| 2022 | EMNLP | MEE: A Novel Multilingual Event Extraction Dataset. | Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, Thien Huu Nguyen |
| 2022 | KDD | Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. | Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2021 | CIKM | Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. | Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang |
| 2020 | EMNLP | How Can Self-Attention Networks Recognize Dyck-n Languages? | Javid Ebrahimi, Dhruv Gelda, Wei Zhang |
| 2018 | ACL | HotFlip: White-Box Adversarial Examples for Text Classification. | Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou |
| 2018 | COLING | On Adversarial Examples for Character-Level Neural Machine Translation. | Javid Ebrahimi, Daniel Lowd, Dejing Dou |
| 2017 | CIKM | A Temporal Attentional Model for Rumor Stance Classification. | Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2016 | CIKM | Personalized Semantic Word Vectors. | Javid Ebrahimi, Dejing Dou |
| 2016 | COLING | A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. | Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2016 | EMNLP | Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. | Javid Ebrahimi, Dejing Dou, Daniel Lowd |
| 2015 | NAACL | Chain Based RNN for Relation Classification. | Javid Ebrahimi, Dejing Dou |