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TAPEX: Table Pre-training via Learning a Neural SQL Executor


Jul 16, 2021
Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-guang Lou

* Work in progress, the project homepage is at https://table-pretraining.github.io/ 

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Learning Algebraic Recombination for Compositional Generalization


Jul 14, 2021
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang

* ACL Findings 2021 

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AutoAI-TS: AutoAI for Time Series Forecasting


Mar 08, 2021
Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos

* Accepted for publication at ACM SIGMOD 2021 Industry Track 

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Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization


Dec 08, 2020
Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

* accepted in AAAI 2021 

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"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL


Nov 09, 2020
Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang


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Incomplete Utterance Rewriting as Semantic Segmentation


Sep 28, 2020
Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

* To appear in EMNLP 2020 (Long Paper) 

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Discovering Traveling Companions using Autoencoders


Jul 23, 2020
Xiaochang Li, Bei Chen, Xuesong Lu


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Compositional Generalization by Learning Analytical Expressions


Jun 18, 2020
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang

* 14 pages, 6 figures 

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You Impress Me: Dialogue Generation via Mutual Persona Perception


Apr 11, 2020
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang

* Accepted by ACL 2020, code is avaiable at https://github.com/SivilTaram/Persona-Dialogue-Generation 

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How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context


Feb 03, 2020
Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

* 7 pages, 7 figures 

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A Split-and-Recombine Approach for Follow-up Query Analysis


Sep 19, 2019
Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

* Accepted by EMNLP 2019 

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Statistical and machine learning ensemble modelling to forecast sea surface temperature


Sep 18, 2019
Stefan Wolff, Fearghal O'Donncha, Bei Chen


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LambdaOpt: Learn to Regularize Recommender Models in Finer Levels


May 28, 2019
Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

* Accepted by KDD 2019 

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FANDA: A Novel Approach to Perform Follow-up Query Analysis


Jan 24, 2019
Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

* Accepted by AAAI 2019 

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Learning-to-Ask: Knowledge Acquisition via 20 Questions


Jun 22, 2018
Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao

* Accepted by KDD 2018 

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One button machine for automating feature engineering in relational databases


Jun 01, 2017
Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan


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Max-Margin Nonparametric Latent Feature Models for Link Prediction


Feb 24, 2016
Jun Zhu, Jiaming Song, Bei Chen

* 14 pages, 8 figures 

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Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation


Dec 07, 2015
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang

* Accepted by AAAI 2016 

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Jointly Modeling Topics and Intents with Global Order Structure


Dec 07, 2015
Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang

* Accepted by AAAI 2016 

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(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories


Sep 17, 2015
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen

* ECML/PKDD Discovery Challenge 2015 

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