Investigating capsule networks with dynamic routing for text classification W Zhao, J Ye, M Yang, Z Lei, S Zhang, Z Zhao Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 501 | 2018 |
Improving automatic source code summarization via deep reinforcement learning Y Wan, Z Zhao, M Yang, G Xu, H Ying, J Wu, PS Yu Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 438 | 2018 |
A challenge dataset and effective models for aspect-based sentiment analysis Q Jiang, L Chen, R Xu, X Ao, M Yang Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 329 | 2019 |
Generative adversarial network for abstractive text summarization L Liu, Y Lu, M Yang, Q Qu, J Zhu, H Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 219 | 2018 |
Attention based LSTM for target dependent sentiment classification M Yang, W Tu, J Wang, F Xu, X Chen Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 219 | 2017 |
GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks K Lei, M Qin, B Bai, G Zhang, M Yang IEEE INFOCOM 2019-IEEE conference on computer communications, 388-396, 2019 | 210 | 2019 |
A Survey of Natural Language Generation C Dong, Y Li, H Gong, M Chen, J Li, Y Shen, M Yang ACM Computing Surveys, 2022 | 190 | 2022 |
Towards scalable and reliable capsule networks for challenging NLP applications W Zhao, H Peng, S Eger, E Cambria, M Yang ACL, 2019 | 170 | 2019 |
Galaxy: A generative pre-trained model for task-oriented dialog with semi-supervised learning and explicit policy injection W He, Y Dai, Y Zheng, Y Wu, Z Cao, D Liu, P Jiang, M Yang, F Huang, ... Proceedings of the AAAI conference on artificial intelligence 36 (10), 10749 …, 2022 | 133 | 2022 |
Modeling relation paths for knowledge graph completion Y Shen, N Ding, HT Zheng, Y Li, M Yang IEEE Transactions on Knowledge and Data Engineering 33 (11), 3607-3617, 2020 | 128 | 2020 |
Multitask learning for cross-domain image captioning M Yang, W Zhao, W Xu, Y Feng, Z Zhao, X Chen, K Lei IEEE Transactions on Multimedia 21 (4), 1047-1061, 2018 | 126 | 2018 |
Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading K Lei, B Zhang, Y Li, M Yang, Y Shen Expert Systems with Applications 140, 112872, 2020 | 125 | 2020 |
Enhancing cross-target stance detection with transferable semantic-emotion knowledge B Zhang, M Yang, X Li, Y Ye, X Xu, K Dai Proceedings of the 58th annual meeting of the association for computational …, 2020 | 123 | 2020 |
Transition-based directed graph construction for emotion-cause pair extraction C Fan, C Yuan, J Du, L Gui, M Yang, R Xu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 112 | 2020 |
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription Y Shen, K Yuan, D Chen, J Colloc, M Yang, Y Li, K Lei Artificial intelligence in medicine 86, 20-32, 2018 | 102 | 2018 |
Multi-modal sarcasm detection via cross-modal graph convolutional network B Liang, C Lou, X Li, M Yang, L Gui, Y He, W Pei, R Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 88 | 2022 |
Investigating the transferring capability of capsule networks for text classification M Yang, W Zhao, L Chen, Q Qu, Z Zhao, Y Shen Neural Networks 118, 247-261, 2019 | 80 | 2019 |
Knowledge-aware attentive neural network for ranking question answer pairs Y Shen, Y Deng, M Yang, Y Li, N Du, W Fan, K Lei The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 79 | 2018 |
Purtreeclust: A clustering algorithm for customer segmentation from massive customer transaction data X Chen, Y Fang, M Yang, F Nie, Z Zhao, JZ Huang IEEE transactions on knowledge and data engineering 30 (3), 559-572, 2017 | 78 | 2017 |
A knowledge regularized hierarchical approach for emotion cause analysis C Fan, H Yan, J Du, L Gui, L Bing, M Yang, R Xu, R Mao Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 72 | 2019 |