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  • In press
  1. Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong. AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors[C]. The 39th Annual AAAI Conference on Artificial Intelligence, 2025.
  2. Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing. Many-problem Surrogates for Transfer Evolutionary Multiobjective Optimization with Sparse Transfer Stacking[J]. IEEE Transactions on Evolutionary Computation, 2025.
  3. Hao Li, Pu Xiong, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing. Fast Heterogeneous Multi-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization [J]. IEEE Transactions on Evolutionary Computation, 2024.
  4. Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing. Privacy-Enhanced Multitasking Particle Swarm Optimization based on Homomorphic Encryption[J]. IEEE Transactions on Evolutionary Computation, 2024.
  5. Yue Zhao, Hao Li.Incorporating Difference Information into Curriculum Learning for Multitemporal Image Classification [J]. Expert Systems With Applications, 2025
  • 2024
  1. Hao Li, Pengyang Niu, Maoguo Gong, Lining Xing, Yue Wu, A. K. Qin. Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5642315.
  2. Hao Li, Zeyu Yang, Maoguo Gong, Shiguo Chen, A. K. Qin, Zhenxing Niu, Yue Wu, Yu Zhou. ShiftAttack: Towards Attacking the Localization Ability of Object Detector [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(12): 12796 - 12810.
  3. Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, A. K. Qin. Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search based on Transfer Stacking and Knowledge Distillation[J]. IEEE Transactions on Evolutionary Computation, 2024, 28(3): 608-622.
  4. Yiting Liu, Hao Li, Maoguo Gong, A. K. Qin. Nonzero Degree-based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery[J]. IEEE Transactions on Evolutionary Computation, 2024, 28(2): 374-387.
  5. Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A.K. Qin, Lining Xing, Fei Xie. Sparse Hyperspectral Unmixing with Preference-based Evolutionary Multiobjective Multitasking Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(2): 1922-1937.
  6. Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A.K. Qin. Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(3): 2197-2212.
  • 2024以前
  1. 李豪, 汪磊, 张元侨, 武越,公茂果. 演化多任务优化研究综述[J]. 软件学报, 2023, 34(2): 509-538.
  2. 李豪,赵悦,公茂果,武越,刘洁怡. 一种自适应混合权重的自步学习方法[J]. 软件学报, 2023, 34(5): 2337-2349.
  3. Wencheng Han, Hao Li, Maoguo Gong. Multi-regularization sparse reconstruction based on multifactorial multiobjective optimization[J]. Applied Soft Computing, 2023, 136: 110122.
  4. Tianqi Gao, Hao Li, Maoguo Gong, Mingyang Zhang, Wenyuan Qiao. Superpixel-based multiobjective change detection based on self-adaptive neighborhood-based binary differential evolution[J]. Expert Systems with Applications, 2023, 212: 118811.
  5. Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang. Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction[J]. Swarm and Evolutionary Computation, 2022, 75: 101153.
  6. Wencheng Han, Hao Li, Maoguo Gong. Automatic binary and ternary change detection in SAR images based on evolutionary multiobjective optimization[J]. Applied Soft Computing, 2022, 125: 109200.
  7. Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Pareto Self-paced Learning based on Differential Evolution [J]. IEEE Transactions on Cybernetics, 2021, 51(8): 4187-4200.
  8. Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu. Cost-Sensitive Self-Paced Learning with Adaptive Regularization for Classification of Image Time Series [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 11713-11727.
  9. Hao Li, Maoguo Gong, Mingyang Zhang, Yue Wu.  Spatially Self-paced Convolutional Networks for Change Detection in Heterogeneous Images [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 4966-4979.
  10. Jianzhao Li, Hao Li (corresponding author), Yiting Liu, Maoguo Gong. Multi-Fidelity Evolutionary Multitasking Optimization for Hyperspectral Endmember Extraction [J]. Applied Soft Computing, 2021, 111, 107713.
  11. Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang. Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study [J]. IEEE Transactions on Evolutionary Computation, 2019, 23(5): 733-747.
  12. Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu. Decomposition- Based Evolutionary Multi-objective Optimization to Self-paced Learning [J]. IEEE Transactions on Evolutionary Computation, 2019, 23(2): 288-302.
  13. Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Self-Paced Stacked Denoising Autoencoders based on Differential Evolution for Change Detection [J]. Applied Soft Computing, 2018, 71: 698-714.
  14. Hao Li, Maoguo Gong, Qiguang Miao, Bin Wang. Interactive Active Contour with Kernel Descriptor [J]. Information Sciences, 2018, 450: 53-72.
  15. Hao Li, Maoguo Gong. Self-paced Convolutional Neural Networks [C]. The 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017: 2110-2116.
  16. Maoguo Gong, Hao Li, Xiangming Jiang. A Multi-objective Optimization Framework for Ill-posed Inverse Problems [J]. CAAI Transactions on Intelligence Technology, 2016, 1(3): 225-240.
  17. Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang. Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets [J]. IEEE Transactions on Fuzzy Systems, 2016, 24(5): 1176-1192.
  18. Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao. Multi-objective Self-paced Learning [C]. The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016: 1802-1808.
  19. Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su. A Multiobjective Fuzzy Clustering Method for Change Detection in Synthetic Aperture Radar Images [J]. Applied Soft Computing, 2016, 46: 767-777.
  20. Hao Li, Jingjing Ma, Maoguo Gong. Change Detection in Synthetic Aperture Radar Images based on Evolutionary Multiobjective Optimization with Ensemble Learning [J]. Memetic Computing, 2015, 7(4): 275-289.
  21. Hao Li, Maoguo Gong, Jia Liu. A Local Statistical Fuzzy Active Contour Model for Change Detection [J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3): 582-586.

 

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