Welcome to Felix's Homepage
Felix, Yang Lou Ph.D., SMIEEE, FHEA 柴原 (しばはら) フィリックス
Associate ProfessorH&J Youth Chair Professor
Department of Computer Science
National Yang Ming Chiao Tung University
[Profile] I am an Associate Professor (H&J Youth Chair Professor) in the Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan, where I previously served as an Assistant Professor from August 2023 to January 2025. I serve as the Principal Investigator of the Network Science and Graph Learning Lab and as a Member of the Communication Service/Software Lab.
I received my B.E. degree in Electronic and Information Engineering from Xidian University, China, in 2008, and my Ph.D. degree from the Department of Electrical Engineering, City University of Hong Kong, Hong Kong, in 2017. From 2017 to 2023, I held research and academic positions at City University of Hong Kong, Hong Kong; Lingnan University, Hong Kong; and Osaka University, Osaka, Japan.
My current research interests include Network Science & Engineering, Machine & Graph Learning, and Optimization.
[Join Us!] I am recruiting self-motivated Ph.D. and M.Sc. students interested in conducting RESEARCH to solve meaningful problems in communication network systems,
such as using
machine learning, evolutionary computing, and other computational methods
to optimize Unmanned Aerial Vehicle (UAV) deployment.
- Network Science and Graph Learning Lab
- Network Science and Graph Learning Lab @ Sichuan Normal University
- Communication Service/Software Lab
- More Information for International Students
- Please don't hesitate to email me via ylou[at]nycu.edu.tw
[Selected Publications]
-
C. Wu,
Y. Lou*,
J. Li, L. Wang, S. Xie,
and G. Chen,
"A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network,"
IEEE Transactions on Cybernetics,
vol. 54, no. 11, pp. 6630–6642; doi:10.1109/TCYB.2024.3422430 (2024)
[Impact Factor = 9.4]
[Open Access]
- Y. Lou*, C. Wu, J. Li, L. Wang, and G. Chen, "Network Robustness Prediction: Influence of Training Data Distributions,"
IEEE Transactions on Neural Networks and Learning Systems,
vol. 35, no. 10, pp. 13496–13507; doi:10.1109/TNNLS.2023.3269753 (2024)
[Impact Factor = 10.2]
- Y. Lou*, R. Wu, J. Li, L. Wang, X. Li, and G. Chen, "A Learning Convolutional Neural Network Approach for Network Robustness Prediction,"
IEEE Transactions on Cybernetics,
vol. 53, no. 7, pp. 4531–4544; doi:10.1109/TCYB.2022.3207878 (2023)
[Impact Factor = 9.4]
- Y. Lou*, L. Wang, and G. 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)
[Impact Factor = 5.6]
- Y. Lou, Y. He, L. Wang, and G. Chen, "Predicting Network Controllability Robustness: A Convolutional Neural Network Approach,"
IEEE Transactions on Cybernetics,
vol. 52, no. 5, pp. 4052–4063; doi:10.1109/TCYB.2020.3013251 (2022)
[Impact Factor = 9.4]- Y. Lou, Y. He, L. Wang, K.F. Tsang, and G. Chen, "Knowledge-Based Prediction of Network Controllability Robustness,"
IEEE Transactions on Neural Networks and Learning Systems,
vol. 33, no. 10, pp. 5739–5750; doi:10.1109/TNNLS.2021.3071367 (2022)
[Impact Factor = 10.2]
- Y. Lou*, S.Y. Yuen, and G. Chen, "Non-revisiting Stochastic Search Revisited: Results, Perspectives, and Future Directions,"
Swarm and Evolutionary Computation,
vol. 61, 100828; doi:10.1016/j.swevo.2020.100828 (2021)
[Impact Factor = 8.2]
- Y. Lou*, C. Wu, J. Li, L. Wang, and G. Chen, "Network Robustness Prediction: Influence of Training Data Distributions,"
[Academic Services]
-
Academic Editor:
PLoS One [Info]
PLoS Complex Systems [Info]
- Guest Editor:
Chaos: An Interdisciplinary Journal of Nonlinear Science [Link]
Mathematics [Link]
Discover Applied Sciences [Link]
Axioms [Link]
Algorithms [Link] - Guest Editor:
Contact
- Email: ylou[at]nycu.edu.tw
- Tel: +886-03-5712121#56613
- Lab: ES720/ES721, Microelectronics and Information Systems Research Center
- Office: EC332A, Engineering Building 3
- No. 1001 University Road, East District, Hsinchu 300, Taiwan
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