Robust distant supervision relation extraction via deep reinforcement learning P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09927, 2018 | 283 | 2018 |
DSGAN: Generative adversarial training for distant supervision relation extraction P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09929, 2018 | 193 | 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 | 158 | 2019 |
An empirical convolutional neural network approach for semantic relation classification P Qin, W Xu, J Guo Neurocomputing 190, 1-9, 2016 | 100 | 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 | 87 | 2020 |
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 | 60 | 2024 |
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 | 60 | 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 | 57 | 2019 |
A novel negative sampling based on TFIDF for learning word representation P Qin, W Xu, J Guo Neurocomputing 177, 257-265, 2016 | 49 | 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 | 36 | 2017 |
Prompt switch: Efficient clip adaptation for text-video retrieval C Deng, Q Chen, P Qin, D Chen, Q Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30 | 2023 |
Decouple before interact: Multi-modal prompt learning for continual visual question answering Z Qian, X Wang, X Duan, P Qin, Y Li, W Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
Large model based referring camouflaged object detection S Cheng, GP Ji, P Qin, DP Fan, B Zhou, P Xu arXiv preprint arXiv:2311.17122, 2023 | 7 | 2023 |
Lake-red: Camouflaged images generation by latent background knowledge retrieval-augmented diffusion P Zhao, P Xu, P Qin, DP Fan, Z Zhang, G Jia, B Zhou, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 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 |
Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning X Zhang, H Wen, J Wu, P Qin, H Xue', L Nie Proceedings of the 32nd ACM International Conference on Multimedia, 4148-4157, 2024 | 2 | 2024 |
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 |