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Pei Wang




NameWang Pei

TitleAssociate Professor

OfficeAttached first floor

Email wp0307(AT)126.com

Research FieldBiostatistics, Systems Biology; Complex systems and complex networks


Education

2009.09-2012.06 Ph.D Wuhan University Computatial mathematics

2007.09-2009.06 Master Wuhan University Computatial mathematicsRecommended exemption

2003.09-2007.07 Bachelor Henan University Information and computation science


Position

2017.10-Present  Henan UniversityAssociate professorPh.D supervisor

2013.08-2014.08   RMIT University Visiting scholar (Funded by Australia)

2012.06-2017.9  Henan UniversityLectureMaster supervisor

2011.10-2012.01 City University of HongkongVisiting research assistant


Selected publications

I. Monograph

[1] Jinhu Lü, Pei Wang, Modeling and analysis of bio-molecular networks, Springer Singapore, 2020. (Monograph, 464 pages), Hardcover ISBN978-981-15-9143-3eBook ISBN978-981-15-9144-0

II. Journal Papers

(36) Pei Wang*Daojie Wang, Gene Differential Co-expression Networks Based on RNA-seq Data: Construction and Its ApplicationsIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021DOI 10.1109/TCBB.2021.3103280 SCI

(35) Pei Wang*, Statistical identification of important nodes in biological systemsJournal of System Science and Complexity, 2021.DOI: 10.1007/s11424-021-0001-2. SCI

(34) Pei Wang*, Junan Lu, Yanyu Jin, Mengfan Zhu, Lingling Wang, Shunjie Chen, Statistical and network analysis of 1212 COVID-19 patients in Henan, China. International Journal of infectious Disease, 95: 391-398, 2020. SCI

MedRxiv versionPei Wang*, Junan Lu, Yanyu Jin, Mengfan Zhu, Lingling Wang, Shunjie Chen, Epidemiological characteristics of 1212 COVID-19 patients in Henan, China. medRxiv 2020.02.21.20026112; doi: https://doi.org/10.1101/2020.02.21.20026112

(33) Xiaohui Yang*, Xiaoying Jiang, Chenxi Tian, Pei Wang, Funa Zhou, Hamido Fujita, Inverse projection group sparse representation for tumor classification: A low rank variation dictionary approach, Knowledge-Based Systems, 196: 105768May 2020. SCI

(32) Shuang Xu*, Chunxia Zhang, Pei Wang, Jiangshe Zhang Variational Bayesian weighted complex network reconstruction, Information Sciences, 521:291-306, June 2020. SCI

(31) Suling Liu, Qiong Xu, Aimin Chen, Pei Wang*, Structural controllability of static and dynamic transcriptional regulatory networks for Saccharomyces cerevisiae, Physica A, 537:122772, Jan. 2020. SCI

(30) Zhen Jia*Lang Zeng; Yingying Wang; Pei WangOptimization Algorithms for Spectral Coarse-graining of Complex NetworksPhysica A, 514 (2019) 925–935. SCI

(29) Shuang Xu , Pei Wang*, Chunxia Zhang, Identification of influential spreaders in bipartite networks: a singular value decomposition approach, Physica A, 513: 297-306, 2019. SCI

(28) Shuang Xu, Pei Wang*, Chunxia Zhang, Jinhu Lü, Spectral learning algorithm reveals propagation capability of complex networkIEEE Transactions on Cybernetics, 49(12): 4253-4261, Dec. 2019. SCI

(27) Pei Wang*, Daojie Wang, Jinhu Lü, Controllability analysis of a gene network for Arabidopsis thaliana reveals characteristics of functional gene families, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(3): 912-924, May/June 2019. SCI

(26) Pei Wang, Cuiling Yang, Hao Chen, Longhai Luo, Qiuli Leng, Shicong Li, Zujing Han, Xinchun Li, Chunpeng Song, Xiao Zhang, Daojie Wang*, Exploring transcription factors reveals crucial members and regulatory networks involved in different abiotic stresses in Brassica napus L., BMC Plant Biology, 18: 202, 2018. SCI

(25) LuLu Wu, Pei Wang, Jinhu Lü*. Substrate concentration effect on gene expression in genetic circuits with additional positive feedback. Sci China Tech Sci, 61(8): 1175-1183, 2018. SCI

(24) Zaiqing Wang, Cuiling Yang, Hao Chen, Pei Wang, Chun-Peng Song, Xiao Zhang, and Daojie Wang*, Multi-gene co-transformation can improve comprehensive resistance to abiotic stresses in B napus L., Plant Science, 274 : 410–419, 2018. SCI

(23) Pei Wang*, Shuang Xu, Spectral coarse grained controllability of complex networks, Physica A, 478: 168-176, 2017. SCI

(22) Shuang Xu, Pei Wang*, Jinhu Lü, Iterative neighbour-information gathering for ranking nodes in complex networks, Scientific Reports, 7: 41321, 2017. SCI

(21) Shuang Xu, Pei Wang*, Identifying important nodes by adaptive LeaderRank, Physica A, 469: 654-664, Mar. 2017. SCI

(20) Pei Wang, Cuiling Yang, Hao Chen, Chunpeng Song, Xiao Zhang, Daojie Wang*, Transcriptomic basis for drought-resistance in Brassica napus L., Scientific Reports, 7, 40532, 2017. SCI

(19) She-Gan Gao, Rui-Min Liu, Yun-Gang Zhao, Pei Wang, Douglas G. Ward, Guang-Chao Wang, Xiang-Qian Guo, Juan Gu, Wan-Bin Niu, Tian Zhang, Ashley Martin, Zhi-Peng Guo, Xiao-Shan Feng, Yuan-Fang Ma*, Yi-Jun Qi*, Integrative topological analysis of mass spectrometry data reveals molecular features with clinical relevance in esophageal squamous cell carcinoma, Scientific Reports, 6: 21586, 2016. SCI

(18) Pei Wang*, Yao Chen, Jinhu Lü, Qingyun Wang, Xinghuo Yu, Graphical features of functional genes in human protein interaction network, IEEE Transactions on Biomedical Circuits and Systems, 10(3): 707-720, 2016. SCI

(17) Pei Wang*, Xinghuo Yu, Jinhu Lü, Identification and evolution of structurally dominant nodes in protein-protein interaction networks, IEEE Transactions on Biomedical Circuits and Systems, 8(1): 87-97, 2014. SCI

(16) Pei Wang*, Jinhu Lü, Xinghuo Yu, Zengrong Liu, Duplication and divergence effect on network motifs in undirected bio-molecular networks. IEEE Transactions on Biomedical Circuits and Systems, 9(3): 312-320, June 2015. SCI

(15) Pei Wang*, Jinhu Lü, Xinghuo Yu, Colored noise induced bistable switch in the genetic toggle switch systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(3): 579-589, May/June 2015. SCI

(14) Pei Wang*, Jinhu Lü, Xinghuo Yu, Identification of important nodes in directed biological networks: a network motif approach. PLoS One, 9(8): art.no. e106132, Aug. 2014. SCI

(13) Pei Wang*, Yuhuan Zhang, Jinhu Lü, Xinghuo Yu, Functional characteristics of additional positive feedback in genetic circuits, Nonlinear Dynamics, 79(1): 397-408, 2015. SCI

(12) Pei Wang*, Yuhuan Zhang, Shaolin Tan, Wan Li, Explicit ultimate bound sets of a new hyper-chaotic system and its application in estimating the Hausdorff dimension, Nonlinear Dynamics, 74:133-142, 2013. SCI

(11) Pei Wang, Chen-geng Tian, Jun-an Lu*, Identifying influential spreaders in artificial complex networks, Journal of Systems Science & Complexity, 27650-665, 2014. SCI

(10) Shaolin Tan*, Shasha Feng, Pei Wang, Yao Chen, Strategy Selection in Evolutionary Game Dynamics on Group Interaction Networks, Bulletin of Mathematical Biology, 76:2785–28052014. SCI

(9) Pei Wang, Jinhu Lu*, Control of Genetic Regulatory NetworksOpportunities and Challenges, Acta Automatica Sinica, 39(12): 1969-1979, 2013. EI, In Chinese

(8) Li Wan*, Qinghua Zhou, Zhigang Zhou, Pei Wang, Dynamical behaviors of stochastic Hopfield neural networks with mixed time-delays, Abstract and Applied Analysis, vol.2013, Article ID 384981, 2013. SCI

(7) Pei Wang, Jinhu Lü*, Maciej J.Ogorzalek, Global relative parameter sensitivities of the feed-forward loops in genetic networks, Neurocomputing, 78(1), pp.155-165, 2012. SCI

(6) Pei Wang, Damei Li, Xiaoqun Wu, Jinhu Lü*, Xinghuo Yu, Ultimate bound estimation of a class of high dimensional quadratic autonomous dynamical systems, International Journal of Bifurcation & Chaos, 21(9), pp. 2679-2694, 2011. SCI

(5) Pei Wang*, Damei Li, Qianli Hu, Bounds of the hyper-chaotic Lorenz-Stenflo system, Communications in Nonlinear Science & Numerical Simulation15(9), pp.2514-2520,2010. SCI

(4) Li Wan*, Qinghua Zhou, Pei Wang, Weak attractor for stochastic Cohen–Grossberg neural networks with delays, Nonlinear Dynamics, 67(3),pp.1753-1759, 2012. SCI

(3) Li Wan*, Qinghua Zhou, Pei Wang, Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays, Neurocomputing, 74(17), pp.2967-2971, 2011. SCI

(2) Li Wan*, Qinghua Zhou, Pei Wang, Ultimate boundedness and an attractor for stochastic Hopfield neural networks with time-varying delays, Nonlinear Analysis: Real World Applications, 13(2), pp.953-958, 2012. SCI

(1) Damei Li, Pei Wang*, Jun-an Lu, Some synchronization strategies for a four-scroll chaotic system, Chaos, Solitons & Fractals, 42(4), pp.2553-2559, 2009. SCI


III. Conference Papers

(15) Shunjie Chen, Pei Wang*, Gene selection from biological data via group Lasso for logistic regression model: effects of different clustering algorithms, Proceedings of the 40th Chinese Control Conference, July 26-28, pp.6374-6379, 2021, Shanghai, China. EI

(14) Na Li, Pei Wang, Synchronization of complex networks with simple fixed-time semi-intermittent controlProceedings of the 40th Chinese Control Conference, July 26-28, pp.546-551, 2021, Shanghai, China. EI

(13) Chunfang Liu, Pei Wang*, Aimin Chen, Identifying influential spreaders in complex networks by an improved spectralrank algorithm, Proceedings of the 40th Chinese Control Conference, July 26-28, pp.736-741, 2021, Shanghai, China. EI

[12] Qiong Xu, Pei Wang*, Aimin Chen, Jinhu Lu, Prediction of drug-related phenotypes based on the constructed phenotype-gene-drug heterogeneous network, The 39th Chinese Control Conference (CCC2020), July 27-29, pp. 5867-5872, Shenyang, China, 2020. EI

[11] Yan Liu, Pei Wang, Aimin Chen*, Frequency Robustness of a Synthetic Network with Birhythmicity, The 38th Chinese Control Conference (CCC2019), July 27-30, pp. 6959-6964, Guangzhou, China, 2019. EI

[10] Suling Liu, Qiong Xu, Aimin Chen, Pei Wang*, Jinhu Lü, Controllability analysis of transcriptional regulatory networks for Saccharomyces cerevisiae, The 44th Annual Conference of the IEEE Industrial Electronics Society (IECON2018), October 21-23, pp. 6172-6177, Washington DC, USA, 2018. EI

[9] Shuang Xu, Pei Wang*, Coarse graining of complex networks: a k-means clustering approach, The 28th Chinese Control and Decision Conference (CCDC2016), May 28-31, pp. 4203-4208, Yinchuan China, 2016. EI

[8] Pei Wang*, Xinghuo Yu, Jinhu Lü, Aimin Chen, Identifying important nodes in artificial bio-molecular networks, IEEE International Symposium on Circuits and Systems (ISCAS2014), June 1-5, pp. 1267-1270, Melbourne, Australia, 2014. EI

[7] Pei Wang*, Yuhuan Zhang, Jinhu Lü, Xinghuo Yu, Topological characterization of housekeeping genes in human protein-protein interaction network, IEEE International Conference on Systems Biology (ISB2014), October 25–27, pp. 1-6, Qingdao, China, 2014. EI

[6] Pei Wang*, Jinhu Lü, Li Wan, Yao Chen, A stochastic simulation algorithm for biochemical reactions with delays, IEEE International Conference on Systems Biology (ISB2013), August 23-25, pp. 109-114, Huangshan, China, 2013. EI

[5] Pei Wang*, Renquan Lu, Yao Chen, Xiaoqun Wu, Hybrid modelling of the general middle-sized genetic regulatory networks, IEEE International Symposium on Circuits and Systems (ISCAS2013), May 19-23, pp. 2103-2106, Beijing, China, 2013. EI

[4] Pei Wang, Jinhu Lü*, Yuhuan Zhang, Maciej J. Ogorzalek, Global relative input-output sensitivities of the feed-forward loops in genetic networks, Proceedings of the 31th Chinese Control Conference (CCC2012), July 20-22, pp. 7376-7381, Hefei, China, 2012. EI

[3] Pei Wang, Jinhu Lü*, Maciej J. Ogorzalek, Synchronized switching induced by colored noise in the genetic toggle switch systems coupled by quorum sensing mechanism, Proceedings of the 30th Chinese Control Conference (CCC2011), July 22-24, pp. 6605-6609, Yantai, China, 2011. EI

[2] Pei Wang, Jinhu Lü*, Yuhuan Zhang, Maciej J. Ogorzalek, Intrinsic noise induced state transition in coupled positive and negative feedback genetic circuit, IEEE International Conference on Systems Biology (ISB2011), Sep. 2-4, pp. 356-361, Zhuhai, China, 2011. EI

[1] Pei Wang, Damei Li, Xiaoqun Wu, Jinhu Lü*, Estimating the ultimate bound for the generalized quadratic autonomous chaotic systems, Proceedings of the 29th Chinese Control Conference (CCC2010), July 29-31, pp. 791-795, Beijing, China, 2010. EI


Research Funding

1. National Natural Science Foundation of China (61773153): Statistical Construction and Analysis of Bio-molecular Networks with its Applications in Omics Data Mining for Brassica napus, 2018/1-2021/12, 66W, Principal Investigator


2. National Natural Science Foundation of China (61304151): Hybrid modeling and dynamical analysis of several representative gene regulatory networks2014.1-2016.12, 25W, Principal Investigator


3. Natural Science Foundation of Henan-- Science Fund for Excellent Young Scholars (202300410045), Construction and applications of gene differential co-expression networks based on high-dimensional RNA-seq data. 20201/1/1-2022/12/30, 25W, Principal Investigator


4. Support plan for scientific and technological innovation talents in Colleges and universities of Henan Province (20HASTIT025), Identification and applications of crucial nodes in biological networks, 2020.1-2021.12, 40W, Principal Investigator


Teaching

Multivariate statistical analysis; Statistical software etc.


Talks

1. 20190724-0726 RESEARCH SCHOOL ON STATISTICS AND DATA SCIENCE 2019presentationStatistical identification of important genes in biological systems, LaTrobe University, Australia

2. 20181012-15, CCCN2019, Presentation, Chongqing

3. 2015.08.10-14, The 8th international congress on industrial and applied mathematics, China national convention center, Beijing, China. Minisymposia Chair, Presentation.

4. 2014.10.24-26 IEEE International Conference on Systems Biology, Qingdao, Shandong, PresentationTopological characterization of housekeeping genes in human protein-protein interaction network

5. 2014.06.01-05 , IEEE International Symposium on Circuits and Systems, Melbourne, Australia, Presentation

6. 2013.05.19-22, IEEE International Symposium on Circuits and Systems, CNCC,Beijing, China,  Presentation.

7. 2021.7.25-28, CCC2021, ShanghaiPresentation.


Honor and awards

[1] Third prize of Henan science and Technology Progress Award Modeling and statistical analysis of bio-molecular networks, 2017, #Grants: 2017-J-205-R01/04.

[2] 2013 Best application paper award, IEEE International Symposium on Circuits and Systems, Neural network and application technique committee, Hybrid modeling of middle-sized genetic regulatory networks.



 

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