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2020 – today
- 2022
[c15]Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain
, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. IEEE Big Data 2022: 2411-2418- [c14]Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, Thien Huu Nguyen:
MEE: A Novel Multilingual Event Extraction Dataset. EMNLP 2022: 9603-9613 - [c13]Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD 2022: 4391-4401 - [i7]Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR abs/2208.05648 (2022) - [i6]Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, Thien Huu Nguyen:
MEE: A Novel Multilingual Event Extraction Dataset. CoRR abs/2211.05955 (2022) - 2021
- [c12]Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CIKM 2021: 4331-4340 - [i5]Javid Ebrahimi, Hao Yang, Wei Zhang:
How Does Adversarial Fine-Tuning Benefit BERT? CoRR abs/2108.13602 (2021) - [i4]Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CoRR abs/2109.10020 (2021) - 2020
- [c11]Javid Ebrahimi, Dhruv Gelda, Wei Zhang:
How Can Self-Attention Networks Recognize Dyck-n Languages? EMNLP (Findings) 2020: 4301-4306 - [i3]Javid Ebrahimi, Dhruv Gelda, Wei Zhang:
How Can Self-Attention Networks Recognize Dyck-n Languages? CoRR abs/2010.04303 (2020)
2010 – 2019
- 2018
- [c10]Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou:
HotFlip: White-Box Adversarial Examples for Text Classification. ACL (2) 2018: 31-36 - [c9]Javid Ebrahimi, Daniel Lowd, Dejing Dou:
On Adversarial Examples for Character-Level Neural Machine Translation. COLING 2018: 653-663 - [i2]Javid Ebrahimi, Daniel Lowd, Dejing Dou:
On Adversarial Examples for Character-Level Neural Machine Translation. CoRR abs/1806.09030 (2018) - 2017
- [c8]Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd:
A Temporal Attentional Model for Rumor Stance Classification. CIKM 2017: 2335-2338 - [i1]Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou:
HotFlip: White-Box Adversarial Examples for NLP. CoRR abs/1712.06751 (2017) - 2016
- [j2]NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou:
Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intell. Syst. 31(1): 5-14 (2016) - [j1]NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou:
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Trans. Intell. Syst. Technol. 8(1): 2:1-2:20 (2016) - [c7]Javid Ebrahimi, Dejing Dou:
Personalized Semantic Word Vectors. CIKM 2016: 1925-1928 - [c6]Javid Ebrahimi, Dejing Dou, Daniel Lowd:
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. COLING 2016: 2656-2665 - [c5]Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
Characterizing Physical Activity in a Health Social Network. Digital Health 2016: 123-129 - [c4]Javid Ebrahimi, Dejing Dou, Daniel Lowd:
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. EMNLP 2016: 1012-1017 - 2015
- [c3]Javid Ebrahimi, Dejing Dou:
Chain Based RNN for Relation Classification. HLT-NAACL 2015: 1244-1249 - 2012
- [c2]Javid Ebrahimi, Mohammad Saniee Abadeh:
Semi Supervised Clustering: A Pareto Approach. MLDM 2012: 237-251 - [c1]Javid Ebrahimi, Mohammad Saniee Abadeh:
A New Parametric Estimation Method for Graph-based Clustering. TextGraphs@ACL 2012: 1-5
Coauthor Index
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