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 contrastive learning. Previously, I explored deep learning methods for efficient and accurate robustness estimation in complex networks.

In addition, I am also interested in robust machine learning, generative modeling, and large language models.

News

• [08/2025] one paper (co-authored) accepted by IEEE Computational Intelligence Magazine.
• [04/2025] one paper (co-authored) accepted by CVPR 2025.
• [06/2024] one paper accepted by IEEE Transactions on Cybernetics.
• [10/2023] I have been awarded the National Scholarship for Graduate Students by the Chinese Ministry of Education.
• [07/2023] one paper accepted by IEEE Transactions on Circuits and Systems I: Regular Papers.
• [06/2023] one paper accepted by IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023.

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.

Academic Services

• Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cybernetics (TCYB), Reliability Engineering and System Safety, WWW, etc.

I am looking into:

• Analysis and Statistics: Analysis I, All of Statistics.
• Generative Modeling: Flow Matching Guide and Code, An Introduction to Flow Matching and Diffusion Models.
• Computational Learning Theory: Computational Learning Theory - University of Oxford.
• Robustness Machine Learning: Robustness in Machine Learning.