YANG, Peng    Research Assistant Professor



Room 913, Building A7, Nanshan i-Park

Research Area:

Evolutionary Computation, Intelligent Logistics

Educational Background

2012.09-2017.06: Department of Computer Science and Technology, University of Science and Technology of China, China. Ph.D.

2015.10.04-2015.10.24: National Institute of Informatics, Japan. Visiting Student. (Founded by Japan Science Technology Agency)

2014.07-2015.01: Department of Computer Science, University of Birmingham, U.K.. Visiting Student. (Funded by European Union)

2013.11-2014.05: Faculty of Informatics, University of Basque Country, Spain. Visiting Student. (Funded by European Union)

2008.09-2012.06:Department of Computer Science and Technology, University of Science and Technology of China, China. B.Sc.

Professional Experience

2018.02-present: Department of Computer Science and Engineering, Southern University of Science and Technology, China. Research Assistant Professor

2017.07-2018.01: IT Algorithm Department, Huawei Technologies CO., LTD., China. Senior Engineer

Honors & Awards

Special Prize of Presidential Scholarship of Chinese Academy of Sciences, 2017.

Excellent Graduate Student of Anhui Province, 2017.

Excellent Graduate Student of University of Science and Technology of China, 2017.

Guorui Scholarship, 2016.

Microsoft Research Asia Fellowship (Nomination Award), 2015.

USTC-Institute of Advanced Manufacturing Technology Scholarship, 2015.

National Scholarship for Graduate Students, 2014.

Selected Publication

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.