YANG LOU

Last Updated :2026/08/06

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
https://scholar.google.com/citations?user=MhN74UwAAAAJ
https://home.hiroshima-u.ac.jp/ylou/
E-mail
ylouhiroshima-u.ac.jp
Self-introduction
Dr. Yang Lou received his Ph.D. degree from the Department of Electrical Engineering, City University of Hong Kong. He is currently an Associate Professor at the Graduate School of Advanced Science and Engineering, Hiroshima University, Japan. Previously, he held research and academic positions at City University of Hong Kong, Lingnan University, the University of Osaka, and National Yang Ming Chiao Tung University. His research interests include network science, graph learning, and optimization. He has published over 50 research papers in prestigious journals, including leading IEEE magazines and transactions such as CIM, CASM, TCYB, and TNNLS, as well as in top international conferences including ICLR, GECCO, and IJCNN. Dr. Lou is a Senior Member of the IEEE and a Fellow of the Higher Education Academy (FHEA).

Basic Information

Major Professional Backgrounds

  • 2022/11, 2023/07, Osaka University, Researcher (Specially Appointed)
  • 2023/08, 2025/01, Natioal Yang Ming Chiao Tung University, Assistant Professor
  • 2025/02, 2025/07, National Yang Ming Chiao Tung University, Associate Professor
  • 2025/08/01, Hiroshima University, Graduate School of Advanced Science and Engineering, Associate Professor

Academic Degrees

  • Ningbo University
  • City University of Hong Kong

Educational Activity

Course in Charge

  1. 2026, Liberal Arts Education Program1, 3Term, The world of mathematics
  2. 2026, Liberal Arts Education Program1, 1Term, Introductory Seminar for First-Year Students
  3. 2026, Undergraduate Education, 2Term, Statistical Test
  4. 2026, Undergraduate Education, 2Term, Practical English II
  5. 2026, Undergraduate Education, 2Term, Nonparametric analysis
  6. 2026, Undergraduate Education, 1Term, Data Science Seminar I
  7. 2026, Undergraduate Education, 2Term, Data Science Seminar II
  8. 2026, Undergraduate Education, Second Semester, Graduation Thesis
  9. 2026, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science A
  10. 2026, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science A
  11. 2026, Graduate Education (Master's Program) , Year, Special Study on Informatics and Data Science
  12. 2026, Graduate Education (Master's Program) , 3Term, Network Science and Graph Learning
  13. 2026, Graduate Education (Doctoral Program) , Year, Special Study on Informatics and Data Science
  14. 2026, Graduate Education (Doctoral Program) , Year, Special Study on Informatics and Data Science

Research Activities

Academic Papers

  1. ★, Exploring the Potential for Enhancing Structural Robustness of Complex Networks, IEEE Computational Intelligence Magazine, 20(4), 83-98, 202511
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  2. ★, A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network, IEEE Transactions on Cybernetics, 54(11), 6630-6642, 202411
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  3. ★, A Learning Convolutional Neural Network Approach for Network Robustness Prediction, IEEE Transactions on Cybernetics, 53(7), 4531-4544, 202307
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  4. ★, Structural Robustness of Complex Networks: A Survey of A Posteriori Measures, IEEE Circuits and Systems Magazine, 23(1), 12-35, 202301
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  5. ★, Predicting Network Controllability Robustness: A Convolutional Neural Network Approach, IEEE Transactions on Cybernetics, 52(5), 4052-4063, 202205
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  6. Introduction to Focus Issue: Intelligent Game on Networked Systems: Optimization, Evolution and Control, Chaos: An Interdisciplinary Journal of Nonlinear Science, 36, 20260113
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  7. D2R: A distance metric for exploring network structural robustness enhancement potential, Reliability Engineering & System Safety, 270, 202606
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  8. Toward Robust Network Controllability: Insights and Future Directions, Europhysics Letters, 149(4), 20250217
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  9. Network Robustness Prediction: Influence of Training Data Distributions, IEEE Transactions on Neural Networks and Learning Systems, 35(10), 13496-13507, 202410
  10. SPP-CNN: An Efficient Framework for Network Robustness Prediction, IEEE Transactions on Circuits and Systems I: Regular Papers, 70(10), 4067-4079, 202310
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  11. Knowledge-Based Prediction of Network Controllability Robustness, IEEE Transactions on Neural Networks and Learning Systems, 33(10), 5739-5750, 202210
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  12. Searching Better Rewiring Strategies and Objective Functions for Stronger Controllability Robustness, IEEE Transactions on Circuits and Systems II: Express Briefs, 68(6), 2112-2116, 202106
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  13. A Convolutional Neural Network Approach to Predicting Network Connectedness Robustness, IEEE Transactions on Network Science and Engineering, 8(4), 3209-3219, 202110
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  14. Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition, IEEE Transactions on Circuits and Systems I: Regular Papers, 67(9), 3163-3174, 202009
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  15. A Comparative Study on Controllability Robustness of Complex Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 66(5), 828-832, 201905
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  16. Toward Stronger Robustness of Network Controllability: A Snapback Network Model, IEEE Transactions on Circuits and Systems I: Regular Papers, 65(9), 2983-2991, 201809
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Publications such as books

  1. 2027/01, Artificial Intelligence and Quantum Dynamics for Memristor-System Computing, World Scientific Publishing Co Pte Ltd, 2027, 01, Scholarly Book, Cocompilation, English
  2. 2026/06, Network Controllability Robustness: Analysis, Evaluation and Optimization, World Scientific Publishing Co Pte Ltd, 2026, 06, Scholarly Book, Joint work, English, 978-981-98-3358-0, 236, 236

Invited Lecture, Oral Presentation, Poster Presentation

  1. Static vs Trainable Routers in Mixture-of-Experts for GNN-Based Key Node Identification under Distributional Shifts, International Conference on Neural Computing for Advanced Applications, 2026/07, Without Invitation, English, Osaka, Japan

External Funds

Acceptance Results of Competitive Funds

  1. Grant-in-Aid for Scientific Research (C), Multi-Task Critical Node Identification via Unsupervised Learning on Complex Networks, 2026/04/01, 2029/03/31
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Social Activities

History as Committee Members

  1. Editorial Board of Journal of Applied Mathematics
  2. Editorial Board of PLoS Complex Systems
  3. Editorial Board of PLoS One

Organizing Academic Conferences, etc.

  1. International Joint Conference on Neural Networks (IJCNN), Area Chair, 2027/06, 2027/06
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  2. International ACM Conference on Knowledge and Information Management (CIKM), Program Committee (PC) member, 2026/11, 2026/11
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  3. International Conference on Neural Computing for Advanced Applications (NCAA), Publicity Chair, 2026/07, 2026/07
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  4. IEEE World Congress on Computational Intelligence (WCCI), Area Chair, 2026/06, 2026/06
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  5. International ACM Conference on Knowledge and Information Management (CIKM), Program Committee (PC) member, 2025/11, 2025/11
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  6. International Joint Conference on Neural Networks (IJCNN), Area Chair, 2025/07, 2025/07
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