, 2023

SEAM: An Optimal Message Synchronizer in ROS with Well-Bounded Time Disparity.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

Stealing Static Slack Via WCRT and Sporadic P-Servers in Deadline-Driven Scheduling.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

Real-Time Scheduling of Autonomous Driving System with Guaranteed Timing Correctness.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

TensorRT Implementations of Model Quantization on Edge SoC.
Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

SSDA: Secure Source-Free Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Precise Scheduling of DAG Tasks with Dynamic Power Management.
Proceedings of the 35th Euromicro Conference on Real-Time Systems, 2023

2022
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 J. Biomed. Health Informatics, 2022

Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Mixed-Criticality Scheduling Upon Permitted Failure Probability and Dynamic Priority.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J., 2022

Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH.
CoRR, 2022

GLARE: A Dataset for Traffic Sign Detection in Sun Glare.
CoRR, 2022

Worst-Case Time Disparity Analysis of Message Synchronization in ROS.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

Response Time Analysis for Prioritized DAG Task with Mutually Exclusive Vertices.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

Scheduling Constrained-Deadline Tasks in Precise Mixed-Criticality Systems on a Varying-Speed Processor.
Proceedings of the RTNS 2022: The 30th International Conference on Real-Time Networks and Systems, Paris, France, June 7, 2022

A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Protoformer: Embedding Prototypes for Transformers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Response time analysis for dynamic priority scheduling in ROS2.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Estimation of Hip, Knee, and Ankle Joint Moment Using a Single IMU Sensor on Foot Via Deep Learning.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021
Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks.
IEEE Trans. Parallel Distributed Syst., 2021

COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim., 2021

Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data, 2021

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Mixed-criticality real-time scheduling of gang task systems.
Real Time Syst., 2021

Narrowing the speedup factor gap of partitioned EDF.
Inf. Comput., 2021

VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets.
Proceedings of the IEEE Virtual Reality and 3D User Interfaces, 2021

Calculating Worst-Case Response Time Bounds for OpenMP Programs with Loop Structures.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors.
Proceedings of the RTNS'2021: 29th International Conference on Real-Time Networks and Systems, 2021

Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks.
Proceedings of the 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2021

2020
Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core.
IEEE Trans. Parallel Distributed Syst., 2020

MP<sup>2</sup>SDA: Multi-Party Parallelized Sparse Discriminant Learning.
ACM Trans. Knowl. Discov. Data, 2020

Efficient Feasibility Analysis for Graph-Based Real-Time Task Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Inter-task cache interference aware partitioned real-time scheduling.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay.
Proceedings of the 41st IEEE Real-Time Systems Symposium, 2020

Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020

The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

CPU Energy-Aware Parallel Real-Time Scheduling.
Proceedings of the 32nd Euromicro Conference on Real-Time Systems, 2020

On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms<sup>*</sup>.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

On Computing Exact WCRT for DAG Tasks†.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-Cores.
IEEE Trans. Parallel Distributed Syst., 2019

Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst., 2019

CASS: Criticality-Aware Standby-Sparing for real-time systems.
J. Syst. Archit., 2019

Mixed Criticality Scheduling of Probabilistic Real-Time Systems.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2019

SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

Precise scheduling of mixed-criticality tasks by varying processor speed.
Proceedings of the 27th International Conference on Real-Time Networks and Systems, 2019

EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness.
Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms.
Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019

Model-Free Temporal Difference Learning for Non-Zero-Sum Games.
Proceedings of the International Joint Conference on Neural Networks, 2019

On Generating Dominators of Customer Preferences.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SpHMC: Spectral Hamiltonian Monte Carlo.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Energy-Efficient Real-Time Scheduling of DAG Tasks.
ACM Trans. Embed. Comput. Syst., 2018

A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks Under GEDF.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2018

Work-in-Progress: Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed.
Proceedings of the 2018 IEEE Real-Time Systems Symposium, 2018

An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines Under Dynamic Priority Scheduling.
Proceedings of the 2018 IEEE Real-Time Systems Symposium, 2018

Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate.
Proceedings of the 2018 IEEE Real-Time Systems Symposium, 2018

Work-in-Progress: RWS - A Roulette Wheel Scheduler for Preventing Execution Pattern Leakage.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2018

De-biasing Covariance-Regularized Discriminant Analysis.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR, 2017

Near-Optimal Incentive Allocation for Piggyback Crowdsensing.
IEEE Commun. Mag., 2017

Response time in mixed-critical pervasive systems.
Proceedings of the 2017 IEEE SmartWorld, 2017

Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

On the Criticality of Probabilistic Worst-Case Execution Time Models.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2017

Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems.
Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017

Sustainability in Mixed-Criticality Scheduling.
Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017

Handling write backs in multi-level cache analysis for WCET estimation.
Proceedings of the 25th International Conference on Real-Time Networks and Systems, 2017

Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

AWDA: An Adaptive Wishart Discriminant Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-party Sparse Discriminant Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks.
Proceedings of the 29th Euromicro Conference on Real-Time Systems, 2017

2016
Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties.
PhD thesis, 2016

A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility.
IEEE Trans. Neural Networks Learn. Syst., 2016

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.
ACM Trans. Knowl. Discov. Data, 2016

Mixed-Criticality Scheduling on Varying-Speed Platforms with Bounded Performance Drop Rate.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Mixed-Criticality Scheduling to Minimize Makespan.
Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2016

Scheduling Mixed-Criticality Systems to Guarantee Some Service under All Non-erroneous Behaviors.
Proceedings of the 28th Euromicro Conference on Real-Time Systems, 2016

Fault-aware sensitivity analysis for probabilistic real-time systems.
Proceedings of the 2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2016

2015
MC-Fluid: Simplified and Optimally Quantified.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

The concurrent consideration of uncertainty in WCETs and processor speeds in mixed-criticality systems.
Proceedings of the 23rd International Conference on Real Time Networks and Systems, 2015

EDF Schedulability Analysis on Mixed-Criticality Systems with Permitted Failure Probability.
Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2015

Uniprocessor EDF scheduling of AVR task systems.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

2014
Implementing Mixed-criticality Systems Upon a Preemptive Varying-speed Processor.
Leibniz Trans. Embed. Syst., 2014

Graph-regularized dual Lasso for robust eQTL mapping.
Bioinform., 2014

Scheduling Mixed-Criticality Implicit-Deadline Sporadic Task Systems upon a Varying-Speed Processor.
Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014

Mixed-Criticality Scheduling upon Varying-Speed Multiprocessors.
Proceedings of the IEEE 12th International Conference on Dependable, 2014

2013
Mixed-criticality scheduling upon non-monitored varying-speed processors.
Proceedings of the 8th IEEE International Symposium on Industrial Embedded Systems, 2013

Mixed-Criticality Scheduling upon Varying-Speed Processors.
Proceedings of the IEEE 34th Real-Time Systems Symposium, 2013

Flexible and robust co-regularized multi-domain graph clustering.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
Neural Networks, 2012

Metric Learning from Relative Comparisons by Minimizing Squared Residual.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints.
IEEE Trans. Neural Networks, 2011

Information retrieval from large data sets via multiple-winners-take-all.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010
Parametric Sensitivity and Scalability of <i>k</i>-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions.
Proceedings of the Advances in Neural Networks, 2010

A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm.
Proceedings of the Advances in Neural Networks, 2009

2008

2007


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