Ping Zhang

About

I'm a Ph.D. student at Boston University. My advisor is Prof. Wei-Lun Chao. I'm interested in how models learn representations, and how machine learning can help us study scientific problems.

Post

Be your own best audience

18 May 2026

MultiKDE.jl: A lazy evaluation multivariate kernel density estimator

22 June 2021

Publication

* Equal contribution.

Conference

Lessons and open questions from a unified study of camera-trap species recognition over time

S. Jeon^*, H. Tian^*, L. Wang^*, Z. Mai, V. Bakshi, J. Hou, P. Zhang, A. Chowdhury, J. Gu, W.-L. Chao

ECCV 2026

Revisiting semi-supervised learning in the era of foundation models

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

NeurIPS 2025

Lessons and insights from a unifying 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 process

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

NeurIPS 2021

Preprint

Representing short-term movement to reveal animal identity and learning progress

P. Zhang^*, Q.-H. Nguyen^*, Y. Lei^*, S. Shridhar, Z. Leveroni, E. Quattrocchi, J. Y. Yu, W.-L. Chao

arXiv (2026)

Ontic state recovery through prediction

P. Zhang, Q.-H. Nguyen, Y. Lei, W.-L. Chao

arXiv (2026)

MathGen: Revealing the illusion of mathematical competence through text-to-image generation

R. Liu^*, H. Shen^*, P. Zhang^*, Y. Hsieh, Y. Zhang, J. Xu, Q. Han, J. Li, J. Lu, J. Ma, J. Mo, S. Chen, Z. Zhang, Z. Wan, J. Xiong, X. Wang, Z. Liu, H. Cao, N. Wong

arXiv (2026)

MMSpec: Benchmarking speculative decoding for vision-language models

H. Shen^*, X. Wang^*, P. Zhang^*, Y. Hsieh, Q. Han, Z. Wan, Z. Zhang, J. Zhang, J. Xiong, Z. Liu, Y. Zhang, H. Cao, C. Zhao, M. Zhang

arXiv (2026)

Survey

Speculative decoding for multimodal models: A survey

Y. Zhang^*, Y. Wang^*, Y. Hsieh, X. Wang, P. Zhang, Z. Yang, J. Ma, Z. Zhao, B. Zheng, H. T. U. Chan, J. Li, X. Liu, K. Gao, R. Liu, J. Zhang, J. Li, Z. Wan, Z. Zhang, J. Xiong, S. Zhu, H. Cao, H. Shen

Preprints.org (2026)

Thesis

A summary and empirical analysis of coresets and data selection approaches for compute-efficient training and social network

P. Zhang

The University of Texas at Dallas (2022)