Publications

2020
  • NhatHai Phan, My Thai, Han Hu, Ruoming Jin, Tong Sun, and Dejing Dou 2020. "Scalable Differential Privacy with Certified Robustness in Adversarial Learning." (To appear) Proceedings of 37th International Conference on Machine Learning (ICML 2020), July, 2020.
  • Sabin Kafle, Nisansa de Silva, and Dejing Dou 2020. "An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering." (Accepted by) Information Systems Frontiers, 2020.
  • Amir Veyseh, Franck Dernoncourt, Dejing Dou, and Thien Nguyen 2020. "Exploiting the Syntax-Model Consistency for Neural Relation Extraction." (To appear) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) (long paper), July, 2020.
  • Amir Veyseh, Franck Dernoncourt, My Thai, Dejing Dou, Thien Huu Nguyen 2020. "Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction." (To appear) Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). (Oral Presentation). February, 2020.
  • Xiao Zhang, Dejing Dou, and Ji Wu 2020. "Learning Conceptual-Contextual Embeddings for Medical Text." (To appear) Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). February, 2020.
  • Amir Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen 2020. "A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency." (To appear) Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020). February, 2020.
2019
2018