嘉宾介绍

       刘翼鹏，电子科技大学信息与通信工程学院副教授。分别于2006年和2011年获得电子科技大学工学学士和工学博士学位，2011年至2014年于比利时鲁汶大学任博士后研究员。2014年至今在电子科技大学工作。主要研究兴趣是张量信号处理。通过张量分解拓展多种机器学习方法，解决相关高维数据处理问题。在JSTSP、TSP、TMI、TMM等相关领域期刊发表论文30余篇。受邀在ISCAS 2019、SIPS 2019、APSIPA ASC 2019、ICIP 2020作大会专题报告。担任IEEE Signal Processing Letters编委，Signal Processing: Image Communication张量图像处理专辑首席客座编委，IEEE 高级会员，拉斯维加斯手机娱乐网站 青年工作委员会委员。

报告介绍

报告题目：低秩张量分析：张量计算基础、机器学习方法和图像处理应用

报告摘要：传统信号处理技术常常将多维数据转化成矩阵形式进行处理。矩阵化的操作可能破坏高维数据的空间结构，导致非最优的处理性能。张量是多维数据的自然表示，基于张量计算的信号处理可以避免损坏空间结构，获得更好的处理性能。本次报告将以张量分解为基础，推广一系列机器学习方法，包括张量字典学习、缺失成分补全、张量主成分分析、张量回归、张量神经网络等，并讨论这些方法在图像重建、图像增强、背景提取、时间序列预测等的应用。

参考文献

1. Yipeng Liu, Jiani Liu, Ce Zhu, "Low Rank Tensor Train Coefficient Array Estimation for Tensor-on-Tensor Regression," IEEE Transactions on Neural Networks and Learning Systems, 2020.

2. Huyan Huang, Yipeng Liu, Jiani Liu, Ce Zhu, "Provable Tensor Ring Completion," Signal Processing, vol. 171, no. 107486, 2020.

3. Lanlan Feng, Yipeng Liu, Longxi Chen, Xiang Zhang, Ce Zhu, "Robust Block Tensor Principal Component Analysis," Signal Processing, vol. 166, no. 107271, pp. 1 - 13, 2020. 

4. Yipeng Liu, Zhen Long, Huyan Huang, Ce Zhu, "Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data," IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 4, pp. 944-954, 2020.

5. Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu, "DaST: Data-free Substitute Training for Adversarial Attacks," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 14 - June 19, 2020.

6. Yipeng Liu, Zhen Long, Ce Zhu, "Image Completion Using Low Tensor Tree Rank and Total Variation Minimization," IEEE Transactions on Multimedia, vol. 21, no. 2, pp. 338-350, 2019.

7. Zhen Long, Yipeng Liu, Longxi Chen, Ce Zhu, "Low Rank Tensor Completion for Multiway Visual Data ," Signal Processing, vol. 155, pp. 301 - 316, 2019.

8. Yipeng Liu, Longxi Chen, Ce Zhu, "Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1378 - 1389, 2018.

9. Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu, "Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction," IEEE Transactions on Medical Imaging, vol. 36, no. 10, pp. 2148 - 2159, 2017.

10. Fei Wen, Peilin Liu, Yipeng Liu, Robert Caiming Qiu, and Wenxian Yu, “Robust sparse recovery in impulsive noise via Lp-L1 optimization,” IEEE Transactions on Signal Processing, vol. 65, no. 1, pp. 105-118, 2017.

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