Felix, Yang Lou
Ph.D., Postdoctoral Research Fellow
Ph.D., Postdoctoral Research Fellow
Department of Electrical Engineering
City University of Hong Kong

Email: felix.lou@my.cityu.edu.hk
Phone: 852-344-222-87
Office: Rm R6000, 6/F, Yeung Kin Man Academic Building,
City University of Hong Kong, 83 Tat Chee Avenue,
Kowloon, Hong Kong


Dr. Felix Yang Lou received the Ph.D. degree from Department of Electrical Engineering, City University of Hong Kong in 2017, where he has been a Postdoctoral Fellow since then. His current research interests include complex networks and evolutionary computation.

| Publication List | Source Code | ORCID | CityU Scholars | Google Scholar | Research Gate | Scopus |


Publications

Selected Journal Papers:

Complex Networks:

1. Yang Lou, Lin Wang, Kim Fung Tsang, and Guanrong Chen, "Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition", arXiv:1912.12416, (2019) [Link]

2. Yang Lou, Yaodong He, Lin Wang, and Guanrong Chen, "Predicting Network Controllability Robustness: A Convolutional Neural Network Approach", arXiv:1908.09471, (2019) [Link]

3. Yang Lou, Lin Wang, and Guanrong Chen, "Enhancing Controllability Robustness of q-Snapback Networks Through Re-directing Edges", Research, 2019: 7857534; doi:10.34133/2019/7857534 (2019) [Link/Pdf] [SI]

4. Yang Lou, Lin Wang, and Guanrong Chen, "Local Diversity-Stability of the q-Snapback Network Model", Physica A: Statistical Mechanics and its Applications, 536: 121020; doi:10.1016/j.physa.2019.04.256 (2019) [Link]

5. Guanrong Chen, Yang Lou, and Lin Wang, "A Comparative Study on Controllability Robustness of Complex Networks", IEEE Transactions on Circuits and Systems II: Express Briefs, 66(5): 828–832; doi:10.1109/TCSII.2019.2908435 (2019) [Link] [Matlab Code]

6. Yang Lou, Lin Wang, and Guanrong Chen, "Toward Stronger Robustness of Network Controllability: A Snapback Network Model", IEEE Transactions on Circuits and Systems I: Regular Papers, 65(9): 2983–2991; doi:10.1109/TCSI.2018.2821124 (2018) [Link/Pdf] [Matlab Code]

7. Yang Lou and Guanrong Chen, "Analysis of the "Naming Game" with Learning Errors in Communications", Scientific Reports, 5, 12191; doi:10.1038/srep12191 (2015) [Link/Pdf] [Matlab Code] [SI]

Evolutionary Computation:

1. Yang Lou and Shiu Yin Yuen, "On Constructing Alternative Benchmark Suite for Evolutionary Algorithms", Swarm and Evolutionary Computation, 44: 287–292; doi:10.1016/j.swevo.2018.04.005 (2019) [Link] [Matlab Code]

2. Yang Lou and Shiu Yin Yuen, "Non-revisiting Genetic Algorithm with Adaptive Mutation Using Constant Memory", Memetic Computing, 8(3): 189–210; doi:10.1007/s12293-015-0178-6 (2016) [Link/Pdf] [Matlab Code]

Selected Conference Papers:

1. Yang Lou, Shiu Yin Yuen, Guanrong Chen, and Xin Zhang, "On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy", In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2019). Wellington, New Zealand, pp. 3142–3149; doi:10.1109/CEC.2019.8790368 (2019) [Link/Pdf] [Matlab]

2. Yang Lou, Shiu Yin Yuen, and Guanrong Chen, "Evolving Benchmark Functions Using Kruskal-Wallis Test", In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18), Kyoto, Japan, pp. 1337–1341; doi:10.1145/3205651.3208257 (2018) [Link/Pdf] [Matlab Code]

3. Yang Lou and Shiu Yin Yuen, "A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method", In Proceedings of the Simulated Evolution and Learning, (SEAL 2017), Shenzhen, pp.51–61 (2017) [Link]

4. Yang Lou and Shiu Yin Yuen, "Non-revisiting Genetic Algorithm with Constant Memory", In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, pp.1714–1719 (2015) [Link]

Monograph:

1. Guanrong Chen and Yang Lou, Naming Game: Models, Simulations and Analysis. Springer. (ISBN: 978-3-030-05242-3) (2019) [Link] [Matlab Code]

Book Chapter:

1. Yang Lou, Shiu Yin Yuen, and Guanrong Chen, "Evolving Benchmark Functions for Optimization Algorithms", In: From Parallel to Emergent Computing. Editors: A. Adamatzky, S. Akl, G. Sirakoulis. Taylor & Francis Group, pp.239–260, 2019. [Link] [Matlab Code]


Talks

1. Towards optimal robustness of network controllability: An empirical necessary condition on node degrees (to be presened in NetSci-X 2020, Contributed Session #5, 11:00, 22 Jan 2020) [Link] [Ppsx]
2. Toward stronger robustness of network controllability: The q-snapback network model (to be presened in NetSci-X 2020, Poster Session #1, 16:10, 20 Jan 2020) [Link]
3. Predicting the Network Controllability Robustness: A Convolutional Neural Network Approach (date: 04-10-2019)
4. Toward stronger robustness of network controllability (date: 11-05-2018)
5. A Multi-word naming game model (date: 25-11-2017)
6. Communicating on complex networks: a naming game model (date: 08-04-2016)
7. Non-revisiting genetic algorithm with constant memory (date: 30-10-2015)


Awards

1. Outstanding Academic Performance Award, 2014/15, 2015/16
2. Institutional Research Tuition Scholarship, 2015/16
3. The College of Science and Engineering Student Research Excellence Award, 2014/15
4. Jockey Club House Active Resident Award, 2014/15


Useful Links

1. Statistics by DBLP: Publications per Year [Link]
2. Queueing Theory &. Stochastic Teletraffic Models [Pdf]
3. Network Science Book [Link]
4. Python 3.7 tutorial [Link]



Updated: 08-01-2020.