Welcome to Felix's Homepage
Felix, Yang Lou   Ph.D., SMIEEE, FHEA   柴原 (しばはら) フィリックス
Assistant ProfessorH&J Youth Chair Professor (華仁青年講座教授)
Department of Computer Science
National Yang Ming Chiao Tung University (國立陽明交通大學, NYCU)
Hsinchu, Taiwan
[Profile] I am an Assistant Professor (H&J Youth Chair Professor) at the Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan. Meanwhile, I am the Principal Investigator of the Network Science and Graph Learning Lab and a Member of the Communication Service/Software Lab. I received the Ph.D. degree from the Department of Electrical Engineering, City University of Hong Kong, Hong Kong, in 2017. From 2017 to 2023, I held different 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!] We are recruiting self-motivated Ph.D. and M.Sc. students,
who are interested in conducting research utilizing
machine learning, evolutionary computing, and other computational methods to solve meaningful problems in communication network systems.
- Network Science and Graph Learning Lab
- 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 [CFP]
Discover Applied Sciences
- 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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