A New Approach to Sparse Image Representation Using MMV and K-SVD. - Jie Yang 009; Abdesselam Bouzerdoum; Son Lam Phung (ACIVS, 2009)

A Neural Network pruning approach based on Compressive Sampling. - Jie Yang 009; Abdesselam Bouzerdoum; Son Lam Phung (IJCNN, 2009)

A particle swarm optimization algorithm based on orthogonal design. - Jie Yang 009; Abdesselam Bouzerdoum; Son Lam Phung (IEEE Congress on Evolutionary Computation, 2010)

Multi-view through-the-wall radar imaging using compressed sensing. - Jie Yang 009; Abdesselam Bouzerdoum; Moeness G. Amin (EUSIPCO, 2010)

A training algorithm for sparse LS-SVM using Compressive Sampling. - Jie Yang 009; Abdesselam Bouzerdoum; Son Lam Phung (ICASSP, 2010)

Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task. - Jie Yang 009; Abdesselam Bouzerdoum; Fok Hing Chi Tivive; Son Lam Phung (IJCNN, 2010)

Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging. - Jie Yang 009; Abdesselam Bouzerdoum; Fok Hing Chi Tivive; Moeness G. Amin (ICASSP, 2011)

A sparsity-based training algorithm for Least Squares SVM. - Jie Yang 009; Jun Ma 002 (CIDM, 2014)

A structure optimization algorithm of neural networks for large-scale data sets. - Jie Yang 009; Jun Ma 002; Matthew Berryman; Pascal Perez (FUZZ-IEEE, 2014)

A big-data processing framework for uncertainties in transportation data. - Jie Yang 009; Jun Ma 002 (FUZZ-IEEE, 2015)

A conceptual model for clustering local government areas using complex fuzzy sets. - Jun Ma 002; Jie Yang 009; Rohan Wickramasuriya Denagamage; Murad Safadi (FUZZ-IEEE, 2016)

Exploring technology integration in education using fuzzy representation and feature selection. - Jie Yang 009; Jun Ma 002; Sarah K. Howard (FUZZ-IEEE, 2016)

Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning. - Sarah K. Howard; Jun Ma 002; Jie Yang 009 (Comput. Educ., 2016)

A hybrid gene expression programming algorithm based on orthogonal design. - Jie Yang 009; Jun Ma 002 (Int. J. Comput. Intell. Syst., 2016)

Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews. - Jie Yang 009; Brian Yecies (J. Big Data, 2016)

The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes. - Tao Jiang; Ping Yu 004; David Hailey; Jun Ma 002; Jie Yang 009 (J. Medical Syst., 2016)

A structure optimization framework for feed-forward neural networks using sparse representation. - Jie Yang 009; Jun Ma 002 (Knowl. Based Syst., 2016)

A big data analytic framework for investigating streaming educational data. - Jie Yang 009; Jun Ma 002; Sarah K. Howard; Matthew Ciao; Rangan Srikhanta (ACSW, 2017)

Using complex fuzzy sets for strategic cost evaluation in supply chain downstream. - Jun Ma 002; Lipeng Feng; Jie Yang 009 (FUZZ-IEEE, 2017)

Investigating live streaming data for student behaviour modelling. - Jie Yang 009; Jun Ma 002; Sarah K. Howard (FUZZ-IEEE, 2017)

Data mining in educational technology classroom research: Can it make a contribution? - Charoula Angeli; Sarah K. Howard; Jun Ma 002; Jie Yang 009; Paul A. Kirschner (Comput. Educ., 2017)

Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce. - Lipeng Feng; Jun Ma 002; Yong Wang; Jie Yang 009 (Int. J. Comput. Intell. Syst., 2017)

Online opinion leadership in China's digital army: proposals for an empirical study of douban. - Jie Yang 009; Brian Yecies (ACSW, 2018)

An Alternating Least Square Based Algorithm for Predicting Patient Survivability. - Qiming Hu; Jie Yang 009; Khin Than Win; Xufeng Huang (AusDM, 2018)

Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning. - Sarah K. Howard; Jie Yang 009; Jun Ma 002; Christian Ritz 001; Jiahong Zhao; Kylie Wynne (TALE, 2018)

App clusters: Exploring patterns of multiple app use in primary learning contexts. - Sarah K. Howard; Jie Yang 009; Jun Ma 002; Karl Maton; Ellie Rennie (Comput. Educ., 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)

Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets. - Lipeng Feng; Jun Ma 002; Yong Wang; Jie Yang 009 (Int. J. Comput. Intell. Syst., 2018)

A clustering algorithm based on fuzzy sets and its application in learning analytics. - Jun Ma 002; Jie Yang 009; Sarah K. Howard (FUZZ-IEEE, 2019)

Compressive sensing-enhanced feature selection and its application in travel mode choice prediction. - Jie Yang 009; Jun Ma 002 (Appl. Soft Comput., 2019)

Working the system: Development of a system model of technology integration to inform learning task design. - Sarah K. Howard; Kate Thompson; Jie Yang 009; Jun Ma 002 (Br. J. Educ. Technol., 2019)

Feed-forward neural network training using sparse representation. - Jie Yang 009; Jun Ma 002 (Expert Syst. Appl., 2019)

Multi-view learning for context-aware extractive summarization. - Zhenyu Yang 004; Jie Yang 009; Brian Yecies; Wanqing Li 001 (SSCI, 2020)

Cancer Risk Analysis Based on Improved Probabilistic Neural Network. - Chaoyu Yang; Jie Yang 009; Ying Liu; Xianya Geng (Frontiers Comput. Neurosci., 2020)

Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters. - Chaoyu Yang; Jie Yang 009; Jun Ma 002 (Int. J. Comput. Intell. Syst., 2020)

Optimal path selection for logistics transportation based on an improved ant colony algorithm. - Xiangqian Wang 002; Huizong Li; Jie Yang 009; Chaoyu Yang; Haixia Gui (Int. J. Embed. Syst., 2020)

Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification. - Jie Yang 009; Brian Yecies; Peter Yong Zhong (Int. J. Hum. Comput. Interact., 2020)

Usage profiling from mobile applications: A case study of online activity for Australian primary schools. - Jie Yang 009; Jun Ma 002; Sarah K. Howard (Knowl. Based Syst., 2020)

Fuzzy contrastive learning for online behavior analysis. - Jie Yang 009; Gang Huang; Jun Ma 002; Sarah K. Howard; Matthew Ciao; Junbin Gao (FUZZ-IEEE, 2021)

Progressive Semantic Reasoning for Image Inpainting. - Junjie Jin; Xinrong Hu; Kai He; Tao Peng 006; Junping Liu; Jie Yang 009 (WWW (Companion Volume), 2021)

What to teach? Strategies for developing digital competency in preservice teacher training. - Sarah K. Howard; Jo Tondeur; Jun Ma 002; Jie Yang 009 (Comput. Educ., 2021)

One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. - Jo Tondeur; Sarah K. Howard; Jie Yang 009 (Comput. Hum. Behav., 2021)

Context-guided Triple Matching for Multiple Choice Question Answering. - Xun Yao; Junlong Ma; Xinrong Hu; Junping Liu; Jie Yang 009; Wanqing Li 001 (CoRR, 2021)

Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy. - Qiang Zhu; Cheng Hong 003; Bangchao Wang; Xinrong Hu; Jie Yang 009; Junping Liu (BIBM, 2022)

A privacy-aware data sharing framework for Internet of Things through edge computing platform. - Akbar Telikani; Jun Shen 001; Peng Wang 023; Jie Yang 009 (EDGE, 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 001 (NAACL-HLT (Findings), 2022)

Knowledge Graph Question Answering based on Contrastive Learning and Feature Transformation. - Xinrong Hu; Jingjing Huang; Junping Liu; Qiang Zhu; Jie Yang 009 (QRS Companion, 2022)

Sparse fuzzy classification for profiling online users and relevant user-generated content. - Jie Yang 009; Brian Yecies; Jun Ma 002; Wanqing Li 001 (Expert Syst. Appl., 2022)

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. - Akbar Telikani; Jun Shen 001; Jie Yang 009; Peng Wang 023 (IEEE Internet Things J., 2022)

Low-rank and sparse representation based learning for cancer survivability prediction. - Jie Yang 009; Jun Ma 002; Khin Than Win; Junbin Gao; Zhenyu Yang 004 (Inf. Sci., 2022)

Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. - Xun Yao; Ruyi He; Xinrong Hu; Jie Yang 009; Yi Guo 001; Zijian Huang 012 (IEEE Big Data, 2023)

MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations. - Junping Liu; Mingkang Gong; Xinrong Hu; Jie Yang 009; Yi Guo 001 (DEXA (1), 2023)

Joint Temporal Pooling for Improving Skeleton-based Action Recognition. - Shanaka Ramesh Gunasekara; Wanqing Li 001; Jie (Jack) Yang; Philip Ogunbona (DICTA, 2023)

[MASK] Insertion: a robust method for anti-adversarial attacks. - Xinrong Hu; Ce Xu; Junlong Ma; Zijian Huang 012; Jie Yang 009; Yi Guo 001; Johan Barthélemy (EACL (Findings), 2023)

Improving Machine Reading Comprehension through A Simple Masked-Training Scheme. - Xun Yao; Junlong Ma; Xinrong Hu; Jie Yang 009; Yuan-Fang Li (IJCNLP (Findings), 2023)

Towards Robust Token Embeddings for Extractive Question Answering. - Xun Yao; Junlong Ma; Xinrong Hu; Jie Yang 009; Yi Guo 001; Junping Liu (WISE, 2023)

CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. - Xun Yao; Qihang Yang; Xinrong Hu; Jie Yang 009; Yi Guo 001 (WISE, 2023)

Few-Shot Audio Classification Model for Detecting Classroom Interactions Using LaSO Features in Prototypical Networks. - Rashed Iqbal; Christian H. Ritz; Jack Yang 003; Sarah K. Howard (APSIPA, 2024)

Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. - Wangli Yang; Jie Yang 009; Wanqing Li 009; Yi Guo 001 (AI (1), 2024)

Extractive Question Answering with Contrastive Puzzles and Reweighted Clues. - Chao Liu; Jie Yang 009; Wanqing Li 001 (ICDAR (6), 2024)

ConClue: Conditional Clue Extraction for Multiple Choice Question Answering. - Wangli Yang; Jie Yang 009; Wanqing Li 009; Yi Guo 001 (ICDAR (6), 2024)

Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation. - Xun Yao; Zijian Huang 012; Xinrong Hu; Jie Yang 009; Yi Guo 001 (UAI, 2024)

SCAD: Subspace Clustering based Adversarial Detector. - Xinrong Hu; Wushuan Chen; Jie Yang 009; Yi Guo 001; Xun Yao; Bangchao Wang; Junping Liu; Ce Xu (WSDM, 2024)

COTER: Conditional Optimal Transport meets Table Retrieval. - Xun Yao; Zhixin Zhang; Xinrong Hu; Jie (Jack) Yang; Yi Guo 001; Daniel (Dianliang) Zhu (WSDM, 2024)

Defensive Dual Masking for Robust Adversarial Defense. - Wangli Yang; Jie Yang 009; Yi Guo 001; Johan Barthélemy (CoRR, 2024)

An attention-based CNN for automatic whole-body postural assessment. - Zewei Ding; Wanqing Li 001; Jie Yang 009; Philip Ogunbona; Ling Qin (Expert Syst. Appl., 2024)

Importance-Awareness Masking Network for Robust Document Retrieval. - Junping Liu; Jiaqi He; Xinrong Hu; Wangli Yang; Jie Yang 009; Yi Guo 001 (ICASSP, 2025)

Asynchronous Joint-Based Temporal Pooling for Skeleton-Based Action Recognition. - Shanaka Ramesh Gunasekara; Wanqing Li 001; Jack Yang 003; Philip O. Ogunbona (IEEE Trans. Circuits Syst. Video Technol., 2025)

Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition. - Shanaka Ramesh Gunasekara; Wanqing Li 001; Philip Ogunbona; Jie Yang 009 (CoRR, 2025)