个人简介

房小兆博士2016年3月毕业于哈尔滨工业大学，校“青年百人计划A”。 2018/12-至今，广东工业大学，自动化学院，副教授 2016/06-2018/12，广东工业大学，计算机学院，副教授 2012.03-2016.03，哈尔滨工业大学，博士研究生 科研项目 国家自然科学基金面上项目，61772141，基于鲁棒表示的迁移学习理论与方法研究，2018/01-2021/12，在研，主持。 教学活动 本科生和研究生课程：数据挖掘、人工智能和模式识别

研究领域

主要研究方向为机器学习，人工智能，模式识别，图像处理。

模式识别，机器学习，人工智能，数据挖掘，视频分析，生物信息学

近期论文

查看导师最新文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

(1)Na Han, Jigang Wu,Yingyi Liang,Xiaozhao Fang(corresponding author), Wai Keung Wong, Shaohua Teng, Low-rank and sparse embedding for dimensionality reduction, Neural Networks, vol.108, pp. 202-216, 2018 (2)Na Han, JigangWu,Xiaozhao Fang(corresponding author), Shanhua Zhan, Latent Elastic-Net Transfer Learning,IEEE Transactions on Image Processing, vol. 29, no.1, pp. 2820-2833, 2020. (3)Na Han, Jigang Wu,Xiaozhao Fang(corresponding author), Jie Wen, Shanhua Zhan and Xuelong Li. Transferable Linear Discriminant Analysis [J]. IEEE Transactions on Neural Networks and Learning Systems,DOI: 10.1109/TNNLS.2020.2966746,2020. (4)Xiaozhao Fang,Yong Xu，Xuelong Li,Zhihui Lai, Wai Keung Wong, Binwu Fang, Regularized Label Relaxation Linear Regression,IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no.4, pp. 1006-1018, 2018. (5)Xiaozhao Fang, Shaohua Teng, Zhihui Lai, ZHaoshui He, Shengli Xie, Waikeung Wong, Robust latent subspace learning for image classification, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no.6, pp. 2502-2515, 2018. (6)Xiaozhao Fang,Na Han,Jigang Wu,Yong Xu,Jian Yang,Wai Keung Wong,Xuelong Li, Approximate Low-Rank Projection Learning for Feature Extraction,IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 11,pp. 5228-5241, 2018. (7)Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li,Flexible affinity matrix learning for unsupervised and semi-supervised classification, IEEE Transactions on Neural Networks and Learning Systems, vol.30, no.4. Pp.1133-1149, 2019. (8)Xiaozhao Fang,Yong Xu,Xuelong Li,Zhihui Lai,Wai Keung Wong, Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation,IEEE Transactions on Cybernetics, vol. 46, no. (8), pp. 1828-1838, 2016. (9)Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai and Wai KeungWong, Learning a Nonnegative Sparse Graph for Linear Regression, IEEE Transactions on Image Processing, vol. 24, no. 9, 2760-2771, 2015. (10)Xiaozhao Fang,Yong Xu，Xuelong Li,Zhihui Lai，Shaohua Teng, Lunke Fei, Orthogonal Self-Guided Similarity Preserving Projection for Classification and Clustering, Neural Networks, vol. 88, pp. 1-8, 2017. (11)Jie Wen, Na Han,Xiaozhao Fang(corresponding author), Lunke Fei, Ke Yan, and Shanhua Zhan, Low-rank Preserving Projection Via Graph Regularized Reconstruction, IEEE Transactions on Cybernetics, Doi: 10.1109/TCYB.2018.2799862, 2018. (12)Jie Wen,Xiaozhao Fang(corresponding author), Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, and Yong Xu, Robust Sparse Linear Discriminant Analysis,IEEE Transactions on Circuits and Systems for Video Technology, Doi: 10.1109/TCSVT.2018.2799214, 2018. (13)Zhihao Peng, Wei Zhang, Na Han, Xiaozhao Fang(corresponding author), Peipei Kang, Luyao Teng, Active transfer learning, IEEE Transactions on Circuits and Systems for Video Technology, DOI:10.1109/TCSVT.2019.2900467, 2019. (14)Yong Xu,Xiaozhao Fang(corresponding author), Xuelong Li, Jiang Yang, Jane You, Hong Liu and Shaohua Teng, Data uncertainty in face recognition, IEEE Transactions on Cybernetics, vol. 44, no. 10, pp. 1950-1961, 2015. Yong Xu,Xiaozhao Fang, Jian Wu, Xuelong Li and David Zhang. Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation, IEEE Transactions on Image Processing, vol. 25, no. 2, pp. 850-863, 2016.

学术兼职

IEEE Member；CCF会员（中国计算机协会会员）； IEEE Transactions on Neural Networks and Learning Systems审稿人 IEEE Transactions on Cybernetics审稿人 IEEE Transactions on Image Processing审稿人 IEEE Transactions on Circuits and Systems for Video Technology审稿人