| Hotflip: White-box adversarial examples for text classification J Ebrahimi, A Rao, D Lowd, D Dou ACL, 2018 | 1559 | 2018 |
| On adversarial examples for character-level neural machine translation J Ebrahimi, D Lowd, D Dou COLING, 2018 | 307 | 2018 |
| Chain based RNN for relation classification J Ebrahimi, D Dou NAACL, 2015 | 101 | 2015 |
| A joint sentiment-target-stance model for stance classification in tweets J Ebrahimi, D Dou, D Lowd COLING, 2016 | 80 | 2016 |
| How Can Self-Attention Networks Recognize Dyck-n Languages? J Ebrahimi, D Gelda, W Zhang EMNLP Findings, 2020 | 76 | 2020 |
| Weakly supervised tweet stance classification by relational bootstrapping J Ebrahimi, D Dou, D Lowd EMNLP, 2016 | 71 | 2016 |
| A temporal attentional model for rumor stance classification APB Veyseh, J Ebrahimi, D Dou, D Lowd CIKM, 2017 | 46 | 2017 |
| Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph CCM Yeh, M Gu, Y Zheng, H Chen, J Ebrahimi, Z Zhuang, J Wang, ... KDD, 2022 | 29 | 2022 |
| MEE: A Novel Multilingual Event Extraction Dataset APB Veyseh, J Ebrahimi, F Dernoncourt, TH Nguyen EMNLP, 2022 | 25 | 2022 |
| Topic-aware physical activity propagation in a health social network N Phan, J Ebrahimi, D Kil, B Piniewski, D Dou IEEE intelligent systems 31 (1), 5-14, 2015 | 25 | 2015 |
| Personalized semantic word vectors J Ebrahimi, D Dou CIKM, 2016 | 9 | 2016 |
| How does adversarial fine-tuning benefit bert? J Ebrahimi, H Yang, W Zhang arXiv preprint arXiv:2108.13602, 2021 | 6 | 2021 |
| Characterizing physical activity in a health social network J Ebrahimi, NH Phan, D Dou, B Piniewski, D Kil Proceedings of the 6th International Conference on Digital Health Conference …, 2016 | 5 | 2016 |
| Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks CCM Yeh, Z Zhuang, J Wang, Y Zheng, J Ebrahimi, R Mercer, L Wang, ... CIKM, 2021 | 4 | 2021 |
| Topic-aware physical activity propagation with temporal dynamics in a health social network N Phan, J Ebrahimi, D Kil, B Piniewski, D Dou ACM Transactions on Intelligent Systems and Technology (TIST) 8 (1), 1-20, 2016 | 4 | 2016 |
| Learning from disagreement for event detection L Wang, J Wang, Y Zheng, S Jain, CCM Yeh, Z Zhuang, J Ebrahimi, ... 2022 IEEE International Conference on Big Data (Big Data), 2411-2418, 2022 | 3 | 2022 |
| System, Method, and Computer Program Product for Reducing Dataset Biases in Natural Language Inference Tasks Using Unadversarial Training M Choi, J EBRAHIMI, W Zhang US Patent App. 19/207,887, 2025 | | 2025 |
| Method, System, and Computer Program Product for Unsupervised Alignment of Embedding Spaces Y Zheng, PO Aboagye, Z Zhuang, M Yeh, J WANG, L Wang, J EBRAHIMI, ... US Patent App. 18/698,214, 2025 | | 2025 |
| System, method, and computer program product for reducing dataset biases in natural language inference tasks using unadversarial training M Choi, J EBRAHIMI, W Zhang US Patent 12,333,396, 2025 | | 2025 |
| Method and System for Adversarial Training and for Analyzing Impact of Fine-Tuning on Deep Learning Models J EBRAHIMI, W Zhang, H Yang US Patent App. 18/292,244, 2025 | | 2025 |
Dejing Dou (窦德景）Distinguished Professor, Fudan University/Chief Scientist, BEDI CloudVerified email at cs.uoregon.edu
