Zhaoying Pan


I am a first-year PhD student in Electrical and Computer Engineering at Purdue University, advised by Prof. Wang. I worked with Prof. Andrew Owens and Daniel Geng during my master's program. Earlier, I collaborated with Jinge Ma and Yutong Xie on an explorative project, advised by Prof. Qiaozhu Mei. Before my master's program, I received my Bachelor of Engineering in Electronic and Information Engineering, from University of Chinese Academy of Sciences. During my bachelor's study, I worked with Zhiqiang Yuan under the supervision of Prof. Kun Fu and Prof. Xian Sun.

Email: zhaoyingpan@purdue.edu

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Education

UCAS
Purdue University 2023-present
Doctor of Philosophy in Electrical and Computer Engineering
Advisor: Prof. Xiaoqian Wang
UM
University of Michigan2021-2023
Master of Science in Electrical and Computer Engineering
Specialization: Computer Vision
GPA: 4.0/4.0
Advisor: Prof. Andrew Owens
UCAS
University of Chinese Academy of Sciences 2017-2021
Bachelor of Engineering in Electronic and Information Engineering
GPA: 3.59/4.0
Thesis: Image Caption Generating of High-Resolution Remote Sensing Images. (Bachelor’s Thesis with Honors)
Advisor: Prof. Kun Fu and Prof. Xian Sun

Publications

Project image
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
Zhaoying Pan*, Daniel Geng*, Andrew Owens. (equal contribution)
The Conference on Neural Information Processing Systems (NeurIPS), 2023
Paper / Code / Expand bibtex
We present a method to magnify subtle motion that can be trained without groundtruth magnified videos. Furthermore, our method is flexible to allow users only magnify specific area, or overfit on a single video for better performance.
Project image
A Prompt Log Analysis of Text-to-Image Generation Systems
Yutong Xie*, Zhaoying Pan*, Jinge Ma*, Luo Jie, Qiaozhu Mei. (equal contribution)
The ACM Web Conference (WWW), The Creative Web Track, 2023
Paper / Code /
@article{xie2023prompt,
        title={A Prompt Log Analysis of Text-to-Image Generation Systems},
        author={Xie, Yutong and Pan, Zhaoying and Ma, Jinge and Luo, Jie and Mei, Qiaozhu},
        journal={arXiv preprint arXiv:2303.04587},
        year={2023}
}

We explored the large-scale prompt logs collected from multiple text-to-image generation systems to investigate the information needs, and provided concrete implications on how to improve text-to-image generation systems for creation purposes.
Project image
Learning to Evaluate Performance of Multi-modal Semantic Localization.
Zhiqiang Yuan, Wenkai Zhang, Chongyang Li, Zhaoying Pan, Jialiang Chen, Yongqiang Mao, Shuoke Li, Hongqi Li, Xian Sun.
IEEE Transactions on Geoscience and Remote Sensing, 2022
Paper / Code /
@article{yuan2022learning,
        title={Learning to Evaluate Performance of Multi-modal Semantic Localization},
        author={Yuan, Zhiqiang and Zhang, Wenkai and Li, Chongyang and Pan, Zhaoying and Mao, Yongqiang and Chen, Jialiang and Li, Shouke and Wang, Hongqi and Sun, Xian},
        journal={arXiv preprint arXiv:2209.06515},
        year={2022}
}

We contributed test sets, evaluation metrics and baselines for evaluation of Semantic Localization (SeLo) tasks, and provided a detailed demo to use this evaluation framework.
Project image
Diffusion Model with Detail Complement for Super-resolution of Remote Sensing.
Jinzhe Liu, Zhiqiang Yuan, Zhaoying Pan, Yiqun Fu, Li Liu, Bin Lu.
Remote Sensing, 2022
Paper / Code /
@article{liu2022diffusion,
    title={Diffusion Model with Detail Complement for Super-Resolution of Remote Sensing},
    author={Liu, Jinzhe and Yuan, Zhiqiang and Pan, Zhaoying and Fu, Yiqun and Liu, Li and Lu, Bin},
    journal={Remote Sensing},
    volume={14},
    number={19},
    pages={4834},
    year={2022},
    publisher={MDPI}
}

We proposed the Diffusion Model with Detail Complement (DMDC) for the super-resolution task on remote sensing images.

Award

  • Bachelor’s Thesis with Honors, University of Chinese Academy of Sciences 2021
  • Academic Excellence Scholarship (second-class), University of Chinese Academy of Sciences 2019
  • Merit Student, University of Chinese Academy of Sciences 2018 - 2019
  • Gold Medal, Best Open Project, International Genetically Engineered Machine (iGEM) Foundation 2017 - 2018

Teaching Experience

  • 23 Fall: ECE 264 Advanced C Programming, Graduate Teaching Assistant Purdue University

Fun Facts

  • The goose images on my website, Github, and Linkedin are from a game named Untitled Goose Game! I would recommend this simple but lovely game to you.

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