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    王晗丁

    • 教授 博士生导师 研究生导师
    • 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：在岗
    • 所在单位：人工智能学院
    • 入职时间： 2018-09-01
    • 办公地点：网安大楼CⅡ-0823
    • 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，并入选省级青年人才。2020年入选国家级青年人才。研究方向包括计算智能、机器学习、代理模型辅助的优化及对抗攻防。  

           王晗丁博士现兼职计算智能国际期刊《IEEE Transactions on Evolutionary Computation》、《IEEE Computation Intelligence Magazine》、《Complex & Intelligent Systems》和《Memetic Computing》编委（Associate Editor）。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）


    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政策和流程是怎样的呢？

    2023年推荐免试硕士研究生预报名

    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。另，本人对推免意向同学无排队想法，遇到合适的就发offer，不海不拖，先来先得。

    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

    PPPPS: 由于政策的不稳定性，暂时不考虑招收优研学生，但如果你想考研报考我，可早些联系我

    组内成员

    • 2023级：许艺腾、郭庆斌、李玉辰、刘江涛、顾浩然

    • 2022级：谷辰妍、李旭阁、王兆鑫

    • 2021级：唐峻烽、刘勇存、郑楠、刘哲宁、赵继樑

    • 2020级：宋振寿、李超

    • 2019级：刘书磊

    毕业生就业情况

    • 2023年：范亮（硕士，百度）、张拓（硕士，郑州大学读博）

    • 2022年：韩磊（硕士，腾讯）、谭峥（硕士，伯明翰大学读博）

    • 2021年：黄鹏飞（硕士，华为）


    微信公众号：Handing_Wang

    更多详情请参见：

    News


    Professional Services


    Editorship

    • AE, IEEE Transactions on Evolutionary Computation

    • AE, IEEE Computational Intelligence Magazine

    • AE, Complex & Intelligent Systems

    • AE, Memetic Computing

    Special Issues/Sessions/Workshop/Competition

    • Special issue on "Data and Knowledge-assisted Evolutionary Computation" in IEEE Transactions on Emerging Topics in Computational Intelligence

    • Competition on "Large-scale Continuous Optimization for Non-contact Measurement" in CEC2023

    • Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2023

    • Special session on "Large-scale multi-objective optimization in emerging applications" in CEC 2023

    • Competition on "Heat Pipe-Constrained Component Layout Optimization" in CEC 2022

    • Competition on "Offline Data-Driven Evolutionary Optimization" in CEC 2021

    • 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

    • Special Session Chair of The 2024 IEEE World Congress on Computational Intelligence (WCCI-2024)

    • 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)


    Publications


    Books:

    1. Yaochu Jin, Handing Wang, Chaoli Sun, Data-Driven Evolutionary Optimization, Springer. [Code]


    Journal Papers:

    1. Zhenshou Song, Handing Wang*, Bing Xue, Mengjie Zhang, Yaochu Jin, Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, accept. [Code]

    2. Huixin Ma, Kai Wu*, Handing Wang, Jing Liu, Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes, IEEE Transactions on Evolutionary Computation, accept.

    3. Shulei Liu, Handing Wang*, Wen Yao*, Wei Peng, Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, accept. [Code]

    4. Haoran Gu, Handing Wang*, Yaochu Jin, Surrogate-Assisted Differential Evolution with Adaptive Multi-Subspace Search for Large-Scale Expensive Optimization, IEEE Transactions on Evolutionary Computation, accept. [Code]

    5. Tuo Zhang, Handing Wang*, Bo Yuan, Yaochu Jin and Xin Yao, Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems, IEEE Transactions on Evolutionary Computation, accept. [Code]

    6. Zhenshou Song, Handing Wang*, Yaochu Jin, A Surrogate-Assisted Evolutionary Framework with Regions of Interests based Data Selection for Expensive Constrained Optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 10, pp. 6268 - 6280, 2023. [Code]

    7. Zhening Liu, Handing Wang*, Yaochu Jin, Performance Indicator based Adaptive Model Selection for Offline Data-Driven Multi-Objective Evolutionary Optimization, IEEE Transactions on Cybernetics, vol. 53, no. 10, pp. 6263 - 6276, 2023. [Code]

    8. Liang Fan, Handing Wang*, Surrogate-Assisted Evolutionary Neural Architecture Search with Network Embedding,Complex & Intelligent Systems, vol.9, pp.3313–3331, 2023. [Code]

    9. Yapei Wu, Xingguang Peng*, Handing Wang, Yaochu Jin and Demin Xu, Cooperative Coevolutionary CMA-ES with Landscape-Aware Grouping in Noisy Environments, IEEE Transactions on Evolutionary Computation, vol. 27, no. 3, pp. 686-700, 2023.

    10. Chao Li, Wen Yao*, Handing Wang*, Tingsong Jiang, Xiaoya Zhang, Bayesian Evolutionary Optimization for Crafting High-quality Adversarial Examples with Limited Query Budget, Applied Soft Computing, vol.142, pp.110370, 2023. [Code]

    11. Nan Zheng, Handing Wang*, A Two-Stage Evolutionary Algorithm for Noisy Bi-Objective Optimization, Swarm and Evolutionary Computation, vol.77, pp.101259, 2023. [Code]

    12. Junfeng Tang, Handing Wang*, Lin Xiong, Surrogate-assisted Multi-objective Optimization via Knee-oriented Pareto Front Estimation, Swarm and Evolutionary Computation, vol.77, pp.101252, 2023. [Code]

    13. Yongcun Liu,Handing Wang*, Surrogate-Assisted Hybrid Evolutionary Algorithm with Local Estimation of Distribution for Expensive Mixed-Variable Optimization Problems,  Applied Soft Computing, vol.133, pp.109957, 2023. [Code]

    14. Chao Li, Wen Yao*, Handing Wang*, Tingsong Jiang, Adaptive Momentum Variance for Attention-Guided Sparse Adversarial Attacks, Pattern Recognition, vol.133, pp.108979, 2023. [Code]

    15. Nan Zheng, Handing Wang*, Bo Yuan*, An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization, Complex & Intelligent Systems, vol.8, pp.4339–4356, 2022. [Code]

    16. Chao Li, Handing Wang*, Jun Zhang*, Wen Yao, Tingsong Jiang, An Approximated Gradient Sign Method Using Differential Evolution For Black-box Adversarial Attack, IEEE Transactions on Evolutionary Computation, vol.26, no.5, 976 - 990, 2022. [Code]

    17. Shulei Liu, Handing Wang*, Wei Peng, Wen Yao*, A Surrogate-Assisted Evolutionary Feature Selection Algorithm with Parallel Random Grouping for High-Dimensional Classification, IEEE Transactions on Evolutionary Computation, vol.26, no.5, 1087 - 1101, 2022. [Code]

    18. Zhening Liu, Handing Wang*, A Data Augmentation based Kriging-Assisted Reference Vector Guided Evolutionary Algorithm for Expensive Dynamic  Multi-Objective Optimization, Swarm and Evolutionary Computation, vol.75, pp.101173, 2022. [Code]

    19. Lei Han, Handing Wang*, Shuo Wang, A Surrogate-Assisted Evolutionary Algorithm for Space Component Thermal Layout Optimization, Space: Science & Technology, vol.2022, pp.9856362, 2022.

    20. Shulei Liu, Handing Wang*, Wen Yao*, A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming, Applied Soft Computing, vol.126, pp.109263, 2022. [Code]

    21. Zhenshou Song, Handing Wang*, Hongbin Xu, A Framework for Expensive Many-Objective Optimization with Pareto-Based Bi-indicator Infill Sampling Criterion, Memetic Computing, vol. 14, pp.179–191, 2022. [Code]

    22. Ruochen Liu*, Yifan Li, Handing Wang, Jin Liu, A noisy multi-objective optimization algorithm based on mean and Wiener filters, Knowledge-Based Systems, vol.228, pp.107215, 2021.

    23. Pengfei Huang, Handing Wang*, Comparative Empirical Study on Constraint Handling in Offline Data-Driven Evolutionary Optimization, Applied Soft Computing,  vol.110, pp.107603, 2021.

    24. Linjun He, Hisao Ishibuchi*, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan, A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, vol.25, no.6, pp.1028-1048, 2021.

    25. Zhenshou Song, Handing Wang*, Cheng He, Yaochu Jin, A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, vol.25, no.6, pp.1013-1027, 2021. [Code] can also be found on [PlatEMO]

    26. Zheng Tan, Handing Wang*, Shulei Liu, Multi-Stage Dimension Reduction for Expensive Sparse Multi-Objective Optimization Problems, Neurocomputing, vol.440, no.14, pp.159–174, 2021. [Code]

    27. Lei Han,  Handing Wang*, A Random Forest Assisted Evolutionary Algorithm Using Competitive Neighborhood Search for Expensive Constrained Combinatorial Optimization, Memetic Computing, vol.13, pp.19–30, 2021. [Code]

    28. Lu Chen, Handing Wang*, Wenping Ma, Two-Stage Multi-Tasking Transform Framework for Large-Scale Many-Objective Optimization Problems, Complex & Intelligent Systems, vol.7, no.3, pp.1499-1513, 2021.

    29. Pengfei Huang, Handing Wang*, Yaochu Jin,  Offline Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation, vol.60, pp.100800,2021. [Code]

    30. Handing Wang, Liang Feng, Yaochu Jin*, John Doherty, Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios, IEEE Computational Intelligence Magazine, vol.16, no.1, pp.34–48, 2021.

    31. Handing Wang, Yaochu Jin*, Cuie Yang, Licheng Jiao, Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm, Applied Soft Computing, vol.91, pp.106276, 2020. [Code]

    32. Cheng He, Ye Tian, Handing Wang*, 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.

    33. 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.

    34. 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]

    35. 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.

    36. 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.

    37. 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]

    38. 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]

    39. 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.

    40. 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]

    41. 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.

    42. 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.

    43. 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]

    44. 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]

    45. 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.

    46. 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.

    47. 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.

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

    49. 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.

    50. 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.

    51. 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. [Matlab Code][Python Code]

    52. 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.

    53. 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.

    54. 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]

    55. 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. Yiteng Xu, Handing Wang, Offline Data-Driven Mixed-Variable Optimization Algorithm Using a Step-Wise Strategy, The 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023), 2023.

    2. Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin, Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information, 31st ACM International Conference on Multimedia (ACM MM 2023), 2023. [Code]

    3. Liang Fan, Handing Wang, Sparse Gate for Differentiable Architecture Search, the International Joint Conference on Neural Networks (IJCNN 2023), 2023. [Code]

    4. Haoran Gu, Handing Wang, Yaochu Jin, Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms, IEEE Congress on Evolutionary Computation (CEC'2023), 2023.

    5. Yongcun Liu, Handing Wang, Regression versus Classification for Predicting Feasibility in Offline Data-Driven Evolutionary Constrained Optimization, The 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 2021

    6. Junfeng Tang, Handing Wang, A Bi-Population Based Multi-Objective Evolutionary Algorithm Using Hybrid Identification Method for Finding Knee Points,   The 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 2021

    7. Zhening Liu, Handing Wang, Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning, IEEE Congress on Evolutionary Computation (CEC'2021), 2021.

    8. Liang Fan, Xudong Feng and Handing Wang, An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment, IEEE Congress on Evolutionary Computation (CEC'2021), 2021.

    9. Mengyi Niu, Ruochen Liu and Handing Wang, A Max-Min ant system based on decomposition for the Multi-depot Cumulative Capacitated Vehicle Routing Problem, IEEE Congress on Evolutionary Computation (CEC'2021), 2021.

    10. Zhenshou Song, Handing Wang, Hongbin Xu, Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization, International Conference Series on Evolutionary Multi- Criterion Optimization (EMO), 2021.

    11. Jiaxin Cheng, Jun Zhong, Handing Wang, Xu Tang, Changzhe Jiao, Hong Zhou, Evolutionary Optimized Multiple Instance Concept Learning for Beat-to-Beat Heart Rate Estimation from Electrocardiograms, 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020.

    12. 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.

    13. Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu, Chao Chen, A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, 2020, pp. 1552-1559

    14. 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

    15. 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]

    16. 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.

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

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

    19. 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.

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

    21. Handing Wang,  Uncertainty 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


    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


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