郭鹏飞，现为仲恺农业工程学院数学与数据科学学院教授，副院长，广州市青年托举人才；主要研究方向为神经网络，神经动力学，图像质量评价及其机器人控制。主持省部级项目4项，以第一作者在神经网络和图像处理方面发表SCI论文30余篇。
科研/教研项目：
(1) 广东省科技厅,广东省基础与应用基础研究区域联合基金项目（青年基金）, 2020A515110958,基于全变分正则化的水下图像融合增强模型构建与应用, 2020-10至2025.6, 结题，主持。
(2) 广东省科技厅, 广东省自然科学基金面上项目, 2024A1515010136, 面向水下图像质量评价与增强中不确定性噪音抑制的鲁棒深度神经网络模型研究, 2024-01 至 今, 在研, 主持
(3) 广州市科协,广州市青年人才托举工程, C20190201011,广州市青年人才托举工程, 2019-01至2020-12,结题,主持。
(4) 广东省教育厅,广东省高校特色创新项目, 2017KTSCX095,基于贝叶斯网络的蛋鸭环境评价系统及其应用, 2018-01至2020-01,结题,主持。
(5) 广东省教育厅,广东省高校青年人才创新项目, 2016KQNCX075,量子信息中极大纠缠态及LOCC不可区分态的构造, 2017-01至2018-12,结题,主持。
(6) 广东省教育厅,广东省高等教育教学研究和改革项目，新一轮本科教育教学审核评估视域下地方农林院校工程数学课程教学改革研究与实践, 在研，主持。
科研论文：
一、零化神经动力学、时变矩阵方程、优化与机器人应用方向
[1] Pengfei Guo, Yunong Zhang, Zheng-an Yao, Shuai Li. Inverse-free zeroing neural dynamics model for handling temporally-dependent Yang-Baxter-like equation problems with applications to microgrid control[J]. Communications in Nonlinear Science and Numerical Simulation, 2026, 162(Part 2): 110350.中科院JCR 1区Top
[2] M. Yang, Z. Zhu, J. Li, P. Guo*, H. Zhang, S. Li. Novel left-and-right two-step discrete ZNN model for time-dependent nonlinear optimization with equality and inequality constraints applied to robot manipulator[J]. IEEE Transactions on Industrial Electronics.中科院JCR 1区Top
[3] Pengfei Guo, Yunong Zhang, Zheng-an Yao, Shuai Li. Zhang neural network model and algorithm with inherent properties for tackling temporally dependent generalized Sylvester’s matrix equation problems with applications[J]. Communications in Nonlinear Science and Numerical Simulation, 2026, 157: 109703.中科院JCR 1区Top
[4] P. Guo, Y. Zhang, S. Li. Low-complexity ZNN model handling time-varying generalized matrix inversion problems with multilayered sensor-related disturbances applied to robot manipulator[J]. IEEE Internet of Things Journal, 2026, 13(5): 9756–9772.中科院JCR 1区Top
[5] P. Guo, Y. Zhang, M. Yang, Z.-A. Yao, S. Li. Reciprocal-type zeroing neural dynamics model for tackling time-dependent Lyapunov matrix equation problems and applications[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(11): 8715–8728.中科院JCR 1区Top
[6] Pengfei Guo, Yunong Zhang, Shuai Li. Reciprocal-kind Zhang neurodynamics method for temporal-dependent Sylvester equation and robot manipulator motion planning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025. SCI，中科院JCR 1区Top，IF: 10.2。
[7] Pengfei Guo, Yunong Zhang. ELSS-DZN and ELSS-IFDHGZN algorithms solving future quadratic programming applied to robot manipulator[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(3): 1890–1902. SCI，中科院JCR 1区Top，IF: 8.7。
[8] Pengfei Guo, Yunong Zhang, Shuai Li. Finite-time reciprocal zeroing neural network model for handling temporal-variant linear equations and mobile localization problems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(1): 661–673. SCI，中科院JCR 1区Top，IF: 8.7。
[9] Pengfei Guo, Yunong Zhang, Zheng-an Yao. Discrete gradient-zeroing neural network algorithm for solving future Sylvester equation aided with left–right four-step rule as well as robot arm inverse kinematics[J]. Mathematics and Computers in Simulation, 2025, 233: 475–501. SCI，中科院JCR 1区Top，IF: 4.4。
[10] Pengfei Guo, Yunong Zhang, Shuai Li, Ning Tan. Optimization of robot manipulator configuration calibration by using Zhang neural network for repetitive motion[J]. Applied Mathematical Modelling, 2024, 134: 324–348. SCI，中科院JCR 2区Top，IF: 4.4。
[11] Pengfei Guo, Yunong Zhang, Zheng-an Yao. Discrete gradient-zeroing neural network algorithms for handling future quadratic program as well as robot arm via ten-instant formula[J]. Journal of the Franklin Institute, 2023, 360(16): 11995–12029. SCI，中科院JCR 2区，IF: 4.1。
[12] Pengfei Guo, Yunong Zhang. Tracking control for triple-integrator and quintuple-integrator systems with single input using Zhang neural network with time delay caused by backward finite-divided difference formulas for multiple-order derivatives[J]. Mathematics, 2022, 10(9): 1440. SCI，中科院JCR 2区，IF: 2.592。
[13] Pengfei Guo, Yunong Zhang. Loose error bounds and exponential convergence rates of GMDS-ZNN for time-dependent inverse computing[C]. In: 2022 IEEE 17th Conference on Industrial Electronics and Applications, 2022: 112–118.
[14] Guo, P., Zhang, Y. Multiple-order time-delay Zhang neural dynamics model for handling tracking control problem of Lu chaotic system with mixed inputs[C]. In: Jin, L., Wang, L. eds. Advances in Neural Networks – ISNN 2025. Lecture Notes in Computer Science, Vol. 15951. Springer, Singapore, 2026.
二、多媒体、图像质量评价与农业图像处理方向
[15] Pengfei Guo, Lang He, Shuangyin Liu, Delu Zeng, Hantao Liu. Underwater image quality assessment: subjective and objective methods[J]. IEEE Transactions on Multimedia, 2022, 24: 1980–1989. SCI，中科院JCR 1区Top，IF: 8.182。
[16] Pengfei Guo, Hantao Liu, Delu Zeng, Tong Xiang, Leida Li, Ke Gu. An underwater image quality assessment metric[J]. IEEE Transactions on Multimedia, 2022. SCI，中科院JCR 1区Top，IF: 8.182。
[17] Pengfei Guo, Delu Zeng, Yunbo Tian, Shuangyin Liu, Hantao Liu, Daoliang Li. Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling[J]. Computers and Electronics in Agriculture, 2020, 175: 105608. 中科院JCR 1区Top，IF: 7.7。
[18] Pengfei Guo, Xin Zhao, Dongqing Wu, Lei Zhang, Delu Zeng, Hantao Liu. Convex optimization method for quantifying image quality induced saliency variation[J]. IEEE Access, 2021, 9.
[19] Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu. CUDAS: Distortion-aware saliency benchmark[J]. IEEE Access, 2023.
[20] Pengfei Guo, Xin Zhao, Delu Zeng, Hantao Liu. A metric for quantifying image quality induced saliency variation[C]. In: 2021 IEEE International Conference on Image Processing, Anchorage, AK, USA, 2021. EI，CCF C类，Oral。
[21] Xin Zhao, Hanhe Lin, Pengfei Guo, Dietmar Saupe, Hantao Liu. Deep learning vs. traditional algorithms for saliency prediction of distorted images[C]. In: 2020 IEEE International Conference on Image Processing, United Arab Emirates, 2020. EI，CCF C类。
[22] Lévêque, Lucie, Yang, Ji, Yang, Xiaohan, Pengfei Guo, Dasalla, Kenneth, Li, Leida, Wu, Yingying, Liu, Hantao. CUID: a new study of perceived image quality and its subjective assessment[C]. In: 2020 IEEE International Conference on Image Processing, United Arab Emirates, 2020. EI，CCF C类。
三、应用数学、代数与微分方程方向
[23] Guo, Pengfei, Zheng, Zhu-Jun. The leading coefficients for an affine Weyl group of type (G_2): the lowest two-sided cell case[J]. Journal of Mathematics, 2021, Article ID 5905276, 13 pages.
[24] Tieshan He, Pengfei Guo. Sign-changing solutions for parametric Neumann problems with broken symmetry and arbitrary growth[J]. Georgian Mathematical Journal, 2023, 30(3): 365–376.
[25] Tieshan He, Pengfei Guo, Yehui Huang, Youfa Lei. Multiple nodal solutions for nonlinear nonhomogeneous elliptic problems with a superlinear reaction[J]. Nonlinear Analysis: Real World Applications, 2018, 42: 207–219. SCI，IF: 2.072。
[26] Tieshan He, Meng Zhang, Kaihao Liang, Pengfei Guo*. Standing waves for discrete nonlinear Schrödinger equations with nonperiodic bounded potentials[J]. Acta Mathematicae Applicatae Sinica, English Series, 2019, 35(2): 374–385. SCI，IF: 0.791。
四、医学统计与生物信息学方向
[27] Pengfei Guo*, Juan Jin, Xiangru Sun. Influence of IL10 gene polymorphisms on the severity of liver fibrosis and susceptibility to liver cirrhosis in HBV/HCV-infected patients: a meta-analysis[J]. Infection, Genetics and Evolution, 2015, 30: 89–95. SCI，IF: 2.773。
[28] Pengfei Guo*, Gang Li, Xiangru Sun, Dongqing Wu. Influence of IL10 gene polymorphisms on the sustained virologic response of patients with chronic hepatitis C to PEG-interferon/ribavirin therapy: a meta-analysis[J]. Infection, Genetics and Evolution, 2016, 45: 48–55. SCI，IF: 2.773。
[29] Pengfei Guo*, Xiangru Sun, Xiufang Feng, Chaolong Zhang. Transforming growth factor-β1 gene polymorphisms with liver cirrhosis risk: a meta-analysis[J]. Infection, Genetics and Evolution, 2018, 58: 164–170. SCI，IF: 2.773。
[30] Pengfei Guo, Shuangyin Liu, Xiangru Sun, Longqin Xu. Association of TGF-β1 polymorphisms and chronic hepatitis C infection: a meta-analysis[J]. BMC Infectious Diseases, 2019, 19(1): 758. SCI，IF: 2.688。
五、通信与机器学习应用方向
[31] Zeng Hu, Jing Yang, Pengfei Guo*, Qiang Li. Orthogonal frequency division multiplexing with cascade index modulation[J]. IET Communications, 2021: 1–14. SCI，中科院JCR 4区，IF: 1.542。
[32] Pengfei Guo, Han Liu, Shuangyin Liu, Longqin Xu. Numeric prediction of dissolved oxygen status through two-stage training for classification-driven regression[C]. In: 2019 International Conference on Machine Learning and Cybernetics, 2019: 1–6. EI。
