1 citations · 2 across the 4 of their papers we have counts for
4 papers
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation
Yan Zhou, Qingkai Fang, Yang Feng
End-to-end speech translation (ST) is the task of translating speech signals in the source language into text in the target language. As a cross-modal task, end-to-end ST is diffic…
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation
Yan Zhou, Jie Guo, Hao Sun +2
The main idea of multimodal recommendation is the rational utilization of the item's multimodal information to improve the recommendation performance. Previous works directly integ…
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification
Xiaowei Wu, Shengyun Wei, Yan Zhou
Currently, deep learning methods with stacking small size convolutional filters are widely used for automatic modulation classification (AMC). In this report, we find some experien…
Fast optimal structures generator for parameterized quantum circuits
Chuangtao Chen, Zhimin He, Shenggen Zheng +2
Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs) without using any prior…