郝星星

郝星星

西北大学｜信息科学与技术学院｜硕士生导师

期刊论文

 
Haofan Wang,Li Chen※, Xingxing Hao※, Tingfeng Yu, Yongkang Qian,Ruoxi Yang, and Wei Liu. “Meta-knowledge-assisted Sampling with Variable Sorting for Large-scale Multi-objective Optimization”, Applied Soft Computing, 2025,181:113386.
Wei Zhou※, Weiwei Jin, Dekui Wang, Xingxing Hao, Yongxiang Yu, Caiwen Ma. “Exploring Multi-Scale and Cross-Type Features in 3D Point Cloud Learning with CCMNet”, Expert Systems With Applications, 2025, 274:126960.
Shulin Zhao, Xingxing Hao※, Li Chen, Tingfeng Yu, Xingyu Li, and Wei Liu. “Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization”,Swarm and Evolutionary Computation, 2025, 92: 101784.
Haofang Wang, Li Chen※, Xingxing Hao※, Rong Qu, Wei Zhou, Dekui Wang, and Wei Liu. “Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization”, Swarm and Evolutionary Computation, 2024, 91: 101763.
Liang Ma, Xingxing Hao※, Wei Zhou, Qianbao He, Ruibang Zhang, and Li Chen. “A hybrid neural combinatorial optimization framework assisted by automated algorithm design”, Complex & Intelligent Systems, 2024, 10(6), pp.8233–8247
Enhui Chai, Li Chen※, Xingxing Hao, Wei Zhou. “Mitigate the scale imbalance via multi-scale information interaction in small object detection”, Neural Computing and Applications, 2024, 36(4), pp.1699–1712.
Dekui Wang, Jun Feng※, Ke Liu, Wei Zhou, Xingxing Hao, Xiaodan Zhang. “A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, 42(11), pp.3868 - 3880.
Wei Zhou※, Xiaodan Zhang, Xingxing Hao, Dekui Wang, and Ying He. “Multi point-voxel convolution (MPVConv) for deep learning on point clouds”, Computers & Graphics, 2023, 112, pp.72-80. CODE click HERE
Wei Liu, Li Chen※, Xingxing Hao※, Wei Zhou, Xin Cao, and Fei Xie. “Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization”, Swarm and Evolutionary Computation, 2022, 76: 101152.
Dekui Wang, Jun Feng, Wei Zhou, Xingxing Hao, Xiaodan Zhang. “FCRoute: A fast FPGA connection router using soft routing-space pruning algorithm”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, 42(3), pp.887-899.
Kai Wu, Xingxing Hao※, Jing Liu, Penghui Liu, and Fang Shen. “Online reconstruction of complex networks from streaming data”, IEEE Transactions on Cybernetics, 2022, 52(6), pp.5136-5147.
Wei Zhou※, Xingxing Hao※, Jin Cui, Yongxiang Yu, Xin Cao※, and Arjan Kuijper. “A self-adaptive learning method for motion blur kernel estimation of the single image”, Optik, 2021, 248: 168023.
Baihao Qiao, Jing Liu, and Xingxing Hao, “A multi-objective differential evolution algorithm and a constraint handling mechanism based on variables proportion for dynamic economic emission dispatch problems”, Applied Soft Computing, 2021,108:107419.
Kai Wu, Jing Liu, Xingxing Hao, Penghui Liu, and Fang Shen. “An evolutionary multiobjective framework for complex network reconstruction using community structure”, IEEE Transactions on Evolutionary Computation, 2021, 25(2), pp.247-261.
Xingxing Hao, Rong Qu※, and Jing Liu. “A unified framework of graph-based evolutionary multitasking hyper-heuristic”, IEEE Transactions on Evolutionary Computation, 2020, 25(1), pp.35-47.
Xingxing Hao, Jing Liu※, Xiaoxiao Yuan, Xianglong Tang,and Zhangtao Li. “[A moving block sequence-based evolutionary algorithm for resource-constrained project scheduling problems]”(https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2019.101631), International Journal of Bio-Inspired Computation, 2019, 14(2), pp.85-102.
Xiaoxiao Yuan, Jing Liu, Xingxing Hao. “A moving block sequence-based evolutionary algorithm for resource investment project scheduling problems”, Big Data & Information Analytics, 2017, 2(1), pp.39-58.
Xingxing Hao, Jing Liu. “A multiagent evolutionary algorithm with direct and indirect combined representation for constraint satisfaction problems”, Soft Computing, 2017, 21, pp.781-793.
Xianglong Tang, Jing Liu, Xingxing Hao. “Mitigate cascading failures on networks using a memetic algorithm”, Scientific Reports, 2016, 6(1):38713.
Xingxing Hao, Hui Zhao, and Jing Liu. “Multifocus color image sequence fusion based on mean shift segmentation”, Applied Optics, 2015, 54(30):8982-8989.

会议论文

 
Xingyu Li, Li Chen, Xingxing Hao, Enhui Chai, Shulin Zhao. “oftMix: A Novel Data Augmentation for Patched Medical Image Classification”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.477-482.
Liang Ma, Xingxing Hao※, Ruoxi Yang, Zhilan Hai. “Automatic Algorithm Design Assisted by LLMs for Solving Vehicle Routing Problems”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.247-252.
Shulin Zhao, Xingxing Hao※, Li Chen, Yongkang Qian. “Two-stage multi-population evolutionary algorithm for constrained multi-objective optimization”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.278-283.
Xin Cao, Wenlong Tang, Yifan Wang, Yi Chen, Linzhi Su, Tianyu Liang, Xingxing Hao※. “Online Dictionary Learning Method for Cone-beam X-ray Luminescence Computed Tomography Reconstruction: A Preliminary Simulation Study”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.708-712.
Linzhi Su, Mengna Yang, Jie Liu, Xingxing Hao※, Chenyang Zhang, Xin Cao. “Point-MSD: Jointly Mamba Self-Supervised Self-Distilling Point Cloud Representation Learning”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.310-316.
Liang Ma, Xingxing Hao※, Ruibang Zhang, Li Chen. “ Automated Algorithm Design with Partial Reconstruction Heuristics for Solving Vehicle Routing Problems”, 2024 IEEE 17th International Conference on Signal Processing (ICSP), 2024, pp.284-289.
Yongkang Qian, Xingxing Hao※, Li Chen, Shulin Zhao. “Evolutionary Multitask Optimization with Multi-Element Transfer”, 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2024, pp.221-228.
Shulin Zhao, Xingxing Hao※, Li Chen, Yahui Feng. “Multi-Population Constrained Multi-Objective Evolutionary Algorithm Based on Knowledge Transfer”, 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2024, pp.214-220.
Xiwen Yang, Xingxing Hao※, Li Chen, Dekui Wang, Wei Zhou, Wei Liu. “A novel two-stage evolutionary algorithm for constrained multiobjective optimization”, 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), 2023, pp.1-8.
Wei Liu, Li Chen, Xingxing Hao※, Fei Xie, Haiyang Nan, Honghao Zhai, Jiyao Yang. “A two-stage multi-objective evolutionary algorithm for large-scale multi-objective optimization”, 2022 IEEE Congress on Evolutionary Computation (CEC), 2023, pp.1-8.
Yao Hu, Wei Zhou, Guohua Geng, Kang Li, Xingxing Hao, Xin Cao. “Unsupervised segmentation for terracotta warrior with seed-region-growing CNN (SRG-Net)”, Proceedings of the 5th International Conference on Computer Science and Application Engineering, 2021, pp.1-6.
Xingxing Hao, Jing Liu, Zhenkun Wang. “An improved global replacement strategy for MOEA/D on many-objective kanpsack problems”, 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017, pp.624-629.
Xingxing Hao, Jing Liu. “A new MBS representation for resource-constrained project scheduling problems”, 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, pp.17-224.