About Me

I'm a second-year Ph.D. student in the Department of Computer Science at The Ohio State University. My advisor is Prof. Wei-Lun (Harry) Chao. My research interests lie in developing modern machine learning algorithms robust to distribution shifts.

Publications

* Equal contribution

P. Zhang*, Z. Mai*, Q.-H. Nguyen, W.-L. Chao, Revisiting Semi-Supervised Learning in the Era of Foundation Models,
arXiv

Z. Mai, P. Zhang, C.-H. Tu, H.-Y. Chen, L. Zhang, W.-L. Chao, Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition,
CVPR 2025

Z. Mai*, A. Chowdhury*, P. Zhang*, C.-H. Tu, H.-Y. Chen, V. Pahuja, T. Berger-Wolf, S. Gao, C. Stewart, Y. Su, W.-L. Chao, Fine-Tuning is Fine, if Calibrated,
NeurIPS 2024

P. Zhang, R. Iyer, A. Tendulkar, G. Aggarwal, A. De, Learning to Select Exogenous Events for Marked Temporal Point Processes,
NeurIPS 2021