Scholar
Zihang Xiang
Google Scholar ID: A7N2C0kAAAAJ
University of California, Los Angeles (UCLA)
Citations & Impact
Citations
209
H-index
8
i10-index
8
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Revisiting Differentially Private Hyper-parameter Tuning' at NDSS'26
- Published 'Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run' at USENIX Security'25
- Published 'Preserving Node-level Privacy in Graph Neural Networks' at IEEE S&P'24; finalist in CSAW'24 Applied Research Competition
- Published 'A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction' at IEEE S&P'23 (co-first author)
- Published 'Practical Differentially Private and Byzantine-resilient Federated Learning' at SIGMOD'23
- Published works on privacy-preserving sparse generalized eigenvalue problems at AISTATS'23 and TKDE'23 (co-first author)
- Co-authored a paper in Science Advances (2024) on privacy-preserving federated learning for omic data
- Served as (sub-)reviewer for AISTATS'2025, CCS (2024, 2023), NDSS'2023, PETS'2023, ICML'2023, IEEE-TNNLS
