Xiyang Hu
Xiyang Hu (pronunciation: “SHEE-yung HOO”, 胡曦阳 in Chinese) is currently a Research Scientist at Tiktok. He got his Ph.D. in Information Systems at Carnegie Mellon University, M.Sc. in Statistical Science from Duke University, and B.Arch. in Architecture with a minor in Computer Science from Tsinghua University.
We are hiring at Tiktok!
- Please check this referral link (Campus Hire) for all kinds of exciting opportunities!
- Please check this referral link (Experienced Hire) for all kinds of exciting opportunities!
- If you are interested in AI Research and have publications in top-tier AI venues, check out our Research Scientist positions!
- If you are PhD student, check out our Student Researcher positions, which can be done part-time and remote during semesters – great opportunity to leverage our resources to realize your research ideas and publish papers!
I am committed to promoting Diversity, Equity, and Inclusion in my work, teaching, and collaborations.
Research Interests
- Foundation Models
- Human-Centered AI
- Data-Centric ML
- Out of Distribution Detection
- Natural Language Processing
- Open-Source
Professional Services
Area Chair: ICML
Program Committee and/or Reviewer: ACL(2024), MS, TKDE, 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
- 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
Jan 18, 2022 | Excited to release the first comprehensive open-sourced graph outlier detection library – PyGOD. |
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selected publications
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NeurIPSADGym: Design Choices for Deep Anomaly DetectionAdvances in Neural Information Processing Systems 2023
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preprintInclusive Decision Making via Contrastive Learning and Domain AdaptationMIS Quarterly (Under Major Revision) 2023
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preprint