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何一聪

教授

基本信息 / Basic Information

  • 博士生导师 硕士生导师
  • 电子邮箱:
  • 学历: 硕博连读
  • 学位: 博士
  • 学科: 控制科学与工程

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期刊论文

  1. Yicong He and George. K. Atia, Scalable and Robust Tensor Ring Decomposition for Large-scale Data with Missing Data and Outliers, IEEE Transactions on Circuits and Systems for Video Technology (Early Access). DOI: 10.1109/TCSVT.2024.3514614.

  2. Yicong He and George. K. Atia, Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion. IEEE Transactions on Neural Networks and Learning Systems. vol. 35, no. 10, pp. 14603-14617, Oct. 2024

  3. Yicong He and George. K. Atia, Coarse to Fine Two-Stage Approach to Robust Tensor Completion for Visual Data. IEEE Transactions on Cybernetics. vol. 54, no. 1, pp. 136-149, Jan. 2024.

  4. Yicong He and G. K. Atia, Patch Tracking-Based Streaming Tensor Ring Completion for Visual Data Recovery.  IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 12, pp. 8312-8326, Dec. 2022

  5. Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen, Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization, IEEE Transactions on Signal Processing, 68: 181-195. 2020. 

  6. Yicong He, Fei Wang, Shiyuan Wang, Badong Chen, Diffusion Adaptation Framework for Compressive Sensing Reconstruction. Signal Processing, vol.176, 2020. 

  7. Yicong He, Fei Wang, Shiyuan Wang, Jiuwen Cao, Badong Chen, Maximum Correntropy Adaptation Approach for Robust Compressive Sensing Reconstruction. Information Sciences, vol. 480, pp. 381-402, 2019. 

  8. Yicong He, Fei Wang, Shiyuan Wang, Pengju Ren, Badong Chen, Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 2, pp. 307-311, 2019. 

  9. Fei Wang, Yicong He, Shiyuan Wang, Badong Chen, Maximum total correntropy adaptive filtering against heavy-tailed noises, Signal Processing, vol.141, pp. 84-95, 2017. 

会议论文:

  1. Yicong He and George. K. Atia, Heterogeneous Tensor Domain Adaptation, IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP 2024).

  2. Yicong He and George. K. Atia, Scalable and Robust Tensor Ring Decomposition for Large-scale Data, 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). 

  3. Yicong He and George. K. Atia, Robust and Parallelizable Tensor Completion based on Tensor Factorization and Maximum Correntropy Criterion, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). 

  4. Yicong He and George. K. Atia, Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation, 36th AAAI Conference on Artificial Intelligence (AAAI 2022). 

  5. Yicong He, Andre Beckus and George. K. Atia, Scalable Community Detection in the Degree-Corrected Stochastic Block Model, IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP 2021).

  6. Yicong He and George. K. Atia, Scalable Direction-Search-Based Approach to Subspace Clustering, 25th International Conference on Pattern Recognition (ICPR 2020). 

  7. Yicong He, Fei Wang, Jing Yang, Haijun Rong, Badong Chen, Kernel Adaptive Filtering under Generalized Maximum Correntropy Criterion. International Joint Conference on Neural Networks, 2016 (IJCNN 2016).