基本信息:宋晓宁,博士、江南大学教授、博士生导师。入选江苏省“333***人才”中青年学术带头人、江苏省“六大人才高峰”。2010年10月毕业于南京理工大学模式识别与智能系统专业,获工学博士学位。2011年5月至2014年5月在南京理工大学从事博士后研究。2014年6月至2015年6月在英国Surrey大学电子工程系视觉、语音和信号处理中心(Centre for Vision, Speech and Signal Processing)担任访问学者,合作导师:英国皇家工程院院士、原国际模式识别协会(IAPR)主席Josef Kittler教授。

研究方向:

(1) 硕士研究生

学术型研究生招生专业:计算机科学与技术

研究内容:①模式识别理论、方法及应用;②图像分析与机器视觉;③声音及自然语言处理;④生物信息学

专业型研究生招生专业:计算机技术

研究内容:①模式识别理论、方法及应用;②图像分析与机器视觉;③声音及自然语言处理;④生物信息学

(2) 博士研究生

控制科学与工程招生专业研究方向:模式识别与智能系统、机器视觉、自然语言处理

主要成果:主要在计算机视觉、自然语言处理以及生物信息领域从事研究工作。近年在国际权威学术期刊和顶级学术会议《IEEE Trans. on Cybernetics》,《IEEE Trans. on Information Forensics and Security》,《IEEE Trans. on Neural Networks and Learning Systems》,《Annual Meeting of the Association for Computational Linguistics》等以第一/通讯作者发表学术论文26篇,其中中科院一区/二区以上论文17篇,含6篇TOP期刊与顶级会议。主持国家自然基金面上项目、江苏省自然基金面上项目、中国博士后基金特别资助、国家重点研发计划子课题等各类课题20余项,授权发明专利10项,部分研究成果得到产业应用。获得省部级科技进步奖5项和江苏省教学成果奖二等奖1项。

现任中国人工智能学会模式识别专委会委员,中国计算机学会计算机视觉专委会委员,江苏省人工智能学会模式识别专委会和机器学习专委会委员。长期担任《IEEE Trans. on Cybernetics》,《IEEE Trans. on Image Processing》,《IEEE Trans. on Neural Networks and Learning Systems》,《IEEE Trans. on Circuits and Systems for Video Technology》,《Pattern Recognition》等20余个国际学术期刊审稿专家。

代表性论文:

[1] Shuang Wu, Xiaoning Song*, Zhen-Hua Feng. MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition. In Proceedings of the 59thAnnual Meeting of the Association for Computational Linguistics and the 11th International Joint Conferenceon Natural Language Processing (Volume 1: Long Papers), pages 1529-1539, 2021, Association for Computational Linguistics (ACL). (CCF-A顶会)

[2] Yahang Wang, Xiaoning Song*, Tianyang Xu, Zhenhua Feng, Xiaojun Wu. From RGB to Depth: Domain Transfer Network for Face Anti-Spoofing [J]. IEEE Trans. on Information Forensics and Security, 16 (2021) 4280 - 4290. (TOP期刊) (IF: 6.013)

[3] Xiaoning Song*, Yao Chen, Zhen-Hua Feng, et al. SP-GAN: Self-growing and Pruning Generative Adversarial Networks [J]. IEEE Trans. on Neural Networks and Learning Systems, 32(6) (2021) 2458 - 2469. (TOP期刊) (IF: 8.793)

[4] Xiaoning Song*, Zhenhua Feng, Guosheng Hu, Josef Kittler, Xiaojun Wu. Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification [J]. IEEE Trans. on Information Forensics and Security, 13(11) (2018) 2734-2745. (TOP期刊) (IF: 6.013)

[5] Xiaoning Song*, Zhenhua Feng, Guosheng Hu, Xiaojun Wu. Half-face Dictionary Integration for Representation-based Classification [J]. IEEE Trans. on Cybernetics, 47(1) (2017) 142-152. (TOP期刊) (IF: 11.079)

[6] Xiaoning Song*, Youming Chen, Zhen-Hua Feng, Guosheng Hu, Tao Zhang, Xiaojun Wu. Collaborative Representation based Face Classification Exploiting Block Weighted LBP and Analysis Dictionary Learning [J]. Pattern Recognition, 88 (2019) 127–138. (IF: 7.196)

[7] Changbin Shao, Xiaoning Song*, Zhen-Hua Feng, Xiao-Jun Wu, Yuhui Zheng. Dynamic Dictionary Optimization for Sparse-representation-based Face Classification using Local Difference Images [J]. Information Sciences, 393 (2017) 1-14. (TOP期刊) (IF: 5.910)

[8] Xiaoning Song*, Guosheng Hu, Jian-Hao Luo, Zhenhua Feng, Dong-Jun Yu, Xiao-Jun Wu. Fast SRC using quadratic optimisation in downsized coefficient solution subspace [J]. Signal Processing, 161 (2019) 101–110. (IF: 4.384)

[9] Shuzhe Bao, Xiaoning Song*, Guosheng Hu, Xibei Yang, Chunli Wang. Colour face recognition using fuzzy quaternion-based discriminant analysis [J]. International Journal of Machine Learning and Cybernetics, 10 (2019) 385-395. (IF: 3.753)

[10] Xiaoning Song*, Changbin Shao, Xibei Yang, Xiaojun Wu. Sparse representation-based classification using generalized weighted extended dictionary [J]. Soft Computing, 21 (2017) 4335–4348. (IF: 3.050)

[11] Xiaoning Song*, Xibei Yang, Changbin Shao, Jingyu Yang. Parity symmetrical collaborative representation-based classification for face recognition [J]. International Journal of Machine Learning and Cybernetics, 8 (2017) 1485-1492. (IF: 3.753)

[12] Xiaoning Song*, Zhenhua Feng, Xibei Yang, Xiaojun Wu. Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images [J]. Neurocomputing, 185 (2016) 53-63. (IF: 4.438)

[13] Xiaoning Song*, Zi Liu, Xibei Yang, Jingyu Yang, Yunsong Qi. Extended Semi-supervised Fuzzy Learning Method for Nonlinear Outliers via Pattern Discovery [J]. Applied Soft Computing, 29 (2015) 245-255. (IF: 5.472)

[14] Xiaoning Song*, Zi Liu, Jingyu Yang, Xiaojun Wu. Using idea of three-step sparse residuals measurement to perform discriminant analysis [J]. Soft Computing, 19 (2015) 2355-2370. (IF: 3.050)

[15] Xiaoning Song*, Zhen-hua Feng, Guosheng Hu, Xibei Yang, Jiangyu Yang, Yunsong Qi. Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition [J]. Journal of Electronic Imaging, 24(5) (2015) 053010-1-12. (IF: 0.884)

[16] Xiaoning Song*, Zi Liu, Xibei Yang, Jingyu Yang.AParameterized Fuzzy Adaptive K-SVD Approach for theMulti-classes Study of Pursuit Algorithms [J]. Neurocomputing, 123 (2014) 131-139. (IF: 4.438)

[17] Xiaoning Song*, Zi Liu, Xibei Yang, Shang Gao. A New Sparse Representation-based Classification Algorithm Using Iterative Class Elimination [J]. Neural Computing and Applications, 24(7-8) (2014) 1627-1637. (IF: 4.774)

[18]Xiaoning Song*, Zi Liu, Xibei Yang, Jingyu Yang.A Fuzzy Supervised Learning Method with Dynamical Parameter Estimation for Nonlinear Discriminant Analysis [J].Computers and Mathematics with Applications, 66 (2013) 1782-1794. (IF: 3.370)

[19]Xiaoning Song*, Jingyu Yang, Xiaojun Wu, Xibei Yang. An Optimal Symmetrical Null Space Criterion of Fisher Discriminant for Feature Extraction and Recognition [J].Soft Computing, 15 (2011) 281-293. (IF: 3.050)

[20] Xiaoning Song*, Yu-jie Zheng, Xiao-jun Wu, Xi-bei Yang, Jing-yu Yang. A Complete Fuzzy Discriminant Analysis Approach for Face Recognition [J].Applied Soft Computing, 10 (2010) 208-214. (IF: 5.472)

[21] Xiaoning Song*, Xibei Yang, Jingyu Yang, Xiaojun Wu, Yujie Zheng. Discriminant Analysis Approach Using Fuzzy Fourfold Subspaces Model[J].Neurocomputing, 73 (2010) 2255-2265. (IF: 4.438)

[22] Changbin Shao, Xiaoning Song*, Xin Shu, Xiaojun Wu. Converted-face identification: using synthesized images to replace original images for recognition [J]. Multimedia Tools and Applications, 76(5) (2017) 6641–6661. (IF: 2.313)

[23] Changbin Shao, Xiaoning Song*, Xibei Yang, Xiaojun Wu. Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples [J]. Soft Computing, 20(8) (2016) 3177-3187. (IF: 3.050)

[24] Zi Liu, Xiaoning Song*, Zhenmin Tang. A novel SRC fusion method using hierarchical multi-scale LBP and greedy search strategy [J]. Neurocomputing, 151 (2015) 1455–1467. (IF: 4.438)

[25] Li Mao, Delei Zhang, Youming Chen, Tao Zhang and Xiaoning Song*. Deep Aligned Feature Extraction for Collaborative Representation based Face Classification with Group Dictionary Selection [J]. International Journal of Advanced Robotic Systems. 2020, 17(6). (IF: 1.652)

[26] Zhou L, Song X*, Yu D J, et al. Sequence‐based Detection of DNA‐binding Proteins using Multiple‐View Features Allied with Feature Selection[J]. Molecular Informatics, 2020, 39(8): 2000006. (IF: 2.741)

主持科研项目:

1.国家自然科学基金面上项目(61876072),非限制人体生物视频特征中的欺诈与反欺诈技术研究,2019.1-2022.12,主持,在研。

2.江苏省自然科学基金面上项目(BK20161135),面向多源图像的深度特征表达与融合理论及其应用,2016.7-2019.7,主持,结题。

3.国家重点研发计划子课题(2017YFC1601800),面向机器学习的食品安全事故因素发现与分类技术,2018.1-2021.12,主持,在研。

4.中国博士后科学基金特别资助(2018T110441),生物视频特征中的欺诈与反欺诈技术研究,2018.6-2020.6,主持,结题。

5.中国博士后科学基金一等资助(2016M590407),图像非传统字典局部形态最优协同性研究及其应用,2016.05-2019.05,主持,结题。

6.江苏省“六大人才高峰项目”(XYDXX-012),大规模多源异质图像数据协同关联分析与立体表征,2017.10-2019.10,主持,在研。

7.高维信息智能感知与系统教育部重点实验室(JYB201603),大规模图像局部形态最优协同性研究及其应用,2016.1-2017.12,主持,结题。

8.浙江大学CAD&CG国家重点实验室开放课题(A1418),自适应非局部形态邻域正则化信号重建理论及其图像应用,2014.1-2015.12,主持,结题。

9.南京信息工程大学中美计算机科学研究中心开放基金课题,大规模多源图像深度协同理论及其应用,2016.9-2017.9,主持,结题。

10.福建省信息处理与智能控制重点实验室开放基金课题(MJUKF201709),面向姿态不变性的大规模图像稀疏协同分类方法,2017.1-2018.12,主持,在研。

11.江苏省高校自然科学研究项目(10KJB520006),特征空间中的类别聚合理论研究及其在图像识别中的应用,2010.10-2012.12,主持,结题。

12.中国博士后科学基金(2011M500926),面向高维特征的层级结构聚合理论与关键技术,2011.10-2013.12,主持,结题。

13.江苏省博士后科学基金(1102063C),面向高维图像的区域空间关系描述理论及其应用研究,2012.01-2013.12,主持,结题。

14.人工智能四川省重点实验室开放基金重点课题(2012RZY02),多粒度稀疏表示理论及其在图像反问题中的应用研究,2012.10-2014.9,主持,结题。

15.计算智能与信号处理教育部重点实验室开放课题,基于形态尺度的压缩感知正则化模型及其应用,2013.3-2015.3,主持,结题。

完成工业项目:

1.公安监所异常行为检测,江苏正德厚物联网科技发展有限公司,2021.

2.胃镜胶囊AI辅助诊断系统,无锡安之桌医疗机器人有限公司,2020.

3.国安涉密项目(*****),北京联想集团公司,2019.

4.微世检验智能显微镜AI部分(一期),第牛(上海)健康科技有限公司,2019.

E-mail:x.song@jiangnan.edu.cn/song_xiaoning_jnu@163.com