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QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications

Oct 28, 2020
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo

* accepted by Computer Speech & Language 

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Neural Architecture Search For Keyword Spotting

Sep 02, 2020
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui

* will be presented in INTERSPEECH 2020 

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Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models

Apr 13, 2020
Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang

* Accepted as full paper by AAAI-2020 (oral presentation) 

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GIANT: Scalable Creation of a Web-scale Ontology

Apr 05, 2020
Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu

* Accepted as full paper by SIGMOD 2020 

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Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus

Mar 05, 2020
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

* Accepted by The Web Conference 2020 (WWW 2020) as full paper (oral presentation) 

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Learning Privately over Distributed Features: An ADMM Sharing Approach

Jul 17, 2019
Yaochen Hu, Peng Liu, Linglong Kong, Di Niu


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Multiresolution Graph Attention Networks for Relevance Matching

Feb 27, 2019
Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

* Accepted by CIKM 2018 

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Learning to Generate Questions by Learning What not to Generate

Feb 27, 2019
Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

* Accepted by WWW 2019 

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Stochastic Distributed Optimization for Machine Learning from Decentralized Features

Dec 16, 2018
Yaochen Hu, Di Niu, Jianming Yang

* 9 pages 

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A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems

Oct 19, 2018
Rui Zhu, Di Niu

* arXiv admin note: substantial text overlap with arXiv:1802.08880 

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Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization

Sep 15, 2018
Rui Zhu, Di Niu, Zongpeng Li


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Growing Story Forest Online from Massive Breaking News

Mar 01, 2018
Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu

* Accepted by CIKM 2017, 9 pages 

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Matching Natural Language Sentences with Hierarchical Sentence Factorization

Mar 01, 2018
Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

* Accepted by WWW 2018, 10 pages 

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A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization

Feb 24, 2018
Rui Zhu, Di Niu, Zongpeng Li


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Matching Long Text Documents via Graph Convolutional Networks

Feb 21, 2018
Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu

* 9 pages, 6 figures 

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Expectile Matrix Factorization for Skewed Data Analysis

Mar 03, 2017
Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li

* 8 page main text with 5 page supplementary documents, published in AAAI 2017 

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