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Open-set learning context recognizing in mobile learning: Problem and methodology

ICT Express , 2024, 10(4), , pp.909-915

2024

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Maximizing user type diversity for task assignment in crowdsourcing

Journal of combinatorial optimization, 2020-11, Vol.40 (4), p.1092-1120

2020

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Distributed Data Aggregation Scheduling in Multi-Channel and Multi-Power Wireless Sensor Networks

IEEE access, 2017, Vol.5, p.27887-27896

2017

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Distributed Aggregation Algorithms for Mobile Sensor Networks with Group Mobility Model

Tsinghua science and technology, 2012-10, Vol.17 (5), p.512-520

2012

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Data Dissemination Protocols Based on Opportunistic Sharing for Data Offloading in Mobile Social Networks

2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016, p.705-712

2016

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ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems

Expert systems with applications, 2023-04, Vol.215, p.119309, Article 119309

2023

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Type diversity maximization aware coursewares crowdcollection with limited budget in MOOCs

Information sciences, 2023-11, Vol.649, p.119663, Article 119663

2023

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Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs

Information processing & management, 2024-01, Vol.61 (1), p.103536, Article 103536

2024

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A novel quantitative relationship neural network for explainable cognitive diagnosis model

Knowledge-based systems, 2022-08, Vol.250, p.109156, Article 109156

2022

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GPU acceleration of finding frequent patterns over large biological sequence

2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014, p.648-655

2014

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Predicting Dropouts Before Enrollments in MOOCs: An Explainable and Self-Supervised Model

IEEE transactions on services computing, 2023-11, Vol.16 (6), p.4154-4167

2023

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A novel contact prediction‐based routing scheme for DTNs

Transactions on emerging telecommunications technologies, 2017-01, Vol.28 (1), p.n/a

2017

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LRDC: Learning Resource Diffusion Based on Credibility for Computer-Supported Collaborative Learning

Wireless communications and mobile computing, 2021, Vol.2021 (1)

2021

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Data collection with probabilistic guarantees in opportunistic wireless networks

International journal of sensor networks, 2017, Vol.24 (2), p.125

2017

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Data Collection with Probabilistic Guarantees in Opportunistic Wireless Networks

International journal of sensor networks, 2017-01, Vol.1 (1), p.1

2017

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A Framework of Fire Monitoring System Based on Sensor Networks

Wireless Algorithms, Systems, and Applications, p.398-410

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Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window

Journal of software, 2013, Vol.8 (1), p.19-19

2013

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A Task Assignment Approach with Maximizing User Type Diversity in Mobile Crowdsensing

Combinatorial Optimization and Applications, 2019, Vol.11949, p.496-506

2019

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Implementing the Matrix Inversion by Gauss-Jordan Method with CUDA

Wireless Algorithms, Systems, and Applications, p.44-53

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GPU Acceleration of Finding Maximum Eigenvalue of Positive Matrices

Algorithms and Architectures for Parallel Processing, p.231-244

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Parallel Algorithms for Approximate String Matching with k Mismatches on CUDA

2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012, p.2414-2422

2012

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Mining Recent Approximate Frequent Items in Wireless Sensor Networks

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009, Vol.2, p.463-467

2009

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GPU acceleration of finding LPRs in DNA sequence based on SUA index

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC), 2014, p.1-8

2014

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H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks

Journal of communications, 2011-04, Vol.6 (2)

2011

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An Efficient Graph Isomorphism Algorithm Based on Canonical Labeling and Its Parallel Implementation on GPU

2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013, p.1089-1096

2013

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Open-set learning context recognizing in mobile learning: Problem and methodology

Maximizing user type diversity for task assignment in crowdsourcing

Distributed Data Aggregation Scheduling in Multi-Channel and Multi-Power Wireless Sensor Networks

Distributed Aggregation Algorithms for Mobile Sensor Networks with Group Mobility Model

Data Dissemination Protocols Based on Opportunistic Sharing for Data Offloading in Mobile Social Networks

ICD: A new interpretable cognitive diagnosis model for intelligent tutor systems

Type diversity maximization aware coursewares crowdcollection with limited budget in MOOCs

Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs

A novel quantitative relationship neural network for explainable cognitive diagnosis model

GPU acceleration of finding frequent patterns over large biological sequence

Predicting Dropouts Before Enrollments in MOOCs: An Explainable and Self-Supervised Model

A novel contact prediction‐based routing scheme for DTNs

LRDC: Learning Resource Diffusion Based on Credibility for Computer-Supported Collaborative Learning

Data collection with probabilistic guarantees in opportunistic wireless networks

Data Collection with Probabilistic Guarantees in Opportunistic Wireless Networks

A Framework of Fire Monitoring System Based on Sensor Networks

Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window

A Task Assignment Approach with Maximizing User Type Diversity in Mobile Crowdsensing

Implementing the Matrix Inversion by Gauss-Jordan Method with CUDA

GPU Acceleration of Finding Maximum Eigenvalue of Positive Matrices

Parallel Algorithms for Approximate String Matching with k Mismatches on CUDA

Mining Recent Approximate Frequent Items in Wireless Sensor Networks

GPU acceleration of finding LPRs in DNA sequence based on SUA index

H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks

An Efficient Graph Isomorphism Algorithm Based on Canonical Labeling and Its Parallel Implementation on GPU

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