人员

教师

程然    助理教授

电子邮箱:

chengr_AT_sustc.edu.cn

办公室:

创园10栋603

研究方向:

计算智能,演化计算,深度学习

教育背景

2013-2016:英国萨里大学,计算机科学系,哲学博士

2010-2012: 浙江大学,计算机科学与技术系,研究生

2006-2010: 东北大学,计算机科学与技术系,工学学士


工作经历

2016-2018:英国伯明翰大学计算机科学学院CERCIA团队,博士后研究员

2013-2016: 德国本田欧洲研究院,访问学者


荣誉与奖项

2019: IEEE 计算智能学会杰出博士论文奖, IEEE, USA(当年全球仅1人获奖)

2018: IEEE Transactions on Evolutionary Computation杰出论文奖, IEEE, USA(当年全球仅1篇获奖)

2017: Best Student Paper Award, 11th International Conference on Simulated Evolution and Learning (SEAL'2017), Shenzhen, China

2016: Chinese Government Award for Outstanding Self-financed Students Abroad (国家优秀自费留学生奖学金)

2016: Valued Contribution to the 2016 IEEE Symposium Series on Computational Intelligence (SSCI’2016), Athens, Greece

2015: Vice-Chancellor's Award for PGR Research, University of Surrey, UK

2015: PGR Student of the Year, Faculty of Engineering and Physical Sciences (FEPS), University of Surrey, UK

2015: First Place of the 2015 Association of British Turkish Academics (ABTA) Doctoral Researcher Award, UK

2015: Best Paper Award of the 12th Computing PhD Conference (CompConf’2015), University of Surrey, UK

2014: Best Paper Award of the 11th Computing PhD Conference (CompConf’2014), University of Surrey, UK


代表文章

1. Ye Tian, Ran Cheng, Xingyi Zhang, YansenSu, and YaochuJin. A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 2018 (in press).

2. Ran Cheng*, Cheng He, YaochuJin and Xin Yao. Model-based evolutionary algorithms: a short survey. Complex & Intelligent Systems, 2018.

3. Fei Li, Ran Cheng*, JianchangLium and YaochuJin. A Two-Stage R2 Indicator Based Evolutionary Algorithm for Many-Objective Optimization. Applied Soft Computing, 67: 245-260, 2018.

4. Xia Zhang, Bei Ding, Ran Cheng*, Sebastian C. Dixon, and Yao Lu*. Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior. Advanced Science, 5(1): 170052, 2018. (Reported by the Advanced Science News)

5. Xingyi Zhang, Xiutao Zheng, Ran Cheng*, JiangfengQiu and YaochuJin. A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence. Information Sciences, 427: 63-76, 2018.

6. Xingyi Zhang, Ye Tian, Ran Cheng*, and YaochuJin. A Decision Variable Clustering-Based Evolutionary Algorithm for Large-scale Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 22(1): 97-112, 2018.

7. Shenkai Gu, Ran Cheng and YaochuJin. Feature Selection for High Dimensional Classification using A Competitive Swarm Optimizer. Soft Computing, 22(3): 811–822, 2018.

8. Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng and YaochuJin. An Indicator Based Multi-Objective Evolutionary Algorithm with Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation, 2017 (in press).

9. Ran Cheng, Miqing Li, Ke Li and Xin Yao. Evolutionary Multiobjective Optimization Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Transactions on Evolutionary Computation, 2017 (in press).

10. Ye Tian, Ran Cheng, Xingyi Zhang and YaochuJin. PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. IEEE Computational Intelligence Magazine, 12(4): 73-87, 2017.

11. Ran Cheng, Miqing Li, Ye Tian, Xingyi Zhang, Shengxiang Yang, YaochuJin and Xin Yao. A Benchmark Test Suite for Evolutionary Many-objective Optimization. Complex & Intelligent Systems, 3(1): 67-81, 2017.

12. Chaoli Sun, YaochuJin, Ran Cheng, Jinliang Ding, and Jianchao Zeng. Surrogate-assisted Cooperative Swarm Optimization of High-dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation, 21(4): 644-660, 2017.

13. Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, and YaochuJin. Evolutionary Many-objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(2): 97-111, 2017.

14. Ran Cheng, YaochuJin, Markus Olhofer and Bernhard Sendhoff. Test Problems for Large-scale Multiobjective and Many-objective Optimization. IEEE Transactions on Cybernetics, 47(12): 4108-4121, 2017.

15. Ran Cheng, YaochuJin, Markus Olhofer and Bernhard Sendhoff. A Reference Vector Guided Evolutionary Algorithm for Many-objective Optimization. IEEE Transactions on Evolutionary Computation, 20(5): 773-791, 2016. (Top 1% ESI Highly Cited Article, Top 5 Popular Article of IEEE Transactions on Evolutionary Computation in October 2016)

16. Ran Cheng ,YaochuJin, KanameNarukawa and Bernhard Sendhoff. A Multiobjective Evolutionary Algorithm using Gaussian Process based Inverse Modeling. IEEE Transactions on Evolutionary Computation, 19(6): 838-856, 2015.]

17. Ran Cheng and YaochuJin. A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Transactions on Cybernetics, 45(2): 191-204, 2015. (Top 1% ESI Highly Cited Article)

18. Xingyi Zhang, Ye Tian, Ran Cheng, and YaochuJin. An Efficient Approach to Non-dominated Sorting for Evolutionary Multi-objective Optimization. IEEE Transactions on Evolutionary Computation, 19(2): 201-213, 2015. (Top 1% ESI Highly Cited Article, IEEE Transactions on Evolutionary Computation Outstanding Paper Award)

19. Ran Cheng and YaochuJin. A Social Learning Particle Swarm Optimization Algorithm for Scalable Optimization. Information Sciences, 291: 43-60, 2015. (Top 1% ESI Highly Cited Article)

20. Shenkai Gu, Ran Cheng, and YaochuJin. Multi-objective Ensemble Generation. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5): 234-245, 2015.


其他信息

Committee Services

2018 - present: Committee Member, IEEE CIS Emergent Technologies Technical Committee

2017 - present : Founding Vice-Chair, IEEE CIS Task Force on Many-Objective Optimisation

Editorship

2018 - present: Associate Editor, IEEE Access

2018 - present: Editorial Borad Member, Applied Soft Computing

2017 - present: Editorial Borad Member, Complex & Intelligent Systems

Academic Event Organizer

IEEE MBEA'2018: Co-Chair, 2018 IEEE Symposium on Model-Based Evolutionary Algorithms, Bengaluru, India

IEEE CEC'2018: Co-Chair of 2018 IEEE CEC Competition on Many-Objective Optimization, Rio de Janeiro, Brazil

IEEE CEC'2018: Co-Chair of 2018 IEEE CEC Special Session on Many-Objective Optimization, Rio de Janeiro, Brazil

IEEE CEC’2017: Co-Chair of Competition on Evolutionary Many-Objective Optimization, Sebastián, Spain

IEEE MBEA’2017: Co-Chair of 2016 IEEE Symposium on Model Based Evolutionary Algorithms, Honolulu, Hawaii, USA

IEEE MBEA’2016: Co-Chair of 2016 IEEE Symposium on Model Based Evolutionary Algorithms, Athens, Greece

IEEE SSCI’2016:Poster-Session Chair of 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece

IEEE SSCI’2016: Web-Chair of 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece

IEEE CEC’2016: Co-Chair of the Special Session on "Efficient Non-dominated Sorting and Pareto Approaches to Many-Objective Optimization" in 2016 IEEE Congress on Evolutionary Computation, Vancouver, Canada

CompConf’2015: TPC Co-Chair of the 12th Computing PhD Conference, University of Surrey, UK