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,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

研究领域

计算智能、演化计算、机器学习及其在无线通信领域中的应用(如压缩感知、阵列测向、智能超表面辅助通信等)。


学术成果 查看更多

  1. 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]. Under Review.
  2. 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, doi: 10.1109/TCYB.2022.3179378. 
  3. 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.
  4. Zhao Q, Yan B, Yang J, & Shi Y. Evolutionary Robust Clustering Over Time for Temporal Data[J]. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3167711. 
  5. 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. 
  6. 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. 
  7. 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. 
  8. 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. 
  9. 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. 
  10. Yan B, Zhao Q, Wang Z, et al. Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction[J]. Information Sciences, 2018, 462: 141-159. 
  11. 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. 
  12. 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. 
  13. 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.
  14. 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@sustc.edu.cn

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