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Xiaoyan Zhang


I am a recent graduate from Anhui University. In 2023, I participated in a summer program at Nanyang Technological University, Singapore, which broadened my international academic experience. Since Fall 2024, I have been collaborating with the Video and Image Processing Laboratory (VIPER), where I work on image understanding and intelligent food analysis. In Spring 2026, I will continue my studies at the University of Michigan, focusing on data-centric modeling and visual analysis.

My research interests include visual recognition, food understanding, and health-related domains.

Email: wa2114214 AT stu.ahu.edu.cn

Google Scholar

Xiaoyan Zhang Picture

Education

AHU
Anhui University 2021-2025
Bachelor of Engineering
GPA: 4.34/5.00, Rank: 1/251

Publications

Project image
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He, Xiaoyan Zhang, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu.
IEEE Transactions on Multimedia (TMM)
Paper /
@misc{he2025longtailedcontinuallearningvisual,
                        title={Long-Tailed Continual Learning For Visual Food Recognition}, 
                        author={Jiangpeng He and Xiaoyan Zhang and Luotao Lin and Jack Ma and Heather A. Eicher-Miller and Fengqing Zhu},
                        year={2025},
                        eprint={2307.00183},
                        archivePrefix={arXiv},
                        primaryClass={cs.CV},
                        url={https://arxiv.org/abs/2307.00183}, 
                  }

We provide the VFN186 dataset, along with a novel framework that enhances generalization on long-tailed food distribution using knowledge distillation and a CAM-CutMix-based augmentation technique.
Project image
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds (Oral)
Jinge Ma, Xiaoyan Zhang, Gautham Vinod, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu.
International Conference on Pattern Recognition (ICPR) MADiMa workshop, 2024
Paper /
@article{ma2024mfp3d,
                      title={MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds},
                      author={Ma, Jinge and Zhang, Xiaoyan and Vinod, Gautham and Raghavan, Siddeshwar and He, Jiangpeng and Zhu, Fengqing},
                      journal={arXiv preprint arXiv:2411.10492},
                      year={2024}
                  }

We propose MFP3D, a new framework for accurate food portion estimation from a single image. It uses 3D reconstruction and feature extraction to estimate food volume and energy content, showing improved accuracy on the MetaFood3D dataset compared to existing approaches.
Project image
Learning Frequency and Structure in UDA for Medical Object Detection
Liwen Wang, Zhang Xiaoyan, et al.
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024
Paper /
@InProceedings{10.1007/978-981-97-8496-7_36, author="Wang, Liwen and Zhang, Xiaoyan and He, Guannan and Tan, Ying and Li, Shengli and Pu, Bin and Jin, Zhe and Sha, Wen and Dong, Xingbo",
                    editor="Lin, Zhouchen and Cheng, Ming-Ming and He, Ran and Ubul, Kurban and Silamu, Wushouer and Zha, Hongbin and Zhou, Jie and Liu, Cheng-Lin",
                    title="Learning Frequency and Structure in UDA for Medical Object Detection",
                    booktitle="Pattern Recognition and Computer Vision",
                    year="2025",
                    publisher="Springer Nature Singapore",
                    address="Singapore",
                    pages="518--532"
                    }

We proposed a framework for cross-domain imaging structure analysis to address domain gaps between different data sources.

Awards

  • Outstanding Graduate of Anhui Province, Ministry of Education of Anhui Province 2025
  • Pacemaker to Merit Student, Anhui University 2022, 2023, 2024
  • Merit Student, Anhui University 2022, 2023, 2024
  • Song Qingling Future Scholarship (0.05%), The China Song Qingling Foundation 2024
  • Provincial Second Prize in China Undergraduate Mathematical Contest in Modeling, China Society for Industrial and Applied Mathematics 2024
  • Excellent Student Scholarship, Anhui University 2023
  • Provincial Silver Award in China International College Students’ Innovation Competition, Ministry of Education of Anhui Province 2023