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

Neural networks, 2012-02, Vol.26, p.99-109

2012

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

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.238-248

2016

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

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, Vol.1, p.313-320

2018

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Mixed-criticality real-time scheduling of gang task systems

Real-time systems, 2021-07, Vol.57 (3), p.268-301

2021

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Comprehensive Genome-Wide Investigation and Transcriptional Regulation of the DHHC Gene Family in Cotton Seed and Fiber Development

Agronomy (Basel), 2024-06, Vol.14 (6), p.1214

2024

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Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton

Agronomy (Basel), 2023-07, Vol.13 (7), p.1781

2023

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Fault-aware sensitivity analysis for probabilistic real-time systems

2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2016, p.69-74

2016

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

International journal of hospitality management, 2020-10, Vol.91, p.102660-102660, Article 102660

2020

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

2017 36th Chinese Control Conference (CCC), 2017, p.2507-2512

2017

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Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions

ACM computing surveys, 2023-07, Vol.55 (14s), p.1-30, Article 306

2023

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

IEEE transactions on parallel and distributed systems, 2019-10, Vol.30 (10), p.2283-2295

2019

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

IEEE transactions on computer-aided design of integrated circuits and systems, 2020-11, Vol.39 (11), p.3906-3917

2020

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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, 2023-06, Vol.27 (6), p.1-12

2023

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

IEEE transactions on parallel and distributed systems, 2020-09, Vol.31 (9), p.2097-2111

2020

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Energy-Efficient Real-Time Scheduling of DAG Tasks

ACM transactions on embedded computing systems, 2018-11, Vol.17 (5), p.1-25

2018

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

IEEE transaction on neural networks and learning systems, 2019-12, Vol.30 (12), p.3735-3747

2019

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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, 2022-08, Vol.26 (8), p.3906-3917

2022

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F2VD: fluid rates to virtual deadlines for precise mixed-criticality scheduling on a varying-speed processor

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

2020

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

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011, p.2669-2672

2011

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Correction to: AA-forecast: anomaly-aware forecast for extreme events

Data mining and knowledge discovery, 2024-03, Vol.38 (2), p.812-812

2024

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Mixed-Criticality Scheduling upon Varying-Speed Processors

2013 IEEE 34th Real-Time Systems Symposium, 2013, p.68-77

2013

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Graph-regularized dual Lasso for robust eQTL mapping

Bioinformatics (Oxford, England), 2014-06, Vol.30 (12), p.i139-i148

2014

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

IEEE transactions on computer-aided design of integrated circuits and systems, 2020-11, Vol.39 (11), p.3385-3397

2020

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Narrowing the speedup factor gap of partitioned EDF

Information and computation, 2021-12, Vol.281, p.104743, Article 104743

2021

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AA-forecast: anomaly-aware forecast for extreme events

Data mining and knowledge discovery, 2023-05, Vol.37 (3), p.1209-1229

2023

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

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

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

Mixed-criticality real-time scheduling of gang task systems

Comprehensive Genome-Wide Investigation and Transcriptional Regulation of the DHHC Gene Family in Cotton Seed and Fiber Development

Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton

Fault-aware sensitivity analysis for probabilistic real-time systems

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

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

Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions

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

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

Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach

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

Energy-Efficient Real-Time Scheduling of DAG Tasks

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

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

F2VD: fluid rates to virtual deadlines for precise mixed-criticality scheduling on a varying-speed processor

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

Correction to: AA-forecast: anomaly-aware forecast for extreme events

Mixed-Criticality Scheduling upon Varying-Speed Processors

Graph-regularized dual Lasso for robust eQTL mapping

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

Narrowing the speedup factor gap of partitioned EDF

AA-forecast: anomaly-aware forecast for extreme events

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