HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
Cai T, Jiang Y, Li M, et al. HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks[C]//Forty-second International Conference on Machine Learning.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
Cai, T., Jiang, Y., Li, M., Huang, C., Wang, Y., & Huang, Q. (2025). ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 39(15), 15650-15658. https://doi.org/10.1609/aaai.v39i15.33718.
Out-of-Distribution Detection on Graphs: A Survey
Cai, T.; Jiang, Y.; Liu, Y; Li, M.; Huang, C.; and Pan, S. 2025. Out-of-Distribution Detection on Graphs: A Survey. In arXiv: 2502.08105.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Paper Title Number 1
at Journal 1,
Teaching
Service and leadership
- Currently signed in to 43 different slack teams