Uncertainty Quantification on Graph Learning: A Survey
Chen, C., Guo, C., Xu, R., Liao, X., Zhang, X., Xie, S., ... & Yu, P. (2024). Uncertainty Quantification on Graph Learning: A Survey. arXiv preprint arXiv:2404.14642.
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Wasserstein-Regularized Conformal Prediction under General Distribution Shift
Xu, Rui, et al. "Wasserstein-regularized Conformal Prediction under General Distribution Shift." arXiv preprint arXiv:2501.13430 (2025).
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams