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刘业朋
2022-06-27 17:05     (阅读)

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 Transactionson Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), Engineering Applications of Artificial Intelligence (EAAI), Journal ofSelected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IETImage 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学院,获工学学士学位;

2014.09-2020.12,山东大学计算机科学与技术学院,获工学博士学位;

2021.01-2023.12,山东工商学院计算机科学与技术学院,讲师;

2023.09-2024.08,中国科学院烟台海岸带研究所,访学;

2024.01-至今,山东工商学院计算机科学与技术学院,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].山东工商学院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].SiyuanHuang, Yepeng Liu.FL-Net: A multi-scale cross-decomposition network with frequency externalattention 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. Attentionfiltering network based on branch transformer for Change Detection in RemoteSensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing.vol.62, pp. 1-19, 2024, doi: 10.1109/TGRS.2023.3345645. SCI 1.  

[3]. YepengLiu, Siyuan Huang, Xiaoyi Tian, Fan Zhang,Feng Zhao, Caiming Zhang, A stock series prediction model based on variationalmode decomposition and dual-channel attention network[J].ExpertSystems With Applications, 2024, 238:121708,SCI 1.  

[4]. SiyuanHuang, Yepeng Liu, Fan Zhang, YueLi, Jinjiang Li, Caiming Zhang. CrossWaveNet: A Dual-Channel Network with DeepCross-Decomposition for Longterm Time Series Forecasting[J].ExpertSystems With Applications, 2024, 238:121642,SCI 1.  

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

[6]. YiyangZhao, Xinyang Song, Jinjiang Li, Yepeng Liu*. CSCNet: ACross-Scale Coordination Siamese Network for Building Change Detection[J]. IEEEJournal 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]. YepengLiu*,Dezhi Yang, Fan Zhang, Qingsong Xie, Caiming Zhang. Deep Recurrent ResidualChannel Attention Network for Single Image Super-resolution[J]. The VisualComputer, 2023,DOI:10.1007/s00371-023-03044-0. SCI 3.

[8]. YiyangZhao, Jinjiang Li, Yepeng Liu*. Dynamic Weight HiLo AttentionNetwork for Medical Image Multiple Organ Segmentation[J]. International Journalof 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]. YepengLiu, FanZhang, Yongxia Zhang, Xuemei Li, Caiming Zhang*. Image Smoothing Based onHistogram Equalized Content-aware Patches and Direction-constrained SparseGradients[J]. Signal Processing, 2021, 183(4):108037. SCI 2 .

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

[12]. YepengLiu, XuemeiLi*, Qiang Guo, Caiming Zhang. Adaptive Iterative Global Image Denoising MethodBased on SVD[J]. IET Image Processing,2020, 14(13): 3028-3038. SCI 4.

[13]. YepengLiu,Xiang Ma, Xuemei Li *, Caiming Zhang. Two-stage image smoothing based onedge-patch histogram equalization and patch decomposition[J]. IET ImageProcessing,2020, 14(6): 1132-1140. SCI 4.

 

其他论文

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

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

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

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

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

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

[20]. LiqiongWu, 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,ZL202210683222.22023(第一发明人)。

[2].火焰切割装置的切割控制方法,ZL202111281385.X2022(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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