| Robust distant supervision relation extraction via deep reinforcement learning P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09927, 2018 | 212 | 2018 |
| Dsgan: Generative adversarial training for distant supervision relation extraction P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09929, 2018 | 151 | 2018 |
| Semantically conditioned dialog response generation via hierarchical disentangled self-attention W Chen, J Chen, P Qin, X Yan, WY Wang arXiv preprint arXiv:1905.12866, 2019 | 115 | 2019 |
| An empirical convolutional neural network approach for semantic relation classification P Qin, W Xu, J Guo Neurocomputing 190, 1-9, 2016 | 89 | 2016 |
| Generative adversarial zero-shot relational learning for knowledge graphs P Qin, X Wang, W Chen, C Zhang, W Xu, WY Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8673-8680, 2020 | 46 | 2020 |
| Multi-task self-supervised learning for disfluency detection S Wang, W Che, Q Liu, P Qin, T Liu, WY Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9193-9200, 2020 | 42 | 2020 |
| Deep reinforcement learning with distributional semantic rewards for abstractive summarization S Li, D Lei, P Qin, WY Wang arXiv preprint arXiv:1909.00141, 2019 | 35 | 2019 |
| A novel negative sampling based on TFIDF for learning word representation P Qin, W Xu, J Guo Neurocomputing 177, 257-265, 2016 | 32 | 2016 |
| Designing an adaptive attention mechanism for relation classification P Qin, W Xu, J Guo 2017 International Joint Conference on Neural Networks (IJCNN), 4356-4362, 2017 | 31 | 2017 |
| A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks P Qin, W Xu, J Guo Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 3 | 2017 |
| BUPT_PRIS at TAC KBP 2015. P Qin, C Ma, Y Jia, W Wang, Z Zhang, Z Bao, W Xu, J Guo TAC, 2015 | 2 | 2015 |
| An new strategy for online evaluation of analog circuit performance based adaptive least squares support vector regression with double kernel RBF tuning H Xing, Q Pengda, Z Aihua 2013 IEEE 11th International Conference on Electronic Measurement …, 2013 | 2 | 2013 |
| Fine-grained entity typing for knowledge base completion Y Jia, W Xu, P Qin, Z Bao 2016 IEEE International Conference on Network Infrastructure and Digital …, 2016 | 1 | 2016 |
| Study on Multi-subject Text Classification Algorithms Y Qin, P Qin, S Lun, C Li Journal of Convergence Information Technology 8 (10), 42, 2013 | 1 | 2013 |
| A new optimal binary tree SVM Multi-class Classification Algorithm YP Qin, PD Qin, Y Wang, SX Lun Applied Mechanics and Materials 373, 1085-1088, 2013 | 1 | 2013 |
| An improved faults diagnosis strategy of analog circuit online using kernel fuzzy c-means for the unknown fault PD Qin, YP Qin, AH Zhang Advanced Materials Research 712, 1952-1955, 2013 | 1 | 2013 |
| Providing Definitive Learning Direction for Relation Classification System P Qin, W Xu, J Guo Journal of Control Science and Engineering 2017, 2017 | | 2017 |
| A New SVM Multi-Class Classification Algorithm Based on Sample Scale and Distribution Area YP Qin, PD Qin, SX Lun, Y Wang Advanced Materials Research 712, 2529-2533, 2013 | | 2013 |
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVahvistettu sähköpostiosoite verkkotunnuksessa cs.ucsb.edu
