职称：教授
邮箱：yszhang@whut.edu.cn
研究方向：大数据分析、商务智能方法及其可解释性、消费者洞察
个人简介
张逸石，男，1986年06月生，湖北武汉人，2016年毕业于华中科技大学管理科学与工程专业，获管理学博士学位；2016年至2019年赴匹兹堡大学Joseph M. Katz商学院开展博士后研究与交流工作；以第一或通讯作者身份在Decision Support Systems和《心理学报》等国内外权威期刊上发表论文多篇，主持或参与多项国家级和省部级项目及横向课题；以高级顾问身份与河南中澳大数据研究院有限公司有着深入合作，同时也为北汽蓝谷信息有限公司、重庆酷璞睿信息技术有限公司等企业提供管理咨询。现任武汉理工大学管理学院教授(特评特聘)。
主讲课程
[1] 本科生课程：营销数据分析、数据驱动营销
[2] 研究生课程：Management Frontiers
发表论文情况
[1] Zhijun Chen, Depeng Chen, Yishi Zhang*, et al. Deep learning for autonomous ship-oriented small ship detection. Safety Science, 2020. Accepted
[2] Yishi Zhang, Haiying Wei, Yaxuan Ran, Yang Deng, Dan Liu. Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach. Expert Systems with Applications, 2020, 144: 113073
[3] 冉雅璇, 刘佳妮, 张逸石*, 卫海英. “一”人代言的魅力：品牌代言人数如何影响消费者的品牌态度. 心理学报, 2020, 52(3): 371-385
[4] Yishi Zhang, Qi Zhang, Zhijun Chen, Jennifer Shang, Haiying Wei. Feature assessment and ranking for classification with nonlinear sparse representation and approximate dependence analysis. Decision Support Systems, 2019, 122: 113064
[5] Zhijun Chen, Yishi Zhang*(co-first author), Chaozhong Wu, Bin Ran. Understanding individualization driving states via latent Dirichlet allocation model. IEEE Intelligent Transportation Systems Magazine, 2019, 11(2): 41-53
[6] Zhijun Chen, Hao Cai, Yishi Zhang*, Chaozhong Wu, Mengchao Mu, Zhixiong Li, Miguel Angel Sotelo. A novel sparse representation model for pedestrian abnormal trajectory understanding. Expert Systems with Applications, 2019, 138: 112753
[7] 卫海英, 王颖, 冉雅璇, 张逸石*, 舒丽芳. 小事情、大幸福：互动仪式链理论视角下服务仪式对品牌福祉的影响. 心理科学进展, 2018, 26(7): 1141-1151
[8] Zhijun Chen, Chaozhong Wu, Yishi Zhang*, Zhen Huang, Junfeng Jiang, Nengchao Lyu, Bin Ran. Vehicle behavior learning via sparse reconstruction with l₂-l_p minimization and trajectory similarity. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(2): 236-247
[9] Yishi Zhang, Zhijun Chen, Chaozhong Wu, Junfeng Jiang, Bin Ran. Vehicle trajectory analysis system via mutual information and sparse reconstruction. Transportation Research Record, 2017, 2645(1): 195-202
[10] Yishi Zhang, Chao Yang, Anrong Yang, et al. Feature selection for classification with class-separability strategy and data envelopment analysis. Neurocomputing, 2015, 166: 172-184
[11] Yishi Zhang, Anrong Yang, Teng Wang, et al. Feature selection using data envelopment analysis. Knowledge-Based Systems, 2014, 64: 70-80
[12] Zhijun Chen, Chaozhong Wu, Yishi Zhang*, et al. Feature selection with redundancy-complementariness dispersion. Knowledge-Based Systems, 2015, 89: 203-217
[13] Anrong Yang, Zigang Zhang, Dunliang Chen, Yishi Zhang*. Gap minimization criterion for peer-evaluation in cross-efficiency. Journal of Applied Mathematics, 2014(2014): 1-7
[14] Yishi Zhang, Shujuan Li, Teng Wang, Zigang Zhang. Divergence-based feature selection for separate classes. Neurocomputing, 2013, 101: 32-42
[15] Yishi Zhang, Zigang Zhang. Feature subset selection with cumulate conditional mutual information minimization. Expert Systems with Applications, 2012, 39(5): 6078-6088
主要学术兼职
[1] 国家自然科学基金委通讯评审专家
[2] IEEE Transactions on Knowledge and Data Engineering等十多种SCI/SSCI期刊以及《心理科学》等国内权威期刊的审稿人
[3] 第14届International Conference on Data Envelopment Analysis咨询委员会委员
其他说明
欢迎对大数据分析、人工智能技术和优化方法及其在管理科学、商务分析及决策中的应用与创新等方向感兴趣的同学和我联系。