Xiyang Hu

Remote Work From Home 5000 Forbes Ave, Hamburg Hall, Pittsburgh, PA 15213
Xiyang Hu (pronunciation: “SHEE-yung HOO”, 胡曦阳 in Chinese) is a Ph.D. candidate in Information Systems at Carnegie Mellon University. He got his M.Sc. in Statistical Science from Duke University, and B.Arch. in Architecture with a minor in Computer Science from Tsinghua University.
I am on the job market! Please let me know any exciting opportunities!
Feel free to contact me by Email (xiyanghu AT cmu DOT edu).
I am committed to promoting Diversity, Equity, and Inclusion in my work, teaching, and collaborations.
Research Interests
- Machine/Deep Learning
- Out of Distribution Detection
- Natural Language Processing
- Social Impacts of AI
- Human-AI
- Open-Source and MLSystems
Professional Services
Program Committee and/or Reviewer: FAccT(2023), EACL(2023), KDD (2023), WITS (2022), NeurIPS (2022), ANDEA (2022), CSWIM (2022), CIST (2022), ICIS (2022), KDD (2022), AAAI (2021), CIST (2021), INFORMS (2021)
Honors & Awards
- AWS AI Amazon Research Award. March 2023.
- Best Student Paper Award Finalist. Conference on Information Systems and Technology. October 2021.
- Best Talk. AWS AI Lab Intern Workshop. August 2021.
- Spotlight Paper. Thirty-third Conference on Neural Information Processing Systems. December 2019.
news
Mar 30, 2022 |
Received AWS AI Amazon Research Award! ![]() |
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Jan 18, 2022 |
Excited to release the first comprehensive open-sourced graph outlier detection library – PyGOD. ![]() |
selected publications
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preprintInclusive FinTech Lending via Contrastive Learning and Domain AdaptationarXiv preprint arXiv:2305.05827 2023
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preprint