梅树立

人工智能及图像处理，基于稀疏表示的深度学习，小波分析

本科生课程：近十年课程数据
研究生课程：近十年课程数据

纵向项目 横向项目

论文题目	刊物名称	收录类别	发表年月	第一作者或全部作者	第一作者单位	排名

论文目录

1. Preprint

1. Mei Shuli. Descriptive Geometry and Sparse Representation: A Unified Theoretical Framework for Engineering Expression. doi: 10.20944/preprints202506.1797.v1

SCI收录

SCI-2026年度

1. Gao Hanying, Carlo Cattani, Mei Shli*. Wavelets as Multiscale Physical Priors for Deep Learning: A Taxonomy of Fusion Paths from Structural Embedding to Neural Redefinition. Information Fusion,2026,104322,ISSN 1566-2535,
   https://doi.org/10.1016/j.inffus.2026.104322.(2026-03-25)

2. Kexin Meng, Shanjie Yang, Ningning Feng, Shijiao Gao, Meng Liu, Shuli Mei*. Chaos identification for dairy cow weight time series with deep wavelet transform. Engineering Applications of Artificial Intelligence, 2026, 165, Part A,2026,113392,ISSN 0952-1976,https://doi.org/10.1016/j.engappai.2025.113392. 

3. Yafei Liu, Shijiao Gao, Tonghao Wang, Jiaqi Liand Shuli Mei*. The Unsupervised Sequential Bio-tomographic Image Registration Method Based on Deep Wavelet Transform and Manifold Symmetry Constraints. Neurocomputing.
   https://doi.org/10.1016/j.neucom.2026.132803

4. Jiaqi Li,Yafei Liu, Jiangtao Wua , Jie Yang and Shuli Mei∗. Multiscale feature attention and edge refinement for improved camouflaged locust segmentation. Applied Intelligence (10.1007/s10489-026-07152-x)

5. Zhi Qiao, Yicheng Du, Hui Li, Shuli Mei*. Enhancing surface normal estimation with cross-modal attention RGB-Dfusion and adversarial Schrödinger bridge. Pattern Recognition Letters. 2026,https://doi.org/10.1016/j.patrec.2026.02.018.

6. Jingyi Jia, Hong Sun, Ziyu Wang, Yutong Wei, Shuli Mei, Hui Li, Yuefeng Du, Xinran Li, Yicheng Du, Zhi Qiao,PES-3D: A Stereo Vision-Based 3D Spherical Crop Detector with Prior-Enhanced Semantic Shape Modelling,Smart Agricultural Technology,2026,101925,ISSN 2772-3755,https://doi.org/10.1016/j.atech.2026.101925.（ESCI）

SCI-2025年度

7. Yafei Liu, Tonghao Wang, Piercarlo Cattani, and Shuli Mei*. Analysis of the Multifractal Characteristics of the Chinese Stock Market Based on Deep Wavelet Transform. Fluctuation and Noise Letters, 2025. doi: 10.1142/S0219477525500415

8. Mei Shuli*. A UnifiedTheoretical Analysis of GeometricRepresentation Forms in DescriptiveGeometry and Sparse RepresentationTheory. Mathematics 2025, 13, 2737.https://doi.org/10.3390/math13172737

9. Wu J, Li J, Yang J*, Mei S*, Wavelet-integrated deep neural networks: A systematic review of applications and synergistic architectures, Neurocomputing (2025), doi: https://doi.org/10.1016/j.neucom.2025.131648.

SCI-2024年度

10. Tonghao Wang, Piercarlo Cattani, Shijiao Gao,Yukang Huo, Linqiang Yang, Shuli Mei*. Deep interpolating wavelet network: for spatially adaptive fast discretization and feature capture guidance. Nonlinear Dynamics, 2024. https://doi.org/10.1007/s11071-024-10612-z 2024年11月发表）

11. Kexin Meng, Kexin Xu, Piercarlo Cattani, Shuli Mei*.Camouflaged cotton bollworm instance segmentation based on PVT and Mask R-CNN. Computers and Electronics in Agriculture, 2024,226. 109450. https://doi.org/10.1016/j.compag.2024.109450（2024年11月发表）

12. Tonghao Wang, Shijiao Gao, Yukang Huo, Piercarlo Cattani, Shuli Mei*. Depthwise Separable Axial Asymmetric Wavelet Convolutional Neural Networks[J]. Applied Soft Computing, 2024,163: 111886. https://doi.org/10.1016/j.asoc.2024.111886. (ESI前10%）

13. Kexin Meng, Min Zhao, Piercarlo Cattani, Shuli Mei*. Single image super-resolution based on Bendlets analysis and structural dictionary learning. Results in Physics, 2024, 57:107367

14. Kexin Meng, Shanjie Yang, Piercarlo Cattani, Shijiao Gao, Shuli Mei*. Multifractal Characterization and Recognition of Animal Behavior based on Deep Wavelet Transform. Pattern Recognition Letters, 2024,180:90-98. https://doi.org/10.1016/j.patrec.2024.02.021

15. Kexin Meng, Meng Liu, Limei Liu, and Shuli Mei*. Registration and inpainting of biological slice images based on Bendlet transform and interval Shannon-Cosine wavelet. International Journal of Wavelets, Multiresolution and Information Processing.2024，22（03）, Article No. 2350062. https://doi.org/10.1142/S0219691323500625

SCI-2023年度

16. Kexin Meng, Meng Liu, Shuli Mei*, Linqiang Yang. A high-fidelity inpainting method of micro-slice images based on Bendlet analysis. Biosystems Engineering. 2023, 230:16-34. https://doi.org/10.1016/j.biosystemseng.2023.04.002

17. Yafei Liu, Linqiang Yang, Hongmei Ma, Shuli Mei*. Adaptive filter method in Bendlet domain for biological slice images[J]. Mathematical Biosciences and Engineering, 2023, 20(6): 11116-11138. doi: 10.3934/mbe.2023492

18. Ma, Z.; Yuan, S.; Meng, K.;Mei, S.*. Mean-Square Stability of Uncertain Delayed Stochastic Systems Driven by G-Brownian Motion. Mathematics 2023, 11, 2405. https://doi.org/10.3390/math11102405

19. Hu, H., Cattani, P., & Mei, S. *(2023). Hermite-Shannon-Cosine spectral method for fractional partial differential equations. Expert Systems, e13370. https://doi.org/10.1111/exsy.13370

20. Shuli Mei*, Shenghan Mei, Ruyi Xing, Piercarlo Cattani. A chaotic bio-mechanics model of dairy cow leg. Chaos, Solitons and Fractals 173 (2023) 113662. https://doi.org/10.1016/j.chaos.2023.113662

21. Haitao Hu, Hongmei Ma and Shuli Mei*. Multi-Layer Deep Sparse Representation for Biological Slice Image Inpainting. CMC-Computers Materials & Continua. 2023,76(3):3813-3831. DOI: 10.32604/cmc.2023.041416

22. Linqiang Yang，Yafei Liu,Hongmei Ma,Xue Liu,and Shuli Mei*.Adaptive Hierarchical Collocation Method for Solving Fractional,Journal of Mathematics,2023,2023. Article ID 2323418, 12 pages.https://doi.org/10.1155/2023/2323418

23. Meng Liu，Zhao Min，Li Li，Piercarlo Cattani，Shuli Mei*.Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations.Expert Systems. 2023;1-18.https://doi.org/10.1111/exsy.13476

SCI-2022年度

24. Haihua Wang,Jiaonan Liu,Limei Liu, Min Zhao, Shuli Mei*. Coupling technology of OpenSURF and Shannon-Cosine wavelet interpolation for locust slice images inpainting. Computers and Electronics in Agriculture, 2022,198, 107110，https://doi.org/10.1016/j.compag.2022.107110

25. Limei Liu,Meng Liu, Kexin Meng, Linqiang Yang, Min Zhao, Shuli Mei*.Camouflaged locust segmentation based on PraNet. Computers and Electronics in Agriculture, 2022,198, 107061   https://doi.org/10.1016/j.compag.2022.107061

26. Shuli Mei, Meng Liu,Aleksey Kudreyko, Piercarlo Cattani, Denis Baikov,Francesco Villecco. Bendlet Transform Based Adaptive Denoising Method for Microsection Images, Entropy 2022, 24, 869. https://doi.org/10.3390/e24070869

27. Liu Meng, Meng Kexin, Xing Ruyi, Shuli Mei, Carlo Cattani*. Haar wavelet transform and variational iteration method for fractional option pricing models. Mathematical Methods in the Applied Sciences, 2022. DOI: 10.1002/mma.8343

28. 刘利梅，陈晓晋，孙世伟，王宇，王辉，梅树立*，王耀君*. 深度学习应用于药物活性预测研究综述. 生物化学与生物物理进展, 2022

29. Meng Liu, Shuli Mei, Pengfei Liu, Yusif Gasimov and Carlo Cattani*. A New X-Ray Medical-Image-Enhancement Method Based on Multiscale Shannon–Cosine Wavelet. Entropy. 2022, 24, 1754. https://doi.org/10.3390/e24121754

30. Jin'fei Liu, Shuli Mei, Tao Song and Hong'hao Liu*. Feature extraction of 3D Chinese rose model based on color and shape features. Front. Plant Sci. 13:1042016. doi: 10.3389/fpls.2022.1042016

31. Meng, K.; Cattani, P.; Villecco, F. Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model. Entropy 2022, 24, 1199. https://doi.org/10.3390/e24091199

2021年度

32. Aiping Wang, Li Li*, Shuli Mei*, Kexin Meng. Hermite Interpolation Based Interval Shannon-Cosine Wavelet and Its Application in Sparse Representation of Curve. Mathematics 2021, 9, 1.https://dx.doi.org/10.3390/math9010001

33. Xing Ruyi, Liu Meng, Kexin Meng, Shuli Mei*. Coupling Technique of Haar Wavelet Transform and Variational Iteration Method for nonlinear Option Pricing Model. Mathematics 2021, Mathematics,2021, 9, 1642. https://doi.org/10.3390/math9141642.

2020年度

34. Shi Qinglan*, Shi Yujiao, Liu Xiaochen, Mei Shuli* and Feng Lei. A high-sensitivity multilayer soil moisture monitoring sensor based on a double high-frequency tuning detection circuit.  International Journal of Distributed Sensor Networks. 2020, Vol. 16(2). https://doi.org/10.1177/1550147720907826

35. Haihua Wang ,Xinxin Zhang, Shuli Mei*. Shannon-Cosine wavelet precise integration method for locust slice image mixed denoising. Mathematical Problems in Engineering, 2020，2020: Article ID 4989735. https://doi.org/10.1155/2020/4989735 (SCI/EI).

36. Ruyi Xing, Yanqiao Li, Qing Wang, Yangyang Wu, Shuli Mei*. Point-Symmetric Extension-Based Interval Shannon-Cosine Spectral Method for Fractional PDEs. Discrete Dynamics in Nature and Society, Volume 2020, Article ID 4565036, 10 pageshttps://doi.org/10.1155/2020/4565036(SCI/EI)

37. Ningning Feng , Xi Kang, Haoyuan Han, Gang Liu, Yan’e Zhang*，and Shuli Mei . Research on a Dynamic Algorithm for Cow Weighing Based on an SVM and Empirical Wavelet Transform. Sensors 2020, 20, 5363; doi:10.3390/s20185363

SCI-2019之前

38. Shuli Mei, Wanlin Gao. Shannon–Cosine wavelet spectral method for solving fractional Fokker–Planck equations. International Journal of Wavelets,Multiresolution and Information Processing,2018,16(2):1850021(26 pages)

39. Shenghan Mei, Xiaochun Liu*, Shuli Mei*. Cell-filtering-based multi-scale Shannon–Cosine wavelet denoising method for locust slice image. International Journal of Wavelets,Multiresolution and Information Processing,2019,17(3): 1950035 (22 pages) DOI: 10.1142/S0219691319500358

SCI-2014

40. Shu-Li Mei*. Faber-Schauder Wavelet Sparse Grid Approach for Option Pricing with Transactions Cost. Abstract and Applied Analysis, Volume 2014, Article ID 168630, 10pages. (SCI) IDS 号: AG8XY, ISSN: 1085-3375

41. Shu-Li Mei*.VIM-based Dynamic Sparse Grid Approach to Partial DifferentialEquations. The Scientific World Journal, Volume 2014, Article ID 390148, 14 pages. (SCI) http://dx.doi.org/10.1155/2014/390148

42. Shu-Li Mei*. HPM-based Dynamic Sparse Grid Approach for Perona-Malik Equation. The Scientific World Journal, Volume 2014, Article ID 417486, 15 pages. (SCI)IDS号: AR3FH, ISSN: 1537-744X

43. Hai-Hua Wang,Shu-Li Mei*.Shannon Wavelet Precision Integration Method for Pathologic Onion Image Segmentation Based on Homotopy Perturbation Technology. Mathematical Problems in Engineering, Volume 2014, Article ID 601841, 10 pages.http://www.hindawi.com/journals/mpe/apc/601841 (SCI/EI)

SCI-2013

44. Shu-Li Mei*. Construction of Target Controllable Image Segmentation Model Based on Homotopy Perturbation Technology. Abstract and Applied Analysis,vol.2013, Article ID 131207, 8 pages. 2013

45.  Shu-Li Mei*. HAM-Based Adaptive Multiscale Meshless Method for Burgers Equation. Journal of Applied Mathematics, vol.2013, Article ID 248246, 9 pages. 2013

46. Shu-Li Mei*.HPM-based Dynamic Wavelet Transform and Its Application in Image Denoising. Mathematical Problems in Engineering, vol.2013, Article ID 309418 (EI同时收录)

47. Shu-Li Mei, Dehai Zhu. Interval Shannon Wavelet Collocation Method for Fractional Fokker-Planck Equation. Advances in Mathematical Physics, vol.2013, Article ID 821820, 10 pages, 2013.

SCI-2011

48. Kui Fu Chen and Shu Li Mei. Accelerations of Zhao’s methods for the numerical inversion of Laplace transform. Int. J. Numer. Meth. Biomed. Engng. 2011; 27:273–282（EI 同时收录）

SCI-2010

49. Kui Fu Chen and Shu Li Mei. Composite Interpolated Fast Fourier Transform With the Hanning Window. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 59, NO. 6, JUNE 2010:1571-1579（EI 同时收录）

SCI-2008

50. Shu-Li Mei*, Hong-Liang Lv, Qin Ma. Construction of Interval Wavelet Based on Restricted Variational Principle and Its Application for Solving Differential Equations. Mathematical Problems in Engineering, Volume 2008, Article ID 629253, 14 pages. doi:10.1155/2008/629253　（EI 同时收录）

51. Shu-Li Mei*, Cheng-Jin Du, Sen-Wen Zhang. Linearized perturbation method for stochastic analysis of a rill erosion model. Applied Mathematics and Computation 200 (2008) 289–296（EI 同时收录）

52. Shu-Li Mei*, Cheng-Jin Du, Sen-Wen Zhang. Asymptotic numerical method for multi-degree-of-freedom nonlinear dynamic systems. Chaos, Solitons and Fractals 35 (2008) 536–542（EI 同时收录）

53. Qin Ma, Ru-Yi Xing, Shu-Li Mei*. APPLICATION OF HOMOTOPY PERTURBATION METHOD TO REGULARIZATION OF SCALAR IMAGES. Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 31, 2008, 305–313（EI 同时收录）

SCI-2007

54. Shu-Li Mei*, Sen-Wen Zhang. Coupling technique of variational iteration and homotopy perturbation methods for nonlinear matrix differential equations. Computers and Mathematics with Applications 54 (2007) 1092–1100. （EI 同时收录）

SCI-2005

55. Mei Shuli*, Lu Qishao, Zhang Senwen, Jin Li. ADAPTIVE INTERVAL WAVELET PRECISE INTEGRATION METHOD FOR PARTIAL DIFFERENTIAL EQUATIONS. Applied Mathematics and Mechanics, 2005, Vol.26 No.3 Mar:364-371（EI 同时收录）

56. Suqi Ma, Qishao Lu*, Shuli Mei. Dynamics of a logistic population model with maturation delay and nonlinear birth rate. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS- SERIES B, 2005,5(3): 735-752（EI 同时收录）

3. EI收录

1. 梅树立*.基于变分法和剪切波耦合算法的蝗虫切片保纹理图像降噪.农业工程学报,2016,32(17):152-159

2. 梅树立; 李晓飞; 赵海英; 李丽*; 郭书君,等.基于剪切波和全变分的农田遥感图像去噪去伪影方法. 农业工程学报,2017,33(S1): 274-280 (EI)

3. 梅树立*，高万林.基于区间小波编码的图像混沌加密技术.计算机工程，2006, 32(16): 202-204

4. 梅树立*,张森文.基于精细积分技术的非线性动力学方程的同伦摄动法.计算力学学报，2005，22（6）：665-670

5. 梅树立,张森文, 陆启韶.基于同伦技术的Burgers方程的小波精细积分算法.计算物理，2007，24（1）：54-58

6. 梅树立, 陆启韶, 张森文. 求解非线性偏微分方程的自适应小波精细积分法. 计算物理，2004，21（6）：523-530

7. 梅树立*,张森文,雷廷武.Burgers方程的小波精细积分算法,计算力学学报，2003,20(1):49-52

8. 许文宁,梅树立*,王鹏新,杨勇.遥感影像的自适应小波精细积分降噪方法.农业机械学报, 2011, 42 (4) : 148-152

9. 许文宁,梅树立*,王鹏新,杨勇.改进CV模型在高分辨率遥感影像分割中的应用, 2011, 42 (3) :180-183

10. 张兰霞,杨勇,梅树立*.图像降噪的小波精细积分方法.农业机械学报，2006，37（7）：109-112

11. 庞守林,梅树立*.水土侵蚀过程分析的小波精细积分法.农业机械学报，2006，37（10）：124-126

12. Jiang Jingtao,Wang Yanyao,Yang Ranbing,Mei Shuli*.Variety identification of corn seed based on Bregman Split method.农业工程学报(English Edition),2012,28（S2）:248-252

13. Qin Ma, Shuli Mei*,Dehai Zhu．Application of Microscopic Image SegmentationTechnology in Locust-Control Pesticide Research．Education Technology and Computer Science (ETCS), 2010 Second International Workshop on．Date of Conference: 6-7 March 2010，Second International Workshop on Education Technology and Computer Science．Volume: 3Page(s): 15 – 18

14. Qin Ma, Dehai Zhu, Shuli Mei. 3D Reconstruction of Locust based on improved Chan-vese model for Biological education. Information technology journal, 2013,12(20):5859-5864

15. Ma Qin，Mei Shuli*, Zhu Dehai. Construction of quasi interval wavelet based on constrained variational principle. Processings of the 2009 2^nd International congress on Image and signal processing, CISP’09,2009, Proceedings of 2009 2^nd International congress on Image and Signal processing, CISP’09

16. 王海华,李长缨,梅树立,李民赞. 农产品线扫描高光谱成像系统的集成标定方法.农业工程学报，2012，28（14）：244-249

17. 李丽,柴文婷,梅树立.基于自适应全局阈值融合标记的遥感图像建筑群分割. 农业机械学报, 2013,44(7):222-228

18. Ma Qin,Jiang Jingtao,Zhu Dehai,Li Shaoming,Mei Shuli,Lü Yongchun.Rapid measurement for 3D geometric features of maize earbased on image processing.农业工程学报(English Edition)，2012，28（S2）：208-212

19. 李丽，张楠楠，梅树立，李晓飞. 基于自适应小波偏微分方程的蝗虫切片图像去噪,农业工程学报，2015,31(20):172-177

20. 李丽,郭双双,梅树立,张楠楠. 基于特征点提取匹配的蝗虫切片图像的拼接和修复方法, 农业工程学报，2015,31(7):157-165

21. 李丽，郭双双，梅树立，张楠楠. 基于单元最邻近匹配的蝗虫切片图像修复方法, 农业机械学报，2015,46(8): 15-19

22. 付强,梅树立,李莉,王俊衡,王海华*.水肥一体化智能调控设备智能液位开关设计.农业机械学报, 2015, 46(s1): 108~115

23. 李晓飞,梅树立,李丽.基于Meyer窗函数剪切波变换的蝗虫切片图像去噪.农业机械学报,2016,47(S1):449-456

24. 李丽,张楠楠,梅树立,李晓飞.番茄图像保纹理降噪的各向异性动态扩散模型研究, 农业机械学报,2016,47(11):18-24

25. 张彦娥，魏颖慧，梅树立，朱梦婷.基于多尺度区间插值小波法的牛肉图像中大理石花纹分割. 农业工程学报，2016,32(21):296-304

26. 王海华,付强,孟繁佳,梅树立,王俊衡,李莉.模糊与PI分段调控肥液EC的优化设计与试验. 农业工程学报,2016,32(15):110-116

27. 魏颖慧，张彦娥*,梅树立, 等. 基于基于暗通道先验和区间插值小波变换的图像去雾霾方法. 农业工程学报. 2017,33(S1):281-297

28. 王海华;朱梦婷;李莉;王丽燕;赵海英;梅树立*基于剪切波变换和无人机麦田图像的区域杂草识别方法.农业工程学报. 2017,33(S1):99-106

29. 许常蕾; 王庆; 陈洪; 梅树立; 杜利强. 基于体感交互的仿上肢采摘机器人系统设计与仿真.农业工程学报. 2017,33(S1):49-55

30. 郭书君,梅树立*,李丽.基于Shannon-Cosine小波的农田遥感图像纹理延拓. 农业机械学报,2017,48(S1):142-146. doi:10.6041/j.issn.1000-1229.2017.s0.023

31. 郭书君,李丽,梅树立*.基于自适应概率PCA的植物叶片彩色图像修复. 农业机械学报,2017,48(S1):147-152,165. doi:10.6041/j.issn.1000-1298.2017.s0.024

32. 王海华,朱梦婷,王丽艳,梅树立*. 基于块排序的降噪方法及其在农业图像中的应用. 农业机械学报,2017,48(S1):172-177. doi:10.6041/j.issn.1000-1298.2017.s0.028

33. 魏帅均,张彦娥,梅树立.基于俯视图像的玉米株心快速识别方法研究.农业机械学报,2017,48(S1):136-141. doi:10.6041/j.issn.1000-1298.2017.s0.022

EI-2018年度

34. 王鹏新,冯明悦,梅树立,张树誉,李红梅. 应用Morlet评估不同生育时期干旱对小麦单产的影响. 中国农业信息,2018,30(3):1-13DOI：10.12105/j.issn.1672-0423.20180301

35. 王鹏新,冯明悦,梅树立,李俐,张树誉,景毅刚.条件植被温度指数的多尺度特性分析与应用. 武汉大学学报(信息科学版),2018,43(6):915-921（EI）DOI: 10.13203/j.whugis20160105

36. Yang Shanjie ,  Mei Shuli , Zhang Yan’e . Detection of Maize Navigation Centerline Based on Machine Vision[J]. IFAC-PapersOnLine, 2018, 51(17):570-575.

EI-2019年度

37. 王海华, 张馨心, 梅树立*.基于Bandelet变换的参数化阈值函数降噪算法. 农业机械学报, 2019, 50 (S0) :159-166

38. 冯宁宁,刘刚,张彦娥,梅树立,杨跚杰.基于EMD 的奶牛动态称量算法. 农业机械学报, 2019,50(S0):305-312

39. 高若婉,梅树立,李丽,王爱萍.基于小波精细积分与暗通道的农田图像去雾算法.农业机械学报, 2019,50(S0):167-174

EI-2020年度

40. 李丽，朱磊平，梅树立*. 蝗虫切片图像混合降噪的Shannon-Cosine小波精细积分法. 农业机械学报, 2020,51(9):186-192 DOI: 10.6041/j.issn.1000-1298.2020.09.021

41. 石玉娇,尹峥,王红叶,刘晓辰,石庆兰*,梅树立.尿素对土壤水分传感器测量精度的影响.农业机械学报, 2020,51(S2):388-394,407

42. Qi Jianfang , Mei Shuli*. Segmentation of remote sensing image building group based on GCS marker watershed. International Agricultural Engineering Journal, 2020,29(1):403-409.

EI-2021年度

43. 梅玉鹏,刘毅,李国燕,潘玉恒,梅树立.一类不确定网络切换模糊系统的非脆弱控制.控制工程。2021，DOI：10.14107/j.cnki.kzgc.20180780

44. 孟可欣,刘梦,郭书君,梅树立*.Hermite-Shannon-Cosine 区间小波及其在图形自适应分划插值中的应用. 计算机辅助设计与图形学学报, 2021,33(10):1573-1581  

DOI: 10.3724/SP.J.1089.2021.18780

45. 张悦,王鹏新,张树誉,梅树立,李红梅,陈弛. 基于双参数和Morlet多时间尺度特性的冬小麦单产估测.农业机械学报. 2021,52(10) doi:10.6041/j.issm.1000-1298.2021.10.025

4. CPCI-S收录

CPCI-S2023年

1. Zhao, M., Zhu, L., Mei, S. (2023). Bendlets and Sparse Representation for Biological Image Inpainting. In: You, P., Li, H., Chen, Z. (eds) Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022). ICIVIS 2022. Lecture Notes in Electrical Engineering, vol 1019. Springer, Singapore. https://doi.org/10.1007/978-981-99-0923-0_15

2. Wang, T., Guercio, V., Cattani, P., Villecco, F. (2023). A Review of Research Progress and Application of Wavelet Neural Networks. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_56

3. Liu, Y., Guercio, V., Cattani, P., Villecco, F. (2023). Edge Detection Algorithm for Biological Slice Images Based on Empirical Wavelet Transform and Morphology. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_58

CPCI-S2022年

4. Haitao, H., Cattani, P., Guercio, V., Villecco, F. (2022). Shearlet Transform and the Application in Image Processing. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-031-05230-9_55

5. Qin, W., Zhao, M., Mei, S., Cattani, P., Guercio, V., Villecco, F. (2022). Realization of Single Image Super-Resolution Reconstruction Based on Wavelet Transform and Coupled Dictionary. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-031-05230-9_53

6. Mei, S., Zhu, L., d’Amore, M., Formato, A., Villecco, F. (2022). Shearlet and Patch Reordering Based Texture Preserving Denoising Method for Locust Slice Images. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472：457–463. Springer, Cham. https://doi.org/10.1007/978-3-031-05230-9_54

CPCI-S2021年之前

7. De Shu-Min, Mei Shu-Li*, Zhang Sen-Wen. Wavelet Perturbation Method for Stochastic Analysis of a Rill Erosion Model. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS- SERIES B, 2007,14(S2): 283-287

8. Qin Ma, Shuli Mei*. Adaptive Interpolation Wavelet and Homotopy Perturbation Method for Partial Differential Equations. Journal of Physics: Conference Series 96 (2008) 012075. doi:10.1088/1742-6596/96/1/012075

9. 梅树立,张森文,陆启韶.基于同伦技术的Burgers方程的小波精细积分算法.中国计算力学大会’2003,会议报告

10. 梅树立,陆启韶.求解非线性偏微分方程的自适应小波精细积分法.中国计算力学大会’2003,会议报告

5. 核心期刊

1. 梅树立, 陈忠良, 张来生. 基于深度测试的平面图形消隐技术.计算机辅助设计与制造, 1999,(9): 44-46

2. 梅树立, 张森文, 郭幸福,等. 小波分析的发展及其在随机有限元动力分析方法中的应用. 应用力学研究与实践, 广州: 暨南大学出版社, 2000,7:132-137

3. 梅树立, 江景涛, 陈忠良, 等. 二维图形中相切关系分析及计算机编码方法, 中国农业大学学报, 2000,5(2):87-91.

4. 梅树立, 张彦娥. 计算机图形学中二维布尔运算的稳定性分析. 中国农业大学学报2001,6(4):81-84

5. 梅树立, 张森文, 陈忠良. 基于参数化零件图的二维装配图修改技术.中国农业大学学报, 2001,6(2):73-76

6. 梅树立,张森文. 考虑装配图生成和修改的二维参数绘图系统. 中国人工智能进展：2001.

7. MeiShuli, ZhangSenwen. Wavelet Numerical Method on FPK Equations for Stationary Nonlinear Random System.  '2001亚太振动会议论文集

8. 梅树立,陈忠良,江景涛. 基于AutoCAD的任意复杂窗口裁剪技术.中国农业大学学报,2001,6(6):.

9. 梅树立,张森文,雷廷武. 求解非线性随机振动的FPK方程的小波数值方法. 暨南大学学报.2002,23(1): 28-33

10. 梅树立,陈奎孚,张森文,雷廷武. 两点边值问题的拟Shannon小波配置法. 中国农业大学学报.2002,7(2): 12-16

11. 梅树立, 陆启韶, 张森文, 金俐.偏微分方程的区间小波自适应精细积分法.应用数学和力学，2005，26（3）：333-341

12. 梅树立,张森文,徐加初,郭幸福.非线性动力学方程的自适应精细积分.暨南大学学报(自然科学版),2005,26(3):319-323

13. 陈忠良, 梅树立. 二维图形参数化设计中几何约束模型改进的无向图存储结构. 中国农业大学学报, 2000,5(2):100-103.

14. 江景涛, 梅树立. 基于基本图元的二维参数绘图中几何约束模型的建立. 制造业自动化, 2000,22(10): 56-59.

15. 江景涛,梅树立,陈忠良,等. 支持装配图设计的轴类零件图参数化绘制. 中国农业大学学报, 2001,6(2):77-81

16. 陈忠良, 梅树立, 张来生. 直接调用AutoCAD命令实现二维装配图自动消隐. 机械设计, 1999,16(8):48-50.

17. 江景涛,梅树立. 平面图形的快速消隐技术及应用, 机械设计.2001,(11)

18. 陈忠良, 张森文, 梅树立.切比雪夫级数逼近迭代法求解弹性体特征值的上下限，湖南大学学报(自然科学版),28(4):100-103

19. 梅树立, 索皎莉. 求解非线性期权定价模型的自适应小波同伦摄动技术. 动力学与控制学报.2012,10(4):360-365

20. 梅树立. 求解非线性Black-scholes模型的自适应小波精细积分法. 经济数学, 2012,29(4):1-7

21. 德淑敏,黄成,梅树立*.求解任意多边形区域二维偏微分方程的小波精细积分法.中国农业大学学报 2007,12(3):81-84

22. 吴红丹，梅树立*，李 丽，王海华.采用 ObjectARX 2006 的多段线自动生成及编辑.工程图学学报,2007(2):179-182

23. 马钦，朱德海，梅树立.超微图像三维重建技术在治蝗农药研究中应用.农机化研究, 2010(1): 194-198

24. 麻子侃，王秀，梅树立，张睿.基于SMC6480的分散农户配肥系统设计.农机化研究,2012,12:104-107

25. 王奇文，郑丽敏，梅树立.基于形态学的小鼠舌头切片图像分割与实现.计算机工程,2011,37(19):5-8

26. 汪成峰,陈洪,张瑞萱,朱德海,王庆,梅树立.带有关节权重的 DTW 动作识别算法研究. 图学学报,2016,37(4):537-544

27. 汪成峰,王庆,梅树立,张瑞萱,陈洪,朱德海.基于插值小波关键帧提取的动作评价算法.计算机工程,2017,43(1):309-315

28. 邢如义,梅树立. 小波自适应数字图像水印算法. 中国农业大学学报(已录用)

29. 邢如义,梅树立.基于正交小波包变换的工程图纸降噪方法. 中国农业大学学报(已录用)

30. 岳峻,邢如义, 梅树立.基于LAMP的MVC模式电子商务网站的构建. 中国农业大学学报(已录用)

31. 金俐,王琪,陆启韶, 梅树立. 多体系统碰撞点自动搜索方法. 中国农业大学学报(已录用)

2019

32. 李丽,高若婉,梅树立,赵海英.基于Shannon-Cosine小波精细积分法的壁画降噪修复方法. 浙江大学学报（理学版）,2019,46(3):279-287DOI：10.3785/j.issn.1008⁃9497.2019.03.003

33. 刘毅，梅玉鹏，李国燕，潘玉恒，梅树立．基于观测器的网络切换模糊时滞系统鲁棒控制[J/OL]．计算机应用研究.37(9)

https://doi.org/10.19734/j.issn.1001-3695.2019.04.0143

2021

34. 刘毅,梅玉鹏,李国燕,潘玉恒,梅树立.基于T-S模糊模型的多时滞非线性网络切换控制系统非脆弱H_∞控制.控制与决策 DOI：10.13195/j.kzyjc.2019.1098

35. 刘晓辰,曹春燕,王思思,范海燕,梅树立,石庆兰.土壤墒情监测技术在灌溉水利用系数测算中的应用.农机化研究，2021（8）：113-119

6. 一般期刊

1. 梅树立，张彦娥，李 丽，吴红丹.两年制硕士研究生创新教育探析.农业网络信息,2010(7):124-126

2. 梅树立，马钦.案例教学法在研究生创新教育中的应用.农业网络信息，2010（6）：121-123

3. 梅树立，袁红云，邢如义.基于ObjectARX 2006的平面图形消隐. 电脑编程技巧与维护，2006（7）：60-63

4. 梅树立,高万林.从农机化的发展过程看农业信息化的建设. 农业网络信息，2005（6）：4-6

5. 刘鹏飞，梅树立*.Laplace 多尺度图像增强去噪算法. 农业网络信息，2010（11）：142-144

6. 德淑敏, 梅树立*.基于知识融合的研究性学习教学模式构建. 农业网络信息，2008（3）：107-108

7. 李丽,贺刚,张彦娥,梅树立,宫薇薇.研究生入学初试改革的研究与探讨.北京航空航天大学学报(社会科学版),2007,20(S):37-40

8. 张彦娥, 梅树立, 李欢.工程制图试题库设计与实现.农业网络信息，2007

软件著作 专利