Deephawkes: Bridging the gap between prediction and understanding of information cascades Q Cao, H Shen, K Cen, W Ouyang, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 267 | 2017 |

Graph convolutional networks using heat kernel for semi-supervised learning B Xu, H Shen, Q Cao, K Cen, X Cheng arXiv preprint arXiv:2007.16002, 2020 | 159 | 2020 |

图卷积神经网络综述 徐冰冰， 岑科廷， 黄俊杰， 沈华伟， 程学旗 计算机学报 43 (5), 755-780, 2020 | 85 | 2020 |

CRFs based de-identification of medical records B He, Y Guan, J Cheng, K Cen, W Hua Journal of biomedical informatics 58, S39-S46, 2015 | 61 | 2015 |

ANAE: Learning Node Context Representation for Attributed Network Embedding K Cen, H Shen, J Gao, Q Cao, B Xu, X Cheng arXiv preprint arXiv:1906.08745, 2019 | 11* | 2019 |

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Y Yuan, B Xu, H Shen, Q Cao, K Cen, W Zheng, X Cheng arXiv preprint arXiv:2211.10929, 2022 | 8 | 2022 |

Location-aware convolutional neural networks for graph classification Z Wang, Q Cao, H Shen, B Xu, K Cen, X Cheng Neural Networks 155, 74-83, 2022 | 7 | 2022 |

GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks R Yan, H Shen, C Qi, K Cen, L Wang 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 2 | 2020 |

Towards Powerful Graph Contrastive Learning without Negative Examples K Cen, H Shen, Q Cao, B Xu, X Cheng 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 1 | 2022 |

Towards Powerful Graph Neural Networks: Diversity Matters X Bingbing, H Shen, Q Cao, Y Liu, K Cen, X Cheng | 1 | 2020 |

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017 G Xing, H Gao, Q Cao, X Yue, B Xu, K Cen, H Shen Data Intelligence 1 (2), 137-159, 2019 | 1 | 2019 |

Identity-Preserving Adversarial Training for Robust Network Embedding KT Cen Journal of Computer Science and Technology, 0 | | |