| Style transfer in text: Exploration and evaluation Z Fu, X Tan, N Peng, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 509 | 2018 |
| Explainable AI: A brief survey on history, research areas, approaches and challenges F Xu, H Uszkoreit, Y Du, W Fan, D Zhao, J Zhu Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 419 | 2019 |
| Multi-grained attention network for aspect-level sentiment classification F Fan, Y Feng, D Zhao Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 394 | 2018 |
| Semantic relation classification via convolutional neural networks with simple negative sampling K Xu, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1506.07650, 2015 | 348 | 2015 |
| Plan-and-write: Towards better automatic storytelling L Yao, N Peng, R Weischedel, K Knight, D Zhao, R Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7378-7385, 2019 | 343 | 2019 |
| Question answering on freebase via relation extraction and textual evidence K Xu, S Reddy, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 338 | 2016 |
| Natural language question answering over RDF: a graph data driven approach L Zou, R Huang, H Wang, JX Yu, W He, D Zhao Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 325 | 2014 |
| gStore: answering SPARQL queries via subgraph matching L Zou, J Mo, L Chen, MT Özsu, D Zhao Proceedings of the VLDB Endowment 4 (8), 482-493, 2011 | 319 | 2011 |
| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao arXiv preprint arXiv:1908.08210, 2019 | 288 | 2019 |
| Answering natural language questions by subgraph matching over knowledge graphs S Hu, L Zou, JX Yu, H Wang, D Zhao IEEE Transactions on Knowledge and Data Engineering 30 (5), 824-837, 2017 | 269 | 2017 |
| Learning to predict charges for criminal cases with legal basis B Luo, Y Feng, J Xu, X Zhang, D Zhao arXiv preprint arXiv:1707.09168, 2017 | 248 | 2017 |
| Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems C Tao, L Mou, D Zhao, R Yan Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 225 | 2018 |
| gStore: a graph-based SPARQL query engine L Zou, MT Özsu, L Chen, X Shen, R Huang, D Zhao The VLDB journal 23, 565-590, 2014 | 216 | 2014 |
| Knowledge-grounded dialogue generation with pre-trained language models X Zhao, W Wu, C Xu, C Tao, D Zhao, R Yan arXiv preprint arXiv:2010.08824, 2020 | 174 | 2020 |
| Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the twelfth ACM international conference on web search and …, 2019 | 147 | 2019 |
| How to make context more useful? an empirical study on context-aware neural conversational models Z Tian, R Yan, L Mou, Y Song, Y Feng, D Zhao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 144 | 2017 |
| Jointly learning entity and relation representations for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao arXiv preprint arXiv:1909.09317, 2019 | 143 | 2019 |
| Overcoming catastrophic forgetting for continual learning via model adaptation W Hu, Z Lin, B Liu, C Tao, ZT Tao, D Zhao, J Ma, R Yan International conference on learning representations, 2019 | 138 | 2019 |
| Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. C Tao, S Gao, M Shang, W Wu, D Zhao, R Yan IJCAI, 4418-4424, 2018 | 135 | 2018 |
| Processing SPARQL queries over distributed RDF graphs P Peng, L Zou, MT Özsu, L Chen, D Zhao The VLDB Journal 25, 243-268, 2016 | 130 | 2016 |
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
