賈紅     

助理教授

聯(lián)系方式:

Email: hongjia1102@szu.edu.cn

地址：深圳市南山區(qū)白石路深圳大學(xué)滄海校區(qū)致信樓N801

簡(jiǎn)介：

賈紅，深圳大學(xué)電子與信息工程學(xué)院助理教授，碩士生導(dǎo)師。分別于2008年和2010年獲華中科技大學(xué)理學(xué)學(xué)士和碩士學(xué)位，于2013獲香港浸會(huì)大學(xué)博士學(xué)位。2013-2016年在香港浸會(huì)大學(xué)計(jì)算機(jī)科學(xué)系進(jìn)行博士后研究，2016年9月至今在深圳大學(xué)電子與信息工程學(xué)院任教。研究興趣包括機(jī)器學(xué)習(xí)，數(shù)據(jù)挖掘等。

研究方向：

·機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘

研究生招生：

碩士生：新一代電子信息技術(shù)。

主講課程：

機(jī)器學(xué)習(xí)、人工智能原理、數(shù)字信號(hào)處理

獲獎(jiǎng)與榮譽(yù)：

深圳市海外高層次人才“孔雀計(jì)劃”（C類）

科研項(xiàng)目：

·基于特征聚類的高維混合屬性數(shù)據(jù)特征選擇方法，國(guó)家自然科學(xué)基金委員會(huì), 青年科學(xué)基金項(xiàng)目, 2019-01-01--2021-12-31，主持。

·高維混合屬性數(shù)據(jù)無(wú)監(jiān)督特征選擇方法研究，廣東省自然科學(xué)基金-博士科研啟動(dòng)項(xiàng)目（縱向協(xié)同管理），2018/05--2022/04，主持。

部分學(xué)術(shù)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.