姓 名 王雪松 性 别 女
出生年月 1974年12月 籍贯
民 族 汉族 政治面貌 中共党员
最后学历 博士研究生毕业 最后学位
技术职称 教授 导师类别 博、硕导
行政职务 副院长 Email wangxuesongcumt@163.com
工作单位 中国矿业大学信控学院 邮政编码 221116
通讯地址 江苏徐州
单位电话
个人主页 http://www.escience.cn/people/wangxuesong/index.html


个人简介
王雪松，1974年12月生，“控制科学与工程”学科教授，博士生导师，中国矿业大学信息与控制工程学院副院长，孙越崎青年科技奖获得者，教育部新世纪优秀人才支持计划入选者，江苏省六大人才高峰入选者，江苏省333高层次人才。
现为《IEEE Transactions on Systems,Man and Cybernetics: Systems》Associated editor, 《International Journal of Machine Learning and Cybernetics》Associated editor,《电子学报》编委、江苏省自动化学会理事、IEEE会员、IEICE会员、中国电子学会高级会员、中国机械工业教育协会自动化学科教学委员会委员。担任国家科技奖励、教育部科技奖励、国家重点研发计划项目、国家自然科学基金项目等的通讯评议专家以及江苏省高校自然科学研究重大项目的会评专家。
研究方向为机器学习及模式识别、人工智能与深度学习。作为项目负责人，主持国家自然科学基金项目3项、省部级项目6项；以第一完成人身份，获教育部自然科学奖二等奖2项；在IEEE TNNLS、IEEE TCYB、IEEE TIE、IEEE TSMCA、IEEE TEC、IEEE TCDS、IEEE/ACM TCBB、IEEE JSTAR等上发表被SCI&EI收录的论文140余篇。
作为项目负责人，主持国家自然科学基金3项和江苏省自然科学基金等省部级项目7项。作为第一负责人，获教育部自然科学二等奖2项、电子学会自然科学三等奖1项。申请发明专利10项，在科学出版社出版专著5部。先后荣获江苏省高校优秀共产党员、徐州市优秀共产党员、徐州市文明职工、徐州市十大杰出女杰提名奖等荣誉称号。

获奖、荣誉称号
孙越崎青年科技奖获得者
教育部新世纪优秀人才支持计划入选者
江苏省六大人才高峰入选者
江苏省333高层次人才。

社会、学会及学术兼职
《IEEE Transactions on Systems,Man and Cybernetics: Systems》Associated editor
《International Journal of Machine Learning and Cybernetics》Associated editor
《电子学报》编委
江苏省自动化学会理事
IEEE会员
IEICE会员
中国电子学会高级会员
中国机械工业教育协会自动化学科教学委员会委员
担任国家科技奖励、教育部科技奖励、国家重点研发计划项目、国家自然科学基金项目等的通讯评议专家以及江苏省高校自然科学研究重大项目的会评专家

研究领域
模式识别
机器学习
深度学习
属性学习
零样本学习
图像理解

科研项目
1 项目名称：基于知识迁移的有限样本模式分类研究，来源：国家自然科学基金，经费：82万元，主要承担工作：项目负责人
2项目名称：生物网络建模与分析的复杂网络方法研究，来源：霍英东教育基金会青年教师基金，经费：13万元，主要承担工作：项目负责人
3项目名称：面向连续空间强化学习泛化的状态-动作图上基函数设计，来源：高等学校博士学科点专项科研基金，经费：12万元，主要承担工作：项目负责人


发表论文
1.Multi-source Transfer Double DQN Based on Actor Learning. Pan, Jie; Wang, Xuesong; Cheng, Yuhu; Yu, Qiang.IEEE Transactions on Neural Networks and Learning Systems:,2018.2.11（SCI）Accepted
2. Incremental Graph Embedding Based on Spatial-spectral Neighbors for Hyperspectral Image Classification. Dongqing Li, Yuhu Cheng, Xuesong Wang, Qiang Yu.IEEE Access:,2018.2.10( SCI) Accepted
3. Multi-source Domain Attribute Adaptation Based on Adaptive Multi-kernel Alignment Learning. Xuesong Wang, Wanwan Huang, Yuhu Cheng, Qiang Yu, and Zhongliang Wei.IEEE Transactions on Systems, Man, and Cybernetics: Systems:2017.12.27（SCI）Accepted
4. Analysis of Eddy Current and Loss of a Novel Canned Switched Reluctance Machine. Qiang Yu, Xuesong Wang*, Yuhu Cheng, Lisi Tian.IEEE Transactions on Industrial Electronics:2017.12.27（SCI）Accepted
5. Deep learning for pixel-level image fusion: Recent advances and future prospects. Yu Liu, Xun Chen*, Zengfu Wang, Z. Jane Wang, Rabab K. Ward, Xuesong Wang*.Information Fusion:,2018,42:158-173（SCI）
6. Flux linkage estimation with saliency and can effect of a can-shielded switched reluctance motor using a simple circuit network model. Qiang Yu, Chang He, Lisi Tian, Xuesong Wang*,Yuhu Cheng.International Journal of Applied Electromagnetics and Mechanics:,2018,56:103-113（SCI ）
7. Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery
Jian Liu, Yuhu Cheng, Xuesong Wang*, Xiaoluo Cui, Yi Kong, and Junping Du.IEEE/ACM Transactions on Computational Biology and Bioinformatics:,2017.10.17 （SCI）Accepted
8. Tumor Gene Expression Data Classification via Sample Expansion-Based Deep Learning. Liu Jian，Wang Xuesong*，Cheng Yuhu，Zhang Lin.Oncotarget:,2017, 8(65): 109646-109660（SCI）
9. Domain Adaptation Network Based on Hypergraph Regularized Denoising Autoencoder. Xuesong Wang, Yuting Ma, Yuhu Cheng.Artificial Intelligence Review:,2017.7.27（SCI）Accepted
10 .Exploring the Emerging Type of Comment for Online Videos: DanMu. MingHe, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang.ACM Transactions on the Web:,2017.(SCI)
11. An optimal mean based block robust feature extraction method to identify colorectal cancer genes with integrated data
Jian Liu, Yuhu Cheng, Xuesong Wang*, Lin Zhang & Hui Liu.Scientific Reports:,2017, 7: 8584（SCI）
12. Heterogeneous Domain Adaptation Network Based on Autoencoder. Xuesong Wang, Yuting Ma, Yuhu Cheng, Liang Zou, Joel J.P.C.Rodrigues.Journal of Parallel and Distributed Computing:2017.6.23 (SCI) Accepted,2017
13. Supervised Penalty Matrix Decomposition for Tumor Differentially Expressed Genes Selection. Liu Jian, Cheng Yuhu, Wang Xuesong, Cui Xiaoluo.Chinese Journal of Electronics:2017-5-17,2017.(SCI) Accept
14. Random Forest Classifier for Zero-Shot Learning Based on Relative Attribute. Yuhu Cheng, Xue Qiao, Xuesong Wang*.IEEE Transactions on Neural Networks and Learning Systems:2017. （SCI）
15. Dimensionality reduction for hyperspectral data based on pairwise constraint discriminative analysis and non-negative sparse divergence. Xuesong Wang, Yi Kong, Yang Gao, Yuhu Cheng*.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2017,2017,10(4):1552-1562. （SCI）
16. Multiple-image encryption algorithm based on mixed image element and chaos. Xiaoqiang Zhang, Xuesong Wang.Computers and Electrical Engineering:,2017, 11(1): 1-13. （SCI）
17. Improved electromagnetic models with saliency effect, a novel canned switched reluctance machine drive as example.
Qiang Yu, Xuesong Wang*, Yuhu Cheng.International Journal of Numerical Modelling: Electronic Networks, Devices and Fields:,2017,30(6).（Accepted）（SCI）
18.Self-adaptive PCNN based on the ACO algorithm and its application on medical image segmentation. Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang*.Intelligent Automation & Soft Computing:,2017,23(2),303-310. (SCI)
19. Multiple-image encryption algorithm based on mixed image element and permutation. Xiaoqiang Zhang, Xuesong Wang.Optics and Lasers in Engineering:,2017, 92(5): 6-16. （SCI）
20. Cancer progression prediction using gene interaction regularized elastic net. Zhang Lin, Liu Hui, Huang Yufei, Wang Xuesong, Chen Yidong, Meng Jia.IEEE/ACM Transactions on Computational Biology and Bioinformatics:,2017，14(1),145-154.（SCI）
21. Electromagnetic and thermal coupled analysis of can effect of a novel canned switched reluctance machine as a hydraulic pump drive. Qiang Yu, Xuesong Wang, Yuhu Cheng.International Journal of Applied Electromagnetics and Mechanics:,2017, 54,131-140. (SCI)
22. Dimensionality reduction for hyperspectral data based on sample-dependent repulsion graph regularized auto-encoder.
Xuesong Wang, Yi Kong, Yuhu Cheng.Chinese Journal of Electronics:,2017,26(6),1233-1238（SCI）
23. Pulse-coupled neural networks and parameter optimization methods. Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang*.Neural Computing and Applications:,2017，28(S1):671-681（SCI）
24. Electromagnetic modeling and analysis of can effect of a canned induction electrical machine. Qiang Yu, Xuesong Wang*, Yuhu Cheng.IEEE Transactions on Energy Conversion:,2016,31(4): 1471-1478. （SCI）
25. No-reference image blur assessment based on discrete orthogonal moments. Leida Li, Weisi Lin, Xuesong Wang, Gaobo Yang, Khosro Bahrami, Alex C. Kot.IEEE Transactions on Cybernetics:,2016, 46(1): 39-50. （SCI）
26. Automatic change detection in high-resolution remote sensing images by using a multiple classifier system and spectral-spatial features. Kun Tan, Xiao Jin, Antonio Plaza, Xuesong Wang, Liang Xiao, Peijun Du.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:,2016,9(8):3439-3451. （SCI）
27. Zero-shot image classification based on deep feature extraction. Xuesong Wang, Chen Chen, Yuhu Cheng*, Z. Jane Wang.IEEE Transactions on Cognitive and Developmental Systems:2016,DOI: 10.1109/TCDS.2016.**. （SCI）
28. Domain Adaptation Network Based on Autoencoder. Xuesong Wang,Yuting Ma,Yuhu Cheng.Chinese Journal of Electronics:2016. (Accept)(SCI)
29. An improved indirect attribute weighted prediction model for zero-shot image classification. Yuhu Cheng, Xue Qiao, Xuesong Wang.IEICE Transactions on Information and Systems:,2016, E99-D(2): 435-442. （SCI）
30. Zero-shot learning by exploiting class-related and attribute-related prior knowledge. Xuesong Wang*, Chen Chen, Yuhu Cheng.IET Computer Vision:2016,10(6): 483-492. （SCI）
31. Single-sample face recognition based on LPP feature transfer. Jie Pan, Xuesong Wang*, Yuhu Cheng.IEEE Access:,2016, 4: 2873-2884
32. FMLNCSIM: fuzzy measure-based IncRNA functional similarity calculation model. Xing Chen, Yu-an Huang, Xue-song Wang, Zhu-hong, You, Keith C.C.Chan.Oncotarget:,2016.（SCI）
33. Linear pole-placement anti-windup control for input saturation nonlinear system based on Takagi Sugeno fuzzy model. Faguang Wang, Hongmei Wang, Seungkyu Park, Xuesong Wang.International Journal of Control, Automation and Systems:,2016,14(6):1599-1606.（SCI）
34. Computational performance optimization of support vector machine based on support vectors. Xuesong Wang, Fei Huang, Yuhu Cheng.Neurocomputing:,2016, 211: 66-71. （SCI）
35. Research of multi-sided multi-granular neural network ensemble optimization method. Hui Li, Xuesong Wang, Shifei Ding.Neurocomputing:,2016, 197: 78-85. （SCI）
36. A non-negative sparse semi-supervised dimensionality reduction algorithm for hyperspectral data. Xuesong Wang, Yang Gao, Yuhu Cheng.Neurocomputing:,2016, 188: 275-283. （SCI）
37. Sandor type inequalities for Sugeno integral with respect to general (α, m, r)-convex functions. Dongqing Li, Yuhu Cheng, Xuesong Wang.Journal of Function Spaces:,2016.（SCI）
38. Thermal analysis of a canned switched reluctance drive with a novel network. Qiang Yu, Xuesong Wang, Yuhu Cheng.Journal of Applied Thermal Engineering:,2016, 109: 535-541. （SCI）
39. Quantum Discord and Entanglement in Grover Search Algorithm with Static Imperfections. Bin Ye*, Tingzhong Zhang, Liang Qiu, and Xuesong Wang*.Open Physics:,2016,14:171-176. （SCI）
40. A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Xing Chen*, Yu-an Huang, Zhuhong You*, Guiying Yan, Xuesong Wang*.Bioinformatics:2016,2017，33(5):733-739. （SCI）
41. Semi-supervised transfer discriminant analysis based on cross-domain mean constraint. Shaofei Zang, Yuhu Cheng, Xuesong Wang, Qiang Yu..Artificial Intelligence Review:2016,DOI:10.1007/s10462-016-9533-3. （SCI）
42. Research and development of neural network ensembles. Hui Li, Xuesong Wang, Shifei Ding.Artificial Intelligence Review:2016(Accept). （SCI）
43. Stability analysis of singularly perturbed control systems with actuator saturation. Yang Chunyu, Ma Lei, Ma Xiaoping, Wang Xuesong.Journal of the Franklin Institute:,2016, 353(6):1284-1296. （SCI）
44. Protein function prediction based on active semi-supervised learning. Xuesong Wang, Yuhu Cheng, Lijing Li.Chinese Journal of Electronics:,2016, 25(4): 595-600. （SCI）
45. Dimensionality reduction for hyperspectral data based on class-aware tensor neighborhood graph and patch alignment.
Yang Gao, Xuesong Wang*, Yuhu Cheng, Z.Jane Wang.IEEE Transactions on Neural Networks and Learning Systems:,2015, 26(8): 1582-1593. （SCI）
46. GPU parallel implementation of support vector machines for hyperspectral image classification. Kun Tan, Junpeng Zhang, Qian Du, Xuesong Wang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:,2015, 8(10): 4647-4656. （SCI）
47. Identification of overlapping protein complexes using structural and functional information of PPI network. Xuesong Wang, Yuhu Cheng*, Weifang Sun.Chinese Journal of Electronics:,2015, 24(3): 564-568.（SCI）
48. A quick convex hull building algorithm based on grid and binary tree. Gao Yang, Cheng Yuhu, Wang Xuesong.Chinese Journal of Electronics:,2015, 24(2): 317-320. （SCI）
49. Spectral statistics in directed complex networks and universality of Ginibre ensemble. Bin Ye*, Liang Qiu, Xuesong Wang, Thomas Guhr.Communications in Nonlinear Science and Numerical Simulation:,2015, 20(3): 1026-1032.（SCI）
50. Barnes-Godunova-Levin type inequality of Sugeno integral for (α, m)-concave function. Dongqin Li, Yuhu Cheng, Xuesong Wang, Shaofei Zang.Journal of Inequalities and Applications:,2015, (1): 1-21.（SCI）
51. Image encryption based on genetic algorithm and a chaotic system. Xiaoqiang Zhang, Xuesong Wang*, Yuhu Cheng.IEICE Trans. on Information and Systems:,2015, E98-B(05): 824-833. （SCI）

出版专著和教材
高光谱遥感数据降维. 王雪松, 程玉虎, 孔毅, 高阳.科学出版社:,2017
知识迁移学习方法及应用. 王雪松, 潘杰, 程玉虎.科学出版社:,2016
强化学习原理及其应用. 王雪松, 朱美强, 程玉虎.科学出版社:,2014
生物信息学中的机器学习分析方法. 王雪松, 程玉虎, 张林.科学出版社:,2014
机器学习理论、方法及应用. 王雪松, 程玉虎.科学出版社:,2009


我的团队
王雪松，教授，博导
程玉虎，教授，博导
余强，副教授，硕导
张晓强，副教授，硕导
潘杰，讲师，硕导