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College of Public Health -- WANG Wei

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PERSONAL INFORMATION

Name: Wang Wei

Position: Ph.D.

CONTACT INFORMATION

Email: wwzqbx@hotmail.com; wwzqbc@cqmu.edu.cn; wwzqbx@gmail.com

https://scholar.google.com/citations?user=T-wGIzcAAAAJ&hl=zh-CN

Dr. Wang Wei is aﬃliated with Chongqing Medical University, holding positions as a doctoral and master’s advisor. He is distinguished as a Chongqing Municipal "Bayu Scholar" (Youth) and spearheads the Future Medicine Youth Innovation Team at the aforementioned institution. Dr. Wang’s academic credentials were solidiﬁed with a Ph.D. from the University of Electronic Science and Technology of China, complemented by scholarly exchanges at Harvard University and Boston University.

His investigative pursuits are anchored in network epidemiology, network medicine, synchronization, and link prediction. By integrating methodologies from computer science, physics, mathematics, and systems science, Dr. Wang has pioneered epidemiological spreading models, prognosticated epidemiological trajectories, and critically assessed epidemic mitigation strategies, thereby fortifying the theoretical framework for epidemic control decision-making.

Dr. Wang’s scholarly contributions are manifested in 130+ publications in peer-reviewed international journals. Notably, he has been the primary or corresponding contributor for 70 of these manuscripts. A breakdown of his publication record reveals 30+ articles in Q1journals (four of which boast an impact factor exceeding 10), 26 in Q2 journals, eight acknowledged as ESI highly cited, and two distinguished as highly cited by IOP. Cumulatively, his oeuvre has garnered 3200+ citations, as indexed by Google Scholar, yielding an h-index of 28. His leadership in research is further evidenced by his stewardship of 15 longitudinal studies, underwritten by an array of national and provincial funding agencies.

Academic accolades conferred upon Dr. Wang encompass the Third Prize for Outstanding Achievements in Philosophy and Social Sciences in Shaanxi Province (positioned as the 2nd author and corresponding) and the First Prize for Science and Technology Awards in Higher Education Institutions in Shaanxi Province (2021, positioned as the 2nd author). Beyond his research, Dr. Wang’s academic service includes editorial responsibilities across multiple SCI/SSCI journals and peer-review contributions to 40+ international periodicals, for which he has been commended. During his doctoral trajectory, Dr. Wang was singularly recognized with the National Scholarship, the First-Class Academic Achievement Scholarship, and was consecutively designated as Outstanding Graduate within the School of Computer Science. Further, he was bestowed the "Outstanding Graduate of UESTC" accolade.

EMPLOYMENT HISTORY

Jun. 2021 – Present Apr. 2018 – Jun. 2021

Chongqing Medical University, School of Public Health, Professor.

Sichuan University, Institute of Cybersecurity, Associate Researcher.

Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Lecturer.

EDUCATION EXPERIENCE

Sep. 2011 – Jun. 2017 Ph.D., University of Electronic Science and Technology of China, Com- puter Software and Theory Thesis title: Research on Social Biological Propagation and Its Control in Complex Networks.

Sep. 2015 – Agu. 2016 Visiting Ph.D., Boston University, Complex Networks.

Sep. 2007 – Jun. 2011 Bachelor. Chongqing University of Arts and Sciences , Information and Computational Science.

FUNDINGS

2023-2025 PI: Research Team for Precision Treatment Approaches based on Real-World Hepatitis B Big Data, Future Medical Innovation Team, Chongqing Medical University.
2023-2024 PI: Mechanism Study of Multi-Drug Treatment Group for Hepatitis B Based on Network Medicine, Chongqing Medical University Smart Medical Team, ZHYX202223.
2022 – 2023 PI: Research on the Impact of Online Public Opinion Dissemination on Epi- demic Prevention and Control Strategies, School of Public Health, Chongqing Medical University, ggwsaqyjzx202204
2022 – 2025 PI: Data-Driven Research on Higher-Order Network Epidemic Propaga- tion Dynamics, Chongqing Municipal Education Commission Scientiﬁc Research, KJQN202200429.
2022 – 2024 PI: Research on Epidemic Prevention and Control Strategies Based on In- formation Diﬀusion in Social Networks, Chongqing Social Liaison, 2021PY53.
2021 – 2024 PI: Research on Epidemic Propagation on Temporal Complex Networks, Yuzhong District Science and Technology Bureau, Chongqing, 2021-2024, 20210117.
2022 – 2024 PI: Research on Medical Resource Allocation Strategy Based on Coupled Propagation Dynamics,Chongqing Science and Technology Bu- reau, cstc2021jcyj-msxmX0132.
2021 – 2025 PI: Chongqing Medical University Talent Introduction Startup Fund
2020 – 2021 PI: Research on Social Communication on Multi-Source Complex Social Net- works, Sichuan Provincial Department of Science and Technology, 2020YJ0048,.
2020 – 2022 PI: Research on Multi-Coupled Social Communication in Social Networks, National Natural Science Foundation of China Youth Fund Project, 61903266,, 2020-2022.
2019 – 2020 PI: Research on Social Communication on Temporal Networks, 12th Batch of China Postdoctoral Special Support, 2019T120829.
2018 – 2019 PI: Research on Social Communication on Double-Coupled Networks, 63rd Batch of China Postdoctoral Foundation General Fund (First Class), 2018M631073,.
2018 – 2020 PI: Research on Complex Communication on Multi-Layer Social Networks, Sichuan University Talent Introduction Funding, YJ201830.
2013 – 2016 PI: Epidemic Propagation on Double-Coupled Networks, Chengdu University Outstanding Doctoral Academic Support Program, YXBSZC20131065.

RESEARCH PUBLICATIONS

Journal Articles

M. Cai, H. Luo, X. Meng, Y. Cui, and W. Wang*, “Network distribution and sentiment interaction: Information diﬀusion mechanisms between social bots and human users on social media,” Information Processing & Management, vol. 60, no. 2, p. 103 197, 2023.
J. Fan, L. Zhu, X. Wu, C. Luo, A. Huang*, and W. Wang*, “Covid-19 vaccination in the mass vaccination center: Clinical practice and eﬀectiveness analysis,” Frontiers in Public Health, vol. 11, p. 1 072 883, 2023.
Y. Lai, Y. Liu, K. Zheng, and W. Wang*, “Robustness of interdependent higher-order networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 33, no. 7, 2023.
Q.Li, L. Cheng, W. Wang, X. Li, S. Li, and P. Zhu, “Inﬂuence maximization through exploring structural information,” Applied Mathematics and Computation, vol. 442, p. 127 721, 2023.
W. Li, M. Cai, X. Zhong, Y. Liu, T. Lin*, and W. Wang*, “Coevolution of epidemic and infodemic on higher-order networks,” Chaos, Solitons & Fractals, vol. 168, p. 113 102, 2023.
Y. Nie, M. Zhong, R. Li, et al., “Digital contact tracing on hypergraphs,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 33, no. 6, 2023.
Y. Nie, X. Zhong, T. Lin*, and W. Wang*, “Pathogen diversity in meta-population networks,” Chaos, Solitons & Fractals, vol. 166, p. 112 909, 2023.
H. Peng, C. Qian, D. Zhao, et al., “Message passing approach to analyze the robustness of hypergraph,” arXiv preprint arXiv:2302.14594, 2023.
H. Peng, Z. Xie, D. Zhao, M. Zhong, J. Han, and W. Wang*, “Reliability analysis of interdependent hypergraph network under diﬀerent attack strategies,” International Journal of Modern Physics C, vol. 34, no. 02, p. 2 350 027, 2023.
H. Peng, Y. Zhao, D. Zhao, et al., “Robustness of higher-order interdependent networks,” Chaos, Solitons & Fractals, vol. 171, p. 113 485, 2023.
J. Wang, S. Cai, W. Wang, and T. Zhou, “Link cooperation eﬀect of cooperative epidemics on complex networks,” Applied Mathematics and Computation, vol. 437, p. 127 537, 2023.
D. Zhao, X. Ling, X. Zhang, et al., “Robustness of directed higher-order networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 33, no. 8, 2023.
M. Cai, H. Luo, X. Meng, Y. Cui, and W. Wang*, “Inﬂuence of information attributes on information dissemination in public health emergencies,” Humanities and Social Sciences Communications, vol. 9, no. 1, pp. 1–22, 2022.
W. Li, L. Ni, Y. Zhang, S. Su, B. Peng*, and W. Wang*, “Immunization strategies for simplicial irreversible epidemic on simplicial complex,” Frontiers in Physics, p. 946, 2022.
W. Li, Y. Nie, W. Li, X. Chen, S. Su, and W. Wang*, “Two competing simplicial irreversible epidemics on simplicial complex,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 32, no. 9, 2022.
W. Li, X. Xue, L. Pan, T. Lin*, and W. Wang*, “Competing spreading dynamics in simplicial complex,” Applied Mathematics and Computation, vol. 412, p. 126 595, 2022.
Y. Nie, W. Li, L. Pan, T. Lin*, and W. Wang*, “Markovian approach to tackle competing pathogens in simplicial complex,” Applied Mathematics and Computation, vol. 417, p. 126 773, 2022.
Y. Nie, L. Pan, T. Lin*, and W. Wang*, “Information spreading on metapopulation networks with heterogeneous contacting,” International Journal of Modern Physics C, vol. 33, no. 03, p. 2 250 031, 2022.
Y. Nie, X. Zhong, T. Lin*, and W. Wang*, “Homophily in competing behavior spreading among the heterogeneous population with higher-order interactions,” Applied Mathematics and Computation, vol. 432, p. 127 380, 2022.
Y. Nie, X. Zhong, T. Wu, Y. Liu, T. Lin*, and W. Wang*, “Eﬀects of network temporality on coevolution spread epidemics in higher-order network,”Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 6, pp. 2871–2882, 2022.
H. Peng, C. Qian, D. Zhao, M. Zhong, J. Han, and W. Wang*, “Targeting attack hypergraph networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 32, no. 7, 2022.
H. Peng, C. Qian, D. Zhao, M. Zhong, X. Ling, and W. Wang*, “Disintegrate hypergraph networks by attacking hyperedge,”Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 7, pp. 4679–4685, 2022.
R. Tang, X. Chen, C. Wei, et al., “Interlayer link prediction based on multiple network structural attributes,” Computer Networks, vol. 203, p. 108 651, 2022.
R. Tang, S. Jiang, X. Chen*, W. Wang, and W. Wang*, “Network structural perturbation against interlayer link prediction,” Knowledge-Based Systems, vol. 250, p. 109 095, 2022.
J. Wang, W. Xiong, R. Wang, et al., “Eﬀects of the information-driven awareness on epidemic spreading on multiplex networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 32, no. 7, 2022.
W. Wang, W. Li, T. Lin, T. Wu, L. Pan, and Y. Liu, “Generalized k-core percolation on higher-order dependent networks,” Applied Mathematics and Computation, vol. 420, p. 126 793, 2022.
X. Xue, W. Li, Y. Nie, X. Lei, T. Lin, and W. Wang*, “Cooperative epidemic spreading in simplicial complex,” Communications in Nonlinear Science and Numerical Simulation, vol. 114, p. 106 671, 2022.
Y. Zhang, Y. Xiong, S. Shen, et al., “Causal association between tea consumption and kidney function: A mendelian randomization study,” Frontiers in Nutrition, vol. 9, p. 801 591, 2022.
D.-D. Zhao, W.-X. Peng, H. Peng, and W. Wang*, “Eﬀects of heterogeneous adoption thresholds on contact-limited social contagions,” Chinese Physics B, vol. 31, no. 6, p. 068 906, 2022.
D. Zhao, R. Li, H. Peng, M. Zhong, and W. Wang*, “Higher-order percolation in simplicial complexes,” Chaos, Solitons & Fractals, vol. 155, p. 111 701, 2022.
D. Zhao, R. Li, H. Peng, M. Zhong, and W. Wang*, “Percolation on simplicial complexes,” Applied Mathematics and Computation, vol. 431, p. 127 330, 2022.
K. Zheng, Y. Liu*, J. Gong, and W. Wang*, “Robustness of circularly interdependent networks,” Chaos, Solitons & Fractals, vol. 157, p. 111 934, 2022.
X. Zhu, Y. Wang, N. Zhang, H. Yang, and W. Wang*, “Inﬂuence of heterogeneity of infection thresholds on epidemic spreading with neighbor resource supporting,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 32, no. 8, 2022.
C. Gan, Q.Zhu, W. Wang, and J. Li, “Dynamical modeling, analysis, and control of information diﬀusion over social networks,” Discrete Dynamics in Nature and Society, vol. 2021, pp. 1–2, 2021.
W. Li, S. Zhang, W. Wang*, and T. Lin*, “Information diﬀusion structure on social networks with general degree distribution,” International Journal of Modern Physics C, vol. 32, no. 04, p. 2 150 047, 2021.
Y. Nie, W. Li, L. Pan, W. Wang*, and T. Lin*, “Eﬀects of destination selection strategy on information spreading,” Physics Letters A, vol. 389, p. 127 098, 2021.
L. Pan, H.-J. Shang, P. Li, H. Dai, W. Wang*, and L. Tian*, “Predicting hyperlinks via hypernetwork loop structure,” Europhysics Letters, vol. 135, no. 4, p. 48 005, 2021.
L. Pan, W. Wang*, L. Tian, and Y.-C. Lai, “Optimal networks for dynamical spreading,” Physical Review E, vol. 103, no. 1, p. 012 302, 2021.
J. Pei, Y. Liu*, W. Wang*, and J. Gong, “Cascading failures in multiplex network under ﬂow redistribution,” Physica A: Statistical Mechanics and its Applications, vol. 583, p. 126 340, 2021.
Q.Shi, Y. Hu, B. Peng, et al., “Eﬀective control of sars-cov-2 transmission in wanzhou, china,” Nature medicine, vol. 27, no. 1, pp. 86–93, 2021.
R. Tang, Z. Miao, S. Jiang, X. Chen, H. Wang, and W. Wang, “Interlayer link prediction in multiplex social networks based on multiple types of consistency between embedding vectors,” IEEE Transactions on Cybernetics, 2021.
L. Wang, X. Chen, Y. Wang, et al., “Analyzing adversarial robustness of deep neural networks in pixel space: A semantic perspective,” arXiv preprint arXiv:2106.09872, 2021.
L. Wang, X. Chen*, R. Tang, et al., “Improving adversarial robustness of deep neural networks by using semantic information,” Knowledge-Based Systems, vol. 226, p. 107 141, 2021.
X. Wang, X. Zhu, X. Tao, J. Xiao, W. Wang*, and Y.-C. Lai, “Anomalous role of information diﬀusion in epidemic spreading,” Physical Review Research, vol. 3, no. 1, p. 013 157, 2021.
X. Xian, T. Wu, Y. Liu, et al., “Towards link inference attack against network structure perturbation,” Knowledge-Based Systems, vol. 218, p. 106 674, 2021.
X. Xian, T. Wu, S. Qiao, et al., “Deepec: Adversarial attacks against graph structure prediction models,” Neurocomputing, vol. 437, pp. 168–185, 2021.
L. Yang, X. Chen, Y. Luo, X. Lan, and W. Wang, “Idea: A utility-enhanced approach to incomplete data stream anonymization,” Tsinghua Science and Technology, vol. 27, no. 1, pp. 127–140, 2021.
K. Zheng, Y. Liu*, Y. Wang, and W. Wang*, “K-core percolation on interdependent and interconnected multiplex networks,” Europhysics Letters, vol. 133, no. 4, p. 48 003, 2021.
X. Zhu, Y. Liu, S. Wang, R. Wang*, X. Chen*, and W. Wang*, “Allocating resources for epidemic spreading on metapopulation networks,” Applied Mathematics and Computation, vol. 411, p. 126 531, 2021.
X. Chen, K. Gong, R. Wang, S. Cai, and W. Wang*, “Eﬀects of heterogeneous self-protection awareness on resource-epidemic coevolution dynamics,” Applied Mathematics and Computation, vol. 385, p. 125 428, 2020.
X. Chen, Q.Liu, R. Wang, Q.Li, and W. Wang*, “Self-awareness-based resource allocation strategy for containment of epidemic spreading,” Complexity, vol. 2020, 2020.
Y. Ma, X. Xue, M. Cai, and W. Wang*, “Shortest path of temporal networks: An information spreading-based approach,” Chinese Physics B, vol. 29, no. 12, p. 128 902, 2020.
L. Pan, D. Yang, W. Wang*, S. Cai, T. Zhou, and Y.-C. Lai, “Phase diagrams of interacting spreading dynamics in complex networks,” Physical Review Research, vol. 2, no. 2, p. 023 233, 2020.
H. Peng, C. Liu, D. Zhao, H. Ye, Z. Fang, and W. Wang*, “Security analysis of cps systems under diﬀerent swapping strategies in iot environments,” IEEE Access, vol. 8, pp. 63 567–63 576, 2020.
H. Peng, W. Peng, D. Zhao, and W. Wang*, “Impact of the heterogeneity of adoption thresholds on behavior spreading in complex networks,” Applied Mathematics and Computation, vol. 386, p. 125 504, 2020.
J. Ren, Q.Yang, Y. Zhu, et al., “Complex social contagions on weighted networks considering adoption threshold heterogeneity,” IEEE Access, vol. 8, pp. 61 905–61 914, 2020.
C. Song, Y. Chen, N. Chen, Z. Liu, X. Zhu, and W. Wang, “Containing epidemic spreading on networks with neighbor resource supporting,” Complexity, vol. 2020, pp. 1–13, 2020.
R. Tang, S. Jiang, X. Chen*, H. Wang, W. Wang, and W. Wang*, “Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm,” Knowledge-Based Systems, vol. 194, p. 105 598, 2020.
Y. Wang, Y. Wang, X. Lin, and W. Wang*, “The inﬂuence of network structural preference on link prediction,” Discrete Dynamics in Nature and Society, vol. 2020, pp. 1–9, 2020.
Y. Wen, X. Chen, X. Zeng, and W. Wang, “Analysis of e-mail account probing attack based on graph mining,” Scientiﬁc Reports, vol. 10, no. 1, p. 7240, 2020.
J. Xian, D. Yang, L. Pan, M. Liu, and W. Wang*, “Containing rumors spreading on correlated multiplex networks,”Journal of Statistical Mechanics: Theory and Experiment, vol. 2020, no. 2, p. 023 402, 2020.
J. Xian, D. Yang, L. Pan, and W. Wang*, “The optimal edge for containing the spreading of sis model,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2020, no. 4, p. 043 501, 2020.
X. Xian, T. Wu, S. Qiao, W. Wang, Y. Liu, and N. Han, “Multi-view low-rank coding-based network data de-anonymization,” IEEE Access, vol. 8, pp. 94 575–94 593, 2020.
X. Xian, T. Wu, S. Qiao, X.-Z. Wang, W. Wang, and Y. Liu, “Netsre: Link predictability measuring and regulating,” Knowledge-Based Systems, vol. 196, p. 105 800, 2020.
X. Xue, L. Pan, M. Zheng, and W. Wang*, “Network temporality can promote and suppress information spreading,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 30, no. 11, 2020.
D. Yang, J. Xian, L. Pan, W. Wang, and T. Zhou, “Eﬀective edge-based approach for promoting the spreading of information,” IEEE Access, vol. 8, pp. 83 745–83 753, 2020.
X. Yu, Q.Yang, K. Ai, X. Zhu, and W. Wang*, “Information spreading on two-layered multiplex networks with limited contact,” IEEE Access, vol. 8, pp. 104 316–104 325, 2020.
Y. Zhou, Z. Yue, Q.-H. Liu*, and W. Wang*, “Social reinforcement inducing discontinuous spreading in complex networks,” Europhysics Letters, vol. 128, no. 6, p. 68 002, 2020.
Y. Dai*, J. Zhang, and W. Wang*, “Interconnecting strategy of bridging multilayer networks to maximize synchronizability,” Europhysics Letters, vol. 125, no. 1, p. 18 003, 2019.
L. Gao, P. Shu, M. Tang*, W. Wang*, and H. Gao, “Eﬀective traﬃc-ﬂow assignment strategy on multilayer networks,” Physical Review E, vol. 100, no. 1, p. 012 310, 2019.
X.-C. Liu, X.-Z. Zhu, H. Tian, Z.-P. Zhang, and W. Wang, “Identifying localized inﬂuential spreaders of information spreading,” Physica A: Statistical Mechanics and its Applications, vol. 519, pp. 92–97, 2019.
L. Pan, W. Wang*, S. Cai, and T. Zhou, “Optimal interlayer structure for promoting spreading of the susceptible-infected-susceptible model in two-layer networks,” Physical Review E, vol. 100, no. 2, p. 022 316, 2019.
L. Pan, W. Wang*, S. Cai, and T. Zhou, “Optimizing spreading dynamics in interconnected networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 29, no. 10, 2019.
J. Wang, B. Zhou, and W. Wang*, “Information spreading on multirelational networks,” Physica A: Statistical Mechanics and Its Applications, vol. 517, pp. 21–28, 2019.
W. Wang, Q.-H. Liu, J. Liang, Y. Hu, and T. Zhou, “Coevolution spreading in complex networks,” Physics Reports, vol. 820, pp. 1–51, 2019.
W. Wang, Y. Ma, T. Wu, Y. Dai, X. Chen, and L. A. Braunstein, “Containing misinformation spreading in temporal social networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 29, no. 12, 2019.
T. Wu, G. Ming, X. Xian, W. Wang, S. Qiao, and G. Xu, “Structural predictability optimization against inference attacks in data publishing,” IEEE Access, vol. 7, pp. 92 119–92 136, 2019.
J. Xian, D. Yang, L. Pan, W. Wang*, and Z. Wang, “Misinformation spreading on correlated multiplex networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 29, no. 11, 2019.
M. Yin, X. Chen, Q.Wang, W. Wang, and Y. Wang, “Dynamics on hybrid complex network: Botnet modeling and analysis of medical iot,” Security and Communication Networks, vol. 2019, 2019.
S. Zhang, W. Wang*, T. Wu, and T. Lin*, “Phase transition of a generalized contact process on complex networks,” Physica A: Statistical Mechanics and its Applications, vol. 534, p. 122 218, 2019.
S. Zhang, T. Wu, W. Wang*, and T. Lin*, “Irreversible contact process on complex networks with dynamical recovery probability,” Physica A: Statistical Mechanics and Its Applications, vol. 527, p. 121 336, 2019.
S.-S. Zhu, X.-Z. Zhu, J.-Q.Wang, Z.-P. Zhang, and W. Wang*, “Social contagions on multiplex networks with heterogeneous population,” Physica A: Statistical Mechanics and its Applications, vol. 516, pp. 105–113, 2019.
X. Zhu, J. Ma, X. Su, H. Tian, W. Wang, and S. Cai, “Information spreading on weighted multiplex social network,” Complexity, vol. 2019, pp. 1–15, 2019.
X. Zhu, R. Wang, Z. Wang, X. Chen*, W. Wang*, and S. Cai, “Double-edged sword eﬀect of edge overlap on asymmetrically interacting spreading dynamics,” Physica A: Statistical Mechanics and its Applications, vol. 515, pp. 617–624, 2019.
X. Zhu, Q.Yang, H. Tian, J. Ma, and W. Wang*, “Contagion of information on two-layered weighted complex network,” IEEE Access, vol. 7, pp. 155 064–155 074, 2019.
M. Cai*, W. Wang*, Y. Cui, and H. E. Stanley, “Multiplex network analysis of employee performance and employee social relationships,” Physica A: Statistical Mechanics and Its Applications, vol. 490, pp. 1–12, 2018.
L.-J. Chen, X.-L. Chen, M. Cai, and W. Wang*, “Complex contagions with social reinforcement from diﬀerent layers and neighbors,” Physica A: Statistical Mechanics and its Applications, vol. 503, pp. 516–525, 2018.
X.-L. Chen, S.-M. Cai, M. Tang*, W. Wang*, T. Zhou, and P.-M. Hui, “Controlling epidemic outbreak based on local dynamic infectiousness on complex networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 12, 2018.
X. Chen, W. Wang*, S. Cai, H. E. Stanley, and L. A. Braunstein, “Optimal resource diﬀusion for suppressing disease spreading in multiplex networks,”Journal of Statistical Mechanics: Theory and Experiment, vol. 2018, no. 5, p. 053 501, 2018.
X.-H. Chen, S.-M. Cai, W. Wang, M. Tang, and H. E. Stanley, “Predicting epidemic threshold of correlated networks: A comparison of methods,” Physica A: Statistical Mechanics and its Applications, vol. 505, pp. 500–511, 2018.
P.-B. Cui, L. Gao, and W. Wang*, “Epidemic spreading dynamics with drug resistance and heterogeneous contacts,”Journal of Theoretical Biology, vol. 441, pp. 19–27, 2018.
P.-B. Cui, W. Wang, S.-M. Cai, T. Zhou, Y.-C. Lai, et al., “Close and ordinary social contacts: How important are they in promoting large-scale contagion?” Physical Review E, vol. 98, no. 5, p. 052 311, 2018.
L. Gao, R. Li, P. Shu, W. Wang*, H. Gao*, and S. Cai, “Eﬀects of individual popularity on information spreading in complex networks,” Physica A: Statistical Mechanics and its Applications, vol. 489, pp. 32–39, 2018.
Q.-H. Liu, W. Wang, S.-M. Cai, M. Tang, and Y.-C. Lai, “Synergistic interactions promote behavior spreading and alter phase transitions on multiplex networks,” Physical Review E, vol. 97, no. 2, p. 022 311, 2018.
Q.-H. Liu, L.-F. Zhong, W. Wang*, T. Zhou, and H. Eugene Stanley, “Interactive social contagions and co-infections on complex networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 1, 2018.
L. Long, K. Zhong, and W. Wang*, “Malicious viruses spreading on complex networks with heterogeneous recovery rate,” Physica A: Statistical Mechanics and its Applications, vol. 509, pp. 746–753, 2018.
P. Shu, Q.-H. Liu, S. Wang, and W. Wang*, “Social contagions on interconnected networks of heterogeneous populations,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 11, 2018.
P. Shu, W. Wang*, H. E. Stanley, and L. A. Braunstein, “A general social contagion dynamic in interconnected lattices,” Physica A: Statistical Mechanics and its Applications, vol. 511, pp. 272–279, 2018.
Z. Su, W. Wang*, L. Li, H. E. Stanley, and L. A. Braunstein, “Optimal community structure for social contagions,” New Journal of Physics, vol. 20, no. 5, p. 053 053, 2018.
W. Wang, X.-L. Chen, and L.-F. Zhong, “Social contagions with heterogeneous credibility,” Physica A: Statistical Mechanics and Its Applications, vol. 503, pp. 604–610, 2018.
W. Wang, H. E. Stanley, and L. A. Braunstein, “Eﬀects of time-delays in the dynamics of social contagions,” New Journal of Physics, vol. 20, no. 1, p. 013 034, 2018.
W. Wang, Z.-X. Wang, and S.-M. Cai, “Critical phenomena of information spreading dynamics on networks with cliques,” Physical Review E, vol. 98, no. 5, p. 052 312, 2018.
J. Wu, M. Zheng, W. Wang, H. Yang, and C. Gu, “Double transition of information spreading in a two-layered network,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 8, 2018.
J. Wu, M. Zheng, Z.-K. Zhang, W. Wang, C. Gu, and Z. Liu, “A model of spreading of sudden events on social networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 3, 2018.
T. Wu, S. Qiao, X. Xian, X.-Z. Wang, W. Wang, and Y. Liu, “Network reconstruction and controlling based on structural regularity analysis,” arXiv preprint arXiv:1805.07746, 2018.
M. Zheng, W. Wang, M. Tang, J. Zhou, S. Boccaletti, and Z. Liu, “Multiple peaks patterns of epidemic spreading in multi-layer networks,” Chaos, Solitons & Fractals, vol. 107, pp. 135–142, 2018.
L.-F. Zhong, Q.-H. Liu, W. Wang, and S.-M. Cai, “Comprehensive inﬂuence of local and global characteristics on identifying the inﬂuential nodes,” Physica A: Statistical Mechanics and Its Applications, vol. 511, pp. 78–84, 2018.
Y.-X. Zhu, Y.-Y. Cao, T. Chen, X.-Y. Qiu, W. Wang*, and R. Hou*, “Crossover phenomena in growth pattern of social contagions with restricted contact,” Chaos, Solitons & Fractals, vol. 114, pp. 408–414, 2018.
X. Zhu, H. Tian, X. Chen*, W. Wang*, and S. Cai, “Heterogeneous behavioral adoption in multiplex networks,” New Journal of Physics, vol. 20, no. 12, p. 125 002, 2018.
X. Zhu, W. Wang*, S. Cai, and H. E. Stanley, “Dynamics of social contagions with local trend imitation,” Scientiﬁc Reports, vol. 8, no. 1, p. 7335, 2018.
X. Zhu, W. Wang*, S. Cai, and H. E. Stanley, “Optimal imitation capacity and crossover phenomenon in the dynamics of social contagions,”Journal of Statistical Mechanics: Theory and Experiment, vol. 2018, no. 6, p. 063 405, 2018.
Y. Zou, Z. Xiong, P. Zhang, and W. Wang, “Social contagions on multiplex networks with diﬀerent reliability,” Physica A: Statistical Mechanics and its Applications, vol. 506, pp. 728–735, 2018.
L. Gao, W. Wang*, P. Shu, H. Gao, and L. A. Braunstein, “Promoting information spreading by using contact memory,” Europhysics Letters, vol. 118, no. 1, p. 18 001, 2017.
M.-X. Liu, W. Wang*, Y. Liu, M. Tang*, S.-M. Cai, and H.-F. Zhang, “Social contagions on time-varying community networks,” Physical Review E, vol. 95, no. 5, p. 052 306, 2017.
Q.-H. Liu, W. Wang*, M. Tang*, T. Zhou, and Y.-C. Lai, “Explosive spreading on complex networks: The role of synergy,” Physical Review E, vol. 95, no. 4, p. 042 320, 2017.
P. Shu, L. Gao, P. Zhao, W. Wang*, and H. E. Stanley, “Social contagions on interdependent lattice networks,” Scientiﬁc reports, vol. 7, no. 1, p. 44 669, 2017.
Z. Su, W. Wang*, L. Li*, J. Xiao, and H. E. Stanley, “Emergence of hysteresis loop in social contagions on complex networks,” Scientiﬁc Reports, vol. 7, no. 1, p. 6103, 2017.
W. Wang, M. Tang, H. E. Stanley, and L. A. Braunstein, “Uniﬁcation of theoretical approaches for epidemic spreading on complex networks,” Reports on progress in physics, vol. 80, no. 3, p. 036 603, 2017.
Y.-X. Zhu, W. Wang, M. Tang, and Y.-Y. Ahn, “Social contagions on weighted networks,” Physical review E, vol. 96, no. 1, p. 012 306, 2017.
L. Gao, W. Wang, L. Pan, M. Tang, and H.-F. Zhang, “Eﬀective information spreading based on local information in correlated networks,” Scientiﬁc reports, vol. 6, no. 1, p. 38 220, 2016.
Q.-H. Liu, W. Wang, M. Tang, and H.-F. Zhang, “Impacts of complex behavioral responses on asymmetric interacting spreading dynamics in multiplex networks,” Scientiﬁc reports, vol. 6, no. 1, p. 25 617, 2016.
P. Shu, W. Wang*, M. Tang*, P. Zhao, and Y.-C. Zhang, “Recovery rate aﬀects the eﬀective epidemic threshold with synchronous updating,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 26, no. 6, 2016.
W. Wang, Q.-H. Liu, S.-M. Cai, M. Tang, L. A. Braunstein, and H. E. Stanley, “Suppressing disease spreading by using information diﬀusion on multiplex networks,” Scientiﬁc reports, vol. 6, no. 1, p. 29 259, 2016.
W. Wang, Q.-H. Liu, L.-F. Zhong, M. Tang, H. Gao, and H. E. Stanley, “Predicting the epidemic threshold of the susceptible-infected-recovered model,” Scientiﬁc reports, vol. 6, no. 1, p. 24 676, 2016.
W. Wang, M. Tang, P. Shu, and Z. Wang, “Dynamics of social contagions with heterogeneous adoption thresholds: Crossover phenomena in phase transition,” New Journal of Physics, vol. 18, no. 1, p. 013 029, 2016.
P. Shu, W. Wang, M. Tang, and Y. Do, “Numerical identiﬁcation of epidemic thresholds for susceptible-infected-recovered model on ﬁnite-size networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 25, no. 6, 2015.
W. Wang, P. Shu, Y.-X. Zhu, M. Tang, and Y.-C. Zhang, “Dynamics of social contagions with limited contact capacity,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 25, no. 10, 2015.
E. H. Xu, W. Wang, C. Xu, M. Tang, Y. Do, and P. Hui, “Suppressed epidemics in multirelational networks,” Physical Review E, vol. 92, no. 2, p. 022 812, 2015.
A.-X. Cui, W. Wang, M. Tang, Y. Fu, X. Liang, and Y. Do, “Eﬃcient allocation of heterogeneous response times in information spreading process,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 24, no. 3, 2014.
W. Wang, M. Tang, H. Yang, Y. Do, Y.-C. Lai, and G. Lee, “Asymmetrically interacting spreading dynamics on complex layered networks,” Scientiﬁc Reports, vol. 4, no. 1, p. 5097, 2014.
W. Wang, M. Tang, H.-F. Zhang, H. Gao, Y. Do, and Z.-H. Liu, “Epidemic spreading on complex networks with general degree and weight distributions,” Physical Review E, vol. 90, no. 4, p. 042 803, 2014.

CONFERENCE PROCEEDINGS

1. Q.Liu, X. Chen, and W. Wang, “Degree-correlaed vaccination in aymmetric interacting spreading dynamics,” in 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), IEEE, 2017, pp. 360–364.

2. W. Wang, L. Gao, Y.-X. Zhu, and H. Gao, “Eﬀects of mass medias on the dynamics of social contagions,” in 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), IEEE, 2016, pp. 311–315.

SKILLS

Languages Strong reading, writing and speaking competencies for English, Mandarin Chinese. Coding C, Matlab, LATEX Misc. Academic research, teaching, training, consultation, LATEX typesetting and publishing.

MISCELLANEOUS EXPERIENCE

2020 Editor Board Member

2022 – 2024 Management of Rural Healthcare in China.

2023 – 2025 Special issue editor for Frontiers in Physics, Complexity, and Security and Communication Networks.

AWARDS AND ACHIEVEMENTS

2019 Third Prize for Outstanding Achievements in Philosophy and Social Sciences of the 14th Edition in Shaanxi Province (Ranked second, Corresponding Author of the Paper), 2019 (Provincial-level Award). .

2021 Fundamentals and Applications of Social Network Theory, authored by Cai Meng, Wang Wei, Cui Ying, and Du Haifeng, received the 2021 Shaanxi Higher Education Science and Technol- ogy Award (First Prize)

2017 UESTC Outstanding Student, the highest student honor at the University of Electronic Sci- ence and Technology of China (awarded to 10 graduate students annually).

Outstanding Graduate of Sichuan Province.

Outstanding Graduate of the University of Electronic Science and Technology of China.

2016 Best Student Paper at the 12th National Conference on Complex Networks.

2013 – 2015 First-class Academic Scholarship at the University of Electronic Science and Technology of China (consecutively for three years).

2014 – 2016 National Scholarship (consecutively for three years). Miscellaneous Experience (continued) 2013 – 2015 Outstanding Graduate Student at the University of Electronic Science and Technology of China (consecutively for three years).

2016 Best Poster Presentation at the 3rd Conference on Complex Systems and Statistical Physics.

2010 First Prize in the National College Student Mathematics Competition (Non-Mathematics Ma- jor Category) in Chongqing.

SUPERISED STUDENT'S AWARD

2023 National Statistical Modeling Competition: Research on the Emotional Impact of Easing COVID-19 Policies on University Students, Authors: Huang Xuena, Kang Qin, Zhao Wenjia, Supervisor: Wang Wei, Award: Second Prize of Chongqing, Category: Undergraduate Group

National Statistical Modeling Competition: Research on the Current Status and Development Prospects of Online Group Buying, Authors: Li Meihan, Wang Zheng, Tan Mingyang, Super- visor: Wang Wei, Award: Third Prize of Chongqing, Category: Undergraduate Group

National Statistical Modeling Competition: Study on Treatment Methods for Chronic Hep- atitis B Based on Complex Networks, Authors: LiJiachen, Yin Yuheng, Zhang Yue, Supervisor: Wang Wei, Award: Second Prize, Category: Graduate Group

National Statistical Modeling Competition: Research on Vaccine Inoculation Systems Based on Complex Networks, Authors: LiJiaNing, FanJie, Tang Xian, Supervisor: Wang Wei, Award: Second Prize of Chongqing, Category: Graduate Group

2022 Asia an Paciﬁc Mathematical Contest in Modeling Certiﬁcate of Achievement, Authors: Ji- achen Li, Wenjie Li, Jianing Li, Supervisor: Wang Wei, Award: Third Prize. Postgraduate Group

Research Team

PhD student: Wenjie Li (2023), Xian Tang (from 2022), Guichuan Lai (2023), Jie Fan (from 2020), Yanyi Nie (from 2022 at Sichuan University), Wenyao Li (from 2022 at Sichuan University), Tao Luo (from 2021 at Sichuan Univer- sity), Xudong Liang (from 2021 at Sichuan University)

Sep. 2023 – Jun. 2026 Master: Junfang Chen, Lanzhi Deng, Anbin Liu, Tao Yang, Yi Liu, Jing Qin

Sep. 2022 – Jun. 2025 Master: Wenbin Gu, Yuheng Yin, Yuwen Wang, Jiachen Li, Jianing Li

Sep. 2021 – Jun. 2024 Master: Wenjie Li, Yue Zhang