Google Scholar：https://scholar.google.com/citations?hl=zh-CN&user=QLCqaOwAAAAJ&view_op=list_works&sortby=pubdate

期刊&会议：

1. Shasha Mao, Guanghui Shi, Licheng Jiao,Shuiping Gou, Yangyang Li, Lin Xiong, and Boxin Shi. "Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition". arXiv preprint arXiv:2107.11061, July 2021.
2. Jinming Mu, Shuiping Gou, Shasha Mao*, Shankui Zheng, "A Stepwise Matching Method for Multimodal Image based on Cascaded Network", ACM MM 2021, accepted, July 2021. (pdf)
3. Shasha Mao, Jingyuan Yang, Shuiping Gou, Licheng Jiao, Tao Xiong, Lin Xiong. "Multi-scale Fused SAR Image Registration based on Deep Forest", Remote Sensing, vol.13(11): 2227, 7 June 2021.
4. Shasha Mao, Weisi Lin, Licheng Jiao, Shuiping Gou, and Jiawei Chen. "End-to-End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights".IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2931071, 51(5): 2835-2846, Apr 2021. 
5. Xinlin Wang, Shuiping Gou, Jichao Li, Yinghai Zhao, Zhen Liu, Changzhe Jiao, Shasha Mao*. "Self-paced feature attention fusion network for concealed object detection in millimeter-wave image", IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2021.3058246, 09 February 2021.
6. Xiong Tao, Yachao Li, Qi Li, Ke Wu, Lili Zhang, Yingxian Zhang, Shasha Mao, Liang Han. "Using an Equivalence-Based Approach to Derive 2-D Spectrum of BiSAR Data and Implementation into an RDA Processor", IEEE Transactions on Geoscience and Remote Sensing, 2020, 1-10.
7. Luntian Mou, Haitao Xie, Shasha Mao, Pengfei Zhao, Yanyan Chen. "Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks".  IET Intelligent Transport Systems, 2020. 
8. Shasha Mao, Jiawei Chen, Licheng Jiao, Shuiping Gou, Rongfang Wang. "Maximizing diversity by transformed ensemble learning". Applied Soft Computing, vol.82, 105580, Sep 2019. 
9. Luntian Mou, Shasha Mao, Haitao Xie, Yanyan Chen. "Structured Behavior Prediction of On-road Vehicles via Deep Forest". Electronics Letters, in press，2019. 
10. Guanghui Yue, Chunping Hou, Ke Gu, Shasha Mao, and Wenjun Zhang. "Biologically inspired blind quality assessment of tone-mapped images". IEEE Transactions on Industrial Electronics, vol. 65(3), pp.2525-2536, 2018. 
11. Shasha Mao, Lin Xiong, Licheng Jiao, Tian Feng, and Sai-Kit Yeung. "A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion", IEEE Transactions on Cybernetics, vol. 47(5), pp.1299-1312, 2017.
12. Shasha Mao, Weisi Lin, Jiawei Chen, and Lin Xiong. "Optimising ensemble combination based on maximisation of diversity". Electronics Letters, vol.53 (13), pp.1042-1044, 2017. 
13. Shasha Mao, Licheng Jiao, Lin Xiong, Bo Chen, and Sai-Kit Yeung. "Weighted classifier ensemble based on quadratic form". Pattern Recognition, vol.48 (5), pp.1688-1706, 2015. 
14. Lin Xiong, Shasha Mao, and Licheng Jiao. "Selective ensemble based on transformation of classifiers used SPCA", International Journal of Pattern Recognition and Artificial Intelligence, 29.01: 1550005, 2015. 
15. Shuang Zhang, Shuang Wang, Licheng Jiao, Bo Chen, Fang Liu, Shasha Mao, and Xizheng Ke. "A Novel Hybrid Freeman/Eigenvalue Decomposition with General Scattering Models", Journal of Infrared and Millimeter Waves, vol.34 (2), pp.265, 2015. 
16. Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, and Shasha Mao. "Double linear regressions for single labeled image per person face recognition", Pattern Recognition, vol.47 (4), pp. 1547-1558, 2014. 
17. Shuang Zhang, Shuang Wang, Bo Chen, and Shasha Mao. "Classification method for fully PolSAR data based on three novel parameters", IEEE Geoscience and Remote Sensing Letters, vol.11 (1), pp.39-43, 2014. 
18. Shasha Mao, Lin Xiong, Licheng Jiao, Shuang Zhang, and Bo Chen. "Weighted ensemble based on 0-1 matrix decomposition", Electronics Letters, vol.49 (2), pp.116-118, 2013.
19. Lin Xiong, Licheng Jiao, and Shasha Mao. "Active learning based on coupled KNN pseudo pruning", Neural Computing & Applications, vol.21 (7), pp.1669-1686, 2012.
20. Shasha Mao, Licheng Jiao, Lin Xiong, and Shuiping Gou. "Greedy optimization classifiers ensemble based on diversity", Pattern Recognition, vol.44 (6), pp.1245-1261, 2011. 
21. Shuiping Gou, Shasha Mao, and Licheng Jiao. "Isomerous Multiple Classifier Ensemble Method with SVM and KMP", IEEE International Conference on Audio, Language and Image Processing, ICALIP2008, pp.1234-1239, 2008.

中文期刊：

1. 牟伦田，谢海涛，毛莎莎，陈艳艳. "基于结构化学习的车辆行为分析". 交通工程，vol. 4，2019. （邀稿）
2. 毛莎莎，熊霖，焦李成，张爽，陈博. "利用旋转森林变换的异构多分类器集成". 西安电子科技大学学报, vol.41(5), pp.48-53, 2014. 
3. 熊霖, 焦李成, 毛莎莎. "整数矩阵变换的选择集成及对雷达目标的识别". 西安电子科技大学学报, vol. 42(2), pp.13-19, 2015. 
4. 陈博, 王爽, 焦李成, 刘芳, 毛莎莎. "贝叶斯集成框架下的极化SAR图像分类". 西安电子科技大学学报, vol.42(2), 2015. 
5. 陈博, 王爽, 焦李成, 刘芳, 毛莎莎, 张爽. "利用0-1矩阵分解集成的极化SAR图像分类". 电子信息学报, vol.37(6), pp.1495-1501, 2015.