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闫白
研究助理教授
计算机科学与工程系
2021年-至今，研究助理教授、硕士生导师，南方科技大学斯发基斯可信自主系统研究院。
2019年-2021年，博士后，南方科技大学计算机科学与工程系。
2015年-2019年，博士，北京工业大学，光学工程专业。
2017年-2018年，国家公派联合培养博士生，澳大利亚悉尼科技大学，计算机与通信专业。
个人简介
个人简介
研究领域
计算智能、演化计算、机器学习、无线通信。
学术成果 查看更多
Li M, Yan B, Zhang J. Multi-Objective Beamforming Design in IRS-Aided MU-MISO Communications [J]. Soft Computing, 2023, 27: 8091–8106.
Yan B, Zhang J, Zhao Q, Zhang J A, & Yao X. Fitness Landscape Analysis and Niching Genetic Algorithm for Hybrid Beamforming in RIS-Aided Communications [J]. Applied Soft Computing, 131(1): 109725, 2022.
Yan B, Zhang J, Zhao Q, Zhang J A, & Yao X. Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order [J]. IEEE Transactions on Cybernetics, 2022, doi: 10.1109/TCYB.2022.3179378. (IF:19.118)
Zhao Q, Yan B, & Shi Y. AutoOpt: A methodological framework of automatically designing metaheuristics for optimization problems. ArXiv Preprint, 2022, https://arxiv.org/abs/2204.00998.
Zhao Q, Yan B, Yang J, & Shi Y. Evolutionary Robust Clustering Over Time for Temporal Data[J]. IEEE Transactions on Cybernetics, 2022, doi: 10.1109/TCYB.2022.3167711. (IF:19.118)
Yan B, Zhao Q, Zhang J, et al. Multiobjective bilevel evolutionary approach for off-grid direction-of-arrival estimation[J]. Applied Soft Computing, 2021, 113: 107954. (IF: 8.263)
Zhao Q, Yan B, Shi Y, & Middendorf M. Evolutionary dynamic multi-objective optimization via learning from historical search process[J]. IEEE Transactions on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3059252. (IF:19.118)
Yan B, Zhao Q, Zhang J A, et al. Multi-objective Sparse Reconstruction with Transfer Learning and Localized Regularization[J]. IEEE Access, 2020, 8: 184920-184933. (IF:3.476)
Liu C, Zhao Q, Yan B, Elsayed S, Ray T, & Sarker R. Adaptive sorting-based evolutionary algorithm for many-objective optimization[J]. IEEE Transactions on Evolutionary Computation, 2019, 23(2): 247-257. (IF: 16.497)
Liu C, Zhao Q, Yan B, Elsayed S, & Sarker R. Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data[J]. Information Sciences, 2019, 505: 440-456. (IF: 8.233)
Yan B, Zhao Q, Wang Z, et al. Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction[J]. Information Sciences, 2018, 462: 141-159. (IF: 8.233)
Yan B, Zhao Q, Wang Z, et al. A hybrid evolutionary algorithm for multiobjective sparse reconstruction[J]. Signal, Image and Video Processing, 2017, 11(6): 993-1000. (IF: 1.583)
Liu C, Zhao Q, Yan B, et al. A new hypervolume-based differential evolution algorithm for many-objective optimization[J]. RAIRO-Operations Research, 2017, 51(4): 1301-1315. (IF: 2.526)
Yan B, Zhao Q, Zhang J A, et al. Convergence acceleration for multiobjective sparse reconstruction via knowledge transfer[C]//International Conference on Evolutionary Multi-Criterion Optimization. Springer, Cham, 2019: 475-487.
Liu C, Zhao Q, Yan B, Elsayed S, & Sarker R. An improved multi-objective evolutionary approach for clustering high-dimensional data[C]//2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies. IEEE, 2018: 184-190.
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联系地址
工学院南楼442B
办公电话
电子邮箱
yanb@sustech.edu.cn |
