由于文末“阅读原文”埋的链接是我的谷歌主页，大家反映打不开，于是我默默的不定期把内容搬运到这里好了……
Research Interests
Computational Intelligence
Nature-Inspired Computation
Multi-Objective Optimization
Data-Driven Optimization
Surrogate-Assisted Evolutionary Algorithm
Data Mining
Real-World Applications
Education
2006–2010: Bachelor of Engineering, School of Electronic Engineering, Xidian University, Xi’an. China
2010–2015: Doctor of Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an. China
Work Experiences
2018–now: Professor, School of Artificial Intelligence, Xidian University, China.
2015–2018: Research Fellow, Department of Computer Science, University of Surrey, UK. Funded by an EPSRC grant (No. EP/M017869/1) on “Data-driven surrogate-assisted evolutionary fluid dynamic optimisation”.
Visiting Experiences
2012–2013: Visiting Student, CERCIA, University of Birmingham, UK. Funded by an EU FP7 IRSES grant (No.247619) on “Nature Inspired Computation and its Applications (NICaiA)”.
2016/8: Visiting Staff, Optimization Group, University of Jyvaskyla, Finland.Funded by FiDiPro Project DeCoMo: "Decision Support for Complex Multiobjective Optimization Problems''.
Society Services
Chair of Task Force on Intelligence Systems for Health at IEEE Computational Intelligence Society (2017-2021)
Editorship
AE, IEEE Transactions on Evolutionary Computation
AE, IEEE Computational Intelligence Magazine
AE, Evolutionary Computation
AE, Swarm and Evolutionary Computation
AE, Complex & Intelligent Systems
AE, Memetic Computing
Special Issues/Sessions/Workshop/Competition
Competition on "Super Large-scale Multiobjective Optimization for Status Assessment of Measuring Equipment" in CEC 2024
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
Special session on "Evolutionary Computation in Healthcare Industry" in CEC 2018
GECCO’2018 Workshop on "Surrogate-Assisted Evolutionary Optimisation (SAEOpt 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 Chair 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:
Yaochu Jin, Handing Wang, Chaoli Sun, Data-Driven Evolutionary Optimization, Springer.
Journal Papers:
Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin, Efficient Adversarial Training with Multi-Fidelity Optimization for Robust Neural Network, Neurocomputing, accept.
Linqiang Pan, Jianqing Lin, Handing Wang, Cheng He, Kay Chen Tan, Yaochu Jin, Computationally Expensive High-dimensional Multiobjective Optimization via Surrogate-assisted Reformulation and Decomposition, IEEE Transactions on Evolutionary Computation, accept.
Chao Li, Handing Wang, Wen Yao, Tingsong Jiang, Adversarial Attacks in Computer Vision: A Survey, Journal of Membrane Computing, accept.
Nan Zheng, Handing Wang, A Noise-Resistant Infill Sampling Criterion in Surrogate-Assisted Multi-Objective Evolutionary Algorithms, Swarm and Evolutionary Computation, vol.86, pp.101492, 2024.
Chenyan Gu, Handing Wang, A Local Correlation Estimation Surrogate-Assisted Bi-Objective Evolutionary Algorithm for Heterogeneous Objectives, Applied Soft Computing, vol.151, pp.111175, 2024.
Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection, IEEE Transactions on Evolutionary Computation, accept.
Shulei Liu, Wen Yao, Handing Wang, Wei Peng, Yang Yang, Rapidly Evolving Soft Robots via Action Inheritance, IEEE Transactions on Evolutionary Computation, accept.
Xudong Feng , Zhening Liu , Feng Wu, Handing Wang, Evolutionary Auto Design for Aircraft Engine Cycle, Complex & Intelligent Systems, vol.10, pp.3169–3180, 2024.
Jiliang Zhao, Handing Wang, Wen Yao, Wei Peng, Zhiqiang Gong, An Online Surrogate-Assisted Neighborhood Search Algorithm Based on Deep Neural Network for Thermal Layout Optimization, Complex & Intelligent Systems, vol.10, pp.2459–2475, 2024.
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.
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.
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.
Huixin Ma, Kai Wu, Handing Wang, Jing Liu, Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes, IEEE Transactions on Evolutionary Computation, vol. 28, no. 1, pp. 90 - 104, 2024.
Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Surrogate-Assisted Environmental Selection for Fast Hypervolume-based Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, vol. 28, no. 1, pp. 132 - 146, 2024.
Nan Zheng, Handing Wang, A Two-Stage Evolutionary Algorithm for Noisy Bi-Objective Optimization, Swarm and Evolutionary Computation, vol.77, pp.101259, 2023.
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.
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.
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, vol. 27, no. 6, pp. 1765 - 1779, 2023.
Liang Fan, Handing Wang, Surrogate-Assisted Evolutionary Neural Architecture Search with Network Embedding,Complex & Intelligent Systems, vol.9, pp.3313–3331, 2023.
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.
Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Adaptive Momentum Variance for Attention-Guided Sparse Adversarial Attacks, Pattern Recognition, vol.133, pp.108979, 2023.
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.
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.
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, vol. 27, no. 5, pp. 1162- 1176, 2023.
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.
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.
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.
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.
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.
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.
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.
Pengfei Huang, Handing Wang, Comparative Empirical Study on Constraint Handling in Offline Data-Driven Evolutionary Optimization, Applied Soft Computing, vol.110, pp.107603, 2021.
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, accepted.
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.1028-1048, 2021.
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.
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.
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.
Pengfei Huang, Handing Wang, Yaochu Jin, Offline Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation, vol.60, pp.100800,2021.
Handing Wang, Liang Feng, Yaochu Jin, and 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.
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, vol.91, pp.106276, 2020.
He, Cheng, 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.
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.
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.
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, vol.23, no.3, pp.442-458, 2019.
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.
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.
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.
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.
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.
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.
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.
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.
Handing Wang, Yaochu Jin, Xin Yao, Diversity Assessment in Many-Objective Optimization, IEEE Transactions on Cybernetics, vol.47, no.6, pp.1510-1522, 2017.
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.
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.
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.
Handing Wang, Xin Yao, Objective Reduction Based on Nonlinear Correlation Information Entropy, Soft Computing, vol.20, no.6, pp.2393-2407, 2016.
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.
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.
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.
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.
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.
Handing Wang, Xin Yao, Corner Sort for Pareto-Based Many-Objective Optimization, IEEE Transactions on Cybernetics, vol.44, no.1, pp.92-102, 2014.
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:
Yongchun Liu, Handing Wang, Jingjing Ma, Infill Criterion Ensemble in Multi-Objective Evolutionary Algorithm for Mixed-Variable Problems, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.
Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Donghua Wang, Jialiang Sun, QRPatch: A Deceptive Texture-based Black-box Adversarial Attacks with Genetic Algorithm, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.
Haoran Gu, Handing Wang, Jingjing Ma, Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.
Shulei Liu, Handing Wang, Wen Yao, Peng Wei, Jingjing Ma, Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.
Haoyuan Lv, Ruochen Liu, Handing Wang, Multipopulation evolutionary algorithm via seed transfer for multitasking traveling salesman problem, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.
Xudong Feng, Jin Liu, Jialu Yin, Handing Wang, Ruochen Liu, Time Series Anomaly Detection Based on Data Stream Clustering, 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), Tianjin, China, 2023.
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.
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.
Liang Fan, Handing Wang, Sparse Gate for Differentiable Architecture Search, the International Joint Conference on Neural Networks (IJCNN 2023), 2023.
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.
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
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
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.
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.
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.
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.
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.
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.
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
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
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
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.
John Doherty, Handing Wang, Yaochu Jin,Use of Global Drag Rise Boundaries to Investigate Ill-Posed Transonic Airfoil Optimization, 2018 Applied Aerodynamics Conference, 2018.
Handing Wang, John Doherty, Yaochu Jin, Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization, IEEE Congress on Evolutionary Computation (CEC'2018), 2018.
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.
Handing Wang, Yaochu Jin, Efficient Nonlinear Correlation Detection for Decomposed Search in Evolutionary Multi-Objective Optimization, IEEE Congress on Evolutionary Computation (CEC'2017), 2017.
Handing Wang, Uncertainty in Surrogate Models, presented at the Proceedings of the 2016 Genetic and Evolutionary Computation Conference (Gecco'16 Companion), 2016.
Book Chapters:
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
