Peng Yang (杨鹏)Ph.D
Curriculum Vitae
Email: yangp@sustech.edu.cn
Office: Room 913, Nanshan ipark A7 building, Nanshan district, Shenzhen, China.

Research InterestMy research interests focus on Real-time Evolutionary Computation System and its applications.

Educational Experience2012.9 - 2017.6: Ph.D Degree, Department of Computer Science and Technology, University of Science and Technology of China, China
2008.9 - 2012.6: B.Eng Degree, Department of Computer Science and Technology, University of Science and Technology of China, China

Research Experience2018.2 - present: Research Assistant Professor, Department of Computer Science and Engineering, Southern University of Science and Technology
2017.7 - 2018.01: Senior Engineer, IT Algorithm Department, Huawei Technologies CO., LTD., China
2012.9 - 2017.6: Research Assistant, USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), University of Science and Technology of China, China
2015.10.4 - 2015.10.24: Visiting Student, National Institute of Informatics, Japan
2014.7 - 2015.1: Visiting Student, The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), University of Birmingham, U.K.
2013.11 - 2014.5: Visiting Student, The Intelligent Systems Group, University of Basque Country, Spain

PublicationsReferred Journal PublicationsShengcai Liu, Peng Yang, Ke Tang, and Xin Yao. Few-shots Parallel Algorithm Portfolio Construction via Co-evolution. IEEE Transactions on Evolutionary Computation. 2021, in press.
Peng Yang, Qi Yang, Ke Tang, and Xin Yao. Parallel Exploration via Negatively Correlated Search. Frontiers of Computer Science. 2020, in press.
Wenjing Hong, Peng Yang, and Ke Tang. Evolutionary Computation for Large-Scale Multi-Objective Optimization: A Decade of Progresses. International Journal of Automation and Computing. 2020, in press.
Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, and Ke Tang. A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multimedia Tools and Applications, 2020, in press.
Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, and Ke Tang. Optimal Energy-Delay Scheduling for Energy Harvesting WSNs with Interference Channel via Negatively Correlated Search. IEEE Internet of Things Journal, Vol. 7, Issue 3, pp. 1690-1703, 2020.
Peng Yang, Ke Tang and Xin Yao. A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. IEEE Access, vol. 7, pp. 163105-163118, 2019.
Peng Yang, Ke Tang and Xin Yao. Turning High-dimensional Optimization into Computationally Expensive Optimization. IEEE Transactions on Evolutionary Computation, Vol. 22, Issue 1, pp. 143-156, 2018.
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.
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, Issue 8, pp. 1438-1449, 2015.
Peng Yang, Ke Tang, Jose A. Lozano and Xianbin Cao. Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. IEEE Transactions on Robotics, Vol. 31, Issue 5, pp. 1130-1146, 2015
Ke Tang, Peng Yang and Xin Yao. Negatively Correlated Search. IEEE Journal on Selected Areas in Communications, Vol. 34, Issue 3, pp. 1-9, March 2016.
Referred Conference PublicationsWenjing Hong, Peng Yang, Yiwen Wang, and Ke Tang. Multi-Objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. In: Proceedings of the 2020 International Conference on Parallel Problem Solving from Nature (PPSN XVI), Leiden, Netherlands; 09/2020.
Yunwen Lei, Peng Yang, Ke Tang, and Ding-Xuan Zhou. Optimal Stochastic and Online Learning with Individual Iterates. In: Proceedings of Conference and Workshop on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada; 12/2019.
Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, and Xin Yao. An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. In: Proceedings of the 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019), Wellington, New Zealand; 06/2019.
Dongbing Jiao, Peng Yang, Liqun Fu, Liangjun Ke, and Ke Tang. Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. In: Proceedings of the 2019 International Conference on Communications (ICC 2019), Shanghai, China; 07/2019.
Dongjun Qian, Peng Yang, and Ke Tang. A Fast Heuristic Path Computation Algorithm for Batch Bandwidth Constrained Routing Problem in SDN. In: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence （PRICAI2018），Nanjing, China; 08/2018, Springer. To appear.
Peng Yang, Guanzhou Lu, Ke Tang and Xin Yao. A Multi-Modal Optimization Approach to Single Path Planning for Unmanned Aerial Vehicle. In: Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), pp.1735-1742, Vancouver, Canada; 07/2016, IEEE.
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 IEEE Congress on Evolutionary Computation (CEC2014), pp.1469-1476, Beijing, China; 07/2014, IEEE.
Peng Yang, Ke Tang, Lingxi Li and Kai Qin. Evolutionary Robust Optimization with Multiple Solutions. In: Proceedings of The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Nov., 2015, Singapore; pp.611-625, Springer.
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 Congress on Evolutionary Computation (CEC2015), pp.931-938, Sendai, Japan; 05/2015, IEEE.

Awards中国人工智能学会优博（入围奖）, 2018
中国科学院院长奖-特别奖, 2017
微软亚洲****奖（提名奖）, 2015

Grants基于云原生技术的高性能信息服务系统的关键技术研究，深圳证券信息有限公司横向课题，2020/12-2021/11，主持。
面向开放博弈场景的演化强化学习，深圳市稳定支持计划面上项目，2020/09-2021/08，主持。
面向xxxx泛化生成的演化博弈xx技术，军科委xxxx基金项目，2020/12-2022/11，子课题负责。
大规模分布式演化算法及其在云计算资源管理中的应用，国家自然科学基金青年项目，2019/01-2021/12，主持。
Robust Optimization with Multiple Solutions, IEEE Computational Intelligence Society Graduate Student Research Grants, 2015/06-2015/08.

Professonal ServicesSpecial SessionCo-chair of Special Session on "Evolutionary Optimization: Foundations and Its applications to Intelligent Data Analytics" at ICIC'18.
Invited Talks"Large-scale Distributed Evolutionary Computational Engine", Huawei Technologies CO., LTD., Shenzhen, China; 09/2019.
"Large-scale Distributed Evolutionary Computation", the 6th Chinese Workshop on Evolutionary Computation and Learning (ECOLE'2019), Xiangtan, China; 05/2019.
"Turning High-dimensional Optimization into Computationally Expensive Optimization", the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2018), Nanjing, China; 08/2018.
Journal ReviewerIEEE Transactions on Evolutionary Computation
IEEE Transactions on Industrial Electronics
IEEE Transactions on Emerging Topics in Computational Intelligence
Information Sciences
Swarm and Evolutionary Computation
IEEE Computational Intelligence Magazine
Applied Soft Computing
Frontiers of Computer Science
Computers & Operations Research
Complex & Intelligent Systems
Memetic Computing
Natural Computing
SCIENCE CHINA Information Sciences
IEEE Access
Journal of Systemics, Cybernetics, and Informatics (JSCI)
Conference PC memberThe International Conference on Machine Learning (ICML'20)
The Association for the Advancement of Artificial Intelligence (AAAI'19, AAAI'20, AAAI'21)
The International Joint Conferences on Artificial Intelligence (IJCAI’18, IJCAI'19, IJCAI'20)
The IEEE Congress on Evolutionary Computation (IEEE CEC'19, CEC'20)
The International Conference on Simulated Evolution and Learning (SEAL'17)
The IEEE Symposium Series on Computational Intelligence (SSCI’16, SSCI'21)
The International Conference on Evolutionary Multi-Criterion Optimization (EMO’21)
The World Multi-Conference on Systemics, Cybernetics And Informatics (WMSCI’15, WMSCI'18)

StudentsMaster StudentsJianqi Cao (2020 - ).
Lang Fu (2020 - ).
Laoming Zhang (2020 - ).
Shun Lu (2020 - ).
Ge Guo (2020 - ).
Lan Tang (2020 - ).
Muyao Zhong (2018 - 2020, now pursuing Ph.D degree at SUSTech).
Binjie Kang (2018 - 2020, now working as an Engineer at Huawei Technology Co., Ltd.).
Di Hu (2018 - 2020, now working as an Engineer at MI Technology Co., Ltd.).
Undergraduate StudentsEr Zhuo (2016-2020, Excellent Graduate Student of DCSE of SUSTech, 1 EI-indexed paper, 1 invention patent, now pursing Master degree at University of California San Diego, USA).
Yunjie Deng (2016-2020, Excellent Graduate Student of DCSE of SUSTech, 1 EI-indexed paper, 1 invention patent, now pursing Master degree at SUSTech).
Zhewei Su (2016-2020, 1 EI-indexed paper, 1 invention patent, now pursing Master degree at Rice University, USA).

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