Xiaolei Huang

Orcid: 0000-0003-0478-8715

Affiliations:
  • University of Memphis, Memphis, TN, USA


According to our database1, Xiaolei Huang authored at least 74 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Time Matters: Examine Temporal Effects on Biomedical Language Models.
CoRR, 2024

Length-Aware Multi-Kernel Transformer for Long Document Classification.
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.
Artif. Intell. Medicine, December, 2023

Token Imbalance Adaptation for Radiology Report Generation.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms.
Sensors, 2022

UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Adapt Domain Shifts of Moral Values via Instance Weighting.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enriching Unsupervised User Embedding via Medical Concepts.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2021
User Factor Adaptation for User Embedding via Multitask Learning.
CoRR, 2021

2020
Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

Coronavirus Twitter Data: A collection of COVID-19 tweets with automated annotations.
Dataset, March, 2020

The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda.
CoRR, 2020

Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Smart cook: making cooking easier with multimodal learning.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Modeling Temporality of Human Intentions by Domain Adaptation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Examining Temporality in Document Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Exploring Timelines of Confirmed Suicide Incidents Through Social Media.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Examining Patterns of Influenza Vaccination in Social Media.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Topic Model for Identifying Suicidal Ideation in Chinese Microblog.
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

2014
Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons.
Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014


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