简介(Biography)：

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月至今在深圳大学信息工程学院任教。研究兴趣包括机器学习，数据挖掘等。

Hong Jia received the M.Sc. degree from the School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China, in 2010, and the Ph.D. degree from the Department of Computer Science, Hong Kong Baptist University, Hong Kong, in 2013. She was a Post-Doctoral Research Fellow with the Department of Computer Science, Hong Kong Baptist University. She is currently an Assistant Professor with the College of Information Engineering, Shenzhen University, Shenzhen, China. Her current research interests include machine learning, data mining, and pattern recognition.

研究兴趣(Research Interests)：

• 机器学习、数据挖掘、模式识别

• Machine Learning, Data Mining,Pattern Recognition；

研究生招生(Recruitment)：

硕士生：信息与通信工程。

主讲课程(Teaching Courses)：

数字图像处理、自动控制原理、复变函数。

获奖与荣誉(Honors)：

2017年获深圳市海外高层次人才“孔雀计划”（C类）

2018年获深圳市南山区“领航人才”（C类）

科研项目(Research Projects)：

• 国家自然科学基金青年项目，“基于特征聚类的高维混合属性数据特征选择方法”，2019.01-2021.12，61806131

• 广东省自然科学基金-博士科研启动项目（纵向协同管理），“高维混合属性数据无监督特征选择方法研究”，2018/01–2020/12，2018A030310510

• 深圳大学新引进教师科研启动项目，“高维混合属性数据特征选择方法研究”，2017.06-2019.05，2017078

学术成果(Publications)

部分期刊论文Some Selected Journal Papers

• Hong Jia and Yiu-Ming Cheung, “Subspace Clustering of Categorical and Numerical Data with an Unknown Number of Clusters”, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp.3308-3325, 2018.

• Hong Jia and Yiu-Ming Cheung, “Subspace Clustering of Categorical and Numerical Data with an Unknown Number of Clusters”, IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp.1-18, 2017.

• Hong Jia, Yiu-ming Cheung, Jiming Liu, “A New Distance Metric for Unsupervised Learning of Categorical Data”, IEEE Transactions on Neural Networks and Learning Systems, vol.27, no.5, pp.1065-1079, 2016.

• Hong Jia, Yiu-ming Cheung, Jiming Liu, “Cooperative and Penalized Competitive Learning with Application to Kernel-based Clustering”, Pattern Recognition, vol. 47, pp. 3060-3069, 2014.

• Yiu-ming Cheung and Hong Jia, “Categorical-and-Numerical-Attribute Data Clustering Based on a Unified Similarity Metric without Knowing Cluster Number”, Pattern Recognition, vol. 46, no. 8, pp. 2228-2238, 2013.

部分会议论文Some Selected Conference Papers

• Yao Sun, Hong Jia, Jiwu Huang, Ensemble Clustering with Novel Weighting Strategy, 2018 14th International Conference on Computational Intelligence and Security, 155-159, Hangzhou, 2018.11.16-2018.11.19.

• Hong Jia and Yiu-ming Cheung，A new distance metric for unsupervised learning of categorical data，2014 International Joint Conference on Neural Networks, IJCNN 2014，1893-1899，Beijing，7.6-2014.7.11。

• Hong Jia and Yiu-ming Cheung，Feature weighted kernel clustering with application to medical data analysis，International Conference on Brain and Health Informatics, BHI 2013，496-505，Maebashi，10.29-2013.10.31。

• Yiu-ming Cheung and Hong Jia，A unified metric for categorical and numerical attributes in data clustering，17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013，135-146，Gold Coast, QLD，4.14-2013.4.17。