一、基本信息
出生年月:1988.12
职称：教授
最高学位：博士
主要研究方向：计算机视觉、农业图像挖掘、智慧农业
导师类别（专硕、学硕、博导）：专硕、学硕、博导
工作单位：武汉理工大学计算机与人工智能学院
邮箱：liuweizhen@whut.edu.cn
二、教育及工作经历
2017.07-2019.06康奈尔大学，博士后
2016.07-2017.06华盛顿州立大学，博士后
2011.08-2016.07华盛顿州立大学，博士
2007.09-2011.06南京农业大学，学士
三、奖励情况
2017年：珍妮布劳格麦类作物青年女科学家成就奖，布劳格全球锈病协作组织
四、近期主持的科研项目
1.2026-2029,多模态时空数据驱动的小麦条锈病抗性智能鉴定方法研究,国家自然学科基金面上项目，项目主持人
2.2026-2028，灵芝孢子粉高产优质性状形成的分子遗传基础及种质创新，国家自然学科基金联合项目，子课题负责人
3.2024-2027，猪新品种肉质性状现代精准评价技术研究，国家重点研发青年科学家项目，子课题负责人
4.2023-2025，基于微型CT与智能解析技术的小麦籽粒灌浆性状无损测定方法研究，国家自然科学基金青年项目，项目主持人
5.2023-2025，基于大数据智能的作物CT图像表型解析技术研究，武汉市知识创新专项“曙光计划”项目，项目主持人
6.2021-2025，大豆落花落荚调控基因的克隆与功能解析，国家自然科学基金委员会重大项目，项目参与人
五、近期代表性学术成果
1．Ze Wu, Haowei Zhao, Zeyu Chen, Yongqing Suo, Seena Joseph, Xiaohui Yuan, Caixia Lan, Weizhen Liu*. FHBDSR-Net: Automated Measurement of Diseased Spikelet Rate of Fusarium Head Blight on Wheat Spikes. aBIOTECH, 2025. https://doi.org/10.1007/s42994-025-00245-0.
2. Weizhen Liu*, Yuxi Chen, Zhaoxin Lu, Ze Wu, Ziyao Zheng, Yongqiang Suo, Caixia Lan*, Xiaohui Yuan*. StripeRust-Pocket: A Mobile Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust. Plant Phenomics 2024;6:Article 0201.
3. Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan*, Nanqing Dong*. Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection-Towards Precise Fish Morphological Assessment in Aquaculture Breeding. Proceedings of the Thirty-Third International Joint Conference (IJCAI), 2024,Jeju, Korea, Pages: 7376-7384.
4. Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan*, Nanqing Dong*. Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method. Proceedings of the Thirty-Third International Joint Conference (IJCAI)，2024, Jeju, Korea, Pages:7367-7375.
5. Piyush Jain, Weizhen Liu, Siyu Zhu, Christine Yao-Yun Chang, Jeff Melkonian, Fulton E. Rockwell, Duke Pauli, Ying Sun, Warren R. Zipfel, N. Michele Holbrook, Susan Jean Riha, Michael A. Gore, Abraham Strook*. A Minimally Disruptive Method for Measuring Water Potential in-Planta Using Hydrogel Nanoreporters. PNAS, 2021, 118:23, e200827611.
6. Yanping Zhang, Jing Peng, Xiaohui Yuan, Lisi Zhang, Dongzi Zhu, Po Hong, Jiawei Wang, Qingzhong Liu, Weizhen Liu*. MFCIS: An Automatic Leaf-based Identification Pipeline for Plant Cultivars Using Deep Learning and Persistent Homology. Horticulture Research, 2021, 8:172, DOI: 10.1038/s41438-021-00608-w.
7. Chuancheng Zhu, Yusong Hu, Hude Mao, Shumin Li, Fangfang Li, Congyuan Zhao, Lin Luo, Weizhen Liu*, and Xiaohui Yuan*. A Deep Learning-based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis. Frontiers in Plant Science, 2021, 12:716784.
8. Weizhen Liu, Chang Liu, Jingyi Jin, Dongye Li, Yongping Fu*, Xiaohui Yuan*. High-throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-ray Computed Tomography. Frontiers in Plant Science, 2020, 11:601475. DOI: 10.3389/fpls.2020.601475.