Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping
Zhang, Y. (2024). "Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping" Nature Scientific Data.
CV
ACADEMIC PROFILE
Yujie Zhang
Doctoral Student (PhD) with interests in Data Science, Embedded Systems, Computer Graphics + Vision, and Machine Learning. Passionate about interdisciplinary research and practical impact.
Basic Information
Profile
- Name: Yujie Zhang
- Position: Doctoral Student (PhD)
- Location: Quedlinburg, Saxony-Anhalt, Germany
Connect
- Email: yujie.zhang@julius-kuehn.de
- GitHub: github.com/0YJ
- LinkedIn: yujie-zhang-198a18157
Education
- Universität Siegen
- Technische Universität Berlin
- Zhengzhou University
Experience
- Julius Kühn-Institut · Doctoral Student (Contract)
- go asia Deutschland GmbH · Database Manager (Full-time)
Projects
Representative projects and source code are continuously updated on GitHub.
Skills
Research Areas:
Data Science Embedded Systems Computer Graphics Computer Vision Machine Learning
Currently Learning:
AGI DevOps Competitive Programming
Open Collaboration Topics:
Graphics + Vision Machine Learning AGI
Personal Interests
- Computer hardware
- Mechanics
- Fitness
- Rock music
Creed
Keep your hacker spirit. Think outside the box, turn the impossible into possible, and share what you know.
Publications
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping
Zhang, Y. (2024). "Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping" Nature Scientific Data.
Talks
Conference Proceeding talk 2
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Conference Proceeding talk 1
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA