Dr. Weiwei Gu

Lecture, MSc Supervisor

Editor:College of Information Science and Technology Time:2023-05-23

Dr. Weiwei Gu


Lecture, MSc Supervisor,

Email: weiweigu@ mail.buct.edu.cn


Background                                                                  

Dr. Weiwei Gu majored in Computer Science and Technology and received doctor's degree in June 2020 from Beijing Normal University. She was a visiting scholar in Indiana University Information Science Department from September 2018 to January 2020.

Areas of Research of Expertise

  • Network Robustness Analysis

  • Network Representation Learning

  • Link Prediction and Node classification

Memberships

  • Member of CAAI Social Computing and Social Intelligence Professional Committee

  • Member of Committee on Computational Society and Social Intelligence

Teaching                                          

Undergraduate Teaching

  • Fundamentals of College Computer

  • Compulsory Practice (Big Data Visualization Technology)

  • Python Programming

Research                                          

Funded Research Projects

The National Natural Science Foundation of China:

  • Identifying Early Signs of failure in venture capital institutions -- a Dynamic study based on learning mechanisms

Others:

  • An analysis of venture capital behavior in China based on evolutionary dynamics

  • Identification and interpretability of key nodes in complex networks based on reinforcement representation Learning

Main Achievements & Awards

  • Weiwei Gu has won the Young Scholars Forum Rising Star Award of China National Conference on Big Data&Social Computing

Publications                                       

1. Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn and Filippo Radicchi. "Principled approach to the selection of the embedding dimension of networks". Nature Communications 12(2021): 1-10 (SCI)

2. Weiwei Gu, Jifan Liu and Jar-der Luo. "Exploring small-world network with an elite-clique: Bringing embeddedness theory into the dynamic evolution of a venture capital network." Social Networks 57 (2019): 70-81. (SSCI)

3.Weiwei Gu, Ao Yang, Lingyun Lu, Ruiqi Li, " Unveiling latent structure of venture capital syndication networks." Entropy, (2022) (SCI)

4. Weiwei Gu, Fei Gao, Xiaodan Lou and Jiang Zhang, “Discovering latent node Information by graph attention network.” Scientific Reports 11, 6967 (2021) (SCI)

5. Weiwei Gu, Fei Gao, Ruiqi Li and Jiang Zhang, "Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network." Journal of Social Computing, 2.1(2021): 43-51. (EI)

6.Weiwei Gu, Li Gong, Xiaodan Lou and Jiang Zhang. "The hidden flow structure and metric space of network embedding algorithms based on random walks." Scientific Reports 7.1 (2017): 1-12. (SCI)

7. Ruiqi Li, Lingyun Lu, Tianyu Cui, Weiwei Gu*, Shaodong Ma, Gang Xu and H. Eugene Stanley, “ Assessing the attraction of cities on venture capital from a scaling law perspective.”IEEE Access, 9(2021): 48052-48063 (SCI&EI)

8. Li, Benji, Weiwei Gu, Yahan Lu and Qinghua Chen. "Exploring Scientists’ Research Behaviors Based on LDA." Intelligent Computing-Proceedings of the Computing (2019) 178-189. Springer, Cham. (EI)

9. Xin Gao, Jar-Der Luo, Kunhao Yang, Xiaoming Fu and Weiwei Gu, "Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks." in Journal of Social Computing, 1.1 (2020) 40-52. (EI)

10. Lou, Xiaodan, Yong Li, Weiwei Gu and Jiang Zhang. "The atlas of Chinese world wide web ecosystem shaped by the collective attention flows." Plos one 11.11 (2016). (SCI)