About Me

Hi, My research interests include machine learning and graph representation learning. Recently, my work has primarily focused on unsupervised graph representation learning, including topics such as graph pre-training and graph contrastive learning. Previously, I explored deep learning methods for efficient and accurate robustness estimation in complex networks.

In addition, I am also interested in graph foundation models, generative modeling, and large language models.

News

Selected Publications

[1] Chengpei Wu, Yang Lou, Junli Li, Lin Wang, Shengli Xie, and Guanrong Chen, “A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network.” IEEE Transactions on Cybernetics (TCYB).

[2] Chengpei Wu, Yang Lou, and Junli Li “Pyramid Pooling-Based Local Profiles for Graph Classification” IEEE International Conference on Systems, Man, and Cybernetics (SMC) October 1-4, 2023, Maui, Hawaii, USA.

[3] Chengpei Wu, Yang Lou, Lin Wang, Junli Li, and Guanrong Chen, “SPP-CNN: An Efficient Framework for Network Robustness Prediction,” IEEE Transactions on Circuits and Systems I: Regular, doi:10.1109/TCSI.2023.3296602.

[4] Yang Lou, Chengpei Wu, Junli Li, Lin Wang, and Guanrong Chen, “Network Robustness Prediction: Influence of Training Data Distributions,” IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2023.3269753.

Honors and Awards

  • Outstanding Graduate, Chengdu University (2021).
  • Academic Scholarship, Sichuan Normal University (2022).
  • National Scholarship, Sichuan Normal University (2023).
  • Merit Student, Sichuan Normal University (2023).
  • Outstanding Graduate from Sichuan Normal University and Sichuan Province (2024).

Educations

  • 2017.09 - 2021.06, Undergraduate, Chengdu University, Chengdu.
  • 2021.09 - 2024.06, Master, Sichuan Normal University, Chengdu.

I am looking into: