Journal Papers:


2024:

  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).

2023:

  1. 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. [pdf, source code]
  2. 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. [pdf]
  3. Chengpei Wu, Siyi Xu, Zhuoran Yu, and Junli Li, “Influence of Removing Leaf Node Neighbors on Network Controllability,” Entropy, doi:10.3390/e25060945. [pdf]

Conference Papers:


2024

  1. Yang Lou, Chengpei Wu, and Bo-Yu Chen, “Exploring Graph Representations in Machine Learning for Network Robustness Evaluation,” \textit{In Proceedings of International Joint Conference on Neural Networks (IJCNN)}, June 30-July 05, 2024, Yokohama, Japan.

2023

  1. 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.[source code]
  2. Chengpei Wu, Siyi Xu, and Junli Li “Predicting Robustness Performance with Noises in Network Representation,” IEEE International Conference on Systems, Man, and Cybernetics (SMC) October 1-4, 2023, Maui, Hawaii, USA.
  3. Chengpei Wu, Siyi Xu, and Junli Li “A Nested Edge Addition Strategy for Network Controllability Robustness Enhancement,” IEEE International Conference on Systems, Man, and Cybernetics (SMC) October1-4, 2023, Maui, Hawaii, USA.

2022

  1. Chengpei Wu, Yang Lou, Ruizi Wu, Wenwen Liu, and Junli Li “CNN-based Prediction of Network Robustness With Missing Edges,” In Proceedings of International Joint Conference on Neural Networks (IJCNN) Padua, Italy. [pdf]