人员

教师

杨鹏    研究助理教授

电子邮箱:

yangp_AT_sustc.edu.cn

办公室:

南山智园A7栋913室

研究方向:

演化计算、智慧物流

教育背景

◆ 2012.09-2017.06: 中国科学技术大学,计算机科学与技术学院,博士

◆ 2015.10.04-2015.10.24: 日本国立情报学研究所,访问学生. (日本科技振兴机构资助)

◆ 2014.07-2015.01: 英国伯明翰大学,计算机科学学院,访问学生. (欧盟资助)

◆ 2013.11-2014.05: 西班牙巴斯克地区大学,信息学院,访问学生. (欧盟资助)

◆ 2008.09-2012.06:中国科学技术大学,计算机科学与技术学院,学士.


工作经历

2018.02至今: 南方科技大学,计算机科学与工程系,研究助理教授

2017.07-2018.01: 华为技术有限公司,IT算法部,高级工程师


荣誉与奖项

中国科学院院长奖-特别奖,2017

安徽省品学兼优毕业生,2017

中国科学技术大学优秀毕业生,2017

国睿奖学金,2016

微软亚洲学者奖-提名奖,2015

中国科大-先进技术研究院奖学金,2015

研究生国家奖学金,2014


代表文章

1. Peng Yang, Ke Tang and Xin Yao. Turning High-dimensional Optimization into ComputationallyExpensive Optimization. IEEE Transactions on Evolutionary Computation, Vol. 22, Issue 1,pp. 143-156, 2018.

2. Ke Tang, Peng Yang and Xin Yao. Negatively Correlated Search. IEEE Journal on SelectedAreas in Communications, Vol. 34, Issue 3, pp. 1-9, March 2016.

3. Peng Yang, Ke Tang and Xiaofen Lu. Improving Estimation of Distribution Algorithm on Multi-modal Problems by Detecting Promising Areas. IEEE Transactions on Cybernetics, Vol. 45, Issue8, pp. 1438-1449, 2015.

4. Peng Yang, Ke Tang, Jose A. Lozano and Xianbin Cao. Path Planning for Single UnmannedAerial Vehicle by Separately Evolving Waypoints. IEEE Transactions on Robotics, Vol. 31, Issue5, pp. 1130-1146, 2015.

5. Jinhong Zhong, Peng Yang, Ke Tang. A Quality-Sensitive Method for Learning from Crowds.IEEE Transactions on Knowledge and Data Engineering, Vol. 29, Issue 12, pp. 2643-2654, 2017.

6. Peng Yang, Guanzhou Lu, Ke Tang and Xin Yao. A Multi-Modal Optimization Approach toSingle Path Planning for Unmanned Aerial Vehicle. In: Proceedings of the 2016 IEEE Congresson Evolutionary Computation (CEC2016), pp.1735-1742, Vancouver, Canada; 07/2016, IEEE.

7. Peng Yang, Ke Tang and Jose A. Lozano. Estimation of Distribution Algorithms based Unmanned Aerial Vehicle Path Planner Using a New Coordinate System. In: Proceedings of the 2014 IEEECongress on Evolutionary Computation (CEC2014), pp.1469-1476, Beijing, China; 07/2014, IEEE.

8. Peng Yang, Ke Tang, Lingxi Li and Kai Qin. Evolutionary Robust Optimization with MultipleSolutions. In: Proceedings of The 18th Asia Paci_c Symposium on Intelligent and EvolutionarySystems, Nov., 2015, Singapore; pp.611-625, Springer.

9. Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang and Ke Tang. A New Evolutionary Multi-objective Algorithm for Convex Hull Maximization. In: Proceedings of the 2015 IEEE Congresson Evolutionary Computation (CEC2015), pp.931-938, Sendai, Japan; 05/2015, IEEE.


其他信息