Guokun Lai
Guokun Lai
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Race: Large-scale reading comprehension dataset from examinations
G Lai, Q Xie, H Liu, Y Yang, E Hovy
arXiv preprint arXiv:1704.04683, 2017
5852017
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Y Zhang, G Lai, M Zhang, Y Zhang, Y Liu, S Ma
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
5712014
Modeling long-and short-term temporal patterns with deep neural networks
G Lai, WC Chang, Y Yang, H Liu
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
4392018
Daily-aware personalized recommendation based on feature-level time series analysis
Y Zhang, M Zhang, Y Zhang, G Lai, Y Liu, H Zhang, S Ma
Proceedings of the 24th international conference on world wide web, 1373-1383, 2015
702015
Large-scale cloze test dataset created by teachers
Q Xie, G Lai, Z Dai, E Hovy
arXiv preprint arXiv:1711.03225, 2017
45*2017
Funnel-transformer: Filtering out sequential redundancy for efficient language processing
Z Dai, G Lai, Y Yang, QV Le
arXiv preprint arXiv:2006.03236, 2020
402020
Stochastic wavenet: A generative latent variable model for sequential data
G Lai, B Li, G Zheng, Y Yang
arXiv preprint arXiv:1806.06116, 2018
122018
Bridging the domain gap in cross-lingual document classification
G Lai, B Oguz, Y Yang, V Stoyanov
arXiv preprint arXiv:1909.07009, 2019
82019
Learning Depthwise Separable Graph Convolution from Data Manifold
G Lai, H Liu, Y Yang
arXiv preprint arXiv:1710.11577, 2017
82017
Re-examination of the role of latent variables in sequence modeling
G Lai, Z Dai, Y Yang, S Yoo
Advances in Neural Information Processing Systems 32, 7814-7824, 2019
32019
Unsupervised Parallel Corpus Mining on Web Data
G Lai, Z Dai, Y Yang
arXiv preprint arXiv:2009.08595, 2020
22020
Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang
arXiv preprint arXiv:2004.11934, 2020
12020
Neural Sequential Modeling and Applications
G Lai
Google Research, 2021
2021
Correlation-Aware Change-Point Detection via Graph Neural Networks
R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang
International Conference on Neural Information Processing, 555-567, 2020
2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang
arXiv e-prints, arXiv: 2004.11934, 2020
2020
Exploring Machine Learning Models for Cloud Microphysics Parameterizations
Y Liu, J Chen, G Lai, Y Yang, S Yoo
AGU Fall Meeting Abstracts 2018, A21K-2858, 2018
2018
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Articles 1–16