| Hotflip: White-box adversarial examples for text classification J Ebrahimi, A Rao, D Lowd, D Dou arXiv preprint arXiv:1712.06751, 2017 | 1115 | 2017 |
| Ontology-based information extraction: An introduction and a survey of current approaches DC Wimalasuriya, D Dou Journal of Information Science 36 (3), 306-323, 2010 | 567 | 2010 |
| Differential privacy preservation for deep auto-encoders: an application of human behavior prediction NH Phan, Y Wang, X Wu, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 294 | 2016 |
| Semantic data mining: A survey of ontology-based approaches D Dou, H Wang, H Liu Proceedings of the 2015 IEEE 9th international conference on semantic …, 2015 | 261 | 2015 |
| On adversarial examples for character-level neural machine translation J Ebrahimi, D Lowd, D Dou arXiv preprint arXiv:1806.09030, 2018 | 255 | 2018 |
| Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems 64 (12), 3197-3234, 2022 | 252 | 2022 |
| Ontology translation on the semantic web D Dou, D McDermott, P Qi Journal on data semantics II, 35-57, 2005 | 231 | 2005 |
| Adaptive laplace mechanism: Differential privacy preservation in deep learning NH Phan, X Wu, H Hu, D Dou 2017 IEEE international conference on data mining (ICDM), 385-394, 2017 | 219 | 2017 |
| From distributed machine learning to federated learning: A survey J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou Knowledge and Information Systems 64 (4), 885-917, 2022 | 202 | 2022 |
| Artflow: Unbiased image style transfer via reversible neural flows J An, S Huang, Y Song, D Dou, W Liu, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 171 | 2021 |
| Ontology translation by ontology merging and automated reasoning D Dou, D McDermott, P Qi Ontologies for agents: Theory and experiences, 73-94, 2005 | 161 | 2005 |
| Calculating feature weights in naive bayes with kullback-leibler measure CH Lee, F Gutierrez, D Dou 2011 IEEE 11th International Conference on data mining, 1146-1151, 2011 | 146 | 2011 |
| Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 144 | 2021 |
| The 2020 China report of the Lancet Countdown on health and climate change W Cai, C Zhang, HP Suen, S Ai, Y Bai, J Bao, B Chen, L Cheng, X Cui, ... The Lancet Public Health 6 (1), e64-e81, 2021 | 144 | 2021 |
| Ontology translation on the semantic web D Dou, D McDermott, P Qi OTM Confederated International Conferences" On the Move to Meaningful …, 2003 | 136 | 2003 |
| Discriminative sounding objects localization via self-supervised audiovisual matching D Hu, R Qian, M Jiang, X Tan, S Wen, E Ding, W Lin, D Dou Advances in Neural Information Processing Systems 33, 10077-10087, 2020 | 134 | 2020 |
| Ontology-based deep learning for human behavior prediction with explanations in health social networks N Phan, D Dou, H Wang, D Kil, B Piniewski Information sciences 384, 298-313, 2017 | 112 | 2017 |
| Pay attention to features, transfer learn faster CNNs K Wang, X Gao, Y Zhao, X Li, D Dou, CZ Xu International conference on learning representations, 2019 | 111 | 2019 |
| Ontology-based integration for relational databases D Dou, P LePendu Proceedings of the 2006 ACM symposium on Applied computing, 461-466, 2006 | 101 | 2006 |
| Preserving differential privacy in convolutional deep belief networks NH Phan, X Wu, D Dou Machine learning 106 (9), 1681-1704, 2017 | 99 | 2017 |
Haoyi XiongMicrosoft, ex. Baidu, Missouri S&T, University of Virginia, Telecom SudParis & Paris VI在 microsoft.com 的电子邮件经过验证
