| 2023 | PAKDD | bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. | Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao |
| 2023 | WSDM | Learning Stance Embeddings from Signed Social Graphs. | John Pougu-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky |
| 2022 | KDD | Graph-based Representation Learning for Web-scale Recommender Systems. | Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi |
| 2022 | KDD | TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. | Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofa Samaniego, Ying Xiao, Aria Haghighi |
| 2022 | NAACL | CTM - A Model for Large-Scale Multi-View Tweet Topic Classification. | Vivek Kulkarni, Kenny Leung, Aria Haghighi |
| 2021 | EMNLP | LMSOC: An Approach for Socially Sensitive Pretraining. | Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi |
| 2020 | SIGMOD | Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications. | Yan Yan, Stephen Meyles, Aria Haghighi, Dan Suciu |
| 2011 | ACL | Event Discovery in Social Media Feeds. | Edward Benson, Aria Haghighi, Regina Barzilay |
| 2011 | ACL | Ordering Prenominal Modifiers with a Reranking Approach. | Jenny Liu, Aria Haghighi |
| 2011 | ACL | Content Models with Attitude. | Christina Sauper, Aria Haghighi, Regina Barzilay |
| 2011 | CoNLL | Modeling Syntactic Context Improves Morphological Segmentation. | Yoong Keok Lee, Aria Haghighi, Regina Barzilay |
| 2011 | EMNLP | Structured Relation Discovery using Generative Models. | Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew McCallum |
| 2010 | ACL | An Entity-Level Approach to Information Extraction. | Aria Haghighi, Dan Klein |
| 2010 | EMNLP | Simple Type-Level Unsupervised POS Tagging. | Yoong Keok Lee, Aria Haghighi, Regina Barzilay |
| 2010 | EMNLP | Incorporating Content Structure into Text Analysis Applications. | Christina Sauper, Aria Haghighi, Regina Barzilay |
| 2010 | NAACL | Coreference Resolution in a Modular, Entity-Centered Model. | Aria Haghighi, Dan Klein |
| 2009 | ACL | Better Word Alignments with Supervised ITG Models. | Aria Haghighi, John Blitzer, John DeNero, Dan Klein |
| 2009 | EMNLP | Simple Coreference Resolution with Rich Syntactic and Semantic Features. | Aria Haghighi, Dan Klein |
| 2009 | NAACL | Exploring Content Models for Multi-Document Summarization. | Aria Haghighi, Lucy Vanderwende |
| 2008 | ACL | Learning Bilingual Lexicons from Monolingual Corpora. | Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein |
| 2008 | EMNLP | Coarse-to-Fine Syntactic Machine Translation using Language Projections. | Slav Petrov, Aria Haghighi, Dan Klein |
| 2008 | ICML | Fully distributed EM for very large datasets. | Jason Andrew Wolfe, Aria Haghighi, Dan Klein |
| 2007 | AAAI | A* Search via Approximate Factoring. | Aria Haghighi, John DeNero, Dan Klein |
| 2007 | ACL | Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. | Aria Haghighi, Dan Klein |
| 2007 | NAACL | Approximate Factoring for A* Search. | Aria Haghighi, John DeNero, Dan Klein |
| 2006 | ACL | Prototype-Driven Grammar Induction. | Aria Haghighi, Dan Klein |
| 2006 | NAACL | Prototype-Driven Learning for Sequence Models. | Aria Haghighi, Dan Klein |
| 2005 | ACL | Joint Learning Improves Semantic Role Labeling. | Kristina Toutanova, Aria Haghighi, Christopher D. Manning |
| 2005 | CoNLL | A Joint Model for Semantic Role Labeling. | Aria Haghighi, Kristina Toutanova, Christopher D. Manning |
| 2005 | NAACL | Robust Textual Inference via Graph Matching. | Aria Haghighi, Andrew Y. Ng, Christopher D. Manning |