About

I'm a Ph.D. student at The Ohio State University. My advisor is Prof. Wei-Lun Chao. I explore deep learning algorithms where evidence leaves the world unresolved, and I study the theory of what can still be learned there.

Post

Be your own best audience

18 May 2026

The extended shape of mind

26 April 2026

MultiKDE.jl: A lazy evaluation multivariate kernel density estimator

22 June 2021

Publication

Revisiting semi-supervised learning in the era of foundation models

P. Zhang, Z. Mai, Q.-H. Nguyen, W.-L. Chao

NeurIPS 2025

Lessons learned from a unifying empirical study of parameter-efficient fine-tuning (PEFT) in visual recognition

Z. Mai, P. Zhang, C.-H. Tu, H.-Y. Chen, Q.-H. Nguyen, L. Zhang, W.-L. Chao

CVPR 2025

Fine-tuning is fine, if calibrated

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

NeurIPS 2024

Learning to select exogenous events for marked temporal point processes

P. Zhang, R. Iyer, A. Tendulkar, G. Aggarwal, A. De

NeurIPS 2021