BIMK
Institute of
Bioinspired Intelligence and Mining Knowledge
Location:首页  Researchers  Teachers

田野(副教授/硕导)

2019-07-12

田野(副教授/硕导)


●电  话:15956911733

●E-mail:field910921@gmail.com

●实验室主页:http://bimk.ahu.edu.cn

●个人主页:https://www.researchgate.net/profile/Ye_Tian107


主要研究方向:计算智能、机器学习


Education Experience

Ø2015.9~2018.6 Anhui University, Ph.D.

Ø2012.9~2015.6 Anhui University, M.S.

Ø2008.9~2012.6 Anhui University, B.S. 


Work Experience:

Ø2018.8~present Institutes of Physical Science and Information Technology, Anhui University, Associated Professor


主持的基金项目与人才计划:

Ø香江学者计划,项目名称:面向大规模多目标进化算法研究,项目编号:XJ2019035,2019.9~2021.8

Ø安徽省青年基金,项目名称:基于进化算法的深度神经网络训练方法研究,项目编号:1908085QF,2019.7~2021.6

  

获奖情况:

Ø计算智能领域顶级期刊IEEE CIM的2020年度杰出论文奖
Ø计算智能领域顶级期刊IEEE TEVC的2018年度杰出论文奖
ØACM合肥2018博士论文奖

主要论著: 

2019年

● Ye Tian, Xingyi Zhang, Chao Wang, and Yaochu Jin. An evolutionary algorithm for large-scale sparse multi-objective optimization problems, IEEE Transactions on Evolutionary Computation, 2019, in press.          [Download]

● Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, and Yaochu Jin. Diversity assessment of multi-objective evolutionary algorithms: performance metric and benchmark problems, IEEE Computational Intelligence Magazine, 2019, in press.          [Download]

● Ye Tian, Xiutao Zheng, Xingyi Zhang, Yaochu Jin. Efficient large-scale multi-objective optimization based on a competitive swarm optimizer, IEEE Transactions on Cybernetics, 2019, in press.          [Download]

● Ye Tian, Shangshang Yang, Lei Zhang, Fucheng Duan, Xingyi Zhang. A surrogate-assisted multi-objective evolutionary algorithm for large-scale task-oriented pattern mining, IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3(2):106-116.          [Download]

● Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su and Yaochu Jin. A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization, IEEE Transactions on Evolutionary Computation, 2019, 23(2): 331-345.          [Download]

● Ye Tian, Shangshang Yang, Xingyi Zhang and Yaochu Jin. Using PlatEMO to solve multi-objective optimization problems in applications: a case study on feature selection, 2019 IEEE Congress on Evolutionary Computation,2019,pp.1-8.          [Download]

● Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin and Xin Yao. Accelerating large-scale multi-objective optimization via decision space reconstruction, IEEE Transactions on Evolutionary Computation, 2019, in press.          [Download]

● Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu, Rui Wang, Ling Wang. Hyperplane assisted evolutionary algorithm for many-objective optimization, IEEE Transactions on Cybernetics, 2019, in press.          [Download]


2018年

● Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, and Yaochu Jin, Guiding evolutionary multi-objective optimization with generic front modeling, IEEE Transactions on Cybernetics, 2018, in press.          [Download]

● Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin, An indicator based multi-objective evolutionary algorithm with reference point adaptation for better versatility, IEEE Transactions on Evolutionary Computation, 2018, 22(4): 609-622.          [Download]

● Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin, Sampling reference points on the Pareto fronts of multi-objective optimization problems,2018 IEEE Congress on Evolutionary Computation, 2018, pp. 1-6.          [Download]

● Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin. A decision variable clustering based evolutionary algorithm for large-scale many-objective optimization. IEEE Transactions on Evolutionary Computation, 2018, 22(1): 97-112.          [Download]

● Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, and Yaochu Jin. A classification based surrogate-assisted evolutionary algorithm for expensive many-objective optimization, IEEE Transactions on Evolutionary Computation,2018,in press.          [Download]


2017年

● Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin. PlatEMO: A MATLAB platform for evolutionary multi-objective optimization, IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87.          [Download]

● Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin. Effectiveness and efficiency of non-dominated sorting for evolutionary multi- and many-objective optimization, Complex & Intelligent Systems, 2017, 3(4): 247-263.          [Download]

● Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang and Linqiang Pan, A radial space division based evolutionary algorithm for many-objective optimization, Applied Soft Computing, 2017, 61: 603-621.          [Download]

● Linqiang Pan, Cheng He, Ye Tian, Yansen Su, Xingyi Zhang, A region division based diversity maintaining approach for many-objective optimization, Integrated Computer-Aided Engineering, 2017, 24: 279-296.          [Download]

● Cheng Ran, Miqing Li, Ye Tian, Xingyi Zhang, Shengxiang Yang, Yaochu Jin, Xin Yao, A benchmark test suite for evolutionary many-objective optimization, Complex & Intelligent Systems, 2017, 3(1): 67-81.          [Download]


2016年

● Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin. A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric, 2016 IEEE Congress on Evolutionary Computation, 2016, 5222-5229.          [Download]

● Cheng He, Linqiang Pan, Hang Xu, Ye Tian, Xingyi Zhang.An improved reference point sampling method on Pareto optimal front, 2016 IEEE Congress on Evolutionary Computation, 2016, 5230-5237.          [Download]

● Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin. Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization, 2016 IEEE Symposium Series on Computational Intelligence,  2016.          [Download]

● Xingyi Zhang, Ye Tian, Yaochu Jin. Approximate non-dominated sorting for evolutionary many-objective optimization. Information Sciences, 2016, 369(10):14-33.          [Download]


2015年

● Xingyi Zhang, Ye Tian, Yaochu Jin. A knee point driven evolutionary algorithm for many-objective optimization. IEEE Transactions on Evolutionary Computation, 2015, 19(6):761-776.          [Download]

● Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin. An efficient approach to non-dominated sorting for evolutionary multi-objective optimization. IEEE Transactions on Evolutionary Computation, 2015, 19(2): 201-213.          [Download]