| Nature-inspired multiobjective cancer subtype diagnosis Y Wang, B Liu, Z Ma, KC Wong, X Li IEEE journal of translational engineering in health and medicine 7, 1-12, 2019 | 26 | 2019 |
| Multiobjective environment/economic power dispatch using evolutionary multiobjective optimization S Ma, Y Wang, Y Lv IEEE Access 6, 13066-13074, 2018 | 19 | 2018 |
| Multi-population based ensemble mutation method for single objective bilevel optimization problem X Li, S Ma, Y Wang IEEE Access 4, 7262-7274, 2016 | 18 | 2016 |
| A comparative study of swarm intelligence algorithms for ucav path-planning problems H Zhu, Y Wang, Z Ma, X Li Mathematics 9 (2), 171, 2021 | 17 | 2021 |
| A hybrid local search algorithm for the sequence dependent setup times flowshop scheduling problem with makespan criterion Y Wang, X Li, Z Ma Sustainability 9 (12), 2318, 2017 | 17 | 2017 |
| Identification of pan-cancer Ras pathway activation with deep learning X Li, S Li, Y Wang, S Zhang, KC Wong Briefings in Bioinformatics 22 (4), bbaa258, 2021 | 16 | 2021 |
| Evolutionary multiobjective clustering algorithms with ensemble for patient stratification Y Wang, X Li, KC Wong, Y Chang, S Yang IEEE Transactions on Cybernetics 52 (10), 11027-11040, 2021 | 12 | 2021 |
| A hybrid chaotic biogeography based optimization for the sequence dependent setup times flowshop scheduling problem with weighted tardiness objective Y Wang, X Li IEEE Access 5, 26046-26062, 2017 | 12 | 2017 |
| Nature-inspired multiobjective patient stratification from cancer gene expression data Y Wang, Z Ma, KC Wong, X Li Information Sciences 526, 245-262, 2020 | 11 | 2020 |
| Evolving multiobjective cancer subtype diagnosis from cancer gene expression data Y Wang, Z Ma, KC Wong, X Li IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020 | 7 | 2020 |
| A novel artificial bee colony algorithm for robust permutation flowshop scheduling S Ma, Y Wang, M Li Natural Computing for Unsupervised Learning, 163-182, 2019 | 4 | 2019 |
| Classification of gene expression data using multiobjective differential evolution S Ma, X Li, Y Wang Energies 9 (12), 1061, 2016 | 4 | 2016 |
| Identification of haploinsufficient genes from epigenomic data using deep forest Y Yang, S Li, Y Wang, Z Ma, KC Wong, X Li Briefings in Bioinformatics 22 (5), bbaa393, 2021 | 3 | 2021 |
| BAMOKNN: A novel computational method for predicting the apoptosis protein locations X Li, S Ma, Y Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 2 | 2016 |
| Cancer molecular subtype classification from hypervolume-based discrete evolutionary optimization Y Wang, S Li, L Wang, Z Ma, X Li Neural Computing and Applications 32, 15489-15502, 2020 | 1 | 2020 |
Xiangtao LiProfessor, Jilin University, SMIEEEVerified email at jlu.edu.cn
