Yuru Zou

activity

20192025

collaborators

5 papers

math.DS2025

Hausdorff dimension of double base expansions and binary shifts with a hole

Jian Lu, Wolfgang Steiner, Yuru Zou

For two real bases $q_{0}, q_{1} > 1$ , a binary sequence $i_{1} i_{2} \dots \in {0, 1}^{\infty}$ is the $(q_{0}, q_{1})$ -expansion of the number \[ π_{q_0,q_1}(i_1 i_2 \cdots) = \sum_{k=1}^\inf…

cs.CV2022

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Saghir Alfasly, Jian Lu, Chen Xu +1

With the assumption that a video dataset is multimodality annotated in which auditory and visual modalities both are labeled or class-relevant, current multimodal methods apply mod…

math.NT2021

Metric results for numbers with multiple $q$ -expansions

Simon Baker, Yuru Zou

Let $M$ be a positive integer and $q \in (1, M + 1]$ . A $q$ -expansion of a real number $x$ is a sequence $(c_{i}) = c_{1} c_{2} \dots$ with $c_{i} \in {0, 1, \dots, M}$ such that $x=\sum_{i=1}^{…

cs.CV2021

EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

Hu Zhang, Keke Zu, Jian Lu +2

Recently, it has been demonstrated that the performance of a deep convolutional neural network can be effectively improved by embedding an attention module into it. In this work, a…

math.NT2019

Univoque graphs and multiple expansions

Yuru Zou, Jian Lu, Vilmos Komornik

Unique expansions in non-integer bases $q$ have been investigated in many papers during the last thirty years. They are often conveniently generated by labeled directed graphs. In…

Hausdorff dimension of double base expansions and binary shifts with a hole

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos

Metric results for numbers with multiple q-expansions

EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

Univoque graphs and multiple expansions

Metric results for numbers with multiple $q$ -expansions