Scholar
Zhongjian Zhang
Google Scholar ID: XkeONm0AAAAJ
Ph.D. student, Beijing University of Posts and Telecommunications
Citations & Impact
Citations
65
H-index
3
i10-index
3
Publications
5
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Our paper 'Spattack' is accepted to AAAI 2025.
- Our paper 'LLM4RGNN' is accepted to KDD 2025.
- Our paper 'GraphPAR' is accepted to WWW 2024.
- Paper: 'Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?' (CCF-A), KDD’25.
- Paper: 'Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective' (CCF-A), AAAI’25.
- Paper: 'Endowing Pre-trained Graph Models with Provable Fairness' (CCF-A), WWW’24.
- Paper: 'Data-centric graph learning: A survey', IEEE TBD’24.
Research Experience
- 2024.06 - 2025.01, China Telecommunications Corporation, China; Research Intern: Financial Risk Service, Mentor: Mengmei Zhang.
Education
- PhD Student, Beijing University of Posts and Telecommunications (BUPT), supervised by Prof. Chuan Shi.
Background
- Research Interests: Trustworthy graph machine learning and large language models; Current research primarily focuses on the development of graph foundation models.
Miscellany
- Contact Information: Email: zhangzj@bupt.edu.cn; Wechat: zxc1957787636.
