李伟夫，华中农业大学信息学院副教授，博士生导师，2021年入选华中农业大学硕彦计划青年英才B岗。曾于 2019 年 9 月至 2020 年 7 月在日本丰田工业大学访问，主要研究方向为深度学习的理论及其在生命科学和材料科学领域的应用。近三年主持国家自然科学基金和国家重点研发计划子课题等国家级课题4项，校自主创新基金1项，横向课题若干项，并作为骨干成员参与教育部优秀青年团队培育项目，累计经费约400万元。在Science、Nature Genetics、Molecular Plant （2篇）、Briefings in Bioinformatics、Plant Phenomics、Materials Characterization、Journal of Materials Research and Technology、IIEEE TNNLS（2篇）、IJCAI、AAAI（4篇）等期刊会议上发表论文30余篇，获得软件著作权登记8项，发明专利授权2项，中国有色金属工业科学技术一等奖1项。担任国际期刊International Journal of AI for Materials and Design编委，IEEE Transactions on AgriFood Electronics、Frontiers in Plant Science、Neurocomputing、AAAI等期刊会议的审稿人。现隶属于华中农业大学信息学院陈洪教授领衔的人工智能和统计学习团队http://aisle.hzau.edu.cn/index.htm，团队拥有多个独立实验室、坚实的机器学习研究基础、以及多台配置高性能GPU显卡（A6000）的大存储服务器，具备良好的学术氛围和硬件环境，与境内外学者合作交流密切。团队学生多次访问中科院自动化所、中科院国家空间科学中心、南方科技大学、京东探索研究院、国防科技大学等。

招生类型：农业信息工程学术型博士、电子信息专业型博士、数学学术型硕士、应用统计专业型硕士。欢迎感兴趣的同学报考， 联系方式liweifu@mail.hzau.edu.cn。

论文：

• Chi Xiao#, Jun Wang#, Shenrong Yang, Minxin Heng, Junyi Su, Hao Xiao, Jingdong Song*, Weifu Li*. VISN: virus instance segmentation network for TEM images using deep attention transformer. Briefings in Bioinformatics, Volume 24, Issue 6, November 2023.

• Zehan Bao#, Weifu Li#, Jun Chen, Hong Chen, Vijay John, Chi Xiao, and Yaohui Chen. Predicting and Visualizing Citrus Color Transformation Using a Deep Mask-Guided Generative Network. Plant Phenomics, 2023, DOI: 10.34133/plantphenomics.005.

• Chuanwu Yang, Xinge You, Rongxiao Yu, Yao Xu, Jianfeng Zhang, Xiaobo Fan, Weifu Li*, Zi Wang*. Semi-supervised deep transfer learning for the microstructure recognition in the high-throughput characterization of nickel-based superalloys. Materials Characterization, 2023, 203, 113094.

• Hong Chen, Youcheng Fu, Xue Jiang, Yanhong Chen, Weifu Li*, Yicong Zhou, and Feng Zheng. Gradient Learning with the Mode-induced Loss: Consistency Analysis and Applications, IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/TNNLS.2023.3236345.3.  

• Linqian Han#, Wanshun Zhong#, Jia Qian#, Minliang Jin#, Peng Tian#, Wanchao Zhu#, Hongwei Zhang#, Yonghao Sun#, Jia-Wu Feng, Xiangguo Liu, Guo Chen, Babar Farid, Ruonan Li, Zimo Xiong, Zhihui Tian, Juan Li, Zi Luo, Dengxiang Du , Sijia Chen, Qixiao Jin, Jiaxin Li, Zhao Li, Yan Liang, Xiaomeng Jin , Yong Peng, Chang Zheng, Xinnan Ye, Yuejia Yin, Hong Chen, Weifu Li, Ling-Ling Chen, Qing Li, Jianbing Yan*, Fang Yang*, and Lin Li*. A multi-omics integrative network map of maize (Zea mays L.). Nature Genetics, 2023, 55, 144–153.5. 

• Zijun Qin, Weifu Li*, Zi Wang, Junlong Pan, Zexin Wang, Zihang Li, Guowei Wang, Jun Pan, Feng Liu,** Lan Huang, Liming Tan, Lina Zhang, Hua Han, Hong Chen, Liang Jiang. High-throughput characterization methods for Ni-based superalloys and phase prediction via deep learning. Journal of Materials Research and Technology. 2022, 21, 1984-1997.

• Zhao Li^#, Xiaoxuan Chen^#, Shaoqiang Shi, Hongwei Zhang, Xi Wang, Hong Chen, Weifu Li*, and Lin Li*. DeepBSA: A deep-learning algorithm improves bulked segregant analysis for dissecting complex traits. Molecular Plant, 2022, 15, 1418-1427.

• Shuxin Li, Xuebin Zhao, Jun Chen, Weifu Li*, Hong Chen, Yanhong Chen, Yanmei Cui, Tianjiao Yuan. Recognition Method for Mount Wilson Magnetic Type of Sunspots Based on Deep Learning (in Chinese). Chinese Journal of Space Science, 2022, 42(3): 333-339.8. 

• Danqing Liu, Weifu Li, Chenyan Ma, Weitong Zheng, Yuanyuan Yao, Chak Foon Tso, Peng Zhong, Xi Chen, Jun Ho Song, Woochul Choi, Se-Bum Paik, Hua Han, Yang Dan*A Common Hub for Sleep and Motor Control in the Substantial Nigra. Science, 2020, 367(6476): 440-445. 

• Weifu Li, Xinghui Zhao, Jiangtao Peng, Zhicheng Luo, Lijun Sheng, Hua Han, Peng Zhang, Lei Yang*. A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites. IEEE Geoscience and Remote Sensing Letters, 2020, 17(2): 197-201.

• Weifu Li, John Vijay*, Mita Seiichi. Enhancing Depth Quality of Stereo Vision using Deep Learning-based Prior Information of the Driving Environment. International Conference on Pattern Recognition, 2020, 7281-7286.

• Weifu Li, Xinghui Zhao, Jiangtao Peng, Zhicheng Luo, Lijun Sheng, Hua Han, Peng Zhang, Lei Yang*. L0 Sparse Approximation of Coastline Infection Method on FY-3C MWRI Data. IEEE Geoscience and Remote Sensing Letters, 2019, 16(1): 85-89.

• Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie*, Hua Han*. A Fast Forward 3D Connection Algorithm for Mitochondria and Synapses Segmentations from Serial EM Images. Biodata Mining, 2018, 11:24.

• Luoqing Li*, Weifu Li, Bin Zou, Yulong Wang, Yuanyan Tang, Hua Han. Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(9): 4166-4176.