I'm an assistant professor at University of Memphis. I obtained Ph.D. in Information Science (advised by Dr. Michael J. Paul and Prof. Robin Burke) @ the University of Colorado Boulder. Previously, I graduated from the Chinese Academy of Sciences with MSc. in Computer Science.
My current research interest is in domain adaptation, user modeling & transfer learning, with applications in health informatics. For example, I modeled and analyzed public health issues (flu vaccination services and mental health) via social media. I also had some experience in cross-lingual transfer learning of low resourced languages.
In my free time (due to COVID-19, the volunteering activities have stopped for years), I enjoy hiking and doing volunteering works. I volunteered in YMCA, One Heartland, local nursing house & HIV organization, etc. I love cooking and traveling.
Email me if you plan to work with me.
Top 5 News:
2022 - 08 Our paper "GVN: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation" has been accepted by Conference on Information and Knowledge Management (CIKM).
2022 - 06 I have received the Ralph E. Powe Junior Faculty Enhancement Award.
2022 - 05 My student Yuexin Wu got her first paper "Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification" accepted at *SEM 2022.
2022 - 04 Our Paper "Learning to Adapt Domain Shifts of Moral Values via Instance Weighting" has been accepted by HyperText 2022.
2022 - 04 Our Paper "Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification" has been accepted by NAACL 2022.
2022 - 03 Our paper "Enriching Unsupervised User Embedding via Medical Concepts" has been accepted by Conference on Health, Inference, and Learning (CHIL).
2022 - 02 I will serve in an NSF reviewing panel.
2022 - 01 I have received an award from West Cancer Foundation to promote health equity. Thanks!
2022 - 01 Our paper "Twitter and Facebook posts about COVID-19 are less likely to spread misinformation compared to other health topics" has been accepted by PLOS ONE.
2021 - 12 (pin) We will organize User-NLP 2022 colocate with WWW-22 online~ Please consider submitting your paper.
2021 - 10 Community of Research Scholars (CoRS) Award from the University of Memphis.
2021 - 09 I have received a research gift from Adobe Research * 4 times. Thanks!
2021 - 02 Paper of "User Factor Adaptation for User Embedding via Multitask Learning" was accepted by Adapt-NLP 2021.
2020 - 11 I have successfully defended my dissertation, Metadata Matters: Adaptation Methods for Robust Document Classification. [Thesis Link]
2020 - 10 I will join University of Memphis, Department of Computer Science as an assistant professor starting in Jan 2021.
2020 - 06 I have won Outstanding Research Assistant Award (AY 19-20) at the University of Colorado Boulder.
2020 - 05 I will join Amazon Lab 126 as a (remote) summer intern.
2020 - 04 We have released a Twitter dataset of COVID-19 with automatically annotated entities (keywords and location). We keep updating the data.
2020 - 02 Paper of "Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition" was accepted by LREC 2020.
2020 - 01 Visiting Johns Hopkins University. Hosted by Prof. Mark Dredze. Hope to have collaborations in health related projects.
A sentiment analysis dataset that contains user demographic information (gender and age) that could potentially be used for author-level debiasing and fairness evaluation. Over 1 M documents & 800K user entries.
A COVID-19 Twitter dataset.
The GW Hatchet, "Credible COVID-19 social media posts more common than misinformation"
"The Hill" reported our recent work on COVID-19: New study investigates early claims of COVID-19 'infodemic'.
Online Pandemic Fretting Has a Public Health Upside, Medical Daily, by Maureen Salamon, 11-20-2020