About Education Experience Publications Teaching Service

Xiaoyu Wang (pronounced "shaw yoo")

Ph.D. Student in Biological Systems Engineering

University of Wisconsin–Madison
Email: xwang2696@wisc.edu


Google Scholar    Resume (Aug. 2026)    GitHub    LinkedIn


Xiaoyu Wang

About Me

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.

Education

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

Experience

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.

Publications

Peer-Reviewed Journal Articles

Assimilation of LAI and FAPAR within DSSAT Guided by Leaf Growth Dynamics to Enhance Maize Yield Phenotyping

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.

paper

Learning County from Pixels: Corn Yield Prediction with Attention-Weighted Multiple Instance Learning

Xiaoyu 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 slides

Book Chapter

Satellite-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.

chapter

Refereed Conference Papers

County-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.

paper

Multi-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 poster

A Data-Free Approach for Targeted Universal Adversarial Perturbation

Xiaoyu Wang, Tao Bai, and Jun Zhao

Science of Cyber Security, pp. 126–138, 2021.

paper

Preprints

Knowledge-Guided Machine Learning Model with Soil Moisture for Corn Yield Prediction under Drought Conditions

Xiaoyu Wang, Yijia Xu, Jingyi Huang, Zhengwei Yang, and Zhou Zhang

arXiv:2503.16328, 2025.

paper slides

Distributed Generative Adversarial Net

Xiaoyu Wang, Ye Deng, and Jinjun Wang

arXiv:1911.08128, 2019.

paper

Teaching Experience

Awards, Service & Mentoring

Awards & Funding

Professional Service

Former Mentees


Hobby

I enjoy weightlifting, powerlifting, and bodybuilding. Weightlifting gallery