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
- [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.
I am looking into:
- Real Analysis: Analysis I.
- Flow Matching: Flow Matching Guide and Code, An Introduction to Flow Matching and Diffusion Models.
- Computational Learning Theory: Computational Learning Theory - University of Oxford.