Email: guokun@cs.cmu.edu Scholar Page: Google Scholar
I am a last year PhD student working with Professor Yiming Yang in Language Technologies Institute of School of Computer Science at Carnegie Mellon University. Prior to that, I received my B.E. in Computer Science & Engineering from Tsinghua University.
My on-going research spans several subfields of deep learning, such as natural language pretraining, machine translation and neural architecture search.
Unsupervised Parallel Corpus Mining on Web Data [pdf]
Guokun Lai, Zihang Dai, Yiming Yang
Preprint
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing [pdf] [code]
Zihang Dai*, Guokun Lai*, Yiming Yang, Quoc V. Le
NeurIPS 2020
Correlation-aware Change-point Detection via Graph Neural Networks [pdf]
Ruohong Zhang*, Yu Hao*, Donghan Yu, Wei-Cheng Chang, Guokun Lai and Yiming Yang
ICONIP 2020
Bridging the domain gap in cross-lingual document classification [pdf] [code]
Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov
Preprint
Re-examination of the Role of Latent Variables in Sequence Modeling [pdf] [code]
Guokun Lai*, Zihang Dai*, Yiming Yang, Shinjae Yoo
NeurIPS 2019
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data [pdf] [code]
Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang
ICML2018 Workshop
Learning Graph Convolution Filters from Data Manifold [pdf] [code]
Guokun Lai, Hanxiao Liu, Yiming Yang
Preprint
Large-scale Cloze Test Dataset Designed by Teachers [pdf] [data]
Qizhe Xie*, Guokun Lai*, Zihang Dai, Eduard Hovy
EMNLP2018
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks [pdf] [data]
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
SIGIR2018
RACE: Large-scale ReAding Comprehension Dataset From Examinations [pdf] [data]
Guokun Lai*, Qizhe Xie*, Hanxiao Liu, Yiming Yang, Eduard Hovy
EMNLP2017
Daily-aware personalized recommendation based on feature-level time series analysis [pdf]
Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma
WWW2015
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis [pdf]
Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma
SIGIR2014
PhD in Computer Science - Language Technologies: from 2016 to -
Bachelor of Computer Science and Technology: from 2012 to 2016
Perform weight sharing neural architecture search on large-scale model search space with improved accuracy, better search efficiency and smaller size of model paraemters compared with EfficientNet
Improve cross-lingual document classification with semi-supervised learning and language pretraining technique.
NeurIPS, ICML, ACL, EMNLP
Last updated on: Sep, 2020