Jie Yang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Sparse Representation

Top Venues

Int. J. Comput. Intell. Syst.

Expert Syst. Appl.

Publications

Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu
SCAD: Subspace Clustering based Adversarial Detector. WSDM (2024)
Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu
Towards Robust Token Embeddings for Extractive Question Answering. WISE (2023)
Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo
CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. WISE (2023)
Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yuan-Fang Li
Improving Machine Reading Comprehension through A Simple Masked-Training Scheme. IJCNLP (Findings) (2023)
Akbar Telikani, Jun Shen, Jie Yang, Peng Wang
Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. IEEE Internet Things J. 9 (22) (2022)
Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang
Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. 582 (2022)
Akbar Telikani, Jun Shen, Peng Wang, Jie Yang
A privacy-aware data sharing framework for Internet of Things through edge computing platform. EDGE (2022)
Jie Yang, Brian Yecies, Jun Ma, Wanqing Li
Sparse fuzzy classification for profiling online users and relevant user-generated content. Expert Syst. Appl. 194 (2022)
Sarah K. Howard, Jo Tondeur, Jun Ma, Jie Yang
What to teach? Strategies for developing digital competency in preservice teacher training. Comput. Educ. 165 (2021)
Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao
Fuzzy contrastive learning for online behavior analysis. FUZZ-IEEE (2021)
Jo Tondeur, Sarah K. Howard, Jie Yang
One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. Comput. Hum. Behav. 116 (2021)
Xiangqian Wang, Huizong Li, Jie Yang, Chaoyu Yang, Haixia Gui
Optimal path selection for logistics transportation based on an improved ant colony algorithm. Int. J. Embed. Syst. 13 (2) (2020)
Jie Yang, Brian Yecies, Peter Yong Zhong
Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification. Int. J. Hum. Comput. Interact. 36 (3) (2020)
Chaoyu Yang, Jie Yang, Jun Ma
Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li
Multi-view learning for context-aware extractive summarization. SSCI (2020)
Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng
Cancer Risk Analysis Based on Improved Probabilistic Neural Network. Frontiers Comput. Neurosci. 14 (2020)
Jie Yang, Jun Ma, Sarah K. Howard
Usage profiling from mobile applications: A case study of online activity for Australian primary schools. Knowl. Based Syst. 191 (2020)
Jie Yang, Jun Ma
Feed-forward neural network training using sparse representation. Expert Syst. Appl. 116 (2019)
Jie Yang, Jun Ma
Compressive sensing-enhanced feature selection and its application in travel mode choice prediction. Appl. Soft Comput. 75 (2019)
Sarah K. Howard, Kate Thompson, Jie Yang, Jun Ma
Working the system: Development of a system model of technology integration to inform learning task design. Br. J. Educ. Technol. 50 (1) (2019)
Jun Ma, Jie Yang, Sarah K. Howard
A clustering algorithm based on fuzzy sets and its application in learning analytics. FUZZ-IEEE (2019)
Jie Yang, Brian Yecies
Online opinion leadership in China's digital army: proposals for an empirical study of douban. ACSW (2018)
Sarah K. Howard, Jie Yang, Jun Ma, Christian Ritz, Jiahong Zhao, Kylie Wynne
Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning. TALE (2018)
Sarah K. Howard, Jie Yang, Jun Ma, Karl Maton, Ellie Rennie
App clusters: Exploring patterns of multiple app use in primary learning contexts. Comput. Educ. 127 (2018)
Lipeng Feng, Jun Ma, Yong Wang, Jie Yang
Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Charoula Angeli, Sarah K. Howard, Jun Ma, Jie Yang, Paul A. Kirschner
Data mining in educational technology classroom research: Can it make a contribution? Comput. Educ. 113 (2017)
Jie Yang, Jun Ma, Sarah K. Howard, Matthew Ciao, Rangan Srikhanta
A big data analytic framework for investigating streaming educational data. ACSW (2017)
Lipeng Feng, Jun Ma, Yong Wang, Jie Yang
Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Jun Ma, Lipeng Feng, Jie Yang
Using complex fuzzy sets for strategic cost evaluation in supply chain downstream. FUZZ-IEEE (2017)
Jie Yang, Jun Ma, Sarah K. Howard
Investigating live streaming data for student behaviour modelling. FUZZ-IEEE (2017)
Jie Yang, Jun Ma
A structure optimization framework for feed-forward neural networks using sparse representation. Knowl. Based Syst. 109 (2016)
Sarah K. Howard, Jun Ma, Jie Yang
Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning. Comput. Educ. 101 (2016)
Jie Yang, Jun Ma, Sarah K. Howard
Exploring technology integration in education using fuzzy representation and feature selection. FUZZ-IEEE (2016)
Jun Ma, Jie Yang, Rohan Wickramasuriya Denagamage, Murad Safadi
A conceptual model for clustering local government areas using complex fuzzy sets. FUZZ-IEEE (2016)
Tao Jiang, Ping Yu, David Hailey, Jun Ma, Jie Yang
The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes. J. Medical Syst. 40 (9) (2016)
Jie Yang, Brian Yecies
Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews. J. Big Data 3 (2016)
Jie Yang, Jun Ma
A hybrid gene expression programming algorithm based on orthogonal design. Int. J. Comput. Intell. Syst. 9 (4) (2016)
Jie Yang, Jun Ma
A big-data processing framework for uncertainties in transportation data. FUZZ-IEEE (2015)
Jie Yang, Jun Ma, Matthew Berryman, Pascal Perez
A structure optimization algorithm of neural networks for large-scale data sets. FUZZ-IEEE (2014)
Jie Yang, Jun Ma
A sparsity-based training algorithm for Least Squares SVM. CIDM (2014)
Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Moeness G. Amin
Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging. ICASSP (2011)
Jie Yang, Abdesselam Bouzerdoum, Moeness G. Amin
Multi-view through-the-wall radar imaging using compressed sensing. EUSIPCO (2010)
Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
A particle swarm optimization algorithm based on orthogonal design. IEEE Congress on Evolutionary Computation (2010)
Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
A training algorithm for sparse LS-SVM using Compressive Sampling. ICASSP (2010)
Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Son Lam Phung
Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task. IJCNN (2010)
Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
A New Approach to Sparse Image Representation Using MMV and K-SVD. ACIVS (2009)
Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
A Neural Network pruning approach based on Compressive Sampling. IJCNN (2009)