| Continuous dynamic constrained optimization with ensemble of locating and tracking feasible regions strategies C Bu, W Luo, L Yue IEEE Transactions on Evolutionary Computation 21 (1), 14-33, 2017 | 80 | 2017 |
| Species-based particle swarm optimizer enhanced by memory for dynamic optimization W Luo, J Sun, C Bu, H Liang Applied Soft Computing 47, 130-140, 2016 | 64 | 2016 |
| Community detection by fuzzy relations W Luo, Z Yan, C Bu, D Zhang IEEE Transactions on Emerging Topics in Computing 8 (2), 478-492, 2017 | 44 | 2017 |
| Confidence-aware negative sampling method for noisy knowledge graph embedding Y Shan, C Bu, X Liu, S Ji, L Li 2018 IEEE International Conference on Big Knowledge (ICBK), 33-40, 2018 | 31 | 2018 |
| Evolutionary community discovery in dynamic networks based on leader nodes W Gao, W Luo, C Bu 2016 International Conference on Big Data and Smart Computing (BigComp), 53-60, 2016 | 28 | 2016 |
| Fuzzy Bayesian knowledge tracing F Liu, X Hu, C Bu, K Yu IEEE Transactions on Fuzzy Systems 30 (7), 2412-2425, 2021 | 24 | 2021 |
| Accelerate population-based stochastic search algorithms with memory for optima tracking on dynamic power systems T Zhu, W Luo, C Bu, L Yue IEEE Transactions on Power Systems 31 (1), 268-277, 2015 | 23 | 2015 |
| Local Graph Edge Partitioning with a Two-stage Heuristic Method S Ji, C Bu, L Li, X Wu 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019 | 19 | 2019 |
| Differential evolution with a species-based repair strategy for constrained optimization C Bu, W Luo, T Zhu 2014 IEEE Congress on Evolutionary Computation (CEC), 967-974, 2014 | 19 | 2014 |
| Combining embedding-based and symbol-based methods for entity alignment T Jiang, C Bu, Y Zhu, X Wu Pattern Recognition, 2021 | 16 | 2021 |
| Two-stage entity alignment: combining hybrid knowledge graph embedding with similarity-based relation alignment T Jiang, C Bu, Y Zhu, X Wu PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 16 | 2019 |
| A hybrid particle swarm optimization for high-dimensional dynamic optimization W Luo, B Yang, C Bu, X Lin Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 16 | 2017 |
| Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties C Bu, W Luo, T Zhu, R Yi, B Yang IEEE Transactions on Sustainable Computing, 2020 | 15 | 2020 |
| Research advances on knowledge tracing models in educational big data X Hu, F Liu, C Bu Journal of Computer Research and Development 57 (12), 2523-2546, 2020 | 14 | 2020 |
| Adapting the TopLeaders algorithm for dynamic social networks W Gao, W Luo, C Bu The Journal of Supercomputing 76 (10), 7883-7905, 2020 | 14 | 2020 |
| Identifying species for particle swarm optimization under dynamic environments W Luo, J Sun, C Bu, R Yi 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1921-1928, 2018 | 14 | 2018 |
| Solving online dynamic time-linkage problems under unreliable prediction C Bu, W Luo, T Zhu, L Yue Applied Soft Computing 56, 702-716, 2017 | 14 | 2017 |
| A hybrid genetic algorithm for vehicle routing problems with dynamic requests R Yi, W Luo, C Bu, X Lin 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 12 | 2017 |
| Chinese Entity Relation Extraction Based on Syntactic Features Y Jiang, G Wu, C Bu, X Hu 2018 IEEE International Conference on Big Knowledge (ICBK), 2018 | 11 | 2018 |
| Local Graph Edge Partitioning S Ji, C Bu, L Li, X Wu ACM Transactions on Intelligent Systems and Technology 12 (5), 1-25, 2021 | 10 | 2021 |
Wenjian LuoProfessor, School of Computer Science and Technology, Harbin Institute of Technology, ShenzhenVerified email at hit.edu.cn
