Jie Yang

According to our database, Jie Yang authored at least 59 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

COTER: Conditional Optimal Transport meets Table Retrieval.

Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SCAD: Subspace Clustering based Adversarial Detector.

Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization.

Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Towards Robust Token Embeddings for Extractive Question Answering.

Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Improving Machine Reading Comprehension through A Simple Masked-Training Scheme.

Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yuan-Fang Li

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

[MASK] Insertion: a robust method for anti-adversarial attacks.

Xinrong Hu, Ce Xu, Junlong Ma, Zijian Huang, Jie Yang, Yi Guo, Johan Barthélemy

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Joint Temporal Pooling for Improving Skeleton-based Action Recognition.

Shanaka Ramesh Gunasekara, Wanqing Li, Jie (Jack) Yang, Philip Ogunbona

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations.

Junping Liu, Mingkang Gong, Xinrong Hu, Jie Yang, Yi Guo

Proceedings of the Database and Expert Systems Applications, 2023

Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations.

Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Low-rank and sparse representation based learning for cancer survivability prediction.

Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang

Inf. Sci., 2022

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing.

Akbar Telikani, Jun Shen, Jie Yang, Peng Wang

IEEE Internet Things J., 2022

Sparse fuzzy classification for profiling online users and relevant user-generated content.

Jie Yang, Brian Yecies, Jun Ma, Wanqing Li

Expert Syst. Appl., 2022

Knowledge Graph Question Answering based on Contrastive Learning and Feature Transformation.

Xinrong Hu, Jingjing Huang, Junping Liu, Qiang Zhu, Jie Yang

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering.

Junping Liu, Shijie Mei, Xinrong Hu, Xun Yao, Jie (Jack) Yang, Yi Guo

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A privacy-aware data sharing framework for Internet of Things through edge computing platform.

Akbar Telikani, Jun Shen, Peng Wang, Jie Yang

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy.

Qiang Zhu, Cheng Hong, Bangchao Wang, Xinrong Hu, Jie Yang, Junping Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Context-guided Triple Matching for Multiple Choice Question Answering.

Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li

CoRR, 2021

One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies.

Jo Tondeur, Sarah K. Howard, Jie Yang

Comput. Hum. Behav., 2021

What to teach? Strategies for developing digital competency in preservice teacher training.

Sarah K. Howard, Jo Tondeur, Jun Ma, Jie Yang

Comput. Educ., 2021

Progressive Semantic Reasoning for Image Inpainting.

Junjie Jin, Xinrong Hu, Kai He, Tao Peng, Junping Liu, Jie Yang

Proceedings of the Companion of The Web Conference 2021, 2021

Fuzzy contrastive learning for online behavior analysis.

Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Usage profiling from mobile applications: A case study of online activity for Australian primary schools.

Jie Yang, Jun Ma, Sarah K. Howard

Knowl. Based Syst., 2020

Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification.

Jie Yang, Brian Yecies, Peter Yong Zhong

Int. J. Hum. Comput. Interact., 2020

Optimal path selection for logistics transportation based on an improved ant colony algorithm.

Xiangqian Wang, Huizong Li, Jie Yang, Chaoyu Yang, Haixia Gui

Int. J. Embed. Syst., 2020

Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters.

Chaoyu Yang, Jie Yang, Jun Ma

Int. J. Comput. Intell. Syst., 2020

Cancer Risk Analysis Based on Improved Probabilistic Neural Network.

Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng

Frontiers Comput. Neurosci., 2020

Multi-view learning for context-aware extractive summarization.

Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Feed-forward neural network training using sparse representation.

Jie Yang, Jun Ma

Expert Syst. Appl., 2019

Working the system: Development of a system model of technology integration to inform learning task design.

Sarah K. Howard, Kate Thompson, Jie Yang, Jun Ma

Br. J. Educ. Technol., 2019

Compressive sensing-enhanced feature selection and its application in travel mode choice prediction.

Jie Yang, Jun Ma

Appl. Soft Comput., 2019

A clustering algorithm based on fuzzy sets and its application in learning analytics.

Jun Ma, Jie Yang, Sarah K. Howard

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets.

Lipeng Feng, Jun Ma, Yong Wang, Jie Yang

Int. J. Comput. Intell. Syst., 2018

Breast cancer data analysis for survivability studies and prediction.

Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang

Comput. Methods Programs Biomed., 2018

App clusters: Exploring patterns of multiple app use in primary learning contexts.

Sarah K. Howard, Jie Yang, Jun Ma, Karl Maton, Ellie Rennie

Comput. Educ., 2018

Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning.

Sarah K. Howard, Jie Yang, Jun Ma, Christian Ritz, Jiahong Zhao, Kylie Wynne

Proceedings of the IEEE International Conference on Teaching, 2018

An Alternating Least Square Based Algorithm for Predicting Patient Survivability.

Qiming Hu, Jie Yang, Khin Than Win, Xufeng Huang

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Online opinion leadership in China's digital army: proposals for an empirical study of douban.

Jie Yang, Brian Yecies

Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce.

Lipeng Feng, Jun Ma, Yong Wang, Jie Yang

Int. J. Comput. Intell. Syst., 2017

Data mining in educational technology classroom research: Can it make a contribution?

Charoula Angeli, Sarah K. Howard, Jun Ma, Jie Yang, Paul A. Kirschner

Comput. Educ., 2017

Investigating live streaming data for student behaviour modelling.

Jie Yang, Jun Ma, Sarah K. Howard

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Using complex fuzzy sets for strategic cost evaluation in supply chain downstream.

Jun Ma, Lipeng Feng, Jie Yang

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A big data analytic framework for investigating streaming educational data.

Jie Yang, Jun Ma, Sarah K. Howard, Matthew Ciao, Rangan Srikhanta

Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016

A structure optimization framework for feed-forward neural networks using sparse representation.

Jie Yang, Jun Ma

Knowl. Based Syst., 2016

The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes.

Tao Jiang, Ping Yu, David Hailey, Jun Ma, Jie Yang

J. Medical Syst., 2016

Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews.

Jie Yang, Brian Yecies

J. Big Data, 2016

A hybrid gene expression programming algorithm based on orthogonal design.

Jie Yang, Jun Ma

Int. J. Comput. Intell. Syst., 2016

Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning.

Sarah K. Howard, Jun Ma, Jie Yang

Comput. Educ., 2016

Exploring technology integration in education using fuzzy representation and feature selection.

Jie Yang, Jun Ma, Sarah K. Howard

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A conceptual model for clustering local government areas using complex fuzzy sets.

Jun Ma, Jie Yang, Rohan Wickramasuriya Denagamage, Murad Safadi

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

A big-data processing framework for uncertainties in transportation data.

Jie Yang, Jun Ma

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

A structure optimization algorithm of neural networks for large-scale data sets.

Jie Yang, Jun Ma, Matthew Berryman, Pascal Perez

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A sparsity-based training algorithm for Least Squares SVM.

Jie Yang, Jun Ma

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2011

Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging.

Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Moeness G. Amin

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task.

Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Son Lam Phung

Proceedings of the International Joint Conference on Neural Networks, 2010

A training algorithm for sparse LS-SVM using Compressive Sampling.

Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung

Proceedings of the IEEE International Conference on Acoustics, 2010

Multi-view through-the-wall radar imaging using compressed sensing.

Jie Yang, Abdesselam Bouzerdoum, Moeness G. Amin

Proceedings of the 18th European Signal Processing Conference, 2010

A particle swarm optimization algorithm based on orthogonal design.

Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

A Neural Network pruning approach based on Compressive Sampling.

Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung

Proceedings of the International Joint Conference on Neural Networks, 2009

A New Approach to Sparse Image Representation Using MMV and K-SVD.

Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009