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].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.
[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区.
[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区.
[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区.
[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区.
[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区.
[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区.
[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区.
[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 区.
[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 区.
[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区.
[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区.
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 区.
[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 区.
[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 区.
[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区.
[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 区.
[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）。
