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 | 401 | 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 | 245 | 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 | 210 | 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 | 139 | 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 | 92 | 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 | 87 | 2018 |
Semantic framework of internet of things for smart cities: Case studies N Zhang, H Chen, X Chen, J Chen Sensors 16 (9), 1501, 2016 | 82 | 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 | 75 | 2022 |
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 | 75 | 2020 |
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 | 64 | 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 | 56 | 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 | 56 | 2014 |
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 | 45 | 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 | 41 | 2021 |
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 | 36 | 2023 |
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 | 36 | 2015 |
An efficient strategy for the activation of MIP relaxations in a multicore global MINLP solver K Zhou, MR Kılınē, X Chen, NV Sahinidis Journal of Global Optimization 70, 497-516, 2018 | 34 | 2018 |
Pac-bayes information bottleneck Z Wang, SL Huang, EE Kuruoglu, J Sun, X Chen, Y Zheng arXiv preprint arXiv:2109.14509, 2021 | 33 | 2021 |
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 | 33 | 2020 |
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 | 32 | 2021 |