no code implementations • 25 May 2023 • Zheng Sun, Yi Wei, Wenxiao Jia, Long Yu
With the development of transformer-based methods, the performance of multivariate long-term time series forecasting has been significantly improved, however, the study of spatial features extracting in transformer-based model is rare and the consistency of different prediction periods is unsatisfactory due to the large span.
no code implementations • 2 May 2023 • Fangjian Lin, Yizhe Ma, Sitong Wu, Long Yu, Shengwei Tian
Recently Transformer has shown good performance in several vision tasks due to its powerful modeling capabilities.
no code implementations • 1 May 2023 • Yizhe Ma, Fangjian Lin, Sitong Wu, Shengwei Tian, Long Yu
We expect that our PRSeg can promote the development of MLP-based decoder in semantic segmentation.
1 code implementation • 21 Sep 2022 • Xiangzuo Huo, Gang Sun, Shengwei Tian, Yan Wang, Long Yu, Jun Long, Wendong Zhang, Aolun Li
A parallel hierarchy of local and global feature blocks is designed to efficiently extract local features and global representations at various semantic scales, with the flexibility to model at different scales and linear computational complexity relevant to image size.
no code implementations • 17 Sep 2022 • Long Yu, Zhicong Luo, Huanyong Liu, Deng Lin, Hongzhu Li, Yafeng Deng
Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out.
no code implementations • 17 Jan 2021 • Yi Zheng, Long Yu, Runruo Yang, Cheng-Xiang Wang
A general three-dimensional (3D) non-stationary massive multiple-input multiple-output (MIMO) geometry-based stochastic model (GBSM) for the sixth generation (6G) communication systems is proposed in the paper.
no code implementations • 26 Sep 2020 • Hongfeng You, Long Yu, Shengwei Tian, Xiang Ma, Yan Xing, Xiaojie Ma
To solve the above problems, in this paper, we propose a novel end-to-end semantic segmentation algorithm, DT-Net, and use two new convolution strategies to better achieve end-to-end semantic segmentation of medical images.
no code implementations • 25 Mar 2020 • Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Ning Xin
We use the output feature maps from the multiple max-pooling integration module as the input of the decoder network; the multiscale convolution of each submodule in the decoder network is cross-fused with the feature maps generated by the corresponding multiscale convolution in the encoder network.
no code implementations • 23 Mar 2020 • Long Yu, Yong He, Xin-bing Kong, Xinsheng Zhang
In this study, we propose a projection estimation method for large-dimensional matrix factor models with cross-sectionally spiked eigenvalues.
Methodology
1 code implementation • 14 Aug 2019 • Yong He, Xinbing Kong, Long Yu, Xinsheng Zhang
Large-dimensional factor model has drawn much attention in the big-data era, in order to reduce the dimensionality and extract underlying features using a few latent common factors.
Methodology