Ye Bi 毕晔

Deep Learning ⎟ Computer Vision ⎟ Genetics ⎟ Data Science

yehokie.jpeg

I recently defended my Ph.D. dissertation from Dr. Morota’s lab in the School of Animal Sciences at Virginia Polytechnic Institute and State University and expect to graduate in December 2024.

My research interests focus on incorporating artificial intelligence, computer vision, statistics, phenomics, and genetics to study animal and plant sciences.

Excited to collaborate on research in precision livestock farming, quantitative genetics, AI, machine learning, and computer vision. Eager to contribute to innovative projects — reach out for potential collaboration!

Research Topics

        ✓ Precision Livestock Farming 🐷🐽🐄🐖
        ✓ Quantitative Genetics for animals 🐄🐂
        ✓ Quantitative Genetics for plants 🌿🌾

Recent News
(See All)

Nov 20, 2024 [New Paper Accept] Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota. Genomic prediction of metabolic content in rice grain in response to warmer night conditions. Crop Science. In press. doi:10.1101/2024.07.23.604827.


 gp4met
Sep 18, 2024 I’m excited to share that I’ve successfully defended my Ph.D. dissertation, “Digital phenotyping and genomic prediction using machine and deep learning in animals and plants.” Grateful for all the support throughout this journey!📅🚀🎉 gg
Jul 25, 2024 [Oral presentations] Industry-scale prediction of video-derived pig body weight using efficient convolutional neural networks and vision transformers. The impact of trait measurement error on quantitative genetic analysis. 2024 ASAS-CSAS-WSASAS Annual Meeting. Calgary TELUS Convention Centre, Calgary, Alberta, Canada. July 21-25, 2024. ASAS2024
Jun 26, 2024 [Travel Award!] I'm excited to share that I have received the [Agricultural Genome to Phenome Initiative (AG2PI)] Student Conference Travel Award ($1500) from the U.S. Department of Agriculture (USDA), National Institute of Food and Agriculture (NIFA). AG2PI

Selected Publications
(Show More)

Check out Google Scholar for a full list of my publications.

  1. Dissertation
    Digital Phenotyping and Genomic Prediction Using Machine and Deep Learning in Animals and Plants
    Ye Bi
    2024
    HTML
  2. Paper
    Genomic prediction of metabolic content in rice grain in response to warmer night conditions
    Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota
    bioRxiv 2024
    HTML Code
  3. Paper
    Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
    Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, and Gota Morota
    Smart Agricultural Technology 2023
    HTML Code
  4. Paper
    Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
    Ye Bi, Rafael Massahiro Yassue, Puneet Paul, Balpreet Kaur Dhatt, Jaspreet Sandhu, Thi Phuc Do, Harkamal Walia, Toshihiro Obata, and Gota Morota
    G3: Genes, Genomes, Genetics 2023
    HTML Code