Guokun Lai

According to our database, Guokun Lai authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest.

Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang

CoRR, 2023

2020

Unsupervised Parallel Corpus Mining on Web Data.

Guokun Lai, Zihang Dai, Yiming Yang

CoRR, 2020

Explainable Unsupervised Change-point Detection via Graph Neural Networks.

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

CoRR, 2020

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

Zihang Dai, Guokun Lai, Yiming Yang, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Correlation-Aware Change-Point Detection via Graph Neural Networks.

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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Bridging the domain gap in cross-lingual document classification.

Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov

CoRR, 2019

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

Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang

CoRR, 2018

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

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

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Large-scale Cloze Test Dataset Created by Teachers.

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Large-scale Cloze Test Dataset Designed by Teachers.

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

CoRR, 2017

Learning Graph Convolution Filters from Data Manifold.

Guokun Lai, Hanxiao Liu, Yiming Yang

CoRR, 2017

RACE: Large-scale ReAding Comprehension Dataset From Examinations.

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

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

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

Proceedings of the 24th International Conference on World Wide Web, 2015

2014

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

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

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014