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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings


Jan 25, 2021
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf

* A condensed version is accepted to AISTATS 2021 

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CoLAKE: Contextualized Language and Knowledge Embedding


Oct 01, 2020
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang

* Accepted by COLING 2020 

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training


Jun 11, 2020
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang

* Submitted to NeurIPS 2020 

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BERT-ATTACK: Adversarial Attack Against BERT Using BERT


Apr 21, 2020
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu

* 8 pages, 2 figures, 

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Multi-Scale Self-Attention for Text Classification


Dec 02, 2019
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

* Accepted in AAAI2020 

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Joint Parsing and Generation for Abstractive Summarization


Nov 23, 2019
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

* AAAI 2020 (Main Technical Track) 

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BP-Transformer: Modelling Long-Range Context via Binary Partitioning


Nov 11, 2019
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang


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Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs


Sep 03, 2019
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, Zheng Zhang


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Star-Transformer


Feb 28, 2019
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang

* Accepted by NAACL 2019 

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Top-Down Tree Structured Text Generation


Aug 14, 2018
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang


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First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks


Nov 25, 2015
Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho


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