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电子科技大学赵熙乐教授学术报告通知
发布时间 : 2023-03-15     点击量:

报告题目:The Evolution of Tensor Network Decompositions

报告时间:2023/03/22 14:30-15:30

报告方式#腾讯会议 664-451-265


摘要:Recently,  tensor network decompositions are emerging for capturing the intrinsic structures of multi-dimensional data, especially for high-order data. The topology design of tensor network decompositions is the key problem in the development of tensor network decompositions.  In this talk, I will first review the recent progress of tensor network decompositions. Then, I will discuss how to design fast algorithms for tensor network decompositions from a unified framework. Finally, we will also discuss the limitation and future possibilities of tensor network decompositions.


个人简介:赵熙乐,电子科技大学教授,入选电子科技大学百人计划和四川省学术和技术带头人后备人选。已第一或通讯作者在权威SIAM 系列期刊(SIIMSSISC)IEEE系列期刊(TIPTNNLSTCYBTCITGRS)及计算机学会A类会议CVPRAAAIACMMM等发表研究工作。研究成果获四川省科技进步一等奖两项(自然科学类、科技进步类)

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