Junyi Wu (吴俊毅)'s Homepage

Short Bio

I am a Ph.D. student in Computer Science advised by Prof. Yan Yan at Illinois Institute of Technology since 2023 Spring. Before that, I received my bachelor’s degree in Mathematics (Information and Computing Science) from Sun Yat-sen University in 2022.

My research focuses on building effective, explainable, and efficient machine learning systems.

News

[July 2024] One paper about dataset quantization accepted to ECCV 2024.
[Feb 2024] Two papers about transformer explainability accepted to CVPR 2024.

Publications [Google Scholar]

ECCV 2024

Dataset Quantization with Active Learning based Adaptive Sampling

Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan

European Conference on Computer Vision (ECCV), 2024.
arXiv

PTQ4DiT: Post-training Quantization for Diffusion Transformers

Junyi Wu*, Haoxuan Wang*, Yuzhang Shang, Mubarak Shah, Yan Yan

arXiv, May 2024.
arXiv

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning

Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan

arXiv, Feb. 2024.
CVPR 2024

Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer

Junyi Wu, Bin Duan, Weitai Kang, Hao Tang, Yan Yan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
CVPR 2024

On the Faithfulness of Vision Transformer Explanations

Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Teaching

Teaching Assistant, CS 577: Deep Learning, Illinois Institute of Technology, 2023 Fall

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