Publications
Some of my published papers are listed below:
Published conference papers
- ErGAN: Generative Adversarial Networks for Entity Resolution
Jingyu Shao, Qing Wang, Asiri Wijesinghe and Erhard Rahm
The 20th IEEE International Conference on Data Mining (ICDM), 2020 - Repairing of Record Linkage: Turing Errors into Insight
Quyen Bui-Nguyen, Qing Wang, Jingyu Shao and Dinusha Vatsalan
The 22nd International Conference on Extending Database Technology (EDBT), 2019 - Learning To Sample: an Active Learning Framework
Jingyu Shao, Qing Wang and Fangbing Liu
The 19th IEEE International Conference on Data Mining (ICDM), 2019 - Active Blocking Scheme Learning for Entity Resolution
Jingyu Shao and Qing Wang
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018 - Mining Actionable Combined Patterns of High Utility and Frequency
Jingyu Shao, Junfu Yin, Wei Liu and Longbing Cao
The 2nd IEEE conference on Data Science and Advanced Analytics (DSAA), 2015 - Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship
Xiangfu Meng, Longbing Cao and Jingyu Shao
The 23rd Conference on Information and Knowledge Management (CIKM), 2014 - The Fatigue Life Simulation of Harmonic Gear Reducers based on Ansys®
Chao Zhang, Shaoping Wang and Jingyu Shao
The 7th fluid drive and control academic conference, 2012
Published journal articles
- Skyblocking for Entity Resolution
Jingyu Shao, Qing Wang and Yu Lin
Information Systems (IS), Elsevier, 2019 - Top-k Coupled Keyword Recommendation for Relational Keyword Queries
Xiangfu Meng, Longbing Cao, Xiaoyan Zhang and Jingyu Shao
Knowledge and Information Systems, Springer, 2016 - Application of an Improved Particle Filter Algorithm for Target Tracking in WSN
Jingyu Shao and Hua Fu
Journal of Central South University (Science\&Technology), 2011 - Information Fusion Technique based on Improved Kalman Filter and SVM
Jingyu Shao and Hua Fu
Microcomputer Information(Control\&Automation), 2010
Published posters
- Actively Learning Blocking Schemes for Entity Resolution
Jingyu Shao and Qing Wang
Australian Computer Science Week (ACSW), 2018 - Actionable Combined High Utility Itemsets Mining
Jingyu Shao, Junfu Yin, Wei Liu and Longbing Cao
The 29th America Association for Artificial Intelligence (AAAI) Conference on Artificial Intelligence, 2015