Guokun Lai

发表

Unsupervised Parallel Corpus Mining on Web Data pdf

Guokun Lai, Yiming Yang, Zihang Dai, 2020, ArXiv.

Explainable Unsupervised Change-point Detection via Graph Neural Networks pdf

Ruohong Zhang, Donghan Yu, Wei-Cheng Chang, 2020, ArXiv.

Learning Graph Convolution Filters from Data Manifold pdf

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, ArXiv.

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, SIGIR.

Bridging the domain gap in cross-lingual document classification pdf

Guokun Lai, Yiming Yang, Veselin Stoyanov, 2019, ArXiv.

Large-scale Cloze Test Dataset Created by Teachers

Guokun Lai, Eduard H. Hovy, Qizhe Xie, 2017, EMNLP.

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

Guokun Lai, Yiqun Liu, Min Zhang, 2014, SIGIR.

Re-examination of the Role of Latent Variables in Sequence Modeling

Guokun Lai, Yiming Yang, Zihang Dai, 2019, NeurIPS.

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing pdf

Guokun Lai, Yiming Yang, Quoc V. Le, 2020, NeurIPS.

Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data pdf

Guokun Lai, Yiming Yang, Bohan Li, 2018, ArXiv.

Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks

Ruohong Zhang, Donghan Yu, Wei-Cheng Chang, 2020 .

Learning Depthwise Graph Convolution from Data Manifold

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017 .

Large-scale Cloze Test Dataset Designed by Teachers pdf

Guokun Lai, Eduard H. Hovy, Qizhe Xie, 2018, ArXiv.

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis

Guokun Lai, Yiqun Liu, Min Zhang, 2015, WWW.

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, EMNLP.

Learning Depthwise Separable Graph Convolution from Data Manifold

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, 1710.11577.