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师资队伍
  
教职员工
硕士导师
博士导师

冯亮


 

姓名:冯亮
职称:研究员/博导
专业:
智能计算,大数据挖掘与优化,机器学习,多智能体系统等
联系方式:
liangf@cqu.edu.cn

 

   

课题组计划招收博士研究生、硕士研究生。主要研究方向包括数据挖掘和迁移学习(Data Mining&Transfer Learning)、智能计算(Computatioanl Intelligence)、多智能体系统(Multi-Agent System)、模因计算(Memetic Computing)等。希望申请的同学需具备一定相关专业背景知识和英文读写能力,且具备较强主动学习、思考和探索能力。请有意申请者发送简历至liangf[@]cqu.edu.cn/brightfengs[@]gmail.com。

 

冯亮为重庆大学“百人计划”研究员、博士生导师、重庆市高层次引进人才,新加坡南洋理工大学博士。先后在南洋理工智能计算实验中心,多平台游戏创新中心,以及新加坡A*Star南洋理工联合复杂系统实验室从事研究工作。研究方向包括(但不局限于)智能计算,大数据挖掘与优化,机器学习,以及多智能体系统等。相关研究成果先后发表于IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Intelligent System, World Congress on Computational Intelligence等国际主流期刊及会议。获得IEEE Congress on Evolutionary Computation 2012 最佳学生论文提名。受邀为多个国际期刊会议审稿人,包括:IEEE TEVC, IEEE TNNLS, IEEE TSMC, ECJ, IJSS, Applied Soft Computing, Soft Computing, Memetic Computing, CEC, GECCO等。获得2015 IEEE Transactions on Cybernetics Outstanding Reviewer.



[Call For Paper]

Special Session on "Transfer Learning in Evolutionary Computation", click here!

Special Session on "Memetic Computing"click here!


[Call For Participation]

WCCI2018 Competition on Evolutionary Multi-task Optimization, click here!


"For more info on 'Multifactorial Evolution- Evolutionary Multitasking', Benchmark Problems, Publications and Source Codes DownloadsClick here!"

  • B. Da, Y. S. Ong, L. Feng, A.K. Qin, A. Gupta, Z. Zhu, C. K. Ting, K. Tang, and X. Yao, "Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results", Technical Report, 2016 Available here as PDF file

  • Y. Yuan, Y. S. Ong, L. Feng, A.K. Qin, A. Gupta., B. Da, Q. Zhang, K. C. Tan, Y. Jin, and H. Ishibuchi, "Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results", Technical Report, 2016. Available here as PDF file

 



期刊论文

1. A. Gupta, Y. S. Ong and L. Feng, "Insights on Transfer Optimization: Because Experience is the Best Teacher", IEEE Transactions on Emerging Topics in Computational Intelligence, In Press 2017

2. L. Feng, A. Gupta and Y. S. Ong, "Compressed Representation for Higher-Order Meme Space Evolution: A Case Study on Big Knapsack Problems", Memetic Computing, In Press 2017

3. C. Chen, S. Jiao, S. Zhang, W. Liu, L. Feng, Y. Wang.TripImputor: Real-time Imputing Taxi Trip Purpose Leveraging Multi-sourced Urban Data. IEEE Transactions on Intelligent Transportation Systems (T-ITS), to appear, 2017

4. K. Liu, H. Zhang, J. Ng, Y. Xia, L. Feng, V. Lee and S. Son. Towards Low Overhead Fingerprint-based Indoor Localization via Transfer Learning: Design, Implementation and Evaluation. IEEE Transactions on Industrial Informatics, to appear,2017 (SCI Index, JCR Rank: Q1)

5. K. Liu, L. Feng, P. Dai, V. Lee, S. Son and J. Cao. Coding-assisted Broadcast Scheduling via Memetic Computing in SDN-based Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, to appear, 2017. (SCI Index, JCR Rank: Q1)

6. J. Zhong, L. Feng*, and Y. S. Ong, "Gene Expression Programming: A Survey", IEEE Computational Intelligence Magazine, In Press, 2017. (SCI Index, JCR Rank: Q1)

7. L. Feng, Y. S. Ong, S. Jiang and A. Gupta, "Autoencoding Evolutionary Search with Learning across Heterogeneous Problems", IEEE Transactions on Evolutionary Computation, In Press, 2017. (SCI Index, JCR Rank: Q1)

8. Y. Hou, Y. S. Ong, L. Feng* and J. M. Zurada, "An Evolutionary Transfer Reinforcement Learning Framework for Multi-Agent System", IEEE Transactions on Evolutionary Computation, In Press, 2017. (SCI Index, JCR Rank: Q1)

9. P. Dai, K. Liu, L. Feng, Q. Zhuge, V. Lee and S. Son. Adaptive Scheduling for Real-time and Temporal Information Services in Vehicular Networks. Transportation Research Part C: Emerging Technologies, volume 71, pp.313-332, October 2016. (SCI Index, JCR Rank: Q1)

10. S. Jiang, C. Xu, A. Gupta, L. Feng, Y. S. Ong, A. N. Zhang, and P. S. Tan, “Complex and Intelligent Systems in Manufacturing and Supply Chain”, IEEE Potentials Magazine, vol. 35, no. 4, pp. 23-28, 2016.

11. A. Gupta, Y. S. Ong, L. Feng and K. C. Tan, "Multi-Objective Multifactorial Optimization in Evolutionary Multitasking", IEEE Transactions on Cybernetics, Accepted 2016.(SCI Index, JCR Rank: Q1)

12. A. Gupta, Y.-S. Ong and L. Feng, "Multifactorial Evolution: Towards Evolutionary Multitasking", IEEE Transactions on Evolutionary Computation, Accepted, 2015. (SCI Index, JCR Rank: Q1)

13. L. Feng, Y.-S. Ong, A. H. Tan and I. W. Tsang, "Memes as Building Blocks: A Case Study on Evolutionary Optimization + Transfer Learning for Routing Problems", Memetic Computing Journal, Accepted, 2015. (SCI Index, JCR Rank: Q3)

14. L. Feng, Y. S. Ong, X. Chen and C. Chen, “Conceptual Modeling of Evolvable Local Searches in Memetic Algorithms using Linear Genetic Programming: A Case Study on Capacitated Vehicle Routing Problem”, Soft Computing Journal, Accepted 2015

15. L. Feng, A.-H. Tan, M. -H. Lim, and S. Jiang. "Band Selection for Hyperspectral Images Using Probabilistic Memetic Algorithm", Soft Computing, Accepted, 2014. (SCI index, JCR Rank: Q3)

16. L. Feng, Y.-S. Ong, M.-H. Lim, and Ivor W. Tsang. "Memetic Search with Inter-Domain Learning: A Realization between CVRP and CARP", IEEE Transactions on Evolutionary Computation, Accepted, 2014.(SCI Index, JCR Rank: Q1)

17. S. Jiang, Y.-S, Ong, J. Zhang and L. Feng. "Consistencies or Contradictions of Performance Metrics in Multiobjective Optimization", IEEE Transactions on Cybernetics, Accepted, 2014. (SCI Index, JCR Rank: Q1)

18. L. Feng, Y-S. Ong and M.-H. Lim. "Extreme Learning Machine Guided Memetic Computation for Vehicle Routing", IEEE Intelligent System, Vol 28, No. 6, 2013. (SCI Index, JCR Rank: Q1)

19. X. Chen, L. Feng, Y.-S. Ong."A Self-Adaptive Memeplexes Robust Search Scheme for Solving Stochastic Demands Vehicle Routing Problem",International Journal of Systems Science,  43:1347-1366, 2012. (SCI Index, JCR Rank: Q1)

20. L. Feng, M. Qiu, Y. Wang, Q. Xiang, Y. Yang, K. Liu. "A Fast Divisive Clustering Algorithm Using An Improved Discrete Particle Swarm Optimizer", Pattern Recognition Letter,  Vol. 31, pp. 1216-1225, 2010. (SCI Index, JCR Rank: Q2)

 


会议论文

1. Y. Li, Z. Huang, J. Zhong, and L. Feng, Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink, the 11th International Conference on Simulated Evolution and Learning, November 10-13, 2017, Shenzhen, China.

2. Kai Liu, L. Feng, Penglin Dai, Weiwei Wu, Victor Lee and Sang Son, A Memetic Algorithm for Cache aided Data Broadcast with Network Coding in Vehicular Networks. 2017 IEEE Global Communications Conference: Mobile and Wirelesss Networks, Singapore, December 4-8, 2017.

3. L. Feng, W. Zhou, L. Zhou, S. W. Jiang, J. H. Zhong, B. S. Da, Z. X. Zhu, and Y. Wang, "An Empirical Study of Multifactorial PSO and Multifactorial DE", IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.

4. L. Zhou, L. Feng, A. Gupta, Y.-S. Ong, K. Liu, C. Chen, E. Sha, B. Yang and B. W. Yan, "Solving Dynamic Vehicle Routing Problem via Evolutionary Search with Learning Capability", IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.

5. K. Bali, A. Gupta, L. Feng, Y. S. Ong, and P. S. Tan, "Linearized Domain Adaptation in Evolutionary Multitasking", IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.

6. J. Wang, K. Liu, P. Dai, E.  Sha, L. Feng, C. Chen and C. Xiao. "Cooperative Information Services Based on Predictable Trajectories in BusVANETs". Proc. of the 18th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC'16), Sydney, Australia, December 12-14 2016.

7. L. Zhou, L. Feng, J. Zhong, Y. -S. Ong, Z. Zhu, E. Sha, "Evolutionary Multitasking in Combinatorial Search Spaces: A Case Study in Capacitated Vehicle Routing Problem", The 2016 IEEE Symposium Series on Computational Intelligence, 2016.

8. P. Dai, K. Liu, L. Feng, Q. Zhuge, V. Lee and S. Son. "Towards Real-Time and Temporal Information Servicesin Vehicular Networks via Multi-Objective Optimization". Proc. of the 41st IEEE Conferenceon Local Computer Networks (IEEE LCN'16), Dubai, UAE, November7-10, 2016

9. Z. Ye, L. Feng, Y. S. Ong, K. Liu, C. Chen and E. Sha, "A Preliminary Study on Distance Selection in Probabilistic Memetic Framework for Capacitated Arc Routing Problem", IEEE WCCI-CEC 2016, Vancouver, Canada.

10. S. Jiang, L. Feng, K. H., Q. C. Nguyen, Y. S. Ong, A. N. Zhang and P. S. Tan, "Adaptive Indicator-based Evolutionary Algorithm for Multiobjective Optimization Problems", IEEE WCCI-CEC 2016, Vancouver, Canada.

11. S. Jiang, L. Feng, D. Yang, Y. S. Ong, A. N. Zhang, P. S. Tan, Z. Cai and C. K. Heng, "Towards Adaptive Weight Vectors for Multiobjective Evolutionary Algorithm by Decomposition", IEEE WCCI-CEC 2016, Vancouver, Canada.

12. Y. Hou, L. Feng and Y. S. Ong, "Creating Human-Like Non-Player Game Characters using A Memetic Multi-Agent System", IEEE WCCI-IJCNN 2016, Vancouver, Canada.

13. A. Gupta, Y. S. Ong, B. Da, L. Feng and D. Handoko, "Landscape Synergy in Evolutionary Multitasking", IEEE WCCI-CEC 2016, Vancouver, Canada

14. B. Da, A. Gupta Y. S. Ong, and L. Feng, "Evolutionary Multitasking across Single and Multi-Objective Formulations for Improved Problem Solving", IEEE WCCI-CEC 2016, Vancouver, Canada.

15. B. Da, A. Gupta, Y.-S. Ong, L. Feng, and P. S. Tan.  "The Boon ofGene-Culture Interaction for Effective Evolutionary Multitasking", Australasian Conference on Artificial Lifeand Computational Intelligence (ACALCI 2016), Accepted, 2016.

16. X. S. Chen, Y.-S. Ong, L. Feng, M. H. Lim, C. S. Chen and C S. Ho. "Memetic Ant Colony System for Resource Gathering on Navigation Graph", The 17th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2013.

17. L. Feng, Y.-S. Ong, Ivor W. H. Tsang, and A.-H.Tan, "An Evolutionary Search Paradigm that Learns with Past Experiences", IEEE World Congress on Computation Intelligence, Congress on Evolutionary Computation 2012. (*Best Student Paper Award Nomination)

18. L. Feng, Y.-S. Ong, A.-H. Tan and X. Chen "Towards Human-likeSocial Multi-agents with Memetic Automaton", IEEE Congress on Evolutinary Computation 2011, pp. 1092-1099, 2011.

19. Z. Pan, L. Feng, Y.-S. Ong, Y. Kang, A.-H. Tan and C. Miao. "Meme Selection, Variation and Transmission in Multi-agentSystem", World Automation Congress 2010, Kobe, Japan, pp. 1-6. 2010.

20. L. Feng, Y.-S. Ong, Q. H. Nguyen and A.-H.Tan. "Towards Probabilistic Memetic Algorithm: An Initial Study onCapacitated Arc Routing Problem", IEEE World Congress on ComputationalIntelligence, Congress on Evolutionary Computation 2010. Barcelona, Spain, pp. 18-23, 2010.

21. L. Feng, Y. Yang and Y. Wang. "A New Approach toAdapting Control Parameters in Differential Evolution Algorithm", The7th International Conference on Simulated Evolution And Learning (SEAL2008), pp. 21-30, 2008.

 

 

学术服务

电机电子工程师学会通信协会(IEEE)以及IEEE计算智能协会成员

中国计算机学会(CCF)会员

Vice Chair of IEEE Computational Intelligence Society, Emergent Technologies Task Force on Memetic Computing

 


国际会议专题及竞赛主席

Co-chair of the special session "Genetic programming and its applications" will be held at ICONIP 2017.

Co-chair of the competition: "Multifactorial Optimization: Evolutionary Single and Multi-Objective Multi-Tasking" , CEC 2017.

Co-chair of Special Session on Memetic Computing, IEEE CEC 2017, June 5–8, Donostia - San Sebastián, Spain, 2017.

Co-chair of Special Session on Memetic Computing, IEEE WCCI 2016, July 25–29, Vancouver, Canada, 2016.

Co-chair of Special Session on Optimization Neural Network via Evolutionary Computation and Swarm Intelligence, IEEE WCCI 2016, July 25–29, Vancouver, Canada, 2016.

Co-chair of Special Session on Multitasking and Knowledge Transferin Evolutionary Computation, IEEE SSCI 2016, Dec. 6-9, Greece, 2016.

 

 

国际会议委员(PC Member)

ICONIP: International Conference on Neural Information Processing 2012

GECCO: The Genetic and Evolutionary Computation Conference 2015

GECCO: The Genetic and Evolutionary Computation Conference 2016

SSCI: IEEE Symposium Series on Computational Intelligence 2016

 


学术期刊评审

IEEE Transactions on Evolutionary Computation

IEEE Transactions on Cybernetics

IEEE Transactions on Neural Networks and Learning Systems

Evolutionary Computation Journal

Computational Intelligence

Soft Computing

Information Science

Applied Soft Computing

Neurocomputing等

 


国际会议评审

CEC: Congress on Evolutionary Computation

GECCO: The Genetic and Evolutionary Computation Conference

SEAL:International Conference on Simulated Evolution and Learning

IES:Asia Pacific Symposium on Intelligent and EvolutionarySystems

ICONIP: International Conference on Neural InformationProcessing

SMC: IEEE Systems, Man & Cybernetics Conference 等

 

 

 

 

 

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