7 citations · 13 across the 4 of their papers we have counts for
4 papers
PA-RNet: Perturbation-Aware Residual Network for Robust Multimodal Time Series Forecasting
Enqiang Zhu, Zhenbin Deng, Shengzhi Wang +2
In real-world applications, multimodal time-series forecasting faces a key challenge: textual information is often useful but unreliable. Auxiliary texts may contain irrelevant, am…
Tag Recommendation by Word-Level Tag Sequence Modeling
Xuewen Shi, Heyan Huang, Shuyang Zhao +2
In this paper, we transform tag recommendation into a word-based text generation problem and introduce a sequence-to-sequence model. The model inherits the advantages of LSTM-based…
Neural Chinese Word Segmentation as Sequence to Sequence Translation
Xuewen Shi, Heyan Huang, Ping Jian +3
Recently, Chinese word segmentation (CWS) methods using neural networks have made impressive progress. Most of them regard the CWS as a sequence labeling problem which construct mo…
Conceptualization Topic Modeling
Yi-Kun Tang, Xian-Ling Mao, Heyan Huang +1
Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarch…