1 code implementation • 30 Dec 2023 • Wenjun Zhu, Yuan Sun, Jiani Liu, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu
The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat.
no code implementations • 13 Dec 2023 • Ruituo Wu, Jiani Liu, Ce Zhu, Anh-Huy Phan, Ivan V. Oseledets, Yipeng Liu
However, a substantial number of potential tensor permutations can lead to a tensor network with the same structure but varying expressive capabilities.
1 code implementation • 30 Aug 2023 • Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Xiaolin Huang, Johan A. K. Suykens
In contrast to previous MTL frameworks, our decision function in the dual induces a weighted kernel function with a task-coupling term characterized by the similarities of the task-specific factors, better revealing the explicit relations across tasks in MTL.
13 code implementations • 22 Aug 2023 • Jiani Liu, Ce Zhu, Zhen Long, Yipeng Liu
Tensors, as high dimensional extensions of vectors, are considered as natural representations of high dimensional data.
no code implementations • 4 Mar 2023 • Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A. K. Suykens
Multitask learning (MTL) can utilize the relatedness between multiple tasks for performance improvement.
no code implementations • 19 Oct 2022 • Yucong Lin, Hongming Xiao, Jiani Liu, Zichao Lin, Keming Lu, Feifei Wang, Wei Wei
Recently, knowledge-enhanced methods leveraging auxiliary knowledge graphs have emerged in relation extraction, surpassing traditional text-based approaches.
no code implementations • 24 Jun 2021 • Xingyu Cao, Jiani Liu
In this paper, the proposed fast count sketch (FCS) applies multiple shorter Hash functions based CS to the vector form of the input tensor, which is more accurate than TS since the spatial information of the input tensor can be preserved more sufficiently.
no code implementations • 29 Jun 2020 • Zhen Long, Ce Zhu, Jiani Liu, Yipeng Liu
Low rank tensor ring model is powerful for image completion which recovers missing entries in data acquisition and transformation.
no code implementations • 29 Jun 2020 • Zhen Long, Yipeng Liu, Sixing Zeng, Jiani Liu, Fei Wen, Ce Zhu
In this paper, we present a HSI restoration method named smooth and robust low rank tensor recovery.
1 code implementation • 21 Apr 2020 • Zhonghao Zhang, Yipeng Liu, Jiani Liu, Fei Wen, Ce Zhu
By unfolding the iterative optimization algorithm for model-based methods onto networks, deep unfolding methods have the good interpretation of model-based methods and the high speed of classical deep network methods.