Javid Ebrahimi

According to our database, Javid Ebrahimi authored at least 19 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MEE: A Novel Multilingual Event Extraction Dataset.

Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning from Disagreement for Event Detection.

Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

How Does Adversarial Fine-Tuning Benefit BERT?

Javid Ebrahimi, Hao Yang, Wei Zhang

CoRR, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

How Can Self-Attention Networks Recognize Dyck-n Languages?

Javid Ebrahimi, Dhruv Gelda, Wei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

On Adversarial Examples for Character-Level Neural Machine Translation.

Javid Ebrahimi, Daniel Lowd, Dejing Dou

Proceedings of the 27th International Conference on Computational Linguistics, 2018

HotFlip: White-Box Adversarial Examples for Text Classification.

Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

HotFlip: White-Box Adversarial Examples for NLP.

Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou

CoRR, 2017

A Temporal Attentional Model for Rumor Stance Classification.

Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network.

NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou

ACM Trans. Intell. Syst. Technol., 2016

Topic-Aware Physical Activity Propagation in a Health Social Network.

NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou

IEEE Intell. Syst., 2016

Weakly Supervised Tweet Stance Classification by Relational Bootstrapping.

Javid Ebrahimi, Dejing Dou, Daniel Lowd

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Characterizing Physical Activity in a Health Social Network.

Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil

Proceedings of the 6th International Conference on Digital Health Conference, 2016

A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets.

Javid Ebrahimi, Dejing Dou, Daniel Lowd

Proceedings of the COLING 2016, 2016

Personalized Semantic Word Vectors.

Javid Ebrahimi, Dejing Dou

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Chain Based RNN for Relation Classification.

Javid Ebrahimi, Dejing Dou

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2012

A New Parametric Estimation Method for Graph-based Clustering.

Javid Ebrahimi, Mohammad Saniee Abadeh

Proceedings of TextGraphs@ACL 2012: the 7th Workshop on Graph-based Methods for Natural Language Processing, 2012

Semi Supervised Clustering: A Pareto Approach.

Javid Ebrahimi, Mohammad Saniee Abadeh

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012