李偉夫，副教授。研究方向為深度學習、圖像處理和生物數據挖掘。聯系方式：liweifu@mail.hzau.edu.cn.

與中科院自動化研究所，美國加利福尼亞大學伯克利分校，中國氣象局，中南大學粉末冶金國家重點實驗室等國內外單位合作在人工智能頂會IJCAI發表論文1篇, 在Science，IEEE Transactions on Neural Networks and Learning Systems，IEEE Geoscience and Remote Sensing Letters，Biodata Mining，Scripta Materialia等SCI期刊發表論文10余篇。曾受留學基金委資助去日本豐田工業大學訪學近一年。

人工智能頂會論文（CCF A）：

[1] Xi Chen, Hao Zhai, Danqing Liu, Weifu Li, Chaoyue Ding, Qiwei Xie, Hua Han*. SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis, IJCAI, 2020.

部分SCI期刊論文：

[1] 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.

[2] 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.

[3] 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, 2019, 16(1): 85-89.

[4] 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.

[5] Zi Wang, Lina Zhang, Weifu Li, Zijun Qin, Zexin Wang, Zihang Li, Liming Tan, Lilong Zhu, Feng Liu*, Hua Han, Liang Jiang. High throughput experiment assisted discovery of new Ni-base superalloys. Scripta Materialia, 2020, 178, 134–138.