[1]Ph.D. in Computer Science, Hong Kong Baptist University

[2]M.Sc. in Mathematics, Huazhong University of Science and Technology

[3]B.S. in Mathematics, Huazhong University of Science and Technology

[1]2016 - present: Assistant Professor, College of Electronics and Information Engineering, Shenzhen University

[2]2013 - 2016: Post-Doctoral Research Fellow, Department of Computer Science, Hong Kong Baptist University

[1]Machine Learning

[2]Data Mining

[1]Jia-ming Cai, Hong Jia, A Novel Unsupervised Feature Selection based on Correlation Measure between Heterogeneous Features, Proceedings of IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence, 1-6, 2023.08.

[2]Hong Jia, Jian Huang, Low Redundancy Learning for Unsupervised Multi-view Feature Selection, Proceedings of 16th International Conference on Knowledge Science, Engineering and Management, 14117(179-190), 2023.08.

[3]Hong Jia, Menghan Dong, Subspace Clustering with Feature Grouping for Categorical Data, Proceedings of 16th International Conference on Knowledge Science, Engineering and Management, 14117(247-254), 2023.08.

[4]Hong Jia, Weiwei Zhong, Clustering Algorithm with Learnable Distance for Categorical Data with Nominal and Ordinal Attributes, Proceedings of 5th International Conference on Data Science and Information Technology, 1-5, 2022.07.

[5]Hong Jia, Yubin Weng, Unsupervised Feature Selection via Adaptive Feature Clustering for High-dimensional Data, Proceedings of 5th International Conference on Data Science and Information Technology, 1-6, 2022.07.

[6]Hong Jia, Yubin Weng, Unsupervised Feature Selection Based on 3-D Feature Decision Graph for High-dimensional Data, Proceedings of 5th International Conference on Algorithms, Computing and Artificial Intelligence, 1-6, 2022.12.

[7]Hong Jia, Jian Huang, Multi-view Graph Learning with Fuzzy Linear Discriminant Analysis, Proceedings of 5th International Conference on Algorithms, Computing and Artificial Intelligence, 1-6, 2022.12.

[8]Hong Jia, Zhimin Li, Spectral Ensemble Clustering with LDA-based Co-training for Multiview Data Analysis, Proceedings of 17th International Conference on Computational Intelligence and Security, 367-371,2021.11.

[9]Zhenghao Qiu, Hong Jia, Multi-view Clustering Analysis via Density Peak Clustering with Novel Co-training Strategy, Proceedings of 17th International Conference on Computational Intelligence and Security, 604-607, 2021.11.

[10]Hong Jia, Yiu-Ming Cheung, Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters, IEEE Transactions on Neural Networks and Learning Systems, 29(8), 3308-3325, 2018.

[11]Yao Sun, Hong Jia, and Jiwu Huang, Ensemble Clustering with Novel Weighting Strategy, Proceedings of 14th International Conference on Computational Intelligence and Security, 155-159, 2018.11.

[12]H. Jia, Yiu-Ming Cheung, and Jiming Liu, A New Distance Metric for Unsupervised Learning of Categorical Data, IEEE Transactions on Neural Networks and Learning Systems, 27(5), 1065-1079, 2016.