贾红     

助理教授

联系方式:

Email: hongjia1102@szu.edu.cn

地址：深圳市南山区白石路深圳大学沧海校区致信楼N801

简介：

贾红，深圳大学电子与信息工程学院助理教授，硕士生导师。分别于2008年和2010年获华中科技大学理学学士和硕士学位，于2013获香港浸会大学博士学位。2013-2016年在香港浸会大学计算机科学系进行博士后研究，2016年9月至今在深圳大学电子与信息工程学院任教。研究兴趣包括机器学习，数据挖掘等。

研究方向：

·机器学习、数据挖掘

研究生招生：

硕士生：新一代电子信息技术。

主讲课程：

机器学习、人工智能原理、数字信号处理

获奖与荣誉：

深圳市海外高层次人才“孔雀计划”（C类）

科研项目：

·基于特征聚类的高维混合属性数据特征选择方法，国家自然科学基金委员会, 青年科学基金项目, 2019-01-01--2021-12-31，主持。

·高维混合属性数据无监督特征选择方法研究，广东省自然科学基金-博士科研启动项目（纵向协同管理），2018/05--2022/04，主持。

部分学术成果：

[1]Zekai Feng, Hong Jia, and Mengke Li, Long-Tailed Recognition Based on Self-attention Mechanism, Proceedings of the 21st International Conference on Intelligent Computing, LNAI 14876, 380-389, 2024.

[2]Kailing Zhou, Hong Jia, Multi-view Clustering Based on Collaborative Reconstruction, Proceedings of the 21st International Conference on Intelligent Computing, LNAI14875, 315-327, 2024.

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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.

[14]Hong 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.