Guokun Lai
Guokun Lai
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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
Race: Large-scale reading comprehension dataset from examinations
G Lai, Q Xie, H Liu, Y Yang, E Hovy
arXiv preprint arXiv:1704.04683, 2017
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
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
Large-scale cloze test dataset created by teachers
Q Xie, G Lai, Z Dai, E Hovy
arXiv preprint arXiv:1711.03225, 2017
Stochastic wavenet: A generative latent variable model for sequential data
G Lai, B Li, G Zheng, Y Yang
arXiv preprint arXiv:1806.06116, 2018
Learning graph convolution filters from data manifold
G Lai, H Liu, Y Yang
Large-scale cloze test dataset designed by teachers
Q Xie, G Lai, Z Dai, E Hovy
Bridging the domain gap in cross-lingual document classification
G Lai, B Oguz, V Stoyanov
arXiv preprint arXiv:1909.07009, 2019
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, 7812-7822, 2019
Learning Depthwise Separable Graph Convolution from Data Manifold
G Lai, H Liu, Y Yang
arXiv preprint arXiv:1710.11577, 2017
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