Books:

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

Journal Papers:

1. Guangxin Guo, Zhengguang Tang, Zhenhai Cui, Cong Li, Handing Wang, and Hailong You*, Accurate Analytic Equation Generation for Compact Modeling with Physics-Assisted Kolmogorov-Arnold Networks, ACM Transactions on Design Automation of Electronic Systems, accepted.

2. Jiliang Zhao, Wei Peng*, Handing Wang*, Weien Zhou, Yang Yang, Wen Yao, Cross-Task Collaborative Optimization based on Knowledge Transfer for Soft Robot Design, IEEE Transactions on Evolutionary Computation, accept.

3. Shulei Liu, Junchi Yan, Handing Wang*, Yaochu Jin, Morphology Evolution for Embodied Robot Design with a Classifier-Guided Diffusion Model, IEEE Transactions on Evolutionary Computation, accept.

4. Zhening Liu, Handing Wang*, Maoguo Gong, Yaochu Jin, Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer, IEEE Transactions on Emerging Topics in Computational Intelligence, accept. [Code]

5. Haoran Gu, Handing Wang*, Yi Mei, Mengjie Zhang, Yaochu Jin, Surrogate-Assisted Neighborhood Search with Only A Few Weight Vectors for Expensive Large-Scale Multiobjective Binary Optimization, IEEE Transactions on Evolutionary Computation, accept. [Code]

6. Haoran Gu, Handing Wang*, Cheng He, Bo Yuan, Yaochu Jin, Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions, Evolutionary Computation, vol.33, no.3,  pp. 309–334, 2025.  [Code]

7. Tonghao Wang, Xingguang Peng, Xiaokang Lei, Handing Wang*, Yaochu Jin, Knowledge-Assisted Evolutionary Task Scheduling for Hierarchical Multiagent Systems with Transferable Surrogates, Swarm and Evolutionary Computation, vol.98, pp.102107, 2025.

8. Jiliang Zhao, Wei Peng, Handing Wang*, Wen Yao*, A Multi-Objective Optimization Framework based on Information Sharing for Serially Connected Robot Design, Complex & Intelligent Systems,  vol.11, no.410, 2025.

9. 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, vol. 29, no. 4, pp. 921 - 935, 2025. 

10. Qingbin Guo, Handing Wang*, Ye Tian, Automated Algorithm Selection for Black-Box Optimization Using Light Gradient Boosting Machine, Swarm and Evolutionary Computation, vol.98, pp.102071, 2025.

11. Zhening Liu, Handing Wang*, Balancing Objective and Switch Cost for Robust Optimization Over Time, Swarm and Evolutionary Computation, vol.97, pp.102022, 2025. [Code]

12. Yuchen Li, Handing Wang*, Dynamic Instance Sampling for Multi-Objective Automatic Algorithm Configuration, Swarm and Evolutionary Computation, vol.97, pp.102008, 2025. [Code]

13. Xing Wang, Zhe Xu*, Yuanshi Zheng, Handing Wang, Parameter-efficient weakly supervised referring video object segmentation via chain-of-thought reasoning, Complex & Intelligent Systems,  vol.11, no.273, 2025.

14. Zhening Liu, Handing Wang*, Jinliang Ding, Cuie Yang, YaochuJin, Data Stream Driven Evolutionary Algorithm for Cost Sensitive Robust Optimization Over Time, Swarm and Evolutionary Computation, vol.94, pp.101880, 2025. [Code]

15. Chao Li, Tingsong Jiang, Handing Wang*, Wen Yao*, Donghua Wang, Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, no. 1, pp. 161 - 171, 2025. [Code]

16. Junfeng Tang, Handing Wang*, Yaochu Jin, Knee-Oriented Expensive Many-Objective Optimization via Aggregation-Dominance: A Multi-Task Perspective, Swarm and Evolutionary Computation, vol.92, pp.101813, 2025. [Code]

17. Zhenshou Song, Handing Wang*, Bing Xue, Mengjie Zhang, Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection, IEEE Transactions on Evolutionary Computation, vol. 28, no. 6, pp. 1824 - 1837, 2024.  [Code]

18. Shulei Liu, Wen Yao*, Handing Wang*, Wei Peng, Yang Yang, Rapidly Evolving Soft Robots via Action Inheritance, IEEE Transactions on Evolutionary Computation, vol. 28, no. 6, pp. 1674 - 1688, 2024. [Code]

19. Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao*, Weien Zhou, A Morphological Transfer-based Multi-Fidelity Evolutionary Algorithm for Soft Robot Design, IEEE Computational Intelligence Magazine, vol. 19, no. 4, pp. 16 - 30, 2024. [Code]

20. 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,  vol. 28, no. 5, pp. 1286 - 1300, 2024. [Code]

21. Nan Zheng, Handing Wang*, Jialin Liu, Formulating Approximation Error as Noise in Surrogate-Assisted Multi-Objective Evolutionary Algorithm, Swarm and Evolutionary Computation,  vol.90, pp. 101666, 2024. [Code]

22. Shulei Liu, Handing Wang*,  Wei Peng, Wen Yao*, Surrogate-Assisted Evolutionary Algorithms for Expensive Combinatorial Optimization: A Survey,   Complex & Intelligent Systems,  vol.10, pp.5933–5949, 2024.

23. Chao Li, Handing Wang*, Wen Yao*, Tingsong Jiang, Adversarial Attacks in Computer Vision: A Survey, Journal of Membrane Computing, vol.6, pp. 130–147, 2024.

24. Zhaoxin Wang, Handing Wang*, Cong Tian, Yaochu Jin, Efficient Adversarial Training with Multi-Fidelity Optimization for Robust Neural Network, Neurocomputing, vol.585, pp.1276272, 2024

25. Xudong Feng, Zhening Liu, Feng Wu, Handing Wang*, Evolutionary Auto Design for Aircraft Engine Cycle, Complex & Intelligent Systems,  vol.10, pp.3169–3180, 2024.

26. 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.

27. 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. [Code]

28. 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.

29. 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. [Code]

30. 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.[Code]

31. 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. [Code]

32. 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. [Code]

33. 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]

34. 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]

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

36. 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.

37. 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]

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

39. 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]

40. 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]

41. 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]

42. 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]

43. 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]

44. 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]

45. 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]

46. 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.

47. 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]

48. 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]

49. 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.

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

51. 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. 

52. 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][Python Code]

53. 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]

54. 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]

55. 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.

56. 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]

57. 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.

58. 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. [Code]

59. 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.

60. 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.

61. 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]

62. 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.

63. 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.

64. 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]

65. 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]

66. 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.

67. 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]

68. 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.

69. 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.

70. 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]

71. 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]

72. 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.

73. 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.

74. 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.

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

76. 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.

77. 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.

78. 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. [Matlabe Code][Python Code]

79. 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.

80. 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.

81. 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]

82. 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. Haoran Gu, Handing Wang*, Yi Mei, Mengjie Zhang, Yaochu Jin, ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data, The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

2. Jialin Wu, Jian Yang, Handing Wang, Jiajun Wen, Zhiyong Yu, From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging, The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

3. Beining Zhang, Kai Wu*, Xiaoyu Zhang, Handing Wang, Jing Liu, Bei Wang, and Kai Wang, TSGGuide: Recommendation Guide for Multivariate Time Series Generation, Companion Proceedings of the ACM on Web Conference (WWW '25), 2025

4. Muqi Han,  Xiaobin Li,  Kai Wu*,  Xiaoyu Zhang,  Handing Wang, Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

5. Jiangtao Liu, Zhaoxin Wang and Handing Wang*, Towards Adversarial Transferability under Unlabeled Heterogeneous Data, 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS), Taiyuan, China, 2025.

6. Qinan Chen, Biao Liu, Chen Jiang, Handing Wang, Tsung-Yi Ho, Bo Yuan*, Reliable Droplet Routing in Digital Microfluidic Biochips by Reinforcement Learning, International Symposium of EDA (ISEDA 2025), 2025

7. Haoran Gu, Cheng He, Handing Wang*, A Performance Study of Surrogate-Assisted Large-scale Multiobjective Evolutionary Algorithms on GLSMOP Test Suite, IEEE Congress on Evolutionary Computation (CEC'2025), 2025.

8. Jin Wang, Qingbin Guo, Haoran Gu, Handing Wang*, A Parallel Surrogate-Assisted Multi-Penalty Function Search for Simulation-Driven Antenna Design, IEEE Congress on Evolutionary Computation (CEC'2025), 2025.

9. Qingbin Guo, Handing Wang*, Genetic Programming Based Feature Construction for Automated Algorithm Selection, Proceedings of the Genetic and Evolutionary Computation Conference Companion  (GECCO'25 Companion),2025.

10. Chenyan Gu, Handing Wang*, Exploring Heterogeneity in Constrained Optimization: An Adaptive Two-Stage Surrogate-Assisted Evolutionary Algorithm, Proceedings of the Genetic and Evolutionary Computation Conference Companion  (GECCO'25 Companion),2025.

11. Xiaobin Li, Kai Wu*, Xiaoyu Zhang, Handing Wang, B2Opt: Learning to Optimize Black-box Optimization with Little Budget, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

12. Xiaobin Li, Kai Wu*, Yujian Li, Xiaoyu Zhang, Handing Wang, Jing Liu, Pretrained Optimization Model for Zero-Shot Black Box Optimization, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 

13. Kai Wu*, Yujian Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu, Rapid Plug-in Defenders, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

14. Yudong Yang, Kai Wu*, Xiangyi Teng, Handing Wang, He Yu, Jing Liu, Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective, Proceedings of the Genetic and Evolutionary Computation Conference Companion  (GECCO'24 Companion),2024.

15. Zhaoxin Wang, Handing Wang*, Cong Tian, Yaochu Jin, Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective, European Conference on Computer Vision (ECCV), 2024. [Code]

16. Qinqguan Zhang, Yuchen Li, Yuhang Lin, Handing Wang and Jialin Liu*, Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation, 2024 IEEE Conference on Games (CoG), 2024. [Platform]

17. Yongcun 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. [Code]

18. 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.

19. 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. [Code]

20. 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.

21. Haoyuan Lv, Ruochen Liu*, Handing Wang, Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem, IEEE Congress on Evolutionary Computation (CEC'2024), 2024.

22. 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.

23. 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. [Code]

24. 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]

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

26. 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.

27. 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

28. 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

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

34. 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.

35. 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

36. 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

37. 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]

38. 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.

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

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

41. 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.

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

43. 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