Ph.D. in Biological Systems Engineering, University of Wisconsin–Madison, 2023–Present
Minor in Computer Sciences; Advisor: Prof. Zhou Zhang
Xiaoyu Wang (pronounced "shaw yoo")Ph.D. Student in Biological Systems Engineering
University of Wisconsin–Madison Google Scholar Resume (Aug. 2026) GitHub LinkedIn |
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I am a Ph.D. student in Biological Systems Engineering at the University of Wisconsin–Madison, advised by Prof. Zhou Zhang, with a minor in Computer Sciences. I received my B.S. in Computer Science and Technology from Xi'an Jiaotong University.
My research focuses on geospatial AI, remote sensing, and knowledge-guided machine learning for agricultural and environmental systems. I am particularly interested in connecting scientific knowledge and multimodal data with deployable machine learning systems, from crop-yield modeling to interactive geospatial tools.
Ph.D. in Biological Systems Engineering, University of Wisconsin–Madison, 2023–Present
Minor in Computer Sciences; Advisor: Prof. Zhou Zhang
Graduate Study in Computing and Information Sciences, Rochester Institute of Technology, 2022–2023
B.S. in Computer Science and Technology, Xi'an Jiaotong University, 2017–2021
Graduate Research Assistant, University of Wisconsin–Madison, Jan. 2023–Present
Supervised by Prof. Zhou Zhang.
Research on geospatial machine learning and crop-yield prediction. Developed and deployed a full-stack cyber-agricultural platform for publishing interactive county-level predictions ahead of USDA NASS releases.
web tool
code
Research Intern, Microsoft Research Asia, Media Computing Group, Apr. 2021–Apr. 2022
Supervised by Xiangyu Kong and Xiulian Peng.
Developed a multimodal multi-correlation framework for audio-visual speech separation using contrastive and adversarial learning; published a first-author paper at Interspeech 2022.
paper
slides
talk
Research Intern, SenseTime, Autonomous Driving Group, Sep. 2020–Mar. 2021
Supervised by Guohang Yan and Tao Ma.
Implemented calibration workflows among LiDAR, radar, and camera sensors for OpenCalib, and trained a deep learning model for automated calibration-quality assessment.
project
Remote Research Intern, Nanyang Technological University, Jun.–Sep. 2020
Supervised by Tao Bai and Jun Zhao.
Developed a data-free method for targeted universal adversarial perturbations and extended it to federated-learning settings; published a first-author paper at SciSec 2021.
paper
Research Intern, INNNO, Jun. 2019–Feb. 2020
Built a remote-sensing change-detection pipeline for drone imagery using image alignment, synthetic change pairs, and semantic segmentation. code
Research Assistant, College of Artificial Intelligence, Xi'an Jiaotong University, Jan.–Sep. 2019
Supervised by Jinjun Wang.
Developed Distributed Generative Adversarial Net for privacy-aware, decentralized generative modeling and released the work as a first-author preprint.
paper
Research Assistant, Xi'an Jiaotong University, Oct. 2017–2018
Supervised by Jinsong Han.
Conducted research on computer security and deep learning.
Zezhong Tian, Jiahao Fan, Tong Yu, Xiaoyu Wang, Mingda Wu, Natalia de Leon, Shawn M. Kaeppler, and Zhou Zhang
Computers and Electronics in Agriculture, vol. 250, article 111946, 2026.
paperXiaoyu Wang, Yuchi Ma, Yijia Xu, Qunying Huang, Zhengwei Yang, and Zhou Zhang
International Journal of Remote Sensing, vol. 46, no. 7, pp. 2815–2845, 2025.
paper poster slidesSatellite-Based Mapping of Crop Yield
Yuchi Ma, Shuo Chen, Xiaoyu Wang, Zhou Zhang, Zhengwei Yang, Qunying Huang, Xinghua Cheng, and Gengchen Mai
Agricultural Applications of Earth Observation, Chapter 7, pp. 193–230, Elsevier, 2026.
chapterCounty-Level Crop Yield Prediction Using SMAP-Derived Data Products and Deep Learning Model
Zhengwei Yang, Xiaoyu Wang, Jingyi Huang, and Zhou Zhang
IEEE International Geoscience and Remote Sensing Symposium, pp. 3222–3225, 2024.
paperMulti-Modal Multi-Correlation Learning for Audio-Visual Speech Separation
Xiaoyu Wang, Xiangyu Kong, Xiulian Peng, and Yan Lu
Interspeech, pp. 886–890, 2022.
paper slides talk posterA Data-Free Approach for Targeted Universal Adversarial Perturbation
Xiaoyu Wang, Tao Bai, and Jun Zhao
Science of Cyber Security, pp. 126–138, 2021.
paperXiaoyu Wang, Yijia Xu, Jingyi Huang, Zhengwei Yang, and Zhou Zhang
arXiv:2503.16328, 2025.
paper slidesDistributed Generative Adversarial Net
Xiaoyu Wang, Ye Deng, and Jinjun Wang
arXiv:1911.08128, 2019.
paperI enjoy weightlifting, powerlifting, and bodybuilding. Weightlifting gallery