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IEEETrans系列汇刊TPAMI、TIP、TKDE、TCSVT、TNNLS、TII、TCYB等，以及ACM Transactions on Knowledge Discovery from Data (TKDD)，Pattern Recognition(PR), Neural Networks等期刊审稿人，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，完结。

学生培养：

[1].2025年研究生国家奖学金：黄志根、曾家福（第二届研究生）

[2].2024年研究生国家奖学金：黄思远（第一届研究生）

[3].2025年山东省研究生创新成果：黄志根、曾家福

论文：

第一或通讯作者论文

[1].ZhigenHuang,Yepeng Liu∗, et al. Dual-channel Transformer: Integrating Independence and Dependence for Time Series Forecasting.Expert Systems With Applications, 2026, 300:130258. SCI 1区 Top.  

[2].ZhigenHuang,Yepeng Liu∗, et al. A channel-independent network using patch external attention and mamba for long-term multivariate time series forecasting[J]. Applied Soft Computing, 2025, DOI:ASOC_114036. SCI 2区Top.  

[3].ZhigenHuang,Yepeng Liu∗, et al. A channel-independent network based on wavelet enhancement for long-term time series forecasting[J]. Engineering Applications of Artificial Intelligence, 2025,154:110964. SCI 1区Top.  

[4].Yepeng Liu∗, ZhigenHuang,et al. A decoupled network with variable graph convolution and temporal external attention for long-term multivariate time series forecasting[J].Expert Systems With Applications, 2025, 271:126584. SCI 1区Top.  

[5].JiafuZeng, Yepeng Liu, et al. Unsupervised image smoothing framework with multi-scale separated convolutional attention and multiple loss constraints[J]. Computers & Graphics-UK, 2025, 132:104413. SCI 3区.  

[6].JiafuZeng, Yepeng Liu*, et al. Unsupervised bidirectional generative smoothing framework with frequency decomposition and attention enhancement[j]. Neurocomputing, 2025, 652:131085. SCI 2区.  

[7].JiafuZeng, Yepeng Liu*, et al. CycleGAN-based unsupervised image smoothing framework with wavelet downsampling and multi-scale spatially-adaptive attention. Digital Signal Processing, 2025, 165:105300. SCI 3区.  

[8].FeiyuLiu, Yepeng Liu∗, et al. LMM-UNet: A lightweight UNet with multi-dilated coordinate enhanced and multi-level mixer for skin lesions segmentation. Digital Signal Processing, 2026, 171:105833. SCI 3区.  

[9].Yepeng Liu∗, FeiyuLiu, et al. Dtla-net: a direct2d transformer with linear angle attention network for multi-organ medical image segmentation[J].  International Journal of Machine Learning and Cybernetics , 2025,16(9):6717-6735, SCI 4区.  

[10].XiaoyiTian, Yepeng Liu, et al. SDVS-Net: A spatial dilated convolution and variable self-attention network for multivariate long-term time series forecasting. Neurocomputing, 2025, 619:129148. SCI 2区.  

[11].Siyuan Huang, Yepeng Liu∗, et al. MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting [J]. Information Sciences,2024, 669:120605. SCI 1区Top.

[12].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区Top.

[13].Siyuan Huang, Yepeng Liu∗, et al. CrossWaveNet: A Dual-Channel Network with Deep Cross-Decomposition for Longterm Time Series Forecasting[J].Expert Systems With Applications, 2024, 238: 121642, SCI 1区Top.  

[14].Yepeng Liu∗, Siyuan Huang, et al. 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区Top.  

[15].Zhenyang Huang, Yixing Zhao, Jinjiang Li, Yepeng Liu*. Bgman: Boundary-Prior-Guided Multi-scale Aggregation Network for skin lesion segmentation[J]. International Journal of Machine Learning and Cybernetics, 2024: 1-20.SCI 3区.

[16].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区Top.  

[17].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区Top.

[18].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区Top.

[19].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区.  

[20].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区.

[21].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.

[22].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 区.

[23].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 区.

[24].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区.

[25].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区.

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）。

[6].基于分片分解和直方图均衡化的两阶段图像平滑方法，2024（第一发明人，实质审查）。