| Graph neural networks: A review of methods and applications J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun AI open 1, 57-81, 2020 | 5605 | 2020 |
| Learning Entity and Relation Embeddings for Knowledge Graph Completion Y Lin, Z Liu, M Sun, Y Liu, X Zhu AAAI, 2181-2187, 2015 | 4193 | 2015 |
| ERNIE: Enhanced Language Representation with Informative Entities Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu arXiv preprint arXiv:1905.07129, 2019 | 1576 | 2019 |
| Network Representation Learning with Rich Text Information C Yang, Z Liu, D Zhao, M Sun, EY Chang IJCAI, 2111-2117, 2015 | 1315 | 2015 |
| Neural Relation Extraction with Selective Attention over Instances Y Lin, S Shen, Z Liu, H Luan, M Sun ACL, 2016 | 1207 | 2016 |
| A C-LSTM Neural Network for Text Classification C Zhou, C Sun, Z Liu, F Lau arXiv preprint arXiv:1511.08630, 2015 | 1163 | 2015 |
| Representation Learning of Knowledge Graphs with Entity Descriptions R Xie, Z Liu, J Jia, H Luan, M Sun AAAI, 2659-2665, 2016 | 790 | 2016 |
| Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, H Luan, M Sun, S Rao, S Liu arXiv preprint arXiv:1506.00379, 2015 | 763 | 2015 |
| Pre-Trained Models: Past, Present and Future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, L Zhang, W Han, ... AI Open, 2021 | 637 | 2021 |
| Relation Classification via Multi-Level Attention CNNs L Wang, Z Cao, G de Melo, Z Liu ACL, 2016 | 636 | 2016 |
| FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation X Han, H Zhu, P Yu, Z Wang, Y Yao, Z Liu, M Sun arXiv preprint arXiv:1810.10147, 2018 | 635 | 2018 |
| End-to-end neural ad-hoc ranking with kernel pooling C Xiong, Z Dai, J Callan, Z Liu, R Power Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 609 | 2017 |
| KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang Transactions of the Association for Computational Linguistics 9, 176-194, 2021 | 604 | 2021 |
| Topical Word Embeddings Y Liu, Z Liu, TS Chua, M Sun AAAI, 2418-2424, 2015 | 566 | 2015 |
| DocRED: A Large-Scale Document-Level Relation Extraction Dataset Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun arXiv preprint arXiv:1906.06127, 2019 | 505 | 2019 |
| Automatic keyphrase extraction via topic decomposition Z Liu, W Huang, Y Zheng, M Sun Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010 | 493 | 2010 |
| Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence 5 (3), 220-235, 2023 | 454* | 2023 |
| Clustering to find exemplar terms for keyphrase extraction Z Liu, P Li, Y Zheng, M Sun Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 430 | 2009 |
| A Unified Model for Word Sense Representation and Disambiguation X Chen, Z Liu, M Sun EMNLP, 1025-1035, 2014 | 412 | 2014 |
| PTR: Prompt tuning with rules for text classification X Han, W Zhao, N Ding, Z Liu, M Sun AI Open, 2022 | 410 | 2022 |
Maosong SunProfessor of Computer Science and Technology, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
