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    王晗丁

    • 教授 博士生导师 硕士生导师
    • 性别:女
    • 毕业院校:西安电子科技大学
    • 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
    • 电子邮箱:

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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9月加入西安电子科技大学,并入选陕西省高层次人才。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》、《Complex & Intelligent Systems》和《Memetic Computing》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。


    关于招生

    硕士/博士研究生招生专业:

    • 081200 计算机科学与技术

    • 081100 控制科学与工程

    • 0854电子信息(专业学位)(方向1:电子与通信工程+方向2:计算机技术)


    Q1:请先了解我的研究方向,如果你感兴趣且想和我一起工作

    欢迎电邮你的个人简历至hdwang@xidian.edu.cn

    Q2:西电人工智能学院的推免/优研政策和流程是怎样的呢?

    2021年推免硕士研究生接收方案

    2021年优研计划通知

    Q3:关于想来读博的同学,需要认真严肃考虑什么问题呢?

    A.是否对我的科研方向感兴趣?B.你的职业规划是什么呢?C.你的经济负担是怎样的?

    PS: 关于推免,无直博要求,也不推荐盲目直博。

    PPS:未来完成的工作,不区分硕士或博士,统统学生本人一作 

    PPPS: 爱编程的女同学优先


    微信公众号:Handing_Wang



    News



    Professional Services

    Editorship

    • AE, IEEE Computational Intelligence Magazine

    • AE, Complex & Intelligent Systems

    • AE, Memetic Computing


    Special Issues/Sessions/Workshop/Competition

    • Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2021

    • Special Issue on "Knowledge Transfer in Evolutionary Optimization" in IEEE Computational Intelligence Magazine

    • Special Issue on "Evolutionary Optimization of Large Complex Problems " in Complex & Intelligent Systems

    • Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2020

    • Competition on "Offline Data-Driven Evolutionary Optimization" in CEC 2020

    • IEEE Symposium on "Computational Intelligence in Big Data" in SSCI 2019

    • Competition on "Online Data-Driven Multi-Objective Optimization" in CEC 2019

    • Workshop on "Data-driven Optimization and Applications" in CEC 2019

    • 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

    • Program Chairs of International Conference on Evolutionary Multi- Criterion Optimization (EMO2021)

    • Technical Program Committee Member of The 2019 Genetic and Evolutionary Computation Conference (GECCO-2019)

    • 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, Liang Feng, Yaochu Jin, and John Doherty, Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios, IEEE Computational Intelligence Magazine, accepted.

    2. Handing Wang, Yaochu Jin, Cuie Yang, and Licheng Jiao, Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm, Applied Soft Computing, accepted. [Code]

    3. Cheng He, Ye Tian, Handing Wang, and Yaochu Jin. A repository of real-world datasets for data-driven evolutionary multiobjective optimization. Complex & Intelligent Systems, vol.6, no.1, pp.189–197, 2020.

    4. Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang,Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-based Performance Predictor, IEEE Transactions on Evolutionary Computation, vol.24, no.2, pp.350 - 364, 2020.

    5. 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, vol.50, no.2, pp.536-549, 2020. [Code]

    6. Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, and Kaisa Miettinen, Data-Driven Evolutionary Optimization: An Overview and Case Studies,  IEEE Transactions on Evolutionary Computation, vol.23, no.3, pp.442-458, 2019.

    7. Xingguang Peng, Yaochu Jin, Handing Wang, Multi-Modal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization, IEEE Transactions on Cybernetics, vol.49, no.9, pp. 3507-3520, 2019.

    8. Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty, Offline data-driven evolutionary optimization using selective surrogate ensembles, IEEE Transactions on Evolutionary Computation, vol.23, no.1, pp.203-216, 2019. [Code]

    9. 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, vol.23, no.1, pp.77–88, 2019. [Code]

    10. 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.

    11. Handing Wang, Yaochu Jin, John Doherty, A Generic Test Suite for Evolutionary Multi-Fidelity Optimization, IEEE Transactions on Evolutionary Computation, vol.22, no.6, pp.836-850, 2018. [Code]

    12. 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.

    13. 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.

    14. 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]

    15. 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]

    16. 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.

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

    18. 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.

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

    20. 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.

    21. 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.

    22. 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]

    23. 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.

    24. 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.

    25. 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]

    26. 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. Zheng Tan, Handing Wang, A Kriging-Assisted Evolutionary Algorithm Using Feature Selection for Expensive Sparse Multi-Objective Optimization, IEEE Congress on Evolutionary Computation (CEC'2020), 2020.

    2. Zhenshou Song, Handing Wang, Steady-State Brain Storm Optimization Using Double Roulette Selection, The 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), 2019

    3. Pengfei Huang, Handing Wang, Wenping Ma, Stochastic Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels, The 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), 2019. [Code]

    4. Xu Tang, Handing Wang, Changzhe Jiao , Multi-Objective Evolutionary Metric Learning for Image Retrieval Using Convolutional Neural Network Features, IEEE Congress on Evolutionary Computation (CEC'2019), 2019.

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

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

    7. 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.

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

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


    Book Chapters:

    1. Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin, Surrogate-Assisted Evolutionary Optimization of Large Problems. In: Bartz-Beielstein T., Filipič B., Korošec P., Talbi EG. (eds) High-Performance Simulation-Based Optimization. Studies in Computational Intelligence, vol 833. Springer, Cham, 2020


    更多详情请参见:


    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