About Me

I am a Ph.D. candidate, advised by Prof. We Ai at College of Information Studies of the University of Maryland, College Park. I obtained my B.S. in Data Science from University of Michigan and another B.S. in Electrical Computer Engineering in Shanghai Jiaotong University in 2020.

View My Full CV here.

Research Interests

I am interested in applied areas of natural language processing such as computational social science and causal inference

I'm also interested in improving individual fairness in AI, especially for language models and GNN models.

Publications

Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai.
Emoji Promotes Developer Participation and Issue Resolution on GitHub
International AAAI Conference on Web and Social Media, 2024 (ICWSM 2024)

Yuhang Zhou^*, Suraj Maharjan^*, Beiye Liu.
Scalable Prompt Generation for Semi-supervised Learning with Language Models
Findings of EACL, 2023

Yuhang Zhou, Wei Ai.
#Emoji: A Study on the Association between Emojis and Hashtags on Twitter
International AAAI Conference on Web and Social Media, 2022 (ICWSM 2022)

Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea.
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
Transactions on Multimedia Computing Communications and Applications, 2022 (TOMM 2022)

Luke J. DeRoos, Yuhang Zhou, Wesley J. Marrero, Elliot B. Tapper, Christopher J. Sonnenday, Mariel S. Lavieri, David W. Hutton, and Neehar D. Parikh.
Assessment of National Organ Donation Rates and Organ Procurement Organization Metrics.
JAMA Surgery, 2020

Industrial Experiences

Applied Scientist Intern at Amazon Alexa AI, 2023.5 - 2023.8
Applied Scientist Intern at Amazon Alexa AI, 2022.5 - 2022.8
Research Intern at Alibaba Group, 2021.5 - 2021.8