Jie Yang - RankMe

72 papers A* 3A 2B 17C 1Misc 4Journal 30Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fair Graph Learning with Limited Sensitive Attribute Information. AAAI Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang
2026	A*	`conf`	MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation. AAAI Junping Liu, Mingchao Yu, Xinrong Hu, Rui Yan, Wanqing Li, Jie Yang, Yi Guo
2025	B	`conf`	Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection. IEEE Big Data Junping Liu, Zhenhao Hu, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Yi Guo
2025	J	`jnl`	Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications. CoRR Shamim Yazdani, Akansha Singh, Nripsuta Saxena, Zichong Wang, Avash Palikhe, Deng Pan, Umapada Pal, Jie Yang, Wenbin Zhang
2025	J	`jnl`	Generative AI in depth: A survey of recent advances, model variants, and real-world applications. J. Big Data Shamim Yazdani, Akansha Singh, Nripsuta Saxena, Zichong Wang, Avash Palikhe, Deng Pan, Umapada Pal, Jie Yang, Wenbin Zhang
2025	B	`conf`	Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability. IEEE Big Data Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, Yi Guo
2025	Misc	`conf`	Importance-Awareness Masking Network for Robust Document Retrieval. ICASSP Junping Liu, Jiaqi He, Xinrong Hu, Wangli Yang, Jie Yang, Yi Guo
2025	A*	`conf`	Negative-Free Graph Contrastive Learning for Recommendation. ICDM Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang
2025	J	`jnl`	Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition. CoRR Shanaka Ramesh Gunasekara, Wanqing Li, Philip Ogunbona, Jie Yang
2025	J	`jnl`	Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition. IEEE Trans. Biom. Behav. Identity Sci. Shanaka Ramesh Gunasekara, Wanqing Li, Philip O. Ogunbona, Jie Yang
2025	J	`jnl`	Towards Transparent AI: A Survey on Explainable Language Models. CoRR Avash Palikhe, Zichong Wang, Zhipeng Yin, Rui Guo, Qiang Duan, Jie Yang, Wenbin Zhang
2024	J	`jnl`	An attention-based CNN for automatic whole-body postural assessment. Expert Syst. Appl. Zewei Ding, Wanqing Li, Jie Yang, Philip Ogunbona, Ling Qin
2024	—	`conf`	ConClue: Conditional Clue Extraction for Multiple Choice Question Answering. ICDAR (6) Wangli Yang, Jie Yang, Wanqing Li, Yi Guo
2024	—	`conf`	Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. AI (1) Wangli Yang, Jie Yang, Wanqing Li, Yi Guo
2024	J	`jnl`	Defensive Dual Masking for Robust Adversarial Defense. CoRR Wangli Yang, Jie Yang, Yi Guo, Johan Barthélemy
2024	—	`conf`	Extractive Question Answering with Contrastive Puzzles and Reweighted Clues. ICDAR (6) Chao Liu, Jie Yang, Wanqing Li
2024	A	`conf`	Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation. UAI Xun Yao, Zijian Huang, Xinrong Hu, Jie Yang, Yi Guo
2024	A	`conf`	SCAD: Subspace Clustering based Adversarial Detector. WSDM Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu
2023	B	`conf`	CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. WISE Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo
2023	B	`conf`	Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. IEEE Big Data Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang
2023	—	`conf`	Improving Machine Reading Comprehension through A Simple Masked-Training Scheme. IJCNLP (Findings) Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yuan-Fang Li
2023	—	`conf`	MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations. DEXA (1) Junping Liu, Mingkang Gong, Xinrong Hu, Jie Yang, Yi Guo
2023	B	`conf`	Towards Robust Token Embeddings for Extractive Question Answering. WISE Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu
2023	—	`conf`	[MASK] Insertion: a robust method for anti-adversarial attacks. EACL (Findings) Xinrong Hu, Ce Xu, Junlong Ma, Zijian Huang, Jie Yang, Yi Guo, Johan Barthélemy
2022	—	`conf`	A privacy-aware data sharing framework for Internet of Things through edge computing platform. EDGE Akbar Telikani, Jun Shen, Peng Wang, Jie Yang
2022	J	`jnl`	Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. IEEE Internet Things J. Akbar Telikani, Jun Shen, Jie Yang, Peng Wang
2022	—	`conf`	Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy. BIBM Qiang Zhu, Cheng Hong, Bangchao Wang, Xinrong Hu, Jie Yang, Junping Liu
2022	—	`conf`	Knowledge Graph Question Answering based on Contrastive Learning and Feature Transformation. QRS Companion Xinrong Hu, Jingjing Huang, Junping Liu, Qiang Zhu, Jie Yang
2022	J	`jnl`	Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang
2022	J	`jnl`	Sparse fuzzy classification for profiling online users and relevant user-generated content. Expert Syst. Appl. Jie Yang, Brian Yecies, Jun Ma, Wanqing Li
2021	J	`jnl`	Context-guided Triple Matching for Multiple Choice Question Answering. CoRR Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li
2021	B	`conf`	Fuzzy contrastive learning for online behavior analysis. FUZZ-IEEE Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao
2021	J	`jnl`	One-size does not fit all: Towards an adaptive model to develop preservice teachers' digital competencies. Comput. Hum. Behav. Jo Tondeur, Sarah K. Howard, Jie Yang
2021	—	`conf`	Progressive Semantic Reasoning for Image Inpainting. WWW (Companion Volume) Junjie Jin, Xinrong Hu, Kai He, Tao Peng, Junping Liu, Jie Yang
2021	J	`jnl`	What to teach? Strategies for developing digital competency in preservice teacher training. Comput. Educ. Sarah K. Howard, Jo Tondeur, Jun Ma, Jie Yang
2020	J	`jnl`	Cancer Risk Analysis Based on Improved Probabilistic Neural Network. Frontiers Comput. Neurosci. Chaoyu Yang, Jie Yang, Ying Liu, Xianya Geng
2020	J	`jnl`	Characteristics of Chinese Online Movie Reviews and Opinion Leadership Identification. Int. J. Hum. Comput. Interact. Jie Yang, Brian Yecies, Peter Yong Zhong
2020	—	`conf`	Multi-view learning for context-aware extractive summarization. SSCI Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li
2020	J	`jnl`	Optimal path selection for logistics transportation based on an improved ant colony algorithm. Int. J. Embed. Syst. Xiangqian Wang, Huizong Li, Jie Yang, Chaoyu Yang, Haixia Gui
2020	J	`jnl`	Sparse Least Squares Support Vector Machine With Adaptive Kernel Parameters. Int. J. Comput. Intell. Syst. Chaoyu Yang, Jie Yang, Jun Ma
2020	J	`jnl`	Usage profiling from mobile applications: A case study of online activity for Australian primary schools. Knowl. Based Syst. Jie Yang, Jun Ma, Sarah K. Howard
2019	B	`conf`	A clustering algorithm based on fuzzy sets and its application in learning analytics. FUZZ-IEEE Jun Ma, Jie Yang, Sarah K. Howard
2019	J	`jnl`	Compressive sensing-enhanced feature selection and its application in travel mode choice prediction. Appl. Soft Comput. Jie Yang, Jun Ma
2019	J	`jnl`	Feed-forward neural network training using sparse representation. Expert Syst. Appl. Jie Yang, Jun Ma
2019	J	`jnl`	Working the system: Development of a system model of technology integration to inform learning task design. Br. J. Educ. Technol. Sarah K. Howard, Kate Thompson, Jie Yang, Jun Ma
2018	Misc	`conf`	An Alternating Least Square Based Algorithm for Predicting Patient Survivability. AusDM Qiming Hu, Jie Yang, Khin Than Win, Xufeng Huang
2018	J	`jnl`	App clusters: Exploring patterns of multiple app use in primary learning contexts. Comput. Educ. Sarah K. Howard, Jie Yang, Jun Ma, Karl Maton, Ellie Rennie
2018	J	`jnl`	Comparison Study on Development Path for Small and Medium-sized Enterprises E-commerce Using Complex Fuzzy Sets. Int. J. Comput. Intell. Syst. Lipeng Feng, Jun Ma, Yong Wang, Jie Yang
2018	—	`conf`	Online opinion leadership in China's digital army: proposals for an empirical study of douban. ACSW Jie Yang, Brian Yecies
2018	—	`conf`	Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning. TALE Sarah K. Howard, Jie Yang, Jun Ma, Christian Ritz, Jiahong Zhao, Kylie Wynne
2017	—	`conf`	A big data analytic framework for investigating streaming educational data. ACSW Jie Yang, Jun Ma, Sarah K. Howard, Matthew Ciao, Rangan Srikhanta
2017	J	`jnl`	Data mining in educational technology classroom research: Can it make a contribution? Comput. Educ. Charoula Angeli, Sarah K. Howard, Jun Ma, Jie Yang, Paul A. Kirschner
2017	B	`conf`	Investigating live streaming data for student behaviour modelling. FUZZ-IEEE Jie Yang, Jun Ma, Sarah K. Howard
2017	J	`jnl`	Supply chain downstream strategic cost evaluation using L-COPRAS method in cross-border E-commerce. Int. J. Comput. Intell. Syst. Lipeng Feng, Jun Ma, Yong Wang, Jie Yang
2017	B	`conf`	Using complex fuzzy sets for strategic cost evaluation in supply chain downstream. FUZZ-IEEE Jun Ma, Lipeng Feng, Jie Yang
2016	B	`conf`	A conceptual model for clustering local government areas using complex fuzzy sets. FUZZ-IEEE Jun Ma, Jie Yang, Rohan Wickramasuriya Denagamage, Murad Safadi
2016	J	`jnl`	A hybrid gene expression programming algorithm based on orthogonal design. Int. J. Comput. Intell. Syst. Jie Yang, Jun Ma
2016	J	`jnl`	A structure optimization framework for feed-forward neural networks using sparse representation. Knowl. Based Syst. Jie Yang, Jun Ma
2016	B	`conf`	Exploring technology integration in education using fuzzy representation and feature selection. FUZZ-IEEE Jie Yang, Jun Ma, Sarah K. Howard
2016	J	`jnl`	Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews. J. Big Data Jie Yang, Brian Yecies
2016	J	`jnl`	Student rules: Exploring patterns of students' computer-efficacy and engagement with digital technologies in learning. Comput. Educ. Sarah K. Howard, Jun Ma, Jie Yang
2016	J	`jnl`	The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes. J. Medical Syst. Tao Jiang, Ping Yu, David Hailey, Jun Ma, Jie Yang
2015	B	`conf`	A big-data processing framework for uncertainties in transportation data. FUZZ-IEEE Jie Yang, Jun Ma
2014	C	`conf`	A sparsity-based training algorithm for Least Squares SVM. CIDM Jie Yang, Jun Ma
2014	B	`conf`	A structure optimization algorithm of neural networks for large-scale data sets. FUZZ-IEEE Jie Yang, Jun Ma, Matthew J. Berryman, Pascal Perez
2011	Misc	`conf`	Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging. ICASSP Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Moeness G. Amin
2010	B	`conf`	A particle swarm optimization algorithm based on orthogonal design. IEEE Congress on Evolutionary Computation Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
2010	Misc	`conf`	A training algorithm for sparse LS-SVM using Compressive Sampling. ICASSP Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
2010	B	`conf`	Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task. IJCNN Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Son Lam Phung
2010	—	`conf`	Multi-view through-the-wall radar imaging using compressed sensing. EUSIPCO Jie Yang, Abdesselam Bouzerdoum, Moeness G. Amin
2009	B	`conf`	A Neural Network pruning approach based on Compressive Sampling. IJCNN Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung
2009	B	`conf`	A New Approach to Sparse Image Representation Using MMV and K-SVD. ACIVS Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung