温智平，1995年，甘肃天水人，矿业工程流动站师资博士后，2023于中国矿业大学获工学博士学位，期间曾赴The University of British Columbia (UBC)博士联合培养。主要从事选矿过程建模与智能控制、选矿过程指标视觉识别、浮选工艺系统智能化分选等相关方向的研究。近年来，在Fuel、Minerals Engineering, Powder Technology等期刊以第一作者发表SCI论文7篇，申请发明专利4项，参与国家重点研发计划在内的纵向项目4项，参与横向企业委托科研项目5项，部分成果已经完成工业转化，为煤炭洗选企业赋能增效。

电子邮箱：zpwen@cumt.edu.cn

发表论文

[10] Maiqiang Zhou., Zhiping Wen, Ge Xu., Zipeng Zhang, Changchun Zhou. Deep learning with TabNet: rapid coal ash content estimation 

via X-ray fluorescence. International Journal of Coal Preparation and Utilization, 1–25.

[9]周长春,温智平*,周脉,徐舸.基于数据生命周期的煤泥浮选智能控制技术研究进展与展望[J/OL].洁净煤技术:1-15[2023-11-28]. http://kns.cnki.net/kcms/detail/11.3676.TD.20231121.1511.004.html.

[8]Hangtao Liu, Ruibo Jia, Zhiping Wen*, Jinhe Pan, Lei Zhang, Shulan Shi, Changchun Zhou*,Working condition perception for froth flotation based on NSCT multiscale features,Minerals Engineering,2023,108410：0892-6875. https://doi.org/10.1016/j.mineng.2023.108410.

[7]Zhiping Wen, Yali Kuang, Hongyue Zi, Changchun Zhou* & Guanghui Wang* (2023) A novel explainable modeling method for cleaned coal quality evaluation in jigged fluidized bed, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 45:2, 5110-5124, DOI: 10.1080/15567036.2023.2208543

[6]Zhiping Wen, Hangchao Chen, Jinhe Pan, Ruibo Jia, Fan Yang, Hangtao Liu, Lei Zhang, Ningning Zhang, Changchun Zhou*. Grinding activation effect on the flotation recovery of unburned carbon and leachability of rare earth elements in coal fly ash. Powder Technology, 2022, 398, 117045.

[5] Zhiping Wen, Hangtao Liu, Maiqiang Zhou, Cheng Liu, Changchun Zhou*. Explainable machine learning rapid approach to evaluate coal ash content based on X-ray fluorescence. Fuel, 2022, 332, 125991.

[4] Zhiping Wen, Ruibo Jia, Hangtao Liu, Changchun Zhou*. Transfer learning using small-sized dataset for concentrate ash content prediction of coal flotation. International Journal of Coal Preparation and Utilization, 2022, 1-18.

[3]Zhiping Wen, Changchun Zhou*, Jinhe Pan, Shanshan Cao, Tingting Hu, Wanshun Ji & Tiancheng Nie (2022) Recovery of rare-earth elements from coal fly ash via enhanced leaching, International Journal of Coal Preparation and Utilization, DOI: 10.1080/19392699.2020.1790537

[2]Zhiping Wen, Changkui Zhou, Jinhe Pan, Tiancheng Nie, Changchun Zhou*, Zhaolin Lu*. Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network. Minerals Engineering, 2021, 174, 107251.

[1] Zhiping Wen, Changchun Zhou*, Jinhe Pan, Tiancheng Nie, Ruibo Jia, Fan Yang, Froth image feature engineering-based prediction method for concentrate ash content of coal flotation [J], Minerals Engineering, 2021, 170, 107023.