| Robust distant supervision relation extraction via deep reinforcement learning P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09927, 2018 | 261 | 2018 |
| DSGAN: Generative adversarial training for distant supervision relation extraction P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09929, 2018 | 180 | 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 | 143 | 2019 |
| An empirical convolutional neural network approach for semantic relation classification P Qin, W Xu, J Guo Neurocomputing 190, 1-9, 2016 | 97 | 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 | 71 | 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 | 51 | 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 | 50 | 2019 |
| A novel negative sampling based on TFIDF for learning word representation P Qin, W Xu, J Guo Neurocomputing 177, 257-265, 2016 | 41 | 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 | 32 | 2017 |
| Synthesizing coherent story with auto-regressive latent diffusion models X Pan, P Qin, Y Li, H Xue, W Chen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 26 | 2024 |
| 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 |
| 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 | 3 | 2013 |
| Multi-task self-supervised learning for disfluency detection W Shaolei, C Wanxiang, L Qi, Q Pengda, L Ting, WW Yang | 2 | 2019 |
| Adaptive weighting multi-gram sentence modeling system based on convolutional neural network Z Chunyun, Q Pengda, Y Yilong Computer Science 44, 60-64, 2017 | 2 | 2017 |
| 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 | 2 | 2016 |
| 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 |
| 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 | 2 | 2013 |
| TVDIM: Enhancing image self-supervised pretraining via noisy text data P Qin, Y Li, K Deng, Q Wu arXiv preprint arXiv:2106.01797, 2021 | 1 | 2021 |
| 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 |
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVahvistettu sähköpostiosoite verkkotunnuksessa cs.ucsb.edu
