Javid Ebrahimi

Staff Research Scientist

Risk Modeling

Research areas:  Deep Learning, Natural Language Processing, and Graph Neural Networks

Javid Ebrahimi, Visa Research Team.

Biography

Dr. Javid Ebrahimi joined Visa Research as a Staff Research Scientist in January 2019. Javid received his Ph.D. in Computer Science from University of Oregon in 2018. His Ph.D. work focused on adversarial examples and robustness of neural networks. Prior to joining Visa, Javid was a Graduate Research Assistant at University of Oregon. As a member of the Risk Modeling team, his research interests are in deep learning, natural language processing and graph neural networks. He has published several papers in international conferences and journals, including Annual Conference of the Association for Computational Linguistics (ACL), Empirical Methods in Natural Language Processing (EMNLP), North American Chapter of the Association for Computational Linguistics (NAACL), and others.

Conferences

  • Ebrahimi, J., Rao, A., Lowd, D., & Dou, D. (2018). HotFlip: White-Box Adversarial Examples for Text Classification. Annual Meeting of the Association for Computational Linguistics, 2.
  • Ebrahimi, J., Lowd, D., & Dou, D. (2018). On Adversarial Examples for Character-Level Neural Machine Translation. ACL Anthology, 653–663.
  • Pouran, B., Veyseh, A., Ebrahimi, J., Dou, D., & Lowd, D. (2017). A Temporal Attentional Model for Rumor Stance Classification. ACM Conference on Information and Knowledge Management, 2335-2338.
  • Ebrahimi, J., Dou, D., & Lowd, D. (2016). A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. International Conference on Computational Linguistics.
  • Ebrahimi, J., Phan, N., Dou, D., Piniewski, B., & Kil, D. (2016). Characterizing Physical Activity in a Health Social Network. International Conference on Digital Health Conference. 
  • Ebrahimi, J., & Dou, D. (2016). Personalized Semantic Word Vectors. ACM International on Conference on Information and Knowledge Management.
  • Phan, N., Ebrahimi, J., Kil, D., Piniewski, B., & Dou, D. (2016). Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Transactions on Intelligent Systems and Technology, 8(1), 1–20.
  • Ebrahimi, J., Dou, D., & Lowd, D. (2016). Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. Conference on Empirical Methods in Natural Language Processing.
  • Phan, N., Ebrahimi, J., Kil, D., Piniewski, B., & Dou, D. (2016). Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intelligent Systems, 31(1), 5–14.
  • Ebrahimi, J., & Dou, D. (2015). Chain Based RNN for Relation Classification. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.