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Qianren Mao
Qianren Mao
Zhongguancun Laboratory
Verified email at zgclab.edu.cn
Title
Cited by
Cited by
Year
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
412021
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
332019
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
92021
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
72022
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
52022
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
42018
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
32022
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
32022
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
32022
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
22023
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
22022
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
22022
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
22021
Noised consistency training for text summarization
J Liu, Q Mao, B Liu, H Peng, H Zhu, J Li
arXiv preprint arXiv:2105.13635, 2021
12021
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, J Li, C Lin, W Yang, T Deng, Z Wang
arXiv preprint arXiv:2305.12074, 2023
2023
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
2023
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline Summarization
Q Mao, J Wang, Z Wang, X Li, B Li, J Li
arXiv preprint arXiv:2105.14201, 2021
2021
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