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Compositional Generalization via Neural-Symbolic Stack Machines

Aug 15, 2020
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou


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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

Jun 28, 2020
Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang

* Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20) 

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InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance

Mar 12, 2020
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Yang Shuang, Yuan Qi


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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Mar 06, 2020
Esteban Real, Chen Liang, David R. So, Quoc V. Le


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Uncovering Insurance Fraud Conspiracy with Network Learning

Feb 27, 2020
Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi

* Accepted by SIGIR '19. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2019 

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Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing

Nov 07, 2019
Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao


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Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control

Apr 15, 2019
Chen Liang, Weihong Wang, Zhenghua Liu, Chao Lai, Benchun Zhou

* Code available at https://github.com/tccliangchen/deep_meta-learning_guidance_law . in IEEE Access 2019 

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Learning to Generalize from Sparse and Underspecified Rewards

Feb 19, 2019
Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi


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The Evolved Transformer

Feb 15, 2019
David R. So, Chen Liang, Quoc V. Le

* Adding Acknowledgements and fixing batch size error 

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DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

Nov 07, 2018
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

* AAAI-19 

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Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing

Oct 31, 2018
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc Le, Ni Lao

* 16 Pages, 4 figures, 6 tables, accepted as a spotlight paper for NIPS 2018 

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A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation

Feb 27, 2018
Junting Zhang, Chen Liang, C. -C. Jay Kuo

* Accepted by ICASSP 2018 

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Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations

Jan 19, 2018
Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles

* 12 pages 

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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Apr 23, 2017
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao

* ACL 2017 camera ready version 

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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)

Dec 04, 2016
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao

* Published in NAMPI workshop at NIPS 2016. Short version of arXiv:1611.00020 

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Definition Modeling: Learning to define word embeddings in natural language

Dec 01, 2016
Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey

* To appear in AAAI Conference 2017 

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