馮亮(重慶大學計算機學院博士生導師)

馮亮(重慶大學計算機學院博士生導師)

馮亮,男,重慶大學“百人計畫”研究員、博士生導師、重慶市高層次引進人才,新加坡南洋理工大學博士。先後在南洋理工智慧型計算實驗中心,多平台遊戲創新中心,以及新加坡A*Star南洋理工聯合複雜系統實驗室從事研究工作。

研究方向包括(但不局限於)智慧型計算,大數據挖掘與最佳化,機器學習,以及多智慧型體系統等。相關研究成果先後發表於IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Intelligent System, World Congress on Computational Intelligence等國際主流期刊及會議。獲得IEEE Congress on Evolutionary Computation 2012 最佳學生論文提名,IEEE Transactions on Evolutionary Computation 2019傑出論文獎。受邀為多個國際期刊會議審稿人,包括:IEEE TEVC, IEEE TNNLS, IEEE TSMC, ECJ, IJSS, Applied Soft Computing, Soft Computing, Memetic Computing, CEC, GECCO等。擔任Memetic Computing及Cognitive Computing Journal副主編,獲得2015 IEEE Transactions on Cybernetics Outstanding Reviewer.

基本介紹

  • 中文名:馮亮
  • 畢業院校:新加坡南洋理工大學
  • 學位/學歷:博士
  • 專業方向:智慧型計算,大數據挖掘與最佳化,多任務最佳化等
  • 任職院校:重慶大學
研究方向,學術成果,期刊論文,會議論文,項目,社會兼職,

研究方向

智慧型計算,大數據只殼循挖掘與優熱己舟化捆犁店,多任務最佳化,機器學習甩兵,多智陵膠烏肯能體系統等

學術成果

期刊論文

1. J. Zhong,L. Feng*,W. Cai , and Y. S. Ong, "Multifactorial Genetic Programming for Symbolic Regression Problems"套鑽察陵,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 andL. Feng, "嫌道記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. Fengand 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 andL. 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 andL. 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)

會議論文

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, andL. 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. Fengand 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. Fengand D. Handoko, "Landscape Synergy in Evolutionary Multitasking",IEEE WCCI-CEC 2016, Vancouver, Canada
18. B. Da, A. Gupta Y. S. Ong, andL. 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 Computation2012.(*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.

項目

1. 國家自然科學基金面上項目,基於遷移學習的智慧型多任務高性能最佳化算法研究 (在研)
2. 國家自然科學基金青年項目,基於遷移學習和模因計算的智慧型交通路徑規劃研究 (在研)
3. 重慶市科技計畫項目基礎科學與前沿技術研究專項資助項目,基於數據挖掘和模式識別的智慧型交通路徑規劃研究(在研)
4. 重慶大學中央高校基本科研業務費專項資助項目:面向智慧城市物流的智慧型路徑最佳化算法研究 (結題)

社會兼職

電機電子工程師學會通信協會(IEEE)以及IEEE計算智慧型協會成員
中國計算機協會會員;中國計算機協會智慧型仿真最佳化與調度專委會委員
IEEE CIS Task Force on "Transfer Learning & Transfer Optimization",主席
擔任SCI期刊Memetic Computing Journal及Cognitive Computing Journal副主編
擔任2016,2017,2018及2019多個國際智慧型計算大會(IEEE CEC)專題主席;擔任2017,2018及2019國際智慧型計算大會(IEEE CEC)多任務最佳化競賽主席
擔任多個國際會議如AAAI、IJCAI、IEEE CEC、ACM GECCO,等評議委員會委員;擔任多個國際頂級期刊如IEEE TEVC,IEEE Cybernetics、MIT ECJ、IEEE TNNLS等評審。
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 andL. 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. Fengand 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 andL. 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 andL. 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)

會議論文

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, andL. 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. Fengand 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. Fengand D. Handoko, "Landscape Synergy in Evolutionary Multitasking",IEEE WCCI-CEC 2016, Vancouver, Canada
18. B. Da, A. Gupta Y. S. Ong, andL. 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 Computation2012.(*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.

項目

1. 國家自然科學基金面上項目,基於遷移學習的智慧型多任務高性能最佳化算法研究 (在研)
2. 國家自然科學基金青年項目,基於遷移學習和模因計算的智慧型交通路徑規劃研究 (在研)
3. 重慶市科技計畫項目基礎科學與前沿技術研究專項資助項目,基於數據挖掘和模式識別的智慧型交通路徑規劃研究(在研)
4. 重慶大學中央高校基本科研業務費專項資助項目:面向智慧城市物流的智慧型路徑最佳化算法研究 (結題)

社會兼職

電機電子工程師學會通信協會(IEEE)以及IEEE計算智慧型協會成員
中國計算機協會會員;中國計算機協會智慧型仿真最佳化與調度專委會委員
IEEE CIS Task Force on "Transfer Learning & Transfer Optimization",主席
擔任SCI期刊Memetic Computing Journal及Cognitive Computing Journal副主編
擔任2016,2017,2018及2019多個國際智慧型計算大會(IEEE CEC)專題主席;擔任2017,2018及2019國際智慧型計算大會(IEEE CEC)多任務最佳化競賽主席
擔任多個國際會議如AAAI、IJCAI、IEEE CEC、ACM GECCO,等評議委員會委員;擔任多個國際頂級期刊如IEEE TEVC,IEEE Cybernetics、MIT ECJ、IEEE TNNLS等評審。

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