| Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction X Chen, N Zhang, X Xie, S Deng, Y Yao, C Tan, F Huang, L Si, H Chen Proceedings of the ACM Web conference 2022, 2778-2788, 2022 | 440 | 2022 |
| Long-tail relation extraction via knowledge graph embeddings and graph convolution networks N Zhang, S Deng, Z Sun, G Wang, X Chen, W Zhang, H Chen arXiv preprint arXiv:1903.01306, 2019 | 247 | 2019 |
| PRGC: Potential relation and global correspondence based joint relational triple extraction H Zheng, R Wen, X Chen, Y Yang, Y Zhang, Z Zhang, N Zhang, B Qin, ... arXiv preprint arXiv:2106.09895, 2021 | 236 | 2021 |
| Attention-based capsule networks with dynamic routing for relation extraction N Zhang, S Deng, Z Sun, X Chen, W Zhang, H Chen arXiv preprint arXiv:1812.11321, 2018 | 141 | 2018 |
| Forecasting the long-term trend of COVID-19 epidemic using a dynamic model J Sun, X Chen, Z Zhang, S Lai, B Zhao, H Liu, S Wang, W Huan, R Zhao, ... Scientific reports 10 (1), 21122, 2020 | 95 | 2020 |
| Label-free distant supervision for relation extraction via knowledge graph embedding G Wang, W Zhang, R Wang, Y Zhou, X Chen, W Zhang, H Zhu, H Chen Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 90 | 2018 |
| Information theoretic counterfactual learning from missing-not-at-random feedback Z Wang, X Chen, R Wen, SL Huang, E Kuruoglu, Y Zheng Advances in Neural Information Processing Systems 33, 1854-1864, 2020 | 86 | 2020 |
| Semantic framework of internet of things for smart cities: Case studies N Zhang, H Chen, X Chen, J Chen Sensors 16 (9), 1501, 2016 | 85 | 2016 |
| Ontology-enhanced Prompt-tuning for Few-shot Learning H Ye, N Zhang, S Deng, X Chen, H Chen, F Xiong, X Chen, H Chen Proceedings of the ACM web conference 2022, 778-787, 2022 | 84 | 2022 |
| Is visual context really helpful for knowledge graph? A representation learning perspective M Wang, S Wang, H Yang, Z Zhang, X Chen, G Qi Proceedings of the 29th ACM International Conference on Multimedia, 2735-2743, 2021 | 78 | 2021 |
| OntoEA: Ontology-guided entity alignment via joint knowledge graph embedding Y Xiang, Z Zhang, J Chen, X Chen, Z Lin, Y Zheng arXiv preprint arXiv:2105.07688, 2021 | 60 | 2021 |
| Hbasespatial: A scalable spatial data storage based on hbase N Zhang, G Zheng, H Chen, J Chen, X Chen 2014 IEEE 13th international conference on trust, security and privacy in …, 2014 | 53 | 2014 |
| Unveiling the pitfalls of knowledge editing for large language models Z Li, N Zhang, Y Yao, M Wang, X Chen, H Chen arXiv preprint arXiv:2310.02129, 2023 | 50 | 2023 |
| An industry evaluation of embedding-based entity alignment Z Zhang, J Chen, X Chen, H Liu, Y Xiang, B Liu, Y Zheng arXiv preprint arXiv:2010.11522, 2020 | 46 | 2020 |
| Online disease diagnosis with inductive heterogeneous graph convolutional networks Z Wang, R Wen, X Chen, S Cao, SL Huang, B Qian, Y Zheng Proceedings of the web conference 2021, 3349-3358, 2021 | 43 | 2021 |
| Can we edit multimodal large language models? S Cheng, B Tian, Q Liu, X Chen, Y Wang, H Chen, N Zhang arXiv preprint arXiv:2310.08475, 2023 | 39 | 2023 |
| Pac-bayes information bottleneck Z Wang, SL Huang, EE Kuruoglu, J Sun, X Chen, Y Zheng arXiv preprint arXiv:2109.14509, 2021 | 39 | 2021 |
| Unsupervised knowledge graph alignment by probabilistic reasoning and semantic embedding Z Qi, Z Zhang, J Chen, X Chen, Y Xiang, N Zhang, Y Zheng arXiv preprint arXiv:2105.05596, 2021 | 37 | 2021 |
| SparkRDF: elastic discreted RDF graph processing engine with distributed memory X Chen, H Chen, N Zhang, S Zhang 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 37 | 2015 |
| Solving optimization problems through fully convolutional networks: An application to the traveling salesman problem Z Ling, X Tao, Y Zhang, X Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7475-7485, 2020 | 34 | 2020 |
Ningyu Zhang (张宁豫)Associate Professor, Zhejiang UniversityVerified email at zju.edu.cn
