| Event prediction based on evolutionary event ontology knowledge Q Mao, X Li, H Peng, J Li, D He, S Guo, M He, L Wang Future Generation Computer Systems 115, 76-89, 2021 | 48 | 2021 |
| Aspect-based sentiment classification with attentive neural turing machines. Q Mao, J Li, S Wang, Y Zhang, H Peng, M He, L Wang IJCAI, 5139-5145, 2019 | 36 | 2019 |
| Fact-driven abstractive summarization by utilizing multi-granular multi-relational knowledge Q Mao, J Li, H Peng, S He, L Wang, SY Philip, Z Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1665-1678, 2022 | 11 | 2022 |
| Multi-level connection enhanced representation learning for script event prediction L Wang, J Yue, S Guo, J Sheng, Q Mao, Z Chen, S Zhong, C Li Proceedings of the Web Conference 2021, 3524-3533, 2021 | 9 | 2021 |
| Noise-injected consistency training and entropy-constrained pseudo labeling for semi-supervised extractive summarization Y Wang, Q Mao, J Liu, W Jiang, H Zhu, J Li Proceedings of the 29th International Conference on Computational …, 2022 | 8 | 2022 |
| Muchsum: Multi-channel graph neural network for extractive summarization Q Mao, H Zhu, J Liu, C Ji, H Peng, J Li, L Wang, Z Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 4 | 2022 |
| Path-Graph fusion based community detection over heterogeneous information network J Li, P Sun, Q Mao, J Li 2018 IEEE 20th International Conference on High Performance Computing and …, 2018 | 4 | 2018 |
| Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler Z Chen, H Sun, W Zhang, C Xu, Q Mao, P Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Higil: Hierarchical graph inference learning for fact checking Q Mao, Y Wang, C Yang, L Du, H Peng, J Wu, J Li, Z Wang 2022 IEEE International Conference on Data Mining (ICDM), 329-337, 2022 | 3 | 2022 |
| Attend and select: A segment selective transformer for microblog hashtag generation Q Mao, X Li, B Liu, S Guo, P Hao, J Li, L Wang Knowledge-Based Systems 254, 109581, 2022 | 3 | 2022 |
| Explicitly modeling importance and coherence for timeline summarization Q Mao, J Li, JZ Wang, X Li, P Hao, L Wang, Z Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks Q Mao, J Li, C Lin, C Chen, H Peng, L Wang, SY Philip IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 622-634, 2022 | 2 | 2022 |
| Automated Timeline Length Selection for Flexible Timeline Summarization X Li, Q Mao, H Peng, H Zhu, J Li, Z Wang arXiv e-prints, arXiv: 2105.14201, 2021 | 2 | 2021 |
| POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs J Liu, Q Mao, J Li, X Fu, Z Wang ECAI 2023, 1521-1528, 2023 | 1 | 2023 |
| Noised consistency training for text summarization J Liu, Q Mao, B Liu, H Peng, H Zhu, J Li arXiv preprint arXiv:2105.13635, 2021 | 1 | 2021 |
| Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction Q Li, C Ji, S Guo, Y Zhao, Q Mao, S Wang, Y Wei, J Li arXiv preprint arXiv:2404.12006, 2024 | | 2024 |
| Federated Complex Qeury Answering Q Hu, W Jiang, H Li, Z Wang, J Bai, Q Mao, Y Song, L Fan, J Li arXiv preprint arXiv:2402.14609, 2024 | | 2024 |
| LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs J Liu, Q Mao, C Lin, Y Song, J Li Findings of the Association for Computational Linguistics: EMNLP 2023, 4578-4586, 2023 | | 2023 |
| Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders Q Mao, S Zhao, J Li, X Gu, S He, B Li, J Li arXiv preprint arXiv:2310.18992, 2023 | | 2023 |
| DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining W Jiang, Q Mao, C Lin, J Li, T Deng, W Yang, Z Wang arXiv preprint arXiv:2305.12074, 2023 | | 2023 |
Jianxin LiSchool of Computer Science & Engineering, Beihang University在 act.buaa.edu.cn 的电子邮件经过验证
