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皇冠HG0088新2:刘业朋副教授

2024/03/14  点击:[]

 

个人简介:

刘业朋,计算机科学与技术专业专业负责人,硕士生导师。担任IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Engineering Applications of Artificial Intelligence (EAAI), IET Image Processing等期刊的审稿人,博士生导师张彩明教授。  

联系方式:lyp@sdtbu.edu.cn。

2010.09-2014.06,山东大学计算机科学与技术皇冠HG0088新2,获工学学士学位;

2014.09-2020.12,山东大学计算机科学与技术皇冠HG0088新2,获工学博士学位;

2021.01-2023.12,山东工商皇冠HG0088新2计算机科学与技术皇冠HG0088新2,讲师;

2023.09-2024.08,中国科皇冠HG0088新2烟台海岸带研究所,访学;

2024.01-至今,山东工商皇冠HG0088新2计算机科学与技术皇冠HG0088新2,副教授。  

研究方向:

[1].计算机图形学

涉及几何造型、几何建模与优化等方面  

[2].图像处理

自然图像处理:涉及图像超分辨率、去噪、平滑和修复等

医学图像处理:涉及单目标、多目标医学图像分割

遥感图像处理:涉及遥感图像变化检测

[3].时间序列预测

时序短期预测:涉及金融大数据预测、智能分析与可视化等

时序长期预测:涉及电力、天气、汇率、交通流量等的预测

科研项目:

[1].国家自然科学基金浙江联合基金重点项目:智慧医疗中大数据分析的基础理论和语义融合技术,2017.1-2021.12,参与,已结题。

[2].山东省自然科学基金青年项目:基于低秩拟合多尺度特征融合建模的图像修复关键技术研究,2022.1-2024.12,主持,在研。

[3].山东捷瑞数字技术开发成果转化,2022.6-2022.9,主持,完结(横向)。

[4].山东工商皇冠HG0088新2财富管理跨学科交叉研究项目:“区块链+物联网供应链金融智能化研究,2023.1-2024.12,主持,在研。

代表性论文:

第一或通讯作者

[1].Siyuan Huang, Yepeng Liu?. FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting[J]. Knowledge-Based Systems, 2024: 111473. SCI 1.  

[2].Yu Shangguan, Jinjiang Li, Yepeng Liu*, Fan Zhang, Caiming Zhang. Attention filtering network based on branch transformer for Change Detection in Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing.vol. 62, pp. 1-19, 2024, doi: 10.1109/TGRS.2023.3345645. SCI 1.  

[3].Yepeng Liu?, Siyuan Huang, Xiaoyi Tian, Fan Zhang, Feng Zhao, Caiming Zhang, A stock series prediction model based on variational mode decomposition and dual-channel attention network[J].Expert Systems With Applications, 2024, 238: 121708, SCI 1.  

[4].Siyuan Huang, Yepeng Liu?, Fan Zhang, Yue Li, Jinjiang Li, Caiming Zhang. CrossWaveNet: A Dual-Channel Network with Deep Cross-Decomposition for Longterm Time Series Forecasting[J].Expert Systems With Applications, 2024, 238: 121642, SCI 1.  

[5].Junyu Fan, Jinjiang Li, Yepeng Liu*, Fan Zhang. Frequency-aware robust multidimensional information fusion framework for remote sensing image segmentation[J]. Engineering Applications of Artificial Intelligence, 2024, 129: 107638, SCI 2.

[6].Yiyang Zhao, Xinyang Song, Jinjiang Li, Yepeng Liu*. CSCNet: A Cross-Scale Coordination Siamese Network for Building Change Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1377-1389, 2024, doi: 10.1109/JSTARS.2023.3337999. SCI 2.

[7].Yepeng Liu*, Dezhi Yang, Fan Zhang, Qingsong Xie, Caiming Zhang. Deep Recurrent Residual Channel Attention Network for Single Image Super-resolution[J]. The Visual Computer, 2023,DOI:10.1007/s00371-023-03044-0. SCI 3.

[8].Yiyang Zhao, Jinjiang Li, Yepeng Liu*. Dynamic Weight HiLo Attention Network for Medical Image Multiple Organ Segmentation[J]. International Journal of Imaging Systems and Technology, 2023, DOI:10.1002/ima.22966. SCI 4.  

[9].刘业朋*,杨得志, 李思远, 张帆, 张彩明. 基于图像分解和相对全变分的图像平滑[J]. 图学学报, 2022, 43(6):7, CSCD.

[10].Yepeng Liu, Fan Zhang, Yongxia Zhang, Xuemei Li, Caiming Zhang*. Image Smoothing Based on Histogram Equalized Content-aware Patches and Direction-constrained Sparse Gradients[J]. Signal Processing, 2021, 183(4):108037. SCI 2 .

[11].Yepeng Liu, Xuemei Li, Xin Zhang, Caiming Zhang *. Image enlargement method based on cubic surfaces with local features as constraints[J]. Signal Processing, 2020, 166:107266-107266. SCI 2 .

[12].Yepeng Liu, Xuemei Li*, Qiang Guo, Caiming Zhang. Adaptive Iterative Global Image Denoising Method Based on SVD[J]. IET Image Processing,2020, 14(13): 3028-3038. SCI 4.

[13].Yepeng Liu, Xiang Ma, Xuemei Li *, Caiming Zhang. Two-stage image smoothing based on edge-patch histogram equalization and patch decomposition[J]. IET Image Processing,2020, 14(6): 1132-1140. SCI 4.

其他论文

[14].Mingyan Zhang, Mingli Zhang, Feng Zhao, Fan Zhang, Yepeng Liu, Alan Evans. Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising[C]//2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023: 1825-1829.

[15].Tiantian Guo, Hua Wang, Mingli Zhang, Yepeng Liu, Fan Zhang*. Fast and highly coupled model for time series forecasting. Multimedia Tools and Applications, 2023, DOI:10.1007/s11042-023-15787-y, SCI 4 .  

[16].Gongguan Chen, Hua Wang, Yepeng Liu, Mingli Zhang, Fan Zhang*. Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting. 2023, SCI 4 .

[17].Jinlong Liu, Yepeng Liu, Heling Wu, Jiaye Wang, Xuemei Li, Caiming Zhang*. Single Image Super-Resolution Using Feature Adaptive Learning and Global Structure Sparsity[J]. Signal Processing, 2021(8):108184. SCI 2 .

[18].Danya Zhou, Yepeng Liu, Xuemei Li*, Caiming Zhang. Single-image super-resolution based on local biquadratic spline with edge constraints and adaptive optimization in transform domain[J]. The Visual Computer, 2020(5):1-16. SCI 3.

[19].Na Ding, Yepeng Liu, Linwei Fan, Caiming Zhang*. Single Image Super-Resolution via Dynamic Lightweight Database with Local-Feature Based Interpolation[J]. Journal of Computer Science and Technology, 2019, 34(3):537-549. SCI 2 .

[20].Liqiong Wu, Yepeng Liu, Brekhna, Ning Liu, Caiming Zhang*. High-resolution images based on directional fusion of gradient[J]. Computational Visual Media, 2016(1):13. EI

专利:

[1].基于九曲面片双四次拟合的图像放大方法和装置,ZL202210683222.2,2023(第一发明人)。

[2].火焰切割装置的切割控制方法,ZL202111281385.X,2022(第三发明人)。

[3].基于深度递归残差通道注意力的图像放大方法,2023(第一发明人,实质审查)。

[4].基于变分模态分解和双通道自注意力的电力负荷预测方法,2023(第一发明人,实质审查)。

[5].基于深度交叉分解的双通道电力负荷预测方法, 2024(第二发明人,实质审查)。

 

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