l Wanchao Zhu, Rui Han, Xiaoyang Shang, Tao Zhou, Chengyong Liang, Xiaomeng Qin, Hong Chen, Zaiwen Feng, Hongwei Zhang, Xingming Fan, Weifu Li*, Lin Li*. The CropGPT project: A call for a global, coordinated effort in precision design breeding driven by AI using biological big-data. Molecular Plant, doi: https://doi.org/10.1016/j.molp.2023.12.015 l 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. l 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. l 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. l 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.
l 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. l 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. l 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. l 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. l 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. l 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. l 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. l 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. l 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. l 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. l Weifu Li, Hao Deng, Qiang Rao, Xi Chen, Qiwei Xie*, Hua Han*. An Automated Pipeline for Mitochondrial Segmentation on ATUM-SEM Stacks. Journal of Bioinformatics and Computational Biology, 2017, 15(3):1750015.
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