YANG LOU

Last Updated :2026/05/17

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, Network Science and Graph Learning
  10. 2026, Graduate Education (Doctoral Program) , Year, Special Study on Informatics and Data Science

Research Activities

Academic Papers

  1. Toward Robust Network Controllability: Insights and Future Directions, Europhysics Letters, 149(4), 202502
    Link to Paper Search Results by DOI
  2. Introduction to Focus Issue: Intelligent Game on Networked Systems: Optimization, Evolution and Control, Chaos: An Interdisciplinary Journal of Nonlinear Science, 36, 202601
    Link to Paper Search Results by DOI
  3. D2R: A distance metric for exploring network structural robustness enhancement potential, Reliability Engineering & System Safety, 270, 202606
    Link to Paper Search Results by DOI
  4. ★, Exploring the Potential for Enhancing Structural Robustness of Complex Networks, IEEE Computational Intelligence Magazine, 20(4), 83-98, 202511
    Link to Paper Search Results by DOI
  5. ★, A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network, IEEE Transactions on Cybernetics, 54(11), 6630-6642, 202411
  6. ★, Network Robustness Prediction: Influence of Training Data Distributions, IEEE Transactions on Neural Networks and Learning Systems, 35(10), 13496-13507, 202410
  7. ★, A Learning Convolutional Neural Network Approach for Network Robustness Prediction, IEEE Transactions on Cybernetics, 53(7), 4531-4544, 202307
  8. ★, Structural Robustness of Complex Networks: A Survey of A Posteriori Measures, IEEE Circuits and Systems Magazine, 23(1), 12-35, 202301
  9. ★, Knowledge-Based Prediction of Network Controllability Robustness, IEEE Transactions on Neural Networks and Learning Systems, 33(10), 5739-5750, 202210
  10. ★, Predicting Network Controllability Robustness: A Convolutional Neural Network Approach, IEEE Transactions on Cybernetics, 52(5), 4052-4063, 202205
  11. Toward Stronger Robustness of Network Controllability: A Snapback Network Model, IEEE Transactions on Circuits and Systems I: Regular Papers, 65(9), 2983-2991, 201809
  12. A Comparative Study on Controllability Robustness of Complex Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 66(5), 828-832, 201905
  13. Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition, IEEE Transactions on Circuits and Systems I: Regular Papers, 67(9), 3163-3174, 202009
  14. 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
  15. A Convolutional Neural Network Approach to Predicting Network Connectedness Robustness, IEEE Transactions on Network Science and Engineering, 8(4), 3209-3219, 202110
  16. SPP-CNN: An Efficient Framework for Network Robustness Prediction, IEEE Transactions on Circuits and Systems I: Regular Papers, 70(10), 4067-4079, 202310

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, 2025
  2. Editorial Board of PLoS Complex Systems, 2023
  3. Editorial Board of PLoS One, 2024

Organizing Academic Conferences, etc.

  1. 35th International ACM Conference on Knowledge and Information Management (CIKM 2026), Program Committee (PC) member, 2026/11, 2026/11
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  2. 2025 International Joint Conference on Neural Networks (IJCNN), Area Chair, 2025/07, 2025/07
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  3. 2026 International Conference on Neural Computing for Advanced Applications (NCAA), Publicity Chair, 2026/07, 2026/07
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