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20172023
most citedBRITS: Bidirectional Recurrent Imputation for Time Series

372 citations · 862 across the 46 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018★ 17 cited

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Ning Miao, Hao Zhou, Lili Mou +2

In real-world applications of natural language generation, there are often constraints on the target sentences in addition to fluency and naturalness requirements. Existing languag…

cs.CL2018★ 1 cited

On Tree-Based Neural Sentence Modeling

Haoyue Shi, Hao Zhou, Jiaze Chen +1

Neural networks with tree-based sentence encoders have shown better results on many downstream tasks. Most of existing tree-based encoders adopt syntactic parsing trees as the expl…

cs.CL2018★ 9 cited

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation

Hareesh Bahuleyan, Lili Mou, Hao Zhou +1

The variational autoencoder (VAE) imposes a probabilistic distribution (typically Gaussian) on the latent space and penalizes the Kullback--Leibler (KL) divergence between the post…

cs.LG2018★ 372 cited

BRITS: Bidirectional Recurrent Imputation for Time Series

Wei Cao, Dong Wang, Jian Li +3

Time series are widely used as signals in many classification/regression tasks. It is ubiquitous that time series contains many missing values. Given multiple correlated time serie…

cs.IR2018★ 20 cited

QA4IE: A Question Answering based Framework for Information Extraction

Lin Qiu, Hao Zhou, Yanru Qu +7

Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts. Common IE solutions, including Relation Extraction (RE) and open…