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张长胜 教授

电话: 024-83656238

E-mail: zhangchangsheng@mail.neu.edu.cn

2009年毕业于吉林大学计算机科学与技术学院计算机软件与理论专业。2010年获得东北大学优秀博士后,博士论文被评为2011年吉林省优秀博士毕业论文。中国通信学会高级会员,《Information Sciences》、《IEEE transactions on Evolutionary Computation》、《IEEE/ACM Transactions on Computational Biology and Bioinformatics》等多个国际期刊审稿专家。主要从事群智能优化方法、深度网络模型解析、工业大数据分析等方面的研究与应用。主持国家自然科学基金项目2项,博士后特别资助项目及面上项目各1项,宁夏自然科学基金项目1项,博士点新教师基金项目1项,中央高校基本科研业务费项目种子、重点及重大项目共4项;骨干参与“核高基”国家科技重大专项、国家科技支撑计划、国家自然科学基金项目、中央高校基本科研业务费重大项目等多项。目前共发表及录用学术论文百余篇,影响因子4.0以上JCR一区SCI检索论文10篇,第一作者高被引SCI检索论文1篇、中国精品科技期刊顶尖学术论文(领跑者5000)论文1篇,出版学术专著2部。

吉林大学 - 计算机科学与技术学院

2006/09 – 2009/06

博士 导师:欧阳丹彤、孙吉贵教授

2003/09 – 2006/06

硕士 导师:孙吉贵教授

1999/09 – 2003/06

学士

东北大学

2019/05 – 至今

软件学院

教授,博导

2017/01 – 2019/05

计算机科学与工程学院

教授,博导

2009/07 – 2016/12

计算机科学与工程学院

副教授

2009/10 – 2012/10

信息科学与工程学院

博士后

⦁Qiong Wu, and Changsheng Zhang. "Cascade Fusion Convolutional Long-Short Time Memory Network for Remaining Useful Life Prediction of Rolling Bearing." IEEE Access 8 (2020): 32957-32965.

⦁Haitong Zhao, and Changsheng Zhang. "A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning." Applied Soft Computing 86 (2020): 105879.

⦁Haitong Zhao, and Changsheng Zhang. "An online-learning-based evolutionary many-objective algorithm." Information Sciences 509 (2020): 1-21.

⦁Haitong Zhao, Changsheng Zhang, and Bin Zhang. "A Decomposition-Based Many-Objective Ant Colony Optimization Algorithm with Adaptive Reference Points." Information Sciences (2020).

⦁ Changsheng Zhang, Jiaxu Ning, Jiaxuan Wu, Bin Zhang,A multi-objective optimization method for service composition problem with sharing property, Swarm and Evolutionary Computation, https://doi.org/10.1016/j.swevo.2019.06.004, 2019. (IP: 6.33)

⦁ Haitong Zhao, Changsheng Zhang, and Jiaxu Ning. "A core firework updating information guided dynamic fireworks algorithm for global optimization." Soft Computing 24.2 (2020): 1185-1211.

⦁ Jiaxu Ning, Changsheng Zhang, Bin Zhang, and Peng Wang. "Improving the one-position inheritance artificial bee colony algorithm using heuristic search mechanisms." Soft Computing 24.2 (2020): 1271-1281.

⦁ Haitong Zhao, Changsheng Zhang*, jiaxu Ning, A best firework updating information guided adaptive fireworks algorithm, Neural Computing and Applications, 31(1):79-99, 2019.(IP:4.664)

⦁ Haitong Zhao, Changsheng Zhang*, Jiaxu Ning, Bin Zhang, Peng Sun, Yunfei Feng, A comparative study of the evolutionary many-objective algorithms, Progress in Artificial Intelligence, 8(1):15-43, 2019.

⦁ Jiaxu Ning, Changsheng Zhang, Peng Sun and Yunfei Feng, Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization,Information,10(1):1-19, 2019.

⦁ Peibo Duan,Changsheng Zhang, Bin Zhang, Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks , IEEE Transactions on Cybernetics, 48(6): 1696 – 1707, 2018. (IP:8.803)

⦁ Haitong Zhao, Changsheng Zhang*, Bin Zhang, Decomposition-Based Sub-Problem Optimal Solution Updating Direction-Guided Evolutionary Many-Objective Algorithm, Information Sciences, 448-449:91-111, 2018.(IP:4.832)

⦁ Jiaxu Ning, Qin Zhang, Changsheng Zhang*, Bin Zhang, A Best Path Updating Information-Guided Ant Colony Optimization Algorithm [J]. Information Sciences, 434: 142-162, 2018.

⦁ Jiaxu Ning, Tingting Liu, Changsheng Zhang*, A food source-updating information-guided artificial bee colony algorithm, Neural Computing and Applications, 30(3):775-787, 2018.(4.213)

⦁ Jiaxu Ning, Bin Zhang, Tingting Liu, Changsheng Zhang*. An archive based artificial bee colony optimization algorithm for multi-objective continuous optimization problem, Neural Computing and Applications, 30(9):2661-2671, 2018.

⦁ Qin Zhang, Changsheng Zhang*, An improved ant colony optimization algorithm with strengthened pheromone updating mechanism for constraint satisfaction problem, Neural Computing and Applications, 30(10):3209-3220, 2018.

⦁ Boxin Guan, Changsheng Zhang, Yuhai Zhao, An Efficient ABC_DE_Based Hybrid Algorithm for Protein–Ligand Dockin,International Journal of Molecular Sciences, 19(4):1-16,2018.

⦁ Ke Ye, Changsheng Zhang*, Ant-colony algorithm with a strengthened negative-feedback mechanism for constraint satisfaction problem, Information Sciences, 406:29-41, 2017.

⦁ Bin Zhang, Tingting Liu, Changsheng Zhang*, Peng Wang, Artificial bee colony algorithm with strategy and parameter adaptation for global optimization, Neural Computing and Applications, 28:349-364,2017.

⦁ Boxin Guan, Changsheng Zhang, Yuhai Zhao, HIGA: A Running History Information Guided Genetic Algorithm for Protein–Ligand Docking, Molecules, 22(12):1-18, 2017.

⦁ Guan Boxin, Zhang Changsheng*, and Ning Jiaxu , Genetic algorithm with a crossover elitist preservation mechanism for protein–ligand docking, AMB Express, 2017, 7:174.

⦁ Guan Boxin, Zhang Changsheng*, and Ning Jiaxu. EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein–Ligand Docking, Journal of Computational Biology. 23(7):585-596, 2016.

⦁ Jiaxu Wu, Changsheng Zhang, Bin Zhang*. A new data-grouping-aware dynamic data placement method that take into account jobs execute frequency for Hadoop, Microprocessors and Microsystems, 47(2016):161-169.

⦁ Jiaxuan Wu, Bin Zhang, Lei Yang, Peng Wang, Changsheng Zhang*,A replicas placement approach of component services for service-based cloud application,Cluster Computing,19(2016):709-721.

⦁ Peng Wang, Changsheng Zhang, Bin Zhang*, et.al. A Dimensional Diversity Based Hybrid Multi-objective Evolutionary Algorithm for Optimization Problem, International Journal of Pattern Recognition and Artificial Intelligence, 30(07):1-18, 2016.