时间:2017-06-28    浏览量:次


名: 冯亮


称: 百人计划研究员(博导,硕导)



办公地点: 主教616

E-mail: liangf@cqu.edu.cn

研究方向: 智能计算,大数据挖掘与优化,多任务优化,机器学习,多智能体系统等

招生信息: 年度招收硕士3名,博士1名,招收数学,计算机等专业。


冯亮,og游戏官网“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,IEEE Transactions on Evolutionary Computation 2019杰出论文奖。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。担任Memetic Computing及Cognitive Computing Journal副主编,获得2015 IEEE Transactions on Cybernetics Outstanding Reviewer.




1. J. Zhong,L. Feng*,W. Cai , and Y. S. Ong, "Multifactorial Genetic Programming for Symbolic Regression Problems", IEEE Transactions on Systems, Man, and Cybernetics: System, In press, 2018

2. W. Liu, L. Yang, W. Jiang, L. Feng, N. Guan, W. Zhang, N. D. Dutt, Thermal-aware Task Mapping on Dynamically Reconfigurable Network-on-Chip based Multiprocessor System-on-Chip, IEEE Transactions on Computers, Accepted, 2018.(SCI Index, JCR Rank: Q2)

3. L. Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan and A. K. Qin. Evolutionary Multi-tasking via Explicit Autoencoding, IEEE Transactions on Cybernetics, accepted, 2018 (SCI Index, JCR Rank: Q1)

4.P. Dai, K. Liu, L. Feng, H. Zhang, Victor Lee, Sang Son and Xiao Wu. Temporal Information Services in Large-Scale Vehicular Networks through Evolutionary Multi-objective Optimization. IEEE Transactions on Intelligent Transportation Systems, In Press, 2018.(SCI Index, JCR Rank: Q1)

5.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 2018

6. 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 (SCI Index, JCR Rank: Q3)

7. 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

8. 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)

9. 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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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.

15. 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)

16. 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)(*Outstanding Paper Award)

17. 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)

18. 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

19. 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)

20. 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)

21. 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)

22. 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)

23. 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)

24. 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)


1. Y. Ding, C. Chen, X. Xie, K. Liu, L. Feng. An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles. Proc. of the 15th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON’18-Demo), Hong Kong, June 11-13, 2018.

2. F. Jin, K. Liu, H. Zhang, L. Feng, C. Chen, W. Wu. Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint. Proc. of the 15th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON’18-Demo), Hong Kong, June 11-13, 2018.

3. L. Zhou, L. Feng, J. Zhong, Z. Zhu, B. Da and Z. Wu, A Study of Similarity Measure Between Tasks for Multifactorial Evolutionary Algorithm, In Proceedings of the Genetic and Evolutionary Computation Conference 2018 (GECCO '18), 2018.

4. W. Zhou, L. Feng, S. Jiang, S. Zhang, Y. Hou, Y.-S. Ong, Z. Zhu, and K. Liu, A Preliminary Study of Adaptive Indicator based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding, IEEE WCCI-CEC, 2018

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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

13. 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.

14. 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.

15. 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.

16. 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.

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

18. 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.

19. 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.

20. 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.

21. 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)

22. 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.

23. 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.

24. 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.

25. 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.


1. 国家自然科学基金面上项目,基于迁移学习的智能多任务高性能优化算法研究 (在研)

2. 国家自然科学基金青年项目,基于迁移学习和模因计算的智能交通路径规划研究 (在研)

3. 重庆市科技计划项目基础科学与前沿技术研究专项资助项目,基于数据挖掘和模式识别的智能交通路径规划研究(在研)

4. og游戏官网中央高校基本科研业务费专项资助项目:面向智慧城市物流的智能路径优化算法研究 (结题)




IEEE CIS Task Force on "Transfer Learning & Transfer Optimization",主席

担任SCI期刊Memetic Computing Journal及Cognitive Computing Journal副主编

担任2016,2017,2018及2019多个国际智能计算大会(IEEE CEC)专题主席;担任2017,2018及2019国际智能计算大会(IEEE CEC)多任务优化竞赛主席

担任多个国际会议如AAAI、IJCAI、IEEE CEC、ACM GECCO,等评议委员会委员;担任多个国际顶级期刊如IEEE TEVC,IEEE Cybernetics、MIT ECJ、IEEE TNNLS等评审。