Status
I am on leave for the Academic Year of 2020-2021, serving as a
Program Director at the National Science Foundation.
Research Interests
Natural language processing, machine learning,
artificial intelligence, and human computer interaction.
Recent Publications
Meiqi Guo, Rebecca Hwa, Adriana Kovashka. 2021. Detecting Persuasive
Atypicality by Modeling Contextual Compatibility. To appear in
Proceedings of the IEEE/CVF International Conference on Computer
Vision (ICCV-2021).
Mingda Zhang, Tristan Maidment, Ahmed Diab, Adriana Kovashka, Rebecca Hwa. 2021. Domain-Robust VQA with Diverse Datasets and Methods but No Target Labels. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane Litman, Rebecca Hwa, and Amanda Godley. 2021. Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. To appear in the Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI '21).
Carter Burn, Frederick L. Crabbe and Rebecca Hwa. 2021. Let's Do the Time Warp Again: Human Action Assistance for Reinforcement Learning Agents. In the Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, pages 92-100.
Meiqi Guo, Rebecca Hwa, Yu-Ru Lin and Wen-Ting Chung. 2020. Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models. In the Proceedings of The 28th International Conference on Computational Linguistics (COLING-2020).
Omid Kashefi and Rebecca Hwa. 2020. Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation. In The 6th Workshop on Noisy User-generated Text (W-NUT).
Muheng Yan, Yu-Ru Lin, Rebecca Hwa, Ali Mert Ertugrul, Meiqi Guo, and Wen-Ting Chung. 2020. MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis. In the Proceedings of the Fourteenth International AAAI Conference on Web and Social Media (ICWSM-2020).
Mingda Zhang, Tristan Maidment, Ahmed Diab, Adriana Kovashka, Rebecca Hwa. 2021. Domain-Robust VQA with Diverse Datasets and Methods but No Target Labels. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane Litman, Rebecca Hwa, and Amanda Godley. 2021. Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. To appear in the Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI '21).
Carter Burn, Frederick L. Crabbe and Rebecca Hwa. 2021. Let's Do the Time Warp Again: Human Action Assistance for Reinforcement Learning Agents. In the Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, pages 92-100.
Meiqi Guo, Rebecca Hwa, Yu-Ru Lin and Wen-Ting Chung. 2020. Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models. In the Proceedings of The 28th International Conference on Computational Linguistics (COLING-2020).
Omid Kashefi and Rebecca Hwa. 2020. Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation. In The 6th Workshop on Noisy User-generated Text (W-NUT).
Muheng Yan, Yu-Ru Lin, Rebecca Hwa, Ali Mert Ertugrul, Meiqi Guo, and Wen-Ting Chung. 2020. MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis. In the Proceedings of the Fourteenth International AAAI Conference on Web and Social Media (ICWSM-2020).
Advising
PhD Students
- Meiqi Guo
- Omid Kashefi
- Mingda Zhang (Co-Advising with Prof. Adriana Kovashka)
- Changsheng Liu (2019) Now at Facebook.
- Homa B. Hashemi (2017) Now at Microsoft.
- Huichao Xue (2015) Now at LinkedIn.
- Behrang Mohit (2009) Now at Apple Siri-Search.