刘强 (Google Scholar|ResearchGate) Email: Q.L.Liu(a)hotmail.com Addr: Shenzhen, China

Education:

• 2015-2019, Ph.D., Delft University of Technology, supervised by Prof. Piet Van Mieghem.
• 2012-2015, M.Sc. (Cryptography), University of Electronic Science and Technology of China.
• 2008-2012, B.E. (Communication Engineering), University of Electronic Science and Technology of China.

Dissertation:

Spreading on Networks

Employment:

• 2020-present, Senior Researcher at Tencent (Interactive Entertainment Group, IEG).

Publications:

• L. Yao, J. Peng, S. Ji, Q. Liu, H. Cai, F. He and X. Cheng, "Friend Ranking in Online Games via Pre-training Edge Transformers", arXiv:2302.10043, accepted by SIGIR’23.
• Q. Liu, 2022, "Distributed Node Covering Optimization for Large Scale Networks and Its Application on Social Advertising", arXiv:2211.08738.
• L.Ma, Q. Liu and P. Van Mieghem, 2019, "Inferring network properties based on the epidemic prevalence", Applied Network Science, 4:93, 2019.
• Q. Liu, X. Zhou and P. Van Mieghem, "Pulse strategy for suppressing spreading on networks," EPL (Europhysics Letters) 127, 38001, Sep. 2019.
• P. Van Mieghem and Q. Liu, "Explicit non-Markovian susceptible-infected-susceptible mean-field epidemic threshold for Weibull and Gamma infections but Poisson curings", Physical Review E 100, 022317, Aug. 2019.
• Y. Xu, Y. Si, J. Takekawa, Q. Liu, H. H. T. Prins, S. Yin, D. Prosser, P. Gong and W. F. de Boer, "A network approach to prioritize conservation efforts for migratory birds", Conservation Biology, 2019, online.
• Q. Liu and P. Van Mieghem, "Network localization is unalterable by infections in bursts," IEEE Transactions on Network Science and Engineering, vol. 6, no. 4, Oct.-Dec. 2019. [Appendix]
• Q. Liu and P. Van Mieghem, "Autocorrelation of the susceptible-infected-susceptible process on networks," Phys. Rev. E 97, 062309, June 2018. 
• Q. Liu and P. Van Mieghem, "Burst of virus infection and a possibly largest epidemic threshold of non-Markovian susceptible-infected-susceptible processes on networks," Phys. Rev. E 97, 022309, Feb. 2018. [video]
• Q. Liu and P. Van Mieghem, "Evaluation of an analytic, approximate formula for the time-varying SIS prevalence in different networks," Physica A, vol.471, pp. 325-336, Apr. 2017.
• Liu, Q. and P. Van Mieghem, "Die-out Probability in SIS Epidemic Processes on Networks", Fifth International Workshop on Complex Networks and their Applications, Milan, Italy, Nov 30 - Dec 2, 2016.
• Guo, J.; Shi, Z.; Liu, Z.; Zhang, Z.; Liu, Q., "Multi-CRC Polar Codes and Their Applications," IEEE Communications Letters, vol.20, no.2, pp.212-215, Feb. 2016.

Technical Reports:

• Q. Liu, 2024, "Does GPT-4 Play Dice?", ChinaXiv:202402.00204.
• L. Yao, J. Peng, Q. Liu, H. Cai, S. Ji, F. He, X. Cheng, 2022, "Technical Report for OGB Link Property Prediction: ogbl-wikikg2".
• L. Yao, Q. Liu, H. Cai, S. Ji, F. He, X. Cheng, 2022, "Technical Report for OGB Link Property Prediction".
• P. Van Mieghem, M. A. Achterberg, Q. Liu, 2020, "Power-law decay in epidemics is likely due to interactions with the time-variant contact graph", Delft University of Technology, report20201201.

Talks:

• Shenzhen University, "Does AI Play Dice?", Shenzhen, China, Nov. 29, 2024.[slide]
• Shaanxi Normal University, "Spreading on Networks", Xi'an, China, Jan. 3, 2020.
• Amsterdam UMC, "Spreading on Networks", Amsterdam, Sep. 23, 2019. [slide]
• Lake Como School of Advanced Studies: Complex Networks: Theory, Methods, and applications, "Network localization is unalterable by infections in bursts", Como, Italy, May 13-17, 2019. [slide]
• Pengcheng laboratory, "The story of networks" (Poster), Shenzhen, China, Mar. 31, 2019.
• Amsterdam UMC, "Recently developed methods for networked data", Amsterdam, Nov. 26, 2018.
• NetSciX18, Hangzhou, China, Jan 5-8, 2018. [slide]
• 6th International Conference on Complex Networks and their Applications, Lyon, France, Nov 29 - Dec 1, 2017. [slide][video]
• 5th International Workshop on Complex Networks and their Applications, Milan, Italy, Nov 30 - Dec 2, 2016.
• "On the Accuracy of Time-dependent NIMFA Prevalence of SIS Epidemic Process", Conference on Complex Systems 2016, Amsterdam, the Netherlands, Sep. 19-22, 2016.

Referee for:

• IEEE Transactions on Computational Social Systems; Physica A; Scientific Report; IEEE Control Systems Letters; IEEE Transactions on Network Science and Engineering; Computer Physics Communications; IEEE Transactions on Evolutionary Computation; Journal of Complex Networks; IEEE/ACM Transactions on Computational Biology and Bioinformatics. 
• USRR 16; American Control Conference 2019; The Web Conference 2021.

Master thesis supervision:

• Non-Markovian epidemic process on networks, Xiaoyu Zhou (defended at Dec. 2019)
• Modeling Influenza on networks, Aziz Hamad (Joint supervision with Long Ma, defended at 2018.12.20)
• Network cut and epidemics, Yingli Ni (defended at 2017.08.29)

Interesting nodes in WWW:

• Representation Learning on Networks
• Complexity Explorables
• John Snow - a historical giant in epidemiology
• The Feynman Lectures on Physics
• Open Problem Garden
• The Koblenz Network Collection
• Stanford Network Analysis Project
• Erdős WebGraph
• ATLAS of Finite Group Representations
• The On-Line Encyclopedia of Integer Sequences
• CRITICAL EVENTS in COMPLEX NETWORKS
• Mark Newman's network data
• IDEA - An ongoing series of nonverbal algorithm assembly instructions
• WonderNet - (Virtual) Physicality of Networks