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邹勇

教授

物理与电子科学学院      

个人资料

  • 部门: 物理与电子科学学院
  • 毕业院校: [德]波茨坦大学
  • 学位: 博士
  • 学历: 博士
  • 邮编: 200062
  • 联系电话:
  • 传真:
  • 电子邮箱: yzou@phy.ecnu.edu.cn
  • 办公地址: 闵行校区物理楼429室
  • 通讯地址: 上海市华东师范大学物理系

教育经历

2004.5-2008.3,德国波茨坦大学物理系,理论物理,博士

工作经历

2022.01- 至今华东师范大学物理与电子科学学院教授
2012.01-2021.12华东师范大学物理与电子科学学院副教授
2008.04-2011.12波茨坦气候影响研究所 (PIK)第四研究部:复杂性科学博士后
2011.09-2011.12香港理工大学 (PolyU)电子及资讯工程系访问学者
2014.02-2014.05
巴西国家空间研究所 (INPE)
应用数学与计算中心
访问学者
2016.06-2016.08
西澳大利亚大学 (UWA)
数学与统计学院访问学者
2018.07-2018.08
波茨坦气候影响研究所 (PIK)
第四研究部:复杂性科学访问学者
2019.07-2019.08巴西国家空间研究所 (INPE)
应用数学与计算中心访问学者


个人简介

    2012年以来,主持国家自然科学基金面上项目1项,青年项目1项,上海市自然科学基金项目1项,教育部博士点专项基金1项,教育部留学回国人员科研启动基金1项,作为骨干参与国家级重点项目4项。加入华东师大以来,以第一或通讯作者发表SCI论文30篇,其中物理学顶级期刊2篇(Phys. Rev. Lett. 1篇,Phys. Rep. 1篇),一区7篇,二区15篇。累计共发表SCI论文80多篇(其中单篇超过100次引用的有9篇,单篇最高引用为370次,高被引论文5篇),SCI他人引用2900余次,Google Scholar引用5000余次。


Google Scholar: 

https://scholar.google.com/citations?user=kUZpb-8AAAAJ&hl=en

ORCID: 

https://orcid.org/0000-0002-3241-3139

社会兼职

    长期担任Phys Rev Lett, Science Advances, Geophys. Res. Lett., Phys. Rev. Res., Phys. Rev. E, Chaos和中国科学等20多个国内外著名期刊审稿人,并于2015年被评为 Europhys Lett优秀审稿人。

研究方向

一、非线性动力学与复杂系统:

混沌同步与控制、爆炸式同步、快慢动力学

二、时间序列复杂网络分析:

非线性时间序列分析、符号动力学、复杂网络结构与动力学

三、统计物理与复杂系统的交叉应用研究:

大脑网络动力学、气候复杂性科学、遥相关


欢迎对复杂网络、非线性动力学、统计物理与复杂系统的交叉应用研究感兴趣的同学加入课题组!

招生与培养

开授课程

本科课程:

《概率论与数理统计》

《模拟电子技术》

《大学物理C》


研究生课程:

《时间序列分析》

科研项目

          

项目编号

立项部门

起止年月

高维非线性系统信息传递方式的识别及在功能磁共振成像中的应用研究

11872182

国家自然科学基金面上项目

2019.1-2022.12

复杂动态网络爆炸式同步动力学及其应用

17ZR1444800

上海市自然科学基金

2017.5-2020.4

基于复杂网络方法的气候时间序列分析

11305062

国家自然科学青年基金

2014.1-2016.12

复杂网络理论在气候时间序列分析中的应用研究

20130076120003

教育部博士点专项基金

2014.1-2016.12

非线性时间序列的回归网络分析

1312200

留学回国人员科研启动基金

2014.1-2016.12


学术成果

[85] Y. Mao, Y. Zou, L. M. Alves, E. E. N. Macau, A. S. Taschetto, A. Santoso, and J. Kurths. Phase Coherence Between Surrounding Oceans Enhances Precipitation Shortages in Northeast Brazil. Geophysical Research Letters, 49, e2021GL097647, 2022. (Corresponding author)

[84] X. Y. Wang, X. J. Han, Z. Y. Chen, Q. S. Bi, S. G. Guan, and
Y. Zou. Multi-scale transition network approaches for nonlinear time series analysis. Chaos, Solitons & Fractals, 159, 112026, 2022. (Corresponding author)

[83] S. Y. Huo,
Y. Zou, M. Kaiser, and Z. H. Liu. Time-limited self-sustaining rhythms and state transitions in brain networks. Physical Review Research, 4, 023077, 2022.

[82] Y. Y. Zhao, J. Zhou,
Y. Zou, S. G. Guan and Y. L. Gao. Characteristics of edge-based interdependent networks. Chaos, Solitons & Fractals, 156, 111819, 2022.

[81] J. Y. Xiao, Z. Y. Chen, Q. S. Bi,
Y. Zou, S. G. Guan. Distinctive roles of hysteresis, amplitude death and oscillation death in generating fast-slow phenomena in parametrically and externally excited systems. Chaos, Solitons & Fractals, 150, 111189, 2021. (Corresponding author)

[80] M. Huang, Z. K. Sun, R. V. Donner, J. Zhang, S. G. Guan, and
Y. Zou. Characterizing dynamical transitions by statistical complexity measures based on ordinal pattern transition networks. Chaos, 31, 033127, 2021. (Corresponding author)

[79] H. Y. Wu,
Y. Zou, L. M. Alves, E. E. N. Macau, G. Sampaio, and J. A. Marengo. Uncovering episodic influence of oceans on extreme drought events in Northeast Brazil by ordinal partition network approaches. Chaos, 30, 053104, 2020. (Corresponding author)

[78] L. L. Han, Z. H. Lin, M. Tang, J. Zhou,
Y. Zou, and S. G. Guan. Impact of contact preference on social contagions on complex networks. Physical Review E, 101, 042308, 2020.

[77] H. Zhang, J. Zhou,
Y. Zou, M. Tang, G. X. Xiao, and H. E. Stanley.  Asymmetric interdependent networks with multiple-dependence relation. Physical Review E, 101, 022314, 2020.

[76] Z. W. Chen,
Y. Zou, S. G. Guan, Z. H. Liu, and J. Kurths. Fully solvable lower dimensional dynamics of Cartesian product of Kuramoto models.  New Journal of Physics, 21, 123019, 2019. (Corresponding author)

[75] Q. Ni, J. Kang,  M. Tang, Y. Liu, and
Y. Zou. Learning epidemic threshold in complex networks by Convolutional Neural Network.  Chaos, 29, 113106, 2019.

[74] Y. Z. Xu, M. Tang, Y. Liu,
Y. Zou, and Z. H. Liu. Identifying epidemic threshold by temporal profile of outbreaks on networks.  Chaos, 29, 103141, 2019.

[73] Y. J. Ruan, R. V. Donner, S. G. Guan, and
Y. Zou. Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series.  Chaos, 29, 043111, 2019. (Corresponding author)

[72] X. Li, J. M. Zhang,
Y. Zou, and S. G. Guan. Clustering and Bellerophon state in Kuramoto model with second-order coupling.  Chaos, 29, 043102, 2019.

[71] J.-M. Zhang, X. Li,
Y. Zou, and S. G. Guan. Novel transition and Bellerophon state in coupled Stuart-Landau oscillators.  Frontiers of Physics, 14, 33603, 2019.

[70] F. J. Tan, M. Tang,
Y. Zou, and J. Zhou.  Interdependent networks with redundant and dependant interconnections,  Physica A, 526 , 120777, 2019.

[69] X. C. Zhu, J. Zhou, M. Tang,
Y. Zou, G. X. Xiao. Enhanced connection adaption strategy with partition approach.  IEEE Access, 9, 34162 - 34169, 2019.

[68]
Y. Zou, R. V. Donner, N. Marwan, J. F. Donges, and J. Kurths. Complex network approaches to nonlinear time series analysis.  Physics Reports, 787, 1--97, 2019.  

[67]
Y. Zou, Z. Y. Zhao, D. Z. Yin, M. X. Fan, M. Small, Z. H. Liu, C. C. Hilgetag, and J. Kurths. Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke. NeuroImage: Clinical, 20, 523--530, 2018.

[66]
Y. Zou, E. E. N. Macau, G. Sampaio, A. M. T. Ramos,  and J. Kurths. Characterizing the exceptional 2014 drought event in Sao Paulo by drought period length. Climate Dynamics, 51, 433--442, 2018.

[65] H. Guo, J. Y. Zhang,
Y. Zou, S. G. Guan. Cross and joint ordinal partition transition networks for multivariate time series analysis. Frontiers of Physics, 13, 130508, 2018. (Corresponding author)

[64] Y. N. Huang, M. Tang,
Y. Zou, J. Zhou. Hybrid phase transitions of spreading dynamics in multiplex networks. Chinese Journal of Physics, 56, 1166--1172, 2018.

[63] A. M. T. Ramos,
Y. Zou, G. Sampaio, J. Kurths, and E. E. N. Macau. Unveiling non-stationary coupling between Amazon and ocean during recent extreme events. Climate Dynamics, 50, 767--776, 2018.

[62] D. G. de B. Costa, B. M. da F. Reis,
Y. Zou, M. G. Quiles, E. E. N. Macau. Recurrence density enhanced complex networks for nonlinear time series analysis.  Int. J. Bifurcation and Chaos,  28, 1850008, 2018. (Corresponding author)

[61] J. Zhou,
Y. Zou, S. Guan, Z. Liu, Xiao G. X., and S. Boccaletti. Connection adaption for control of networked mobile chaotic agents. Scientific Reports, 7, 16069, 2017.

[60] C. S. Wang,
Y. Zou, S. Guan, J. Kurths. Cartesian Product of Synchronization Transitions and Hysteresis. New Journal of Physics ,  13, 130201, 2017. (Corresponding author)

[59] H. Guo, A. M. T. Ramos, E. E. N. Macau,
Y. Zou, S. G. Guan. Constructing regional climate networks in the Amazonia during recent drought events.  PloS ONE, 12 (10), e0186145, 2017. (Corresponding author).  

[58] J. Y. Zhang, J. Zhou, M. Tang, H. Guo, M. Small,
Y. Zou. Constructing ordinal partition transition networks from multivariate time series. Scientific Reports, 7, 7795, 2017. (Corresponding author)

[57] L. M. Ying, J. Zhou, M. Tang, S. G. Guan,
Y. Zou. Mean-field approximations of fixation time distributions of evolutionary game dynamics on graphs. Frontiers of Physics, 13, 130201, 2017. (Corresponding author)

[56] X. Y. Nie, M. Tang,
Y. Zou, S. G. Guan, J. Zhou. The impact of heterogeneous response on coupled spreading dynamics in multiplex networks. Physica A, 484, 225--232, 2017.

[55] R. Zhang,
Y. Zou, J. Zhou, Z. K. Gao, and S. G. Guan. Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes. Communications in Nonlinear Science and Numerical Simulation, 42, 396--403, 2017. (Corresponding author)

[54] W. C. Zhou,
Y. Zou, J. Zhou, Z. H. Liu, and S. G. Guan. Intermittent Bellerophon state in frequency-weighted Kuramoto model. Chaos, 26, 123117, 2016.

[53] J. Zhou,
Y. Zou, S. Guan, Z. Liu, and S. Boccaletti. Synchronization in slowly switching networks of coupled oscillators. Scientific Reports, 6, 35979, 2016.

[52] S. Boccaletti, J. A. Almendral, S. Guan, I. Leyva, Z. Liu, I. Sendinna-Nadal, Z. Wang,
Y. Zou. Explosive transitions in complex networks' structure and dynamics: percolation and synchronization. Physics Reports, 660, 1--94, 2016.

[51] H. Bi, X. Hu, S. Boccaletti, X. Wang,
Y. Zou, Z. Liu and S. Guan. Coexistence of quantized, time dependent, clusters in globally coupled oscillators. Physical Review Letters, 117, 204101, 2016.

[50] T. Qiu, S. Boccaletti, I. Bonamassa,
Y. Zou, J. Zhou, Z. Liu, and S. Guan, Synchronization and Bellerophon states in conformist and contrarian oscillators, Scientific Reports, 6, 36713, 2016.

[49] L. Y. Zhang, L. M. Ying, J. Zhou, S. G. Guan, and
Y. Zou. Fixation probabilities of evolutionary coordination games on two coupled populations. Physical Review E, 94, 032307, 2016. (Corresponding author)

[48]
Y. Zou, E. E. N. Macau, G. Sampaio, A. Mario, and J. Kurths. Do the recent severe droughts in the Amazonia have the same period of length? Climate Dynamics, 46, 3279--3285, 2016.

[47]
Y. Zou, R. V. Donner, M. Thiel, and J. Kurths. Disentangling regular and chaotic motion in the standard map using complex network analysis of recurrences in phase space. Chaos, 26, 023120, 2016.

[46] X. Y. Zhang, S. G. Guan,
Y. Zou, X. S. Chen and Z. H. Liu. Suppressing explosive synchronization by contrarians. Europhysics Letter (EPL), 113, 28005, 2016.

[45] M. H. Zheng, C. Q. Wang, J. Zhou, M. Zhao, S. G. Guan,
Y. Zou, and Z. H. Liu. Non-periodic outbreaks of recurrent epidemics and its network modelling. Scientific Reports, 5, 16010, 2015.

[44] V. Vlasov,
Y. Zou, T. Pereira. Explosive synchronization is discontinuous. Physical Review E, 92, 012904, 2015.

[43] S. F. Ma, H. J. Bi,
Y. Zou, Z. H. Liu, and S. G. Guan. Shuttle-run synchronization in mobile ad hoc networks. Frontiers of Physics, 10, 100505, 2015.

[42] L.Y. Zhang,
Y. Zou, S. G. Guan, Z. H. Liu. Analytical description for the critical fixations of evolutionary coordination games on finite complex structured populations. Physical Review E, 91, 042807, 2015. (Corresponding author)

[41]
Y. Zou, R. V. Donner, and J. Kurths. Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls. Physical Review E, 91, 022926, 2015.

[40] Z.-K. Gao, Y.-X. Yang, P.-C. Fang,
Y. Zou, C.-Y. Xia, and M. Du. Multiscale complex network for analyzing experimental multivariate time series. Europhysics Letter (EPL), 109, 30005, 2015.

[39] H. J. Bi, X. Hu, X. Y. Zhang,
Y. Zou, Z. H. Liu, and S. G. Guan, Explosive oscillation death in coupled Stuart-Landau oscillators. Europhysics Letter (EPL), 108, 50003, (2014).

[38]
Y. Zou, R. V. Donner, N. Marwan, M. Small, and J. Kurths. Long-term changes in the north-south asymmetry of solar activity: a nonlinear dynamics characterization using visibility graphs. Nonlinear Processes in Geophysics, 21, 1113-1126, 2014.

[37] W. W. Huang, X. Y. Zhang, X. Hu,
Y. Zou, Z. H. Liu, S. G. Guan. Variation of critical point of aging transition in a networked oscillators system. Chaos, 24, 023122, 2014.

[36] R. V. Donner, J. F. Donges,
Y. Zou, and J. H. Feldhoff. Complex network analysis of recurrences. Book chapter in: C. L. Webber Jr. and N. Marwan (eds.), Recurrence Quantification Analysis: Theory and Best Practices, Springer, 101-163, 2015.

[35]
Y. Zou, M. Carmen Romano, M. Thiel, J. Kurths. Identifying coupling directions by recurrences. Book chapter in: C. L. Webber Jr. and N. Marwan (eds.), Recurrence Quantification Analysis: Theory and Best Practices, Springer, 65-99, 2015.

[34] N. Malik, N. Marwan,
Y. Zou, P. J. Mucha, and J. Kurths. Fluctuation of similarity to detect transitions between distinct dynamical regimes in short time series. Physical Review E, 89, 062908, 2014.

[33] X. Y. Zhang,
Y. Zou, S. Boccaletti, and Z. H. Liu. Explosive synchronization as a process of explosive percolation in dynamical phase space. Scientific Reports, 4, 5200, 2014.

[32]
Y. Zou, T. Pereira, M. Small, Z. H. Liu, J. Kurths. Basin of Attraction Determines Hysteresis in Explosive Synchronization. Physical Review Letters, 112, 114102, 2014.

[31]
Y. Zou, M. Small, Z. H. Liu, and J. Kurths. Complex network approach to characterize the statistical features of the sunspot series. New Journal of Physics, 16, 013051, 2014.

[30]
Y. Zou, J. Heitzig, J. Kurths. Power laws of recurrence networks. In: Dr. Markus J. Aschwanden (Ed.). Self-Organized Criticality Systems, Open Academic Press, 229-250, 2013. (Book Chapter)

[29] N. Marwan,
Y. Zou, N. Wessel, M. Riedl, and J. Kurths. Estimating coupling directions in the cardio-respiratory system using recurrence properties. Philosophical Transactions of the Royal Society A, 371, 20110624, 2013.

[28]
Y. Zou, R. V. Donner, M. Wickramasinghe, I. Z. Kiss, M. Small, and J. Kurths. Phase coherence and attractor geometry of chaotic electrochemical oscillators. Chaos, 22, 033130, 2012.

[27]
Y. Zou‚ J. Heitzig‚ R.‚V. Donner‚ J.‚F. Donges‚ J.‚D. Farmer‚ R. Meucci‚ S. Euzzor‚ N. Marwan‚ J. Kurths. Power-laws in recurrence networks from dynamical systems. Europhysics Letters (EPL)‚ 98‚ 48001‚ 2012.

[26] N. Malik‚
Y. Zou‚ N. Marwan‚ and J. Kurths. Fluctuation of similarity to detect dynamical transitions in short palaeo records of Asian monsoon. Europhysics Letters (EPL)97‚ 40009‚ 2012.

[25]
Y. Zou‚ R. V. Donner‚ J. Kurths. Geometric and dynamic perspectives on phase coherent and noncoherent chaos. Chaos22‚ 013115‚ 2012.

[24] J. Heitzig‚ J.F. Donges‚
Y. Zou‚ N. Marwan‚ and J. Kurths. Node-weighted measures for complex networks with spatially embedded‚ sampled‚ or differently sized nodes. European Physical Journal B85‚ 38‚ 2012.

[23] J. Heitzig‚ K. Lessmann‚
Y. Zou. Self-enforcing strategies to deter free-riding in the climate change mitigation game and other repeated public good games. Proceedings of the National Academy of Sciences USA (PNAS)108‚ 15739-15744‚ 2011.

[22] R. V. Donner‚ J. Heitzig‚ J. F. Donges;
Y. Zou‚ N. Marwan‚ and J. Kurths. The Geometry of chaotic dynamics -- a complex network perspective. European Physical Journal B84‚ 653-672‚ 2011.

[21] J.F. Donges‚ H. Schultz‚ N. Marwan‚
Y. Zou‚ and J. Kurths. Investigating the topology of interacting networks --- Theory and application to coupled climate subnetworks. European Physical Journal B84‚ 635-651‚ 2011.

[20] R.V. Donner‚ M. Small‚ J.F. Donges‚ N. Marwan‚
Y. Zou ‚ R. Xiang‚ and J. Kurths. Recurrence-based time series analysis by means of complex network methods. Int. J. Bifurcation and Chaos, 14‚ 1019-1046‚ 2011.

[19] A.P. Schultz‚
Y. Zou‚ N. Marwan‚ and M.T. Turvey. Local Minima-based recurrence plots for continuous dynamical systems. Int. J. Bifurcation and Chaos14‚ 1065-1075‚ 2011.

[18]
Y. Zou‚ M.C. Romano‚ M. Thiel‚ N. Marwan‚ and J. Kurths. Inferring Indirect Coupling by Means of Recurrences. Int. J. Bifurcation and Chaos21‚ 1099-1111‚ 2011.

[17]
Y. Zou‚ J. F. Donges‚ J. Kurths. Recent advances in complex climate network analysis. Complex Systems and Complexity Science8‚ 27-38‚ 2011. (in Chinese)

[16] X. Sun‚
Y. Zou‚ V. Nikiforova‚ J. Kurths‚ and D. Walther. The Complexity of Gene Expression Dynamics Revealed by Permutation Entropy. BMC Bioinformatics11‚ 607-621‚ 2010.

[15]
Y. Zou‚ R.V. Donner‚ J.F. Donges‚ N. Marwan‚ and J. Kurths. Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods. Chaos20‚ 043130‚ 2010.

[14] R.V. Donner‚
Y. Zou‚ J.F. Donges‚ N. Marwan‚ and J. Kurths. Ambiguities in recurrence based complex network representations of time series. Physical Review E (Rapid Communication)81‚ 015101(R)‚ 2010.

[13] R.V. Donner‚
Y. Zou‚ J.F. Donges‚ N. Marwan‚ and J. Kurths. Recurrence networks -- A novel paradigm for nonlinear time series analysis. New Journal of Physics12‚ 033025 ‚ 2010. (This paper has been selected as 'best of 2010')

[12] N. Marwan‚ J.F. Donges‚
Y. Zou‚ R.V. Donner‚ and J. Kurths. Complex Network Approach for Recurrence Analysis of Time Series. Physics Letters A373‚ 4246-4254‚ 2009.

[11] J.F. Donges‚
Y. Zou‚ N. Marwan‚ and J. Kurths. The backbone of the climate network. Europhysics Letters (EPL)87‚ 48007‚ 2009. 

[10] J. Kurths‚ D. Maraun‚ C. S. Zhou‚ G. Zamora-Lopez and
Y. Zou. Dynamics in complex systems. European Review17‚ 357-370‚ 2009.

[9] J.F. Donges‚
Y. Zou‚ N. Marwan‚ and J. Kurths. Complex networks in climate dynamics -- -- Comparing linear and nonlinear network construction methods. European Physical Journal -- Special Topics174‚ 157-179‚ 2009.

[8]
Y. Zou‚ M. Thiel‚ M. C. Romano‚ P. L. Read‚ and J. Kurths. Recurrence analysis of quasiperiodicity in experimental fluid data. European Physical Journal -- Special Topics164‚ 23-33‚ 2008.

[7] M. Chen‚ Y. Shang‚
Y. Zou‚ and J. Kurths. Synchronization in the Kuramoto model: A dynamical gradient network approach. Physical Review E77‚ 027101‚ 2008.

[6]
Y. Zou‚ M. Thiel‚ M.C. Romano‚ and J. Kurths. Characterization of stickiness by means of recurrence. Chaos17‚ 043101‚ 2007.

[5]
Y. Zou‚ D. Pazo‚ M.C. Romano‚ M. Thiel‚ and J. Kurths. Distinguishing quasiperiodic dynamics from chaos in short-time series. Pysical Review E76‚ 016210‚ 2007.

[4]
Y. Zou‚ M. Thiel‚ M. C. Romano‚ and J. Kurths. Analytical description of recurrence plots of dynamical systems with nontrivial recurrences. Int. J. Bifurcation and Chaos17(12):4273-4283‚ 2007.

[3]
Y. Zou‚ M. Thiel‚ M. C. Romano‚ Q. Bi‚ and J. Kurths. Shrimp structure and associated dynamics in parametrically excited oscillators. Int. J. Bifurcation and Chaos16(12):3567-3579‚ 2006.

[2] Q. Bi‚
Y. Zou‚ Z. Liu‚ and G. Chen. Chaos synchronization in internal resonant system. J. Control Theory and Application, 21(6):932-934‚ 2004‚ (Print Chinese version).

[1] Q. Bi; Z. Chen‚ Y. Zhu‚ and
Y. Zou. Dynamical analysis of coupled oscillators with parametrical excitation. Acta Mechanica Sinica, 35(3):367-372‚ 2003‚ (Print Chinese version). 


荣誉及奖励

(1)2019年高等学校科学研究优秀成果奖(科学技术)自然科学奖二等奖(排名第三),科研项目《复杂网络上的动力学相变研究》

(2)2017年上海市级教学成果奖二等奖(排名第三),教学项目《混沌动力学与复杂网络专业课程体系的构建与教学实践》


硕士生/博士生培养:

(1)2018届上海市优秀毕业生(硕士),张加洋

(2)2017年家奖学金(硕士),张加洋


本科生科研获奖:

(1)2017届本科毕业论文获得2018年第十四届全国复杂网络大会学生最佳论文奖,王昶苏(题目:爆炸式同步网络的构造)

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