Zhishan Guo
Real-Time Systems, Neural Networks, Machine Learning
Works (138)
Updated: April 4th, 2024 09:50
2023 journal article
AA-forecast: anomaly-aware forecast for extreme events
Data Mining and Knowledge Discovery, 37(3), 1209–1229.
TL;DR:
This work proposes an anomaly-aware forecast framework that leverages the effects of anomalies to improve its prediction accuracy during the presence of extreme events and employs a dynamic uncertainty optimization algorithm that reduces the uncertainty of forecasts in an online manner.
(via Semantic Scholar)
link.springer.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Sources: Crossref, ORCID
Added: July 2, 2023
2023 article
Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model
2023 IEEE 29TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, RTAS, pp. 67–79.
author keywords: Mixed-Criticality; Compositional Scheduling; Resource Criticality; Demand Bound Functions; AUTOSAR
TL;DR:
An analytical model and a demand-bound function-based schedulability test are presented for the EDFbased scheduler in the proposed compositional mixed-criticality system and the general performance of the scheduling framework and its wider applicability is demonstrated and evaluated using synthetic workloads and resource models.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: July 31, 2023
2023 journal article
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(6), 2829–2840.
author keywords: Sensors; Kinetic theory; Legged locomotion; Estimation; Deep learning; Data models; Predictive models; Kinetics estimation; wearable IMU sensor; joint moment; ground reaction force; deep learning; machine learning
MeSH headings : Humans; Deep Learning; Biomechanical Phenomena; Walking; Lower Extremity; Knee Joint; Gait
TL;DR:
This paper proposes a novel deep learning model, Kinetics-FM-DLR-Ensemble-Net for single limb prediction of hip, knee, and ankle joint moments and 3-dimensional GRFs using three IMU sensors on the thigh, shank, and foot under several representatives walking conditions in daily living.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: ORCID, Web Of Science
Added: June 19, 2023
2023 article
GLARE: A Dataset for Traffic Sign Detection in Sun Glare
Gray, N., Moraes, M., Bian, J., Wang, A., Tian, A., Wilson, K., … Guo, Z. (2023, July 28). IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 7.
author keywords: Traffic sign detection; public data set; sun glare
TL;DR:
The experimental study shows that although several state-of-the-art baseline architectures have demonstrated good performance on traffic sign detection in conditions without sun glare in the past, they performed poorly when tested against GLARE, a collection of images with U.S-based traffic signs under heavy visual interference by sunlight.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 21, 2023
2023 journal article
Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors
IEEE Transactions on Computers.
TL;DR:
This paper proposes three novel scheduling algorithms that are based on virtual-deadline and fluid-scheduling approaches and proves the correctness of the proposed algorithms through schedulability analysis and also presents their theoretical effectiveness via speedup bounds and approximation factor calculations.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2023 article
Real-Time Scheduling of Autonomous Driving System with Guaranteed Timing Correctness
2023 IEEE 29TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, RTAS, pp. 185–197.
TL;DR:
This paper formulates the AD system as a multi-rate DAG and proposes an integrated framework to co-analyze the schedulability of individual tasks and the end-to-end latency of task chains in the multi- rate DAG.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: July 31, 2023
2023 article
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.
author keywords: Real-time; Classifiers; Optimal ordering; DNN; Arbitrary dependences
TL;DR:
Optimal algorithms are developed for sequentially ordering IDK classifiers into an IDK cascade, such that the expected duration to successfully classify an input is minimized, optionally subject to a latency constraint on the worst-case overall execution duration of the IDK cascade.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: April 4, 2023
2023 journal article
Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions
ACM Computing Surveys, 55(14S).
author keywords: Real-time; fault-tolerance; mixed-criticality
TL;DR:
A joint scheduling-failure analysis model is proposed that highlights the formal interactions among software fault tolerance mechanisms and timing properties and allows for many open research questions to be presented and discussed with the final aim to spur future research activities.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Crossref, ORCID, Web Of Science
Added: June 26, 2023
2023 journal article
Wearable Motion Capture: Reconstructing and Predicting 3D Human Poses From Wearable Sensors
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(11), 5345–5356.
author keywords: 3D pose reconstruction; 3d pose prediction; recurrent neural network; wearable sensing
TL;DR:
The proposed AttRNet shows high accuracy on the new lower-limb WearableMotionCapture dataset, and it also outperforms the state-of-the-art methods on two public full-body pose datasets: DIP-IMU and TotalCaputre.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: January 16, 2024
2022 article proceedings
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).
Event: 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS)
TL;DR:
This paper proposes an extension to the traditional MC scheduling theory to implement fault tolerance strategies against transient faults, with the goal of complying with both failure and timing requirements, and introduces the dropping relationships that generalize the concept of criticality.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2022 article proceedings
A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19
Presented at the Hawaii International Conference on System Sciences.
Event: Hawaii International Conference on System Sciences
TL;DR:
DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic, outperforms the state-of-art models and can accurately predict the effect of theCOVID- 19 pandemic on hotel demand and revenue.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2022 journal article
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.
MeSH headings : Ankle Joint; Biomechanical Phenomena; Gait; Humans; Lower Extremity; Neural Networks, Computer; Shoes
TL;DR:
This is the first study that uses a reduced number of IMU sensors to estimate kinematics in multiple walking environments and proposes a novel framework, DeepBBWAE-Net, that implements ensemble techniques such as bagging, boosting, and weighted averaging to improve kinematic predictions.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2022 journal article
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.
TL;DR:
This paper proposes a scalable framework that allows path planning for a large number of unmanned aerial vehicles (UAVs) taking into account the deadline and weather constraints and demonstrates that the proposed framework is able to route 80% of the workloads while not exceeding the sector capacity constraints, even under dynamic weather conditions.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2022 article proceedings
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.).
Ed(s): Y. Xie, X. Jiang, W. Tao & D. Zeng
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022)
TL;DR:
Deep learning is used to estimate joint angle during gait using only two IMU sensors mounted on participants' shoes under four different walking conditions, i.e., treadmill, overground, stair, and slope, which outperforms the baseline and improves the Root Mean Square Error of joint angle prediction.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2022 article
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.
author keywords: Deep Learning; Joint Moment; Inertial Measurement Unit
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: March 20, 2023
2022 journal article
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey
IEEE Internet of Things Journal, 9(11), 8364–8386.
TL;DR:
This article will rigorously explore the state-of-the-art results emphasizing the strengths and weaknesses in ML/DL-based scheduling techniques, accuracy versus execution time tradeoff policies of ML algorithms, and security and privacy of learning-based algorithms in real-time IoT systems.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2022 journal article
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.
TL;DR:
The mixed-criticality task model with multiple worst case execution time (WCET) estimations is extended to incorporate system-level certification restrictions, and a 0/1 covariance matrix is introduced to represent the failure dependency between tasks.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2022 chapter book
Protoformer: Embedding Prototypes for Transformers
TL;DR:
Protoformer is a novel self-learning framework for Transformers that can leverage problematic samples for text classification and features a selection mechanism for embedding samples that allows it to efficiently extract and utilize anomalies prototypes and difficult class prototypes.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2022 article
Response Time Analysis for Prioritized DAG Task with Mutually Exclusive Vertices
2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 460–473.
TL;DR:
A dynamic programming algorithm is developed that is able to estimate the WCRT bound within pseudo-polynomial time for the prioritized DAG with a constant number of mutual exclusive vertices, and it is proved that the corresponding W CRT bound computation problem is strongly NP-hard.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: February 20, 2023
2022 article proceedings
Response time analysis for dynamic priority scheduling in ROS2
Presented at the DAC '22: 59th ACM/IEEE Design Automation Conference.
Event: DAC '22: 59th ACM/IEEE Design Automation Conference
TL;DR:
This paper proposes a deadline-based scheduling strategy for the ROS2 executor and presents an analysis for an end-to-end response time of ROS2 workload (processing chain) and an evaluation of the proposed scheduling Strategy for real workloads.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2022 conference paper
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.
Event: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) at Grenoble on September 19-23, 2022
Source: NC State University Libraries
Added: April 21, 2023
2022 article
Worst-Case Time Disparity Analysis of Message Synchronization in ROS
2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022), pp. 40–52.
TL;DR:
This paper model the message synchronization policy in ROS and formally analyze its worst-case time disparity (maximal difference among the timestamps of the messages grouped into the same output set), and conducts experiments to evaluate the precision of the proposed time disparity upper bound against the maximal observed time disparity in real execution.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: February 20, 2023
2021 article proceedings
A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors
Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).
Event: 2021 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
This paper studies the energy-aware real-time scheduling of Directed Acyclic Graph (DAG) tasks and integrates the Dynamic Power Management (DPM) policy to reduce the Worst-Case Energy Consumption (WCEC), which is an essential requirement for energy-constrained systems.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 journal article
A network analysis of cross-occupational skill transferability for the hospitality industry
International Journal of Contemporary Hospitality Management, 33(12), 4215–4236.
author keywords: Transferable skills; Employability; Network analysis; Career mobility; Career transition; Career agility
UN Sustainable Development Goal Categories
1. No Poverty
(Web of Science)
8. Decent Work and Economic Growth
(Web of Science; OpenAlex)
10. Reduced Inequalities
(Web of Science)
Sources: Crossref, ORCID, Web Of Science
Added: October 12, 2021
2021 article proceedings
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.
Event: 26th Annual Meeting of the GCMAS
TL;DR:
This paper proposes a new machine learning algorithm that provides highly accurate and real-time hip, knee, and ankle joint angle estimations in the sagittal plane using two shoe-mounted IMU sensors and adapted five deep learning networks by implementing various configurations of Convolutional Neural Networks or Long-Short Term Memory Networks to leverage the advantage of each model.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 journal article
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut
IEEE Transactions on Multimedia, 23, 1722–1730.
TL;DR:
The classic MaxOut strategy is extended into COnvolutional MaxOut (COMO) — a new strategy making deep convolutional neural networks wider with parameter efficiency, which outperforms the existing solutions that make networks wider, and it dominates in the comparison of accuracy versus parameter sizes.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2021 journal article
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data
IEEE Transactions on Emerging Topics in Computational Intelligence.
TL;DR:
CRLEDD – Causality-Regularized Learning for Early Detection of Disease, an algorithm to improve the performance of Linear Discriminant Analysis (LDA) on top of diagnosis-frequency vector data representation and compares it with other regularized LDA and downstream classifiers.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Source: ORCID
Added: March 26, 2023
2021 article proceedings
Calculating Worst-Case Response Time Bounds for OpenMP Programs with Loop Structures
Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).
Event: 2021 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
This paper forms the workload of OpenMP task systems with loop structures as the cyclic graph model and develops a linear-time dynamic programming algorithm to compute the WCRT bound without unrolling loops or explicitly enumerating the execution flows.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 journal article
Mixed-criticality real-time scheduling of gang task systems
Real-Time Systems, 57(3), 268–301.
TL;DR:
This work addresses the MC scheduling of parallel tasks of gang model that allows workloads to execute on multiple cores simultaneously, as well as the change to degree of parallelism of a task upon a mode switch, and proposes a new technique GEDF-VD, which integrates Global Earliest Deadline First (GEDF) and Earliest deadline First with Virtual Deadline (EDf-VD).
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 journal article
Narrowing the speedup factor gap of partitioned EDF
Information and Computation, 281, 104743.
TL;DR:
A novel method to discretize and regularize sporadic task sets which are schedulable on uniprocessors, and obtain that the ratio (ρ) of the approximate demand bound value to machine capacity is upper bounded by 1.5556 for the arbitrary deadline case, which plays an important role in estimating the speed factor of Partitioned-EDF.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: ORCID
Added: March 26, 2023
2021 journal article
Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks
IEEE Transactions on Parallel and Distributed Systems, 32(6), 1322–1339.
TL;DR:
A partitioning-based algorithm is proposed, P-EDF-omp, by which the tied task constraint can be automatically guaranteed as long as an OpenMP task system can be successfully partitioned to a multiprocessor platform.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2021 article proceedings
Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors
Presented at the RTNS'2021: 29th International Conference on Real-Time Networks and Systems.
Event: RTNS'2021: 29th International Conference on Real-Time Networks and Systems
TL;DR:
This paper proposes two novel algorithms based on the virtual-deadline and fluid-scheduling approaches for multiprocessor scheduling, which are evaluated theoretically with speedup bounds and approximation factors as well as experimentally via randomly generated task sets.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 article proceedings
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).
Event: 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
TL;DR:
This work investigates the precise scheduling problem of MC tasks when the number of available processors may vary at the mode switch, and proposes two alternative algorithms by adapting virtual-deadline-based EDF and by fluid scheduling, respectively and provides a sufficient schedulability test for each.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 journal article
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics
ACM Transactions on Knowledge Discovery from Data, 15(2), 1–21.
TL;DR:
A novel SGLD sampler, namely, Randomized Measurement Langevin Dynamics (RMLD) is proposed to sample the high-dimensional sparse representations from the spectral domain of a given dataset, demonstrating the superior performance of RMLD beyond baseline methods.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 article proceedings
Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks
Presented at the 2021 IEEE Real-Time Systems Symposium (RTSS).
Event: 2021 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
The improved lower bound disproves the conjecture of lower bound 1.5 by a task set of only eight tasks, and sheds light on future work in transferring/downsizing task sets and deriving utilization bound based tests for various workload abstraction models, such as DAG tasks.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2021 conference paper
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.
Event: 42nd IEEE Real-Time Systems Symposium (RTSS 2021), Industry Challenge at Dortmund, DE on December 7-10, 2021
Source: NC State University Libraries
Added: April 21, 2023
2021 article proceedings
VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets
Event: 2021 IEEE Virtual Reality and 3D User Interfaces (VR)
author keywords: Human-centered computing; Gesture Computing; Virtual Key-logging Attack; Channel State Information
TL;DR:
This is the first work that uses WiFi signals to recognize virtual keystrokes in VR headsets using channel state information (CSI) of WiFi signals, and the key idea behind VR -Spy is that the side-channel information of fine-granular hand movements associated with each virtual keystroke has a unique gesture pattern in the CSI waveforms.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Crossref, ORCID, Web Of Science
Added: August 23, 2021
2020 conference paper
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.
Event: 32th Euromicro Conference on Real-Time Systems (ECRTS) at Modena, Italy
Source: NC State University Libraries
Added: April 21, 2023
2020 journal article
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.
TL;DR:
New techniques to drastically improve the DBF computation efficiency for a representative graph-based task model, digraph real-time tasks (DRT), and improve the task utilization computation efficiency from pseudo-polynomial complexity to polynomial complexity.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2020 conference paper
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).
Event: International Conference on Embedded Software (EMSOFT)
Source: NC State University Libraries
Added: April 21, 2023
2020 journal article
Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core
IEEE Transactions on Parallel and Distributed Systems, 31(9), 2097–2111.
TL;DR:
This work study energy-efficient real-time scheduling of constrained deadline sporadic parallel tasks, where each task is represented as a directed acyclic graph (DAG) and considers a clustered multi-core platform where processors within the same cluster run at the same speed at any given time.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: March 26, 2023
2020 article proceedings
F2VD
Presented at the ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design.
Event: ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design
TL;DR:
A novel algorithm F2VD for setting virtual deadlines from any feasible fluid rates, such that any fluid-scheduling-based solution can be converted to a deadline-based scheduling approach with no schedulability loss, where the latter is generally considered much more practical and easier to implement.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 article proceedings
GARDS: Generalized Autonomous Robotic Delivery System
Presented at the 2020 International Conference on Connected and Autonomous Driving (MetroCAD).
Event: 2020 International Conference on Connected and Autonomous Driving (MetroCAD)
TL;DR:
A generalized platform customized to suit the needs of a fast power-efficient and autonomous delivery system based on a combination of sensor sources and an online navigation algorithm utilizes the map information to deliver to a destination in the mapped area.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 conference paper
Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay
2020 IEEE Real-Time Systems Symposium (RTSS).
TL;DR:
The proposed solution suggests a promising direction towards incorporating probabilistic information and learning-based approaches into safety-critical systems without compromising safety guarantees, when it is not feasible to establish the trustworthiness of the probabilism information at the high assurance levels required for verification purposes.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2020 article proceedings
Inter-task cache interference aware partitioned real-time scheduling
Presented at the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing.
Event: SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing
TL;DR:
It is shown that by taking inter-task interference into consideration when making scheduling decisions, resource efficiency can be significantly improved in both temporal and spatial domains for multi/many-core real-time systems.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 journal article
MP <sup>2 SDA
ACM Transactions on Knowledge Discovery from Data, 14(3), 1–22.
TL;DR:
A novel multi-party SDA algorithm is proposed, which can learn SDA models effectively without sharing any raw data and basic statistics among machines, and significantly outperforms the most recent distributed SDA in terms of accuracy and F1-score.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: ORCID, Crossref
Added: March 26, 2023
2020 journal article
MiniTEE—A Lightweight TrustZone-Assisted TEE for Real-Time Systems
Electronics, 9(7), 1130.
TL;DR:
It is demonstrated how MiniTEE can be adequately exploited for meeting the real-time needs, while presenting a low performance overhead to the rich OSs (i.e., low-end RTOSs).
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: ORCID
Added: March 26, 2023
2020 conference paper
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.
Event: 0th European Congress on Embedded Real Time Software and Systems at Toulouse, France
Source: NC State University Libraries
Added: April 21, 2023
2020 article proceedings
On Computing Exact WCRT for DAG Tasks
Presented at the 2020 57th ACM/IEEE Design Automation Conference (DAC).
Event: 2020 57th ACM/IEEE Design Automation Conference (DAC)
TL;DR:
This paper encodes the WCRT analysis problem into a satisfaction modular theoretical (SMT) formulation based on insights into the list scheduling algorithm, and proves that the SMT program can solve theWCRT precisely, providing an accurate baseline to measure the tightness of the existing W CRT bounds.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 article proceedings
On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms
Presented at the 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Event: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
TL;DR:
This paper constructs counterexamples to show that previous work cannot provide a safe upper bound of the conditional DAG's volume in general, and proves that the volume computation problem for conditional D AGs is strongly $\mathcal{N}$-hard.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 journal article
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.
TL;DR:
A probabilistic-based energy prediction strategy with the precise scheduling of mixed-criticality tasks, where the timing correctness must be met for all tasks at all scenarios, and the dynamic voltage and frequency scaling (DVFS) is applied to this precise scheduling policy to enable energy minimization.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 conference paper
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).
Event: International Conference on Embedded Software (EMSOFT)
Source: NC State University Libraries
Added: April 21, 2023
2020 conference paper
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).
Event: 44th Meetings of the American Society of Biomechanics (ASB)
Source: NC State University Libraries
Added: April 21, 2023
2020 article proceedings
Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities
Presented at the 2020 12th International Conference on Advanced Computational Intelligence (ICACI).
Event: 2020 12th International Conference on Advanced Computational Intelligence (ICACI)
TL;DR:
A simplified model of the airspace as a grid of sectors and the uncertainties in the airspace are modeled as blocked sectors are considered and a novel cost function based on potential energy fields is proposed for use in the path planning algorithm to handle blocked sectors.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 article proceedings
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).
Event: 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)
TL;DR:
This paper converts techniques from scheduling theory to model, analyze, and derive scheduling algorithms for real-time workloads on heterogeneous platforms with (serial) data offloading and (parallel) computation and describes the performance of the proposed algorithms.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 article proceedings
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.
Event: ICCAD '20: IEEE/ACM International Conference on Computer-Aided Design
TL;DR:
The use of concentration bounds - probabilistic bounds on the likelihood of the performance of a randomized algorithm deviating from its expected performance - is explored to bound the probability of failure of systems that incorporate randomized algorithms, thereby showing compliance with safety standards that allow for small probabilities of failure.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2020 journal article
Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries
SSRN Electronic Journal.
Sources: Crossref, ORCID
Added: April 1, 2023
2020 journal article
Understanding the impact of COVID-19 intervention policies on the hospitality labor market
International Journal of Hospitality Management, 91, 102660.
TL;DR:
This study investigates the effects of the COVID-19 pandemic and the resulting state policies on the hospitality industry and finds that business closure policies are associated with a 20-30% reduction of non-salaried workers in the food/drink and leisure/entertainment sectors during March-April of 2020.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2019 journal article
<inline-formula> <tex-math notation="LaTeX">$\mathcal{DBSDA}$ </tex-math> </inline-formula>: 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.
TL;DR:
A novel classifier is proposed, which possesses a reduced upper bound of misclassification rate and better asymptotic properties than sparse LDA (SDA) and is demonstrated the superiority of <inline-formula> <tex-math notation="LaTeX">$\mathcal {DBSDA}$ </tex-Math></inline- formula> over LDA, SDA, and other downstream competitors under HDLSS settings.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 journal article
CASS: Criticality-Aware Standby-Sparing for real-time systems
Journal of Systems Architecture, 100, 101661.
TL;DR:
This paper integrates the concept of criticality into the SS framework, and proposes an offline approach to determine an energy-efficient frequency for the primary processor, as the cluster systems are emerging as the mainstream computing platform and an algorithm to determine the energy- efficient algorithm for such systems is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 journal article
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.
TL;DR:
A model-free solution to the robust stabilization problem of discrete-time linear dynamical systems with bounded and mismatched uncertainty is presented and it is shown that the optimal controller obtained by solving the ARE can robustly stabilize the uncertain system.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2019 article proceedings
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).
Event: 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
TL;DR:
A virtual deadline based scheduler (EDF-VDS) is proposed with utilization-based MCQOS-schedulability test and and closed-form lateness bounds and is defined that massages the required bounded lateness into the definition of conventional MC-scaledulability.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
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).
Event: 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)
TL;DR:
This work study energy-efficient real-time scheduling of constrained deadline sporadic parallel tasks, where each task is represented as a directed acyclic graph (DAG) and considers a clustered multi-core platform where processors within the same cluster run at the same speed at any given time.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 journal article
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.
TL;DR:
This paper shows that this intra-task vertex execution order has a large impact on system schedulability and proposes to control the execution order by vertex-level priority assignment, and develops analysis techniques to bound the worst-case response time.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2019 chapter book
Mixed Criticality Scheduling of Probabilistic Real-Time Systems
TL;DR:
This paper uses a graph-based approach to seek for an optimal MC schedule by exploring every possible MC schedule the task set can have and obtains a schedule that minimizes the probability of the system entering high criticality mode.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems
Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).
Event: 2019 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
This work addresses the MC scheduling of parallel tasks of gang model that allows workloads to execute on multiple cores simultaneously and proposes a new technique GEDF-VD, which integrates Global Earliest Deadline First (GEDF) and Earliest deadline First with Virtual Deadline (EDf-VD).
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
Model-Free Temporal Difference Learning for Non-Zero-Sum Games
Presented at the 2019 International Joint Conference on Neural Networks (IJCNN).
Event: 2019 International Joint Conference on Neural Networks (IJCNN)
TL;DR:
A novel online iterative algorithm, named integral temporal difference learning algorithm, which can be implemented in an online fashion and requires only partial knowledge of the system dynamics and the effectiveness of the presented algorithm is shown.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
On Generating Dominators of Customer Preferences
Presented at the 2019 IEEE International Conference on Big Data (Big Data).
Event: 2019 IEEE International Conference on Big Data (Big Data)
TL;DR:
This paper investigates a basic designing problem: designing products that satisfy the preferences of all customers, and shows that this problem is NP-complete and study its computational properties.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
Precise scheduling of mixed-criticality tasks by varying processor speed
Presented at the RTNS 2019: 27th International Conference on Real-Time Networks and Systems.
Event: RTNS 2019: 27th International Conference on Real-Time Networks and Systems
TL;DR:
This is the first work to address the integration of DVFS energy-conserving techniques with precise scheduling of all tasks of the IMC model and a quantitative study in the forms of speedup bound and approximation ratio are derived for the unified model.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System
Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).
Event: 2019 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
SmartPC is proposed, a hierarchical online pace control framework for Federated Learning that balances the training time and model accuracy in an energy-efficient manner and performs extensive experiments to evaluate it.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 journal article
SpHMC: Spectral Hamiltonian Monte Carlo
Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5516–5524.
TL;DR:
This piece of work proposed a novel SGHMC sampler, namely Spectral Hamiltonian Monte Carlo (SpHMC), that produces the high dimensional sparse representations of given datasets through sparse sensing and S GHMC.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2019 article proceedings
Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems
Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).
Event: 2019 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
A deep recurrent neural network is proposed that learns the patterns of I/O requests and predicts the upcoming ones, such that memory contents can be pre-loaded at the right time to prevent cache/memory misses.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 journal article
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.
TL;DR:
This paper shows that it is impossible to obtain a constant bound for the problem setting, and derives both lower and upper bounds of the capacity augmentation bound as a function with respect to the maximum ratio of task period to deadline.
(via Semantic Scholar)
Source: ORCID
Added: March 26, 2023
2018 conference paper
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.
Event: International Conference on Embedded Software (EMSOFT) at Torino, Italy
Source: NC State University Libraries
Added: April 21, 2023
2018 article proceedings
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).
Event: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
TL;DR:
This work proposes representations to model every possible system criticality mode as a combination of task criticality modes, and develops the schedulability analysis that applies such sets and derives Schedulability conditions with mixed criticalities.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 book
Algorithms CS2500
[Open Educational Resource]. Missouri University of Science and Technology Scholars' Mine Course Materials.
Source: NC State University Libraries
Added: April 21, 2023
2018 article proceedings
An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines Under Dynamic Priority Scheduling
Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).
Event: 2018 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
A novel method to discretize and regularize sporadic tasks, which enables us to improve, in the case of constrained deadlines, the speedup factor of partitioned-EDF to 2.5556-1/m, very close to the asymptotic lower bound 2.5 in [2].
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 article proceedings
DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms
Presented at the 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).
Event: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
TL;DR:
A new scheduling strategy, named DRESS, is presented that particularly aims to optimize the allocation among jobs with various demands, and significantly reduces the completion time for one category, and in the meanwhile, maintains a stable overall system performance.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 article proceedings
De-biasing Covariance-Regularized Discriminant Analysis
Presented at the Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}.
Event: Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}
TL;DR:
A novel FLD classifier, DBLD, is proposed, which improves classification accuracy of CRLD through de-biasing and possesses better asymptotic properties than CRLDs under HDLSS settings.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 journal article
Energy-Efficient Real-Time Scheduling of DAG Tasks
ACM Transactions on Embedded Computing Systems, 17(5), 1–25.
TL;DR:
This work adapts the decomposition-based framework for federated scheduling and proposes an energy-sub-optimal scheduler and derives an approximation algorithm to identify processors to be merged together for further improvements in energy-efficiency.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 chapter book
Mixed-Criticality Real-Time Systems
Sources: Crossref, ORCID
Added: April 1, 2023
2018 chapter book
Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors
TL;DR:
A less pessimistic MC model is proposed for system designers to specify the maximum number of tasks that may simultaneously exceed their lo-WCETs, and a new schedulability test is presented.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 conference paper
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.
Event: Real-Time Scheduling Open Problems Seminar (RTSOPS) at Barcelona, Spain
Source: NC State University Libraries
Added: April 21, 2023
2018 article proceedings
Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate
Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).
Event: 2018 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
This work presents an easy to implement admission-control procedure to determine which LO-criticality jobs to complete in HI mode, and proposes a demand-bound-function-based MC schedulability test that runs in pseudo-polynomial time for such systems under EDF-VD scheduling.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 conference paper
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.
Event: Real-Time Scheduling Open Problems Seminar (RTSOPS) at Barcelona, Spain
Source: NC State University Libraries
Added: April 21, 2023
2018 article proceedings
Work-in-Progress: Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed
Presented at the 2018 IEEE Real-Time Systems Symposium (RTSS).
Event: 2018 IEEE Real-Time Systems Symposium (RTSS)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2018 article proceedings
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).
Event: 2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)
TL;DR:
This paper proposes the roulette wheel scheduler (RWS) to randomize the task execution pattern, and formalizes the concept of schedule entropy the additional safety provided by any randomized scheduler.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
AWDA: An Adaptive Wishart Discriminant Analysis
Presented at the 2017 IEEE International Conference on Data Mining (ICDM).
Event: 2017 IEEE International Conference on Data Mining (ICDM)
TL;DR:
Theoretical analysis indicates that AWDA guarantees a close approximation to the optimal Bayesian inference and thus achieves robust performance on high dimensional data, and extensive experiments show that the approach outperforms state-of-the-art algorithms by a large margin.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 conference paper
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.
Event: 29th Euromicro Conference on Real-Time Systems (ECRTS) at Dubrovnik, Croatia
Source: NC State University Libraries
Added: April 21, 2023
2017 report
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
Source: NC State University Libraries
Added: April 21, 2023
2017 chapter book
Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine
TL;DR:
A novel frame work of reinforcement learning for continuous time dynamical system is presented based on the Hamiltonian functional and extreme learning machine, under which only one critic is required in the adaptive critic structure.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
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.
Event: RTNS '17: 25th International Conference on Real-Time Networks and Systems
TL;DR:
A dirty attribute is introduced into persistence analysis for tracking dirty blocks, and over-approximate a write back window for each possible write back in multi-level cache analysis for worst-case execution time (WCET) estimation.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache
Presented at the 2017 IEEE Trustcom/BigDataSE/ICESS.
Event: 2017 IEEE Trustcom/BigDataSE/ICESS
TL;DR:
A novel Global Earliest Deadline First (GEDF) schedulability test is proposed, where Cache-Related Preemption Delay (CRPD) is separately modeled and integrated and multiple analyses for estimating CRPD bounds are conducted based on the refined estimation of the maximal number of preemptions, leading to tighter G-EDF scheduling tests.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
Multi-party Sparse Discriminant Learning
Presented at the 2017 IEEE International Conference on Data Mining (ICDM).
Event: 2017 IEEE International Conference on Data Mining (ICDM)
TL;DR:
A novel Multi-Party SDA algorithm, which can learn SDA models effectively without sharing any raw data and basic statistics among machines, and significantly outperforms the most recent distributed SDA in terms of accuracy and F1-score.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 journal article
Near-Optimal Incentive Allocation for Piggyback Crowdsensing
IEEE Communications Magazine, 55(6), 120–125.
TL;DR:
CrowdMind is introduced -- a generic incentive allocation framework for the two optimal data collection goals, on top of the PCS model, and a short theoretical analysis is presented to analyze the performance of CrowdMind in terms of the optimization with total incentive cost and overall spatial-temporal coverage objectives/constraints.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
Off-policy reinforcement learning for robust control of discrete-time uncertain linear systems
Presented at the 2017 36th Chinese Control Conference (CCC).
Event: 2017 36th Chinese Control Conference (CCC)
TL;DR:
An off-policy reinforcement learning method is developed for the robust stabilizing controller design of discrete-time uncertain linear systems which guarantees the robust stability of the original system with uncertainty.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 chapter book
On the Criticality of Probabilistic Worst-Case Execution Time Models
TL;DR:
The main purpose of probability distributions instead of deterministic bounds, is to have more flexible and less pessimistic worst-case models, but in order to guarantee safe probabilistic worst- case models, every possible execution condition needs to be taken into account.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 report
Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests
In Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar No. 17131).
Source: NC State University Libraries
Added: April 21, 2023
2017 article proceedings
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).
Event: 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)
TL;DR:
This paper analyzes the response time requirements for common networked pervasive computing systems, and model the mixed-criticality using the minimum response time Quality-of-Service (QoS) that should be guaranteed even in the worst-case, and proposes to leverage Fixed-Priority Rate-Monotonic (FPRM) Scheduler for real-time scheduling.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
Sustainability in Mixed-Criticality Scheduling
Presented at the 2017 IEEE Real-Time Systems Symposium (RTSS).
Event: 2017 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
Sustainability is a formalization of the requirement for scheduling algorithms and schedulability tests that a system deemed to be correctly schedulable should remain so if its run-time behavior is better than anticipated.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2017 article proceedings
Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems
Presented at the 2017 IEEE Real-Time Systems Symposium (RTSS).
Event: 2017 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
A new system model is proposed that covers inter-task cache interference in EDF scheduling on a preemptive multi-core platform and some ongoing work in identifying proper partition schemes under such settings is described.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2016 journal article
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility
IEEE Transactions on Neural Networks and Learning Systems, 27(2), 238–248.
MeSH headings : Computer Systems; Humans; Linear Models; Neural Networks, Computer
TL;DR:
Experimental studies on a large number of randomly generated sets suggest that the proposed neural network-based optimization method is optimal when the set is nonoverloaded, and outperforms existing typical scheduling strategies when there is overload.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2016 journal article
CGC
ACM Transactions on Knowledge Discovery from Data, 10(4), 1–27.
TL;DR:
A flexible and robust framework, Co-regularized Graph Clustering (CGC), based on non-negative matrix factorization (NMF), to tackle multi-view graph clustering challenges and develops an efficient optimization method that guarantees to find the global optimal solution with a given confidence requirement.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2016 article proceedings
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).
Event: 2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
TL;DR:
The goal is to develop probabilistic schedulability analysis that is applicable to both faulty and non-faulty execution conditions, and both qualifies and quantifies faults impacts on system Schedulability.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2016 article proceedings
Mixed-Criticality Scheduling on Varying-Speed Platforms with Bounded Performance Drop Rate
Presented at the 2016 IEEE International Conference on Smart Computing (SMARTCOMP).
Event: 2016 IEEE International Conference on Smart Computing (SMARTCOMP)
TL;DR:
A more sophisticated varying-speed platform model is proposed to more precisely analyze the real-time schedulability of such systems, which takes the physical limitation of performance deceleration of the CPS into consideration.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2016 conference paper
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.
Event: 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) Leibniz International Proceedings in Informatics at Chennai, India
Source: NC State University Libraries
Added: April 21, 2023
2016 thesis
Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties
(Ph.D. Thesis). University of North Carolina-Chapel Hill.
Source: NC State University Libraries
Added: April 21, 2023
2016 article proceedings
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).
Event: 2016 28th Euromicro Conference on Real-Time Systems (ECRTS)
TL;DR:
A generalization of the Vestal model is considered here, in which a degraded (but non-zero) level of service is required for the less critical functionalities even in the event of only the more conservative assumptions holding.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2015 report
A Survey of Real-Time Automotive Systems
[Department of Computer Science Technical Report]. University of North Carolina at Chapel Hill.
Source: NC State University Libraries
Added: April 21, 2023
2015 journal article
Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance
Nature Genetics, 47(4), 353–360.
MeSH headings : Alleles; Allelic Imbalance / genetics; Animals; Crosses, Genetic; Dosage Compensation, Genetic; Female; Gene Expression; Genetic Speciation; Humans; Male; Mice / genetics; Mice, Knockout; Phylogeny; Polymorphism, Single Nucleotide
TL;DR:
It is concluded that, as with humans, pervasive regulatory variation influences complex genetic traits in mice and provide a new resource toward understanding the genetic control of transcription in mammals.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: February 24, 2020
2015 article proceedings
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).
Event: 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
TL;DR:
The mixed-criticality task model with multiple worst case execution time estimations is extended to incorporate system-level certification restrictions, and an efficient algorithm named LFF-Clustering is derived for scheduling mixed- criticality systems represented by this model.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2015 report
MC Scheduling on Varying-Speed Processors
In Dagstuhl Reports (Dagstuhl Seminar No. 15121; Vol. 5, pp. 128–129).
Source: NC State University Libraries
Added: April 21, 2023
2015 article proceedings
MC-Fluid: Simplified and Optimally Quantified
Presented at the 2015 IEEE Real-Time Systems Symposium (RTSS).
Event: 2015 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
A simplified variant of MC-Fluid, called MCF, is derived, that has run-time linear in the number of tasks, and it is proved that this simplified variant has a speedup bound no worse than 4/3 for dual-criticality systems.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2015 conference paper
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.
Event: 3rd Workshop on Mixed-Criticality Systems (2015, San Antonio, TX), Workshop on Mixed-Criticality Systems (WMC) at San Antonio, Texas, USA
Source: NC State University Libraries
Added: April 21, 2023
2015 article proceedings
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.
Event: RTNS '15: 23rd International Conference on Real-Time Networks and Systems
TL;DR:
The research reported in this paper seeks to integrate the varying-speed MC model and the multi-WCET one into a unified framework, and proposes a general model in which each job may have multiple WCETs specified, and the precise speed of the processor upon which the system is implemented may vary during run-time.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2015 article proceedings
Uniprocessor EDF scheduling of AVR task systems
Presented at the ICCPS '15: ACM/IEEE 6th International Conference on Cyber-Physical Systems.
Event: ICCPS '15: ACM/IEEE 6th International Conference on Cyber-Physical Systems
TL;DR:
Schedulability analysis results for systems of AVR and sporadic tasks under Earliest Deadline First (EDF) scheduling are established and the proposed analysis techniques are evaluated both theoretically and experimentally via schedulability experiments on randomly-generated task systems.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2014 conference paper
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.
Event: 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) at Boston, MA, USA
Source: NC State University Libraries
Added: April 21, 2023
2014 journal article
Graph-regularized dual Lasso for robust eQTL mapping
Bioinformatics, 30(12), i139–i148.
MeSH headings : Algorithms; Chromosome Mapping; Cluster Analysis; Gene Expression; Gene Regulatory Networks; Genetic Markers; Linear Models; Polymorphism, Single Nucleotide; Protein Interaction Mapping; Quantitative Trait Loci; Saccharomyces cerevisiae / genetics; Saccharomyces cerevisiae / metabolism
TL;DR:
Graph-regularized Dual Lasso (GDL) is proposed, a robust approach for eQTL mapping that integrates the correlation structures among genetic markers and traits simultaneously and takes into account the incompleteness of the networks and is robust to the noise.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2014 journal article
Implementing mixed-criticality systems upon a preemptive varying-speed processor
Leibniz Transactions on Embedded Systems (LITES), 1(2), 3:1–3:19.
TL;DR:
In this work, an optimal algorithm for scheduling mixed criticality workloads upon a preemptive processor is derived and an implementation that is asymptotically optimal in terms of run-time efficiency is provided.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: April 21, 2023
2014 article proceedings
Mixed-Criticality Scheduling upon Varying-Speed Multiprocessors
Presented at the 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC).
Event: 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC)
TL;DR:
In this paper, a linear program is constructed based on necessary and sufficient scheduling conditions, and according to its solution, jobs are executed in a processor-sharing based method, and an example is constructed to show the necessity of processor sharing.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2014 article proceedings
Scheduling Mixed-Criticality Implicit-Deadline Sporadic Task Systems upon a Varying-Speed Processor
Presented at the 2014 IEEE Real-Time Systems Symposium (RTSS).
Event: 2014 IEEE Real-Time Systems Symposium (RTSS)
TL;DR:
A mixed criticality (MC) workload consists of components of varying degrees of importance and suitable scheduling strategies are devised for scheduling such systems despite uncertainty and unpredictability in both the amount of execution needed by the tasks, and the effective speed of the processor.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2013 article proceedings
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.
Event: KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
TL;DR:
CGC (Co-regularized Graph Clustering), based on non-negative matrix factorization (NMF), has several advantages over the existing methods, and provides users with the extent to which the cross-domain instance relationship violates the in-domain clustering structure, and thus enables users to re-evaluate the consistency of the relationship.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2013 article proceedings
Mixed-Criticality Scheduling upon Varying-Speed Processors
Presented at the 2013 IEEE 34th Real-Time Systems Symposium (RTSS).
Event: 2013 IEEE 34th Real-Time Systems Symposium (RTSS)
TL;DR:
A varying-speed processor is characterized by two execution speeds: a normal speed and a degraded speed, whereas the more important components should execute correctly if the processor runs at any speed no slower than its specified degraded speed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: Crossref, ORCID
Added: April 1, 2023
2013 article proceedings
Mixed-criticality scheduling upon non-monitored varying-speed processors
Presented at the 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES).
Event: 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES)
TL;DR:
The problem of executing an integrated workload, consisting of some more important components and some less important ones, upon a non-monitored varying-speed processor is considered and it is desired that all components execute correctly under normal circumstances.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2013 conference paper
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.
Event: 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP) at Pont a Mousson, France
Source: NC State University Libraries
Added: April 21, 2023
2012 journal article
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization
Neural Networks, 26, 99–109.
MeSH headings : Algorithms; Animals; Computer Simulation; Humans; Neural Networks, Computer; Nonlinear Dynamics; Pattern Recognition, Automated
TL;DR:
A one-layer recurrent neural network is proposed for solving pseudoconvex optimization problems subject to linear equality and bound constraints and is capable of solving constrained fractional programming problems as a special case.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2012 chapter
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).
Sources: Crossref, ORCID
Added: April 1, 2023
2012 article proceedings
Metric Learning from Relative Comparisons by Minimizing Squared Residual
Presented at the 2012 IEEE 12th International Conference on Data Mining (ICDM).
Event: 2012 IEEE 12th International Conference on Data Mining (ICDM)
TL;DR:
This paper proposes a simple, yet effective, algorithm that minimizes a convex objective function corresponding to the sum of squared residuals of constraints and extends the model and algorithm to promote sparsity in the learned metric matrix.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2011 journal article
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints
IEEE Transactions on Neural Networks, 22(12), 1892–1900.
MeSH headings : Algorithms; Computer Simulation; Linear Models; Neural Networks, Computer
TL;DR:
The global convergence of the neural network can be guaranteed even though the objective function is pseudoconvex, and the finite-time state convergence to the feasible region defined by the equality constraints is proved.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2011 article proceedings
Information retrieval from large data sets via multiple-winners-take-all
Presented at the 2011 IEEE International Symposium on Circuits and Systems (ISCAS).
Event: 2011 IEEE International Symposium on Circuits and Systems (ISCAS)
TL;DR:
The results show that the kWTA networks converge faster as the size of the problem grows, which renders them as a promising approach to large-scale data set information retrieval problems.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2010 article proceedings
A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions
Presented at the 2010 International Joint Conference on Neural Networks (IJCNN).
Event: 2010 International Joint Conference on Neural Networks (IJCNN)
TL;DR:
Several alternative objective functions, such as weighted L1 norm, Laplacian, hyperbolic secant, and Gaussian functions, are introduced as approximations of the L0 norm as part of the reformulated constrained minimization problems subject to equality constraints.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2010 conference paper
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.
Ed(s): L. Zhang, B. Lu & J. Kwok
Event: 7th International Symposium on Neural Networks (ISNN) at Shanghai, China
TL;DR:
Experimental results show that the kWTA networks are parametrically robust and dimensionally scalable in terms of problem size and convergence rate.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: April 21, 2023
2009 chapter book
An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm
TL;DR:
An efficient approach is proposed to reduce the dimension of feature vector in Chinese document classification using Genetic Algorithm through merely choosing the set of much more "important" features, which significantly reduces the number of Chinese feature words.
(via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 1, 2023
2009 thesis
Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles
(Honors Undergraduate Thesis). Tsinghua University.
Source: NC State University Libraries
Added: April 21, 2023
2008 report
THU and ICRC at TRECVID 2008
National Institute of Standards and Technology.
Source: NC State University Libraries
Added: April 21, 2023
2007 report
THU and ICRC at TRECVID 2007
National Institute of Standards and Technology.
Source: NC State University Libraries
Added: April 21, 2023
2004 journal article
Three-failure match
Mathematics in Practice and Theory, 34(11), 14–19.
Source: NC State University Libraries
Added: April 21, 2023
thesis
A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization
Guo, Z. (Masters thesis). Chinese University of Hong Kong.
Source: NC State University Libraries
Added: April 21, 2023
Employment
Updated: September 14th, 2022 12:31
2022 - present
North Carolina State University Raleigh, North Carolina, US
Associate Professor
Computer Science
2018 - 2022
University of Central Florida Orlando, FL, US
Assistant/Associate Professor
Electrical and Computer Engineering
2016 - 2018
Missouri University of Science and Technology Rolla, MO, US
Assistant Professor
Computer Science
Education
Updated: August 22nd, 2017 13:10
2011 - 2016
University of North Carolina at Chapel Hill Chapel Hill, NC, US
Ph.D.
Computer Science
Funding History
Funding history based on the linked ORCID record. Updated: October 11th, 2019 12:39
grant
July 1, 2018 - June 30, 2020
CRII: CSR: NeuroMC---Parallel Online Scheduling of Mixed-Criticality Real-Time Systems via Neural Networks
Directorate for Computer & Information Science & Engineering
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