。2011年毕业于北京理工大学计算机学院计算机应用技术专业，获得工学博士学位

主持国家自然科学基金面上、教育部博士点基金、北京市自然科学基金等多个国家级和省部级项目1、基于测度学习的人脸血缘关系识别研究，国家自然科学基金（面上），2014.1-2017.12，主持；

2、无约束环境下的人脸血缘关系识别研究，教育部博士点基金，2014.1-2016.12,主持；

3、人脸血缘关系识别方法及其在失散人员寻找中的应用，北京市自然科学基金，2014.1-2016.12，主持

1. X. Zhou, K. Jin, Y. Shang, and G. Guo, "Visually interpretable representation learning for depression recognition from facial images," IEEE Transactions on Affective Computing, 2018.

2. X. Zhou, K. Jin, Q. Chen, and M. Xu, "Multiple face tracking and recognition with identity-specific localized metric learning," Pattern Recognition, 2018.

3. X. Zhou, Q. Chen, and Y. Shang, "Learning spatially regularized similarity for robust visual tracking," Image and Vision Computing, 2017.

4. X. Zhou, Y. Shang, H. Yan, and G. Guo, "Ensemble similarity learning for kinship verification from facial images in the wild," Information Fusion, 2016.

5. X. Zhou, L. Ma, M. Xu, and Y. Shang, "Hybrid generative-discriminative learning for online tracking of sperm cell," Neurocomputing, 2016.

6. Y. Shang, G. Li, Z. Luan, X. Zhou, X. Fu, and H. Ding, "Sky detection by effective context inference," Neurocomputing, 2016.

7. X. Zhou, H. Yan, and Y. Shang, "Kinship verification from facial images by scalable similarity learning," Neurocomputing, 2016.

8. J. Lu, V. E. Liong, X. Zhou, and J. Zhou, "Learning compact binary face descriptor for face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.

9. J. Lu, X. Zhou, Y.-P. Tan, Y. Shang, and J. Zhou, "Neighborhood repulsed metric learning for kinship verification," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.

10. H. Yan, J. Lu, and X. Zhou, "Prototype-based discriminative feature learning for kinship verification," IEEE Transactions on Cybernetics, 2015.

11. H. Yan, J. Lu, W. Deng, and X. Zhou, "Discriminative multi-metric learning for kinship verification," IEEE Transactions on Information Forensics and Security, 2014.

12. W. Deng, J. Hu, X. Zhou, and J. Guo, "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning," Pattern Recognition, 2014.

13. H. Yan, J. Lu, X. Zhou, and Y. Shang, "Multi-feature multi-manifold learning for single-sample face recognition," Neurocomputing, 2014.

14. X. Zhou, Y. Shang, and J. Lu, "Polygonal approximation of digital planar curves via hybrid Monte Carlo optimization," IEEE Signal Processing Letters, 2013.

15. J. Lu, X. Zhou, Y.-P. Tan, Y. Shang, and J. Zhou, "Cost-sensitive semi-supervised discriminant analysis for face recognition," IEEE Transactions on Information Forensics and Security, 2012.

16. X. Zhou, Y. Lu, J. Lu, and J. Zhou, "Abrupt motion tracking via intensively adaptive Markov-chain Monte Carlo sampling," IEEE Transactions on Image Processing, 2012.

17. J. Lu, J. Hu, X. Zhou, Y. Shang, and Y.-P. Tan, "Neighborhood repulsed metric learning for kinship verification," IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), 2012.

18. X. Zhou, J. Lu, J. Hu, and Y. Shang, "Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments," ACM Multimedia, 2012.

19. J. Lu, J. Hu, X. Zhou, and Y. Shang, "Activity-based person identification using sparse coding and discriminative metric learning," ACM Multimedia, 2012.

20. X. Zhou, J. Hu, J. Lu, Y. Shang, and Y. Guan, "Kinship verification from facial images under uncontrolled conditions," ACM Multimedia, 2011.

21. X. Zhou and Y. Lu, "Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling," IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), 2010.