Recent News

Research Themes

• Network robustness evaluation and analysis using both traditional and computational intelligence approaches in an attack-and-defense context

• Graph-level learning and graph classification

• Topology refinement for complex networks towards specific objective optimization, e.g., robustness enhancement

• Evolutionaty optimization algorithm for network optimization and beyond

Current Research Projects:

1. • Analyzing and Optimizing the Robustness of Complex Networks Using Deep Neural Networks
     (運用深度神經網路分析與最佳化複雜網路之韌性)

Members

Principal Investigator: Dr. Yang Lou (Assistant Professor, H&J Youth Chair Professor) 

Master Students: (Cohort 112)

• 陳柏諭、姜冠霖、黃子豪、黃君瑋

Master Students: (Cohort 113)

• 紀品榕、黃念暉、賴壬威

Publications

(Selected Journal Papers)

1. 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 (2023, Online published) [Link]

2. Yang Lou, Lin Wang, and Guanrong Chen, "Structural Robustness of Complex Networks: A Survey of A Posteriori Measures," IEEE Circuits and Systems Magazine, vol. 23, no. 1, pp. 12-35; doi:10.1109/MCAS.2023.3236659 (2023) [Link] [arXiv]

3. Chengpei Wu, Yang Lou+, Lin Wang, Junli Li, Xiang Li, and Guanrong Chen, "SPP-CNN: An Efficient Framework for Network Robustness Prediction," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 70, no. 10, pp. 4067-4079; doi:10.1109/TCSI.2023.3296602 (2023) [Link] 

(Selected Conference Papers)

1. Yang Lou+, Chengpei Wu, and Bo-Yu Chen, “Exploring Graph Representations in Machine Learning for Network Robustness Evaluation,” Accepted by the International Joint Conference on Neural Networks Yokohama, Japan, (WCCI-IJCNN 2024)

2. Yang Lou, Hideyuki Shimonishi, Masayuki Murata and Nattaon Techasarntikul, "Energy Optimization of Distributed Video Processing System in Dynamic Environment," IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 6-9, 2024, pp.602-603; doi:10.1109/CCNC51664.2024.10454812 (2024) [Link] 

3. Chengpei Wu, Yang Lou+, and Junli Li, "Pyramid Pooling-Based Local Profiles for Graph Classification", IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA,  October 1-4, 2023, pp.4953-4960; doi:10.1109/SMC53992.2023.10393876 (2023) [Link]