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教师主页 科研项目 研究领域 学术成果 教学 科研分享 新闻动态 疼痛医学中心 成果介绍 软件 毕业去向 加入我们 联系我们 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. 加入团队 查看更多 联系我们 联系地址 工学院南楼442B 办公电话 电子邮箱 yanb@sustech.edu.cn