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Ying Liufu

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2025
[j8]
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Ying Liufu, Long Jin, Yongji Guan:
Collaborative Physics-Informed Neural Dynamics Approach for Autonomous Vehicles With Nonconvex Safety-Critical Constraints. IEEE Trans. Intell. Transp. Syst. 26(10): 16887-16898 (2025)
[j7]
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Ying Liufu, Long Jin, Shuai Li:
Adaptive Noise-Learning Differential Neural Solution for Time-Dependent Equality-Constrained Quadratic Optimization. IEEE Trans. Neural Networks Learn. Syst. 36(9): 17253-17264 (2025)
2024
[j6]
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Ying Liufu, Long Jin, Mingsheng Shang, Xingxia Wang, Fei-Yue Wang:
ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles. IEEE Trans. Intell. Veh. 9(4): 4675-4686 (2024)
[c4]
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Ying Liufu, Long Jin, Fei-Yue Wang:
Neural-Dynamics-Based Active Steering Control for Autonomous Vehicles with Noises. IV 2024: 436-441
2023
[j5]
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Ying Liufu, Long Jin, Shuai Li:
Modified Gradient Projection Neural Network for Multiset Constrained Optimization. IEEE Trans. Ind. Informatics 19(9): 9413-9423 (2023)
[j4]
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Mei Liu, Ying Liufu, Huiyan Lu, Mingsheng Shang:
Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7330-7341 (2023)
[c3]
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Yue Li, Zhengwei Peng, Ying Liufu, Guanghao Li, Huanyan Zhu:
Analysis of Chinese traditional opera based on the Western music genre classification methods. HPCC/DSS/SmartCity/DependSys 2023: 1001-1007
[c2]
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Ying Liufu, Mei Liu, Long Jin, Feiyue Wang:
Gradient Projection Differential Neural Solution for Quadratic Optimization with Quadratic Constraints: An ACP Perspective. SMC 2023: 4325-4330
2022
[j3]
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Mianjie Zheng, Chengze Jiang, Ying Liufu, Xiuchun Xiao:
A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root. IEEE Access 10: 128336-128347 (2022)
[j2]
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Ying Liufu, Long Jin, Jinqiang Xu, Xiuchun Xiao, Dongyang Fu:
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection. IEEE Trans. Emerg. Top. Comput. 10(2): 973-984 (2022)
2021
[j1]
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Long Jin, Ying Liufu, Huiyan Lu, Zhijun Zhang:
Saturation-Allowed Neural Dynamics Applied to Perturbed Time-Dependent System of Linear Equations and Robots. IEEE Trans. Ind. Electron. 68(10): 9844-9854 (2021)
2020
[c1]
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  - conf/icdm/LiufuJLL20
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Ying Liufu, Long Jin, Mei Liu, Shuai Li:
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation. ICDM (Workshops) 2020: 159-165

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