Tianpeng Li 李天鹏

Li Tianpeng received his B.S. degree and M.S degree from school of software engineering, Tianjin university in 2017 and 2020. He is now a Ph.D. student in the School of College of Intelligence and Computing, Tianjin University.

Education

2020 and beyond:

• Li, T., Wang, W., Wu, X., Wu, H., Jiao, P., & Yu, Y. (2020). Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. Future Generation Computer Systems, 107, 458–468.
• Tian, Q., Pan, L., Zhang, W., Li, T., Wu, H., Jiao, P. and Wang, W., 2021. Lower order information preserved network embedding based on non-negative matrix decomposition. Information Sciences, 572, pp.43-56.
• Jiao, P., Li, T., Xie, Y., Wang, Y., Wang, W., He, D. and Wu, H., 2021. Generative evolutionary anomaly detection in dynamic networks. IEEE Transactions on Knowledge and Data Engineering, 35(12), pp.12234-12248.
• Jiao, P., Li, T., Wu, H., Wang, C.D., He, D. and Wang, W., 2022. HB-DSBM: modeling the dynamic complex networks from community level to node level. IEEE Transactions on Neural Networks and Learning Systems.
• Li, T., Wang, W., Jiao, P., Wang, Y., Ding, R., Wu, H., Pan, L. and Jin, D., 2022. Exploring temporal community structure via network embedding. IEEE Transactions on Cybernetics.
• Xie, Y., Wang, W., Shao, M., Li, T. and Yu, Y., 2023. Multi-view change point detection in dynamic networks. Information Sciences, 629, pp.344-357.
• Zhang, X., Jiao, P., Gao, M., Li, T., Wu, Y., Wu, H. and Zhao, Z., 2024. VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks. IEEE Transactions on Information Forensics and Security.
• Jiao, P., Zhang, X., Liu, Z., Zhang, L., Wu, H., Gao, M., Li, T. and Wu, J., 2024. A deep contrastive framework for unsupervised temporal link prediction in dynamic networks. Information Sciences, 667, p.120499.

2019:

• Wu, X., Jiao, P., Wang, Y., Li, T., Wang, W., & Wang, B. (2019). Dynamic stochastic block model with scale-free characteristic for temporal complex networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).