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 | 463 | 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 | 389 | 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 | 237 | 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 | 59 | 2015 |
Large-scale cloze test dataset created by teachers Q Xie, G Lai, Z Dai, E Hovy arXiv preprint arXiv:1711.03225, 2017 | 29* | 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 | 9 | 2018 |
Funnel-transformer: Filtering out sequential redundancy for efficient language processing Z Dai, G Lai, Y Yang, QV Le arXiv preprint arXiv:2006.03236, 2020 | 6 | 2020 |
Learning Depthwise Separable Graph Convolution from Data Manifold G Lai, H Liu, Y Yang arXiv preprint arXiv:1710.11577, 2017 | 6 | 2017 |
Bridging the domain gap in cross-lingual document classification G Lai, B Oguz, Y Yang, V Stoyanov arXiv preprint arXiv:1909.07009, 2019 | 3 | 2019 |
Re-examination of the role of latent variables in sequence modeling Z Dai, G Lai, Y Yang, S Yoo arXiv preprint arXiv:1902.01388, 2019 | 2 | 2019 |
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 |
Unsupervised Parallel Corpus Mining on Web Data G Lai, Z Dai, Y Yang arXiv preprint arXiv:2009.08595, 2020 | | 2020 |
Explainable 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 | | 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 |