Postdoctoral Research Associate at Iowa State University 🐮🐷🐔🌾Quantitative Genetics & Precision Livestock Farming
Ames, Iowa
Joined May 2021
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🎉 Happy to share our new preprint: Impact of trait measurement error on quantitative genetic analysis of computer vision derived traits 🐷🧬
Thanks to my PhD advisor and collaborators. @gotamorota @yijianhuang @HaipengU
Read the full preprint here: doi.org/10.1101/2025.06.02.6…
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!
Excited to share our new preprint: "Genomic Prediction of Metabolic Content in Rice Grain in Response to Warmer Night Conditions." Check it out!
📄 [manuscript: doi.org/10.1101/2024.07.23.6…]
🔗 [code: github.com/yebigithub/GBLUP4…]
#Genomics #RiceResearch #ClimateChange #PlantScience
Thrilled to have joined the ASAS annual meeting in Calgary, Canada this year! 🌟 It was an incredible experience to present two of my recent works and connect with so many amazing people. 🤝 Reconnecting with old friends and meeting new ones made it even more special! 🎉
Ye Bi retweeted
Check out Idan's @HUJIAgri new paper @plantgenome. Integrating genomics and temporal high throughput phenotyping promotes time-series genomic prediction in sesame. A great collaboration with @gotamorota, @YeBi000, and @HerrmannIttai. @BDevelopm
Read here: doi.org/10.1002/tpg2.20481
Completed this semester's dairy cattle data collection. Good memory! 🙌🏻🙌🏻🙌🏻🙌🏻🤩🤩🤩@KenanBurak @gotamorota
Ye Bi retweeted
I am excited to announce my paper with the guidance of @gotamorota in collaboration with @YeBi000 , @brito_lf , and Dr. Zafer Ulutaş: Review of sheep breeding and genetic research in Türkiye. I wish it sheds light on sheep breeding and genetics research.
bit.ly/3vObO0Z
Ye Bi retweeted
Introducing EdgeSAM, the first SAM variant that can run at over 30 FPS on an iPhone 14 with minimal compromise in performance.
Code, models, and Hugging Face demo are available!
arXiv: arxiv.org/abs/2312.06660
Project page: mmlab-ntu.github.io/project/…
🎓Excited to share that I've become Ph.D. Candidate after passing the preliminary! 😆 Huge thanks to my advisor, committee members, teammates, and collaborators – couldn't have reached this milestone without your amazing support! 🙌
Big thanks to my advisor for the awesome opportunity to join the group and work on projects that I'm super passionate about! Your long-term mentorship and support mean the world to me! @gotamorota
Ye Bi retweeted
Just in time for CVPR, we've released code to generate "rainbow visualizations" from a set of point tracks: it semi-automatically segments foreground objects and corrects for camera motion. Try our colab demo at colab.sandbox.google.com/git… (vid source youtube.com/watch?v=yuQFQ8-Q…)
Ye Bi retweeted
It's so simple to remove background using Python, you can reduce code lines to 5
📔 Best Python Books: bit.ly/3REqgBm
#python #programming #developer #morioh #programmer #softwaredeveloper #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml
Ye Bi retweeted
Our open-source online computer vision web application, ShinyAnimalCV, led by @JinWangAI is on arXiv (arxiv.org/abs/2307.14487)! ShinyAnimalCV is designed for performing computer vision tasks using animal image data.
Ye Bi retweeted
Bi et al. investigate the utility of metabolites obtained from grains to classify high night temperature conditions of genotypes, and metabolites and SNPs to predict grain length, width, and perimeter phenotypes using a rice diversity panel. #G3Journal | bit.ly/44xaD2e
ALT Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
ASAS2023, I present our recent job
"Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms".
BTW, food is perfect! 😁 Although too hot weather made me headache almost everyday😵..
Our new preprint "Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms" is now available online! 🐮📸📽️
arxiv.org/abs/2307.01383
Ye Bi retweeted
Happy to share our new preprint on the application of genomic prediction in sesame. We showed that multi-environment analysis increasing the prediction accuracy of agronomic traits. Great collaboration of @Peleglab ,@gotamorota and
@YeBi000
@BDevelopm
biorxiv.org/content/10.1101/…
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice biorxiv.org/content/10.1101/… My first Ph.D. project in Quantitative Genetics. Thanks a lot to my advisor @gotamorota, my friend @RYassue, and all the collaborators’ help!
