Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... | 222 | 2019 |

Star-transformer Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang arXiv preprint arXiv:1902.09113, 2019 | 89 | 2019 |

First step toward model-free, anonymous object tracking with recurrent neural networks Q Gan, Q Guo, Z Zhang, K Cho arXiv preprint arXiv:1511.06425, 2015 | 55 | 2015 |

Bert-attack: Adversarial attack against bert using bert L Li, R Ma, Q Guo, X Xue, X Qiu arXiv preprint arXiv:2004.09984, 2020 | 43 | 2020 |

Bp-transformer: Modelling long-range context via binary partitioning Z Ye, Q Guo, Q Gan, X Qiu, Z Zhang arXiv preprint arXiv:1911.04070, 2019 | 24 | 2019 |

Multi-Scale Self-Attention for Text Classification Q Guo, X Qiu, P Liu, X Xue, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7847-7854, 2020 | 12 | 2020 |

Cyclegt: Unsupervised graph-to-text and text-to-graph generation via cycle training Q Guo, Z Jin, X Qiu, W Zhang, D Wipf, Z Zhang arXiv preprint arXiv:2006.04702, 2020 | 9 | 2020 |

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation Z Jin, Q Guo, X Qiu, Z Zhang Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |

Joint parsing and generation for abstractive summarization K Song, L Lebanoff, Q Guo, X Qiu, X Xue, C Li, D Yu, F Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8894-8901, 2020 | 5 | 2020 |

Deep graph library, 2018 M Wang, L Yu, Q Gan, D Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, ... URL http://dgl. ai, 0 | 5 | |

CoLAKE: Contextualized Language and Knowledge Embedding T Sun, Y Shao, X Qiu, Q Guo, Y Hu, X Huang, Z Zhang arXiv preprint arXiv:2010.00309, 2020 | 4 | 2020 |

Low-Rank and Locality Constrained Self-Attention for Sequence Modeling Q Guo, X Qiu, X Xue, Z Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 2 | 2019 |

Segtree transformer: Iterative refinement of hierarchical features Z Ye, Q Guo, Q Gan, Z Zhang ICLR 2019 Workshop on” Representation Learning on Graphs and Manifolds, 2019 | 2 | 2019 |

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Q Guo, Z Jin, Z Wang, X Qiu, W Zhang, J Zhu, Z Zhang, W David International Conference on Artificial Intelligence and Statistics, 1828-1836, 2021 | 1 | 2021 |

y2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation Q Guo, Z Jin, N Dai, X Qiu, X Xue, D Wipf, Z Zhang Proceedings of the 3rd WebNLG Workshop on Natural Language Generation from …, 2020 | 1 | 2020 |

A Unified Generative Framework for Various NER Subtasks H Yan, T Gui, J Dai, Q Guo, Z Zhang, X Qiu arXiv preprint arXiv:2106.01223, 2021 | | 2021 |

\cal P2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation Q Guo, Z Jin, N Dai, X Qiu, X Xue, D Wipf, Z Zhang Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | | 2020 |

Top-Down Tree Structured Text Generation Q Guo, X Qiu, X Xue, Z Zhang arXiv preprint arXiv:1808.04865, 2018 | | 2018 |

Syntax-Guided Text Generation via Graph Neural Network Q Guo, X Qiu, XY Xue, Z Zhang SCIENCE CHINA Information Sciences, 0 | | |