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    王晗丁

    • 性别:女
    • 学历:博士研究生毕业
    • 学位:工学博士学位
    • 在职信息:在职
    • 所在单位:人工智能学院
    • 入职时间: 2018-09-01
    • 所属院系: 人工智能学院
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    个人简介:

           王晗丁,西安电子科技大学电子工程学院博士,于2015年-2018年为英国萨里大学计算机系研究员。2018年入选陕西省青年千人计划,同年9月加入西安电子科技大学。研究方向包括计算智能、机器学习、多目标优化及代理模型。  

           王晗丁博士现担任IEEE计算智能协会演化计算技术委员会(Intelligent Systems Applications Technical Committee of IEEE Computational Intelligence Society)Task Force 13主席。兼职计算智能国际期刊《IEEE Computation Intelligence Magazine》和模式识别国际期刊《Complex & Intelligent Systems》编委(Associate Editor)。曾担任神经计算领域国际知名期刊《Neurocomputing》、《IEEE Transactions on Emerging Topics in Computational Intelligence》与《IEEE Access》客座编委(Guest Editor),并担任演化计算领域顶级国际会议《Genetic and Evolutionary Computation Conference》、《IEEE Congress of Evolutionary Computation》及多个其他国际会议的程序委员会成员。长期担任计算智能领域多个国际顶级期刊审稿人。


    微信公众号:Handing_Wang



    News



    Professional Services

    Editorship

    • AE, IEEE Computational Intelligence Magazine

    • AE, Complex & Intelligent Systems


    Special Issues/Sessions/Workshop

    • Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2019

    • GECCO’2018 Workshop on "Surrogate-Assisted Evolutionary Optimisation (SAEOpt 2018)"

    • Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2018

    • Special issue on "Recent Computational Methods in Knowledge Engineering and Intelligence Computation" in IEEE Access

    • Special issue on "Computational Intelligence in Data-Driven Optimization" in IEEE Transactions on Emerging Topics in Computational Intelligence

    • Special issue on "Semantic Computing and Personalization in Mobile Information Systems" in Neurocomputing

    • GECCO’2017 Workshop on "Surrogate-Assisted Evolutionary Optimisation (SAEOpt 2017)"

    • GECCO’2016 Workshop on "Surrogate-Assisted Evolutionary Optimisation (SAEOpt 2016)"

    • Special session on "Computationally Expensive Optimization" in CEC 2016


    Program Committee

    • Technical Program Committee Member of The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019) 

    • Technical Program Committee Member of The 2018 IEEE Symposium Series on Computational Intelligence (SSCI2018)

    • Workshop Chair of The 2019 IEEE Congress on Evolutionary Computation (CEC-2019)

    • Technical Program Committee Member of The 2018 IEEE World Congress on Computational Intelligence (WCCI-2018)

    • Technical Program Committee Member of The 2018 Genetic and Evolutionary Computation Conference (GECCO-2018)

    • Technical Program Committee Member of The 2017 IEEE Symposium Series on Computational Intelligence (SSCI2017)

    • Program Committee Member of The 11th International Conference on Simulated Evolution and Learning (SEAL2017)

    • Program Vice-Chair of The 10th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2017)

    • Technical Program Committee Member of The 2016 IEEE Symposium Series on Computational Intelligence (SSCI2016)

    • Technical Program Committee Member of 2016 IEEE Congress of Evolutionary Computation (CEC’16)


    Reviewers

    • IEEE Transactions on Evolutionary Computation

    • IEEE Transactions on Cybernetics

    • IEEE Transactions on Neural Networks and Learning Systems

    • IEEE Transactions on Emerging Topics in Computational Intelligence

    • IEEE Computational Intelligence Magazine

    • Evolutionary Computation

    • Soft Computing

    • Applied Soft Computing

    • Memetic Computing

    • Swarm and Evolutionary Computation

    • Information Science

    • Communications in Nonlinear Science and Numerical Simulation

    • Complex & Intelligent Systems

    • Neural Computing and Applications

    • Computational Optimization and Applications

    • International Journal of Pattern Recognition and Artificial Intelligence

    • International Journal of Bio-Inspired Computation

    • Engineering Optimization

    • Cognitive Computation

    • Knowledge-Based Systems

    • Neurocomputing

    • International Journal of Machine Learning and Cybernetics

    • IEEE Access


    Publications

    Journal Papers:

    1. Handing Wang, Yaochu Jin,A Random Forest Assisted Evolutionary Algorithm for Data-Driven Constrained Multi-Objective Combinatorial Optimization of Trauma Systems, IEEE Transactions on Cybernetics, Accepted. [Code]

    2. Jin, Yaochu, Handing Wang, Tinkle Chugh, Dan Guo, and Kaisa Miettinen, Data-Driven Evolutionary Optimization: An Overview and Case Studies,  IEEE Transactions on Evolutionary Computation, Accepted.

    3. Xingguang Peng, Yaochu Jin, Handing Wang, Multi-Modal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization, IEEE Transactions on Cybernetics, Accepted.

    4. Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty, Offline data-driven evolutionary optimization using selective surrogate ensembles, IEEE Transactions on Evolutionary Computation, Accepted. [Code]

    5. Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi, Zhang, and Yaochu Jin, A Classification Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, Accepted. [Code]

    6. Jan O Jansen, Ernest E Moore, Handing Wang, Jonathan J Morrison, James D Hutchison, Marion K Campbell, Angela Sauaia, Maximizing geographical efficiency: An analysis of the configuration of Colorado's trauma system, The journal of trauma and acute care surgery, vol.84, no.5, pp.762–770, 2018.

    7. Handing Wang, Yaochu Jin, John Doherty, A Generic Test Suite for Evolutionary Multi-Fidelity Optimization, IEEE Transactions on Evolutionary Computation, Accepted. [Code]

    8. Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin, Effectiveness and Efficiency of Non-Dominated Sorting for Evolutionary Multi- and Many-Objective Optimization, Complex & Intelligent Systems, vol.3, no.4, pp.247-263, 2017.

    9. Handing Wang, Markus Olhofer, Yaochu Jin, A Mini-Review on Preference Modeling and Articulation in Multi-Objective Optimization: Current Status and Challenges, Complex & Intelligent Systems, vol.3, no.4, pp.233-245, 2017.

    10. Handing Wang, Yaochu Jin, John Doherty, Committee-based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems, IEEE Transactions on Cybernetics, vol.47, no.9, pp.2664-2677, 2017. [Code]

    11. Handing Wang, Yaochu Jin, Xin Yao, Diversity Assessment in Many-Objective Optimization, IEEE Transactions on Cybernetics, vol.47, no.6, pp.1510-1522, 2017. [Code]

    12. Handing Wang, Shan He, Xin Yao, Nadir Point Estimation for Many-Objective Optimization Problems Based on Emphasized Critical Regions,  Soft Computing, vol.21, no.9, pp.2283–2295, 2017.

    13. Handing Wang, Yaochu Jin, Jan O Jansen, Data-Driven Evolutionary Multi-Objective Optimization with Application to Trauma System, IEEE Transactions on Evolutionary Computation, vol.20, no.6, pp.939-952, 2016.

    14. Handing Wang, Qingfu Zhang, Licheng Jiao, Xin Yao, Regularity Model for Noisy Multiobjective Optimization, IEEE Transactions on Cybernetics, vol.46, no.9, pp.1997-2009, 2016.

    15. Handing Wang, Xin Yao, Objective Reduction Based on Nonlinear Correlation Information Entropy, Soft Computing, vol.20, no.6, pp.2393-2407, 2016. [Code]

    16. Jan O Jansen, Jonathan J Morrison, Handing Wang, Shan He, Robin Lawrenson, James D Hutchison, Marion K Campbell.  Access to Specialist Care:  Optimizing the Geographical Configuration of Trauma Systems, Journal of Trauma and Acute Care Surgery, vol.79, no.5, pp.756-765, 2015.

    17. Jan O Jansen, Jonathan J Morrison, Handing Wang, Shan He, Robin Lawrenson, Marion K Campbell, David R Green. Feasibility and utility of population-level geospatial injury profiling: prospective, national cohort study. Journal of Trauma and Acute Care Surgery, vol.78, no.5, pp.962-969, 2015.

    18. Handing Wang, Licheng Jiao, Xin Yao, Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, vol.19, no.4, pp.524-541, 2015. [Code]

    19. Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu, A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space, Evolutionary Computation, vol.23, no.1, pp.69-101, 2015.

    20. Jan O Jansen, Jonathan J Morrison, Handing Wang, Robin Lawrenson, Gerry Egan, Shan He, Marion K Campbell. Optimizing Trauma System Design: The GEOS (Geospatial Evaluation of Systems of Trauma Care) Approach. Journal of Trauma and Acute Care Surgery, vol.76, no.4, pp.1035-1040, 2014.

    21. Handing Wang, Xin Yao, Corner Sort for Pareto-Based Many-Objective Optimization, IEEE Transactions on Cybernetics, vol.44, no.1, pp.92-102, 2014. [Code]

    22. Licheng Jiao, Handing Wang, Ronghua Shang, Fang Liu, A Co-evolutionary Multi-Objective Optimization Algorithm Based on Direction Vectors, Information Sciences, vol.228, pp.90-112, 2013.

    Conference Papers:

    1. John Doherty, Handing Wang, Yaochu Jin,Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization, 2018 Applied Aerodynamics Conference, 2018.

    2. Handing Wang, John Doherty, Yaochu Jin, Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization, IEEE Congress on Evolutionary Computation (CEC'2018), 2018.

    3. Esther Andrés, Daniel González, Mario Martin, Emiliano Iuliano, Davide Cinquegrana, Gerald Carrier, Jacques Peter, DidierBailly, OlivierAmoignon, PetrDvorak, DavidFunes, PerWeinerfelt, LeopoldoCarro, SanchoSalcedo, YaochuJin, John Doherty, Handing Wang, GARTEUR AD/AG-52: Surrogate-based global optimization methods in preliminary aerodynamic design, EUROGEN, 2017.

    4. Handing Wang, Yaochu Jin, Efficient Nonlinear Correlation Detection for Decomposed Search in Evolutionary Multi-Objective Optimization, IEEE Congress on Evolutionary Computation (CEC'2017), 2017.

    5. Handing WangUncertainty in Surrogate Models, presented at the Proceedings of the 2016 Genetic and Evolutionary Computation Conference (Gecco'16 Companion), 2016.


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    教育经历

    2010.8 -- 2015.6
    西安电子科技大学       电路与系统       博士研究生毕业       博士学位

    工作经历

    2015.7 -- 2018.6

    英国萨里大学      研究员

    研究方向

  • 机器学习

  • 数据挖掘

  • 代理模型辅助的进化算法

  • 数据驱动的优化

  • 多目标优化

  • 计算智能