2.孙越崎青年科技奖获得者；
3.山东省泰山学者特聘专家；
4.山东省自然科学杰出青年基金奖获得者。
◎著作
1.《智能油田开发理论与方法》，科学出版社，2018年；
2.《国外智能井技术》，石油工业出版社，2011年；
3.《Fluid Flow in Prouse Media》，中国石油大学出版社，2009年。
◎论文
智能优化领域高水平文章：
1. Xiaoming Xue, Kai Zhang*, Kay Chen Tan. Affine Transformation Enhanced Multifactorial Optimization for Heterogeneous Problems[J]. IEEE TRANSACTIONS ON CYBERNETICS, 15 December 2020, PubMed ID: 33320820, doi: 10.1109/TCYB.2020.3036393.
2. Yi-Fei Pu; Xuetao Xie; Jinde Cao*; Hua Chen; Kai Zhang*; Jian Wang*. An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus[J], IEEE Transactions on Systems, Man, And Cybernetics: Systems, 01 March 2021, doi: 10.1109/TSMC.2021.3055501.
3. ZHANG L M, WANG S S, ZHANG K*, et al. Cooperative artificial bee colony algorithm with multiple populations for interval multiobjective optimization problems[J]. IEEE Transactions on Fuzzy Systems, 2018, 27(5): 1052-1065.
4. X. Xue, K. Zhang, R. Li, L. Zhang, C. Yao, J. Wang, J. Yao. A Topology-based Single-Pool Decomposition Framework for Large-Scale Global Optimization. Appllied Soft Computing. 92 (2020) 106295.
5. GAO T, GONG X L, ZHANG K, et al. A recalling-enhanced recurrent neural network: conjugate gradient learning algorithm and its convergence analysis[J]. Information Sciences, 2020, 519: 273-288.
6. Guodong Chen, Yong Li, Kai Zhang*, Xiaoming Xue, Jian Wang, Qin Luo, Chuanjin Yao, Jun Yao, Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization, Information Sciences ,2021,542:228-246.
7. ZHANG L M, CUI C Y, MA X P, ZHANG K*, et al. A fractal discrete fracture network model for history matching of naturally fractured reservoirs[J]. Fractals, 2019, 27(1): 1940008.
8. ZHANG K*, MA X P, LI Y L, et al. Parameter prediction of hydraulic fracture for tight reservoir based on micro-seismic and history matching[J]. Fractals, 2018, 26(2): 1840009.
石油工程顶刊SPE Journal文章：
1. K. Zhang, Y. Wang, et al. Prediction of Field Saturations Using a F