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Guokun Lai

PhD student

Language Technologies Institute of School of Computer Science, Carnegie Mellon University

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I am a first year PhD student working with Professor Yiming Yang in Language Technologies Institute of School of Computer Science at Carnegie Mellon University
I am interested in various areas of artificial intelligence, including deep learning, time series analysis, reinforcement learning and natural language reading comprehension.

Papers17 papers

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

Dai Zihang,Lai Guokun,Yang Yiming,Le Quoc V.

NIPS 2020, (2020)

EIBibtex

Explainable Unsupervised Change-point Detection via Graph Neural Networks

Zhang Ruohong, Hao Yu, Yu Donghan, Chang Wei-Cheng,Lai Guokun,Yang Yiming

Bibtex

Unsupervised Parallel Corpus Mining on Web Data

Guokun Lai,Zihang Dai,Yiming Yang

Bibtex

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

Guokun Lai,Zihang Dai

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 7812-7822

EIBibtex

Bridging the domain gap in cross-lingual document classification

Lai Guokun,Oguz Barlas, Stoyanov Veselin

Bibtex

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

Zihang Dai,Guokun Lai,Yiming Yang,Shinjae Yoo

arXiv: Learning, (2019)

Cited by1EIBibtex

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

Guokun Lai,Wei-Cheng Chang,Yiming Yang,Hanxiao Liu

SIGIR, (2018): 95-104

Cited by142EIBibtex

Learning Graph Convolution Filters from Data Manifold

Guokun Lai,Hanxiao Liu,Yiming Yang

arXiv: Learning, (2018)

Cited by5EIBibtex

Large-scale Cloze Test Dataset Designed by Teachers

Qizhe Xie,Guokun Lai,Zihang Dai,Eduard H. Hovy

arXiv: Computation and Language, (2018)

Cited by2EIBibtex

Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data

Guokun Lai, Bohan Li,Guoqing Zheng,Yiming Yang

arXiv: Learning, (2018)

Cited by7EIBibtex

Large-scale Cloze Test Dataset Created by Teachers

Qizhe Xie,Guokun Lai,Zihang Dai,Eduard H. Hovy

EMNLP, pp.2344-2356, (2018)

Cited by17EIBibtex

Learning Depthwise Graph Convolution from Data Manifold

Guokun Lai,Hanxiao Liu, Yiming Yang

arXiv: Learning, (2018)

Bibtex

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Guokun Lai,Qizhe Xie,Hanxiao Liu,Yiming Yang,Eduard H. Hovy

EMNLP, (2017)

Cited by263EIBibtex

Learning Depthwise Separable Graph Convolution from Data Manifold

Guokun Lai,Hanxiao Liu,Yiming Yang

arXiv preprint arXiv:1710.11577, (2017)

Cited by5Bibtex

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

Yongfeng Zhang,Min Zhang,Yi Zhang,Guokun Lai,Yiqun Liu,Honghui Zhang,Shaoping Ma

WWW, pp.1373-1383, (2015)

Cited by50EIBibtex

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

Guokun Lai,Min Zhang,Yi Zhang,Yiqun Liu,Shaoping Ma

international acm sigir conference on research and development in information retrieval, (2014)

Cited by11Bibtex

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

Yongfeng Zhang,Guokun Lai,Min Zhang 0006,Yi Zhang,Yiqun Liu,Shaoping Ma

SIGIR, pp.83-92, (2014)

Cited by379EIBibtex

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