Recent publications
Article
Chen, T & Li, M 2023, 'The weights can be harmful: pareto search versus weighted search in multi-objective search-based software engineering', ACM Transactions on Software Engineering and Methodology, vol. 32, no. 1, 5, pp. 1–40. https://doi.org/10.1145/3514233
Cai, X, Xiao, Y, Li, Z, Sun, Q, Xu, H, Li, M & Ishibuchi, H 2022, 'A kernel-based indicator for multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 26, no. 4, 9515483, pp. 602-615. https://doi.org/10.1109/TEVC.2021.3105565
Xue, Y, Li, M & Liu, X 2022, 'An effective and efficient evolutionary algorithm for many-objective optimization', Information Sciences, vol. 617, pp. 211-233. https://doi.org/10.1016/j.ins.2022.10.077
Li, M, Chen, T & Yao, X 2022, 'How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance', IEEE Transactions on Software Engineering, vol. 48, no. 5, pp. 1771-1799. https://doi.org/10.1109/TSE.2020.3036108
Xiang, Y, Huang, H, Li, M, Li, S & Yang, X 2022, 'Looking for novelty in search-based software product line testing', IEEE Transactions on Software Engineering, vol. 48, no. 7, 9350184, pp. 2317-2338. https://doi.org/10.1109/TSE.2021.3057853
Xiang, Y, Yang, X, Huang, H, Huang, Z & Li, M 2022, 'Sampling configurations from software product lines via probability-aware diversification and SAT solving', Automated Software Engineering, vol. 29, no. 2, 54. https://doi.org/10.1007/s10515-022-00348-8
Liu, Y, Hu, Y, Zhu, N, Li, K, Zou, J & Li, M 2021, 'A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively', Information Sciences, vol. 572, pp. 343-377. https://doi.org/10.1016/j.ins.2021.03.067
Cai, X, Xiao, Y, Li, M, Hu, H, Ishibuchi, H & Li, X 2021, 'A grid-based inverted generational distance for multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 25, no. 1, 9080110, pp. 21-34. https://doi.org/10.1109/TEVC.2020.2991040
Gu, X & Li, M 2021, 'A multi-granularity locally optimal prototype-based approach for classification', Information Sciences, vol. 569, pp. 157-183. https://doi.org/10.1016/j.ins.2021.04.039
Su, Z, Zhang, G, Yue, F, Zhan, D, Li, M, Li, B & Yao, X 2021, 'Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation', IEEE Transactions on Evolutionary Computation, vol. 25, no. 3, 9340399, pp. 537-551. https://doi.org/10.1109/TEVC.2021.3055538
Wang, Z, Luo, T, Li, M, Zhou, JT, Goh, RSM & Zhen, L 2021, 'Evolutionary multi-objective model compression for deep neural networks', IEEE Computational Intelligence Magazine, vol. 16, no. 3, 9492169, pp. 10-21. https://doi.org/10.1109/MCI.2021.3084393
Li, M 2021, 'Is our archiving reliable? Multiobjective archiving methods on “simple” artificial input sequences', ACM Transactions on Evolutionary Learning and Optimization, vol. 1, no. 3, 9, pp. 1-19. https://doi.org/10.1145/3465335
Conference contribution
Xue, K, Xu, J, Yuan, L, Li, M, Qian, C, Zhang, Z & Yu, Y 2022, Multi-agent dynamic algorithm configuration. in S Koyejo, S Mohamed, A Agarwal , D Belgrave, K Cho & A Oh (eds), Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Advances in neural information processing systems, NeurIPS, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, United States, 28/11/22. <https://proceedings.neurips.cc/paper_files/paper/2022/hash/7f02b39c0424cc4a422994289ca03e46-Abstract-Conference.html>
Xiang, Y, Huang, H, Zhou, Y, Li, S, Luo, C, Lin, Q, Li, M & Yang, X 2022, Search-based diverse sampling from real-world software product lines. in 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE). International Conference on Software Engineering. Proceedings, IEEE, pp. 1945-1957, 44th IEEE/ACM International Conference on Software Engineering, Pittsburgh, Pennsylvania, United States, 8/05/22. https://doi.org/10.1145/3510003.3510053
Chen, T & Li, M 2021, Multi-objectivizing software configuration tuning. in D Spinellis, G Gousios, M Chechik & M Di Penta (eds), ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ACM proceedings, Association for Computing Machinery (ACM), pp. 453–465, ESEC/FSE 2021, Athens, Greece, 23/08/21. https://doi.org/10.1145/3468264.3468555
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