1 code implementation • 8 Mar 2024 • Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao
The Dual Cross-modal Information Disentanglement (DCID) model, utilizing a unified codebook, shows promising results in achieving fine-grained representation and cross-modal generalization.
1 code implementation • 19 Feb 2024 • Shengpeng Ji, Minghui Fang, Ziyue Jiang, Rongjie Huang, Jialung Zuo, Shulei Wang, Zhou Zhao
Furthermore, we also validate the efficiency of the Language-Codec on downstream speech language models.
no code implementations • 29 Oct 2023 • Shulei Wang
Recent advances in self-supervised learning have highlighted the efficacy of data augmentation in learning data representation from unlabeled data.
no code implementations • 1 Nov 2022 • Shulei Wang
Our theoretical investigation characterizes the role of data augmentation in the proposed method and reveals why and how the data representation learned from augmented data can improve the $k$-nearest neighbor classifier in the downstream analysis, showing that a more complex data augmentation leads to more improvement in downstream analysis.
no code implementations • 14 Jun 2021 • Shulei Wang
To gain insights into this approach, we develop a statistical framework to theoretically study how self-supervised metric learning can benefit downstream tasks in the context of multi-view data.
no code implementations • 21 Jan 2021 • Shulei Wang
However, because of the compositional constraint and the prevalence of zero counts in the data, differential abundance analysis in compositional data remains a complicated and unsolved statistical problem.
Methodology Statistics Theory Quantitative Methods Applications Statistics Theory
1 code implementation • 9 Aug 2020 • Ruoqi Yu, Shulei Wang
In this paper, we investigate weighting methods from a functional estimation perspective and argue that the weights needed for covariate balancing could differ from those needed for treatment effects estimation under low regularity conditions.
Methodology Statistics Theory Statistics Theory
no code implementations • 20 Nov 2017 • Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longitudinal sources.