Publications and Manuscripts
(feedback is welcome)
Sim, Jin-ah, Xiaolei Huang, Madeline R. Horan, Christopher M. Stewart, Leslie L. Robison, Melissa M. Hudson, Justin N. Baker, and I-Chan Huang. "Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review." Artificial Intelligence in Medicine.
Yuexin Wu, I-Chan Huang, Xiaolei Huang, Token Imbalance Adaptation for Radiology Report Generation, In Proceedings of the Conference on Health, Inference, and Learning (CHIL).
Yuexin Wu, Xiaolei Huang, A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation, In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM).
Yuexin Wu, Xiaolei Huang, Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification, In Proceedings of the Conference on Lexical and Computational Semantics (*SEM), 2022.
Xiaolei Huang, Learning to Adapt Domain Shifts of Moral Values via Instance Weighting, In Proceedings of the 33rd ACM Conference on Hypertext and Social Media (HT-22)
Xiaolei Huang, Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification, In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
Xiaolei Huang, Dernoncourt F., Dredze M. Enriching Unsupervised User Embedding via Medical Concepts, In Proceedings of the Conference on Health, Inference, and Learning (CHIL).
David A. Broniatowski, Daniel Kerchner, Fouzia Farooq, Xiaolei Huang, Amelia M. Jamison, Mark Dredze, Sandra Crouse Quinn, Twitter and Facebook posts about COVID-19 are less likely to spread misinformation compared to other health topics, PLOS ONE.
Brian Bogue-Jimenez, Xiaolei Huang, Douglas Powell, Ana Doblas, Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms, Sensors
Xiaolei Huang, Paul M.J., Burke R., Dernoncourt F., Dredze M. User Factor Adaptation for User Embedding via Multitask Learning, In Proceedings of the Second Workshop on Domain Adaptation for Natural Language Processing (Adapted-NLP).
Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul. Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. In Proceedings of the 12th Language Resources and Evaluation Conference (LREC), Marseille, France, May. 2020.
Xiaolei Huang, Jonathon May, Nanyun Peng. What Matters for Cross-Lingual Named Entity Recognition: An Empirical Analysis. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019. [20.5% acceptance]
Hyoyoung Lim, Xiaolei Huang, Samuel Miller, Joshua Edelmann, Timothy Euken, and Stephen Voida. 2019. Poster: Smart Cook: Making Cooking Easier with Multimodal Learning. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers (UbiComp/ISWC’19 Adjunct), September 9–13, 2019, London, United Kingdom.
Xiaolei Huang, Michael J. Paul. Neural temporality adaptation for document classification: Diachronic word embeddings and domain adaptation models. Association for Computational Linguistics (ACL), Florence, Italy, July 2019. [22.7% acceptance]
Xiaolei Huang, Michael J. Paul. Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics, Conference on Lexical and Computational Semantics (*SEM), Minneapolis, USA. June 2019. [33.3% acceptance]
Xiaolei Huang, Michael C. Smith, Amelia M. Jamison, David A. Broniatowski, Mark Dredze, Sandra C. Quinn, Justin Cai, Michael J. Paul. Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the US, 2013-2017. BMJ Open 9(1):e024018.
Xiaolei Huang, Lixing Liu, Kate B. Carey, Joshua Woolley, Stefan Scherer, Brian Borsari. Modeling Temporality of Human Intentions by Domain Adaptation, In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium. October 2018. [23.2% acceptance]
Django Demo (visualized by attention weights.)
Xiaolei Huang, Michael J. Paul, Examining Temporality in Document Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Melbourne, Australia. July 2018. [24% acceptance]
Xiaolei Huang, Linzi Xing, Jed R. Brubaker, Michael J. Paul. Exploring timelines of confirmed suicide incidents through social media. IEEE International Conference on Healthcare Informatics (ICHI), Park City, Utah. August 2017.
Xiaolei Huang, Michael C. Smith, Michael Paul, Dmytro Ryzhkov, Sandra Quinn, David Broniatowski, Mark Dredze. Examining Patterns of Influenza Vaccination in Social Media. AAAI Joint Workshop on Health Intelligence (W3PHIAI), San Francisco, California. February 2017.
Xiaolei Huang, Xin Li, Lei Zhang, Tianli Liu, David Chiu, Tingshao Zhu. Topic Model for Identifying Suicidal Ideation in Chinese Microblog, The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC’15), Shanghai, China. October 2015. [28.5% acceptance for oral presentation].
Xiaolei Huang, Lei Zhang, Tianli Liu, David Chiu, Tingshao Zhu, Xin Li. Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons, 11th International Conference on Ubiquitous Intelligence and Computing and the 2014 Workshop on Pervasive and Ubiquitous Data Analytics (PUDA’2014).
Lei Zhang, Xiaolei Huang, Tianli Liu, Zhenxiang Chen, Tingshao Zhu. Using linguistic features to estimate suicide probability of Chinese microblog users. International Conference on Human Centered Computing. Springer, Cham, 2014.