no code implementations • 18 Jun 2021 • Shucheng Li, Fengyuan Xu, Runchuan Wang, Sheng Zhong
In our model, two pretext tasks designed from spatial and temporal perspectives help us effectively learn useful node embedding from the huge amount of unlabelled transaction data.
1 code implementation • 10 Jun 2021 • Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP).
no code implementations • 24 May 2021 • Guoqiang Liang, Yanbing Lv, Shucheng Li, Shizhou Zhang, Yanning Zhang
Specifically, the generator employs a fully convolutional sequence network to extract global representation of a video, and an attention-based network to output normalized importance scores.
Generative Adversarial Network Unsupervised Video Summarization
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
In particular, we investigated our model for solving two problems, neural semantic parsing and math word problem.