Yepeng Liu

According to our database, Yepeng Liu authored at least 30 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

New perspectives on multivariate time series forecasting: Lightweight networks combined with multi-scale hybrid state space models.

Fei Hao, Junhai Qiu, Xiaofeng Zhang, Yepeng Liu, Hua Wang, Yujuan Sun, Pengbin Zhang

Expert Syst. Appl., 2026

2025

Dtla-net: a direct2d transformer with linear angle attention network for multi-organ medical image segmentation.

Yepeng Liu, Feiyu Liu, Jinjie Xiao, Xiaofeng Zhang, Fan Zhang

Int. J. Mach. Learn. Cybern., September, 2025

Unsupervised bidirectional generative smoothing framework with frequency decomposition and attention enhancement.

Jiafu Zeng, Yepeng Liu, Huiyu Li, Fan Zhang

Neurocomputing, 2025

A decoupled network with variable graph convolution and temporal external attention for long-term multivariate time series forecasting.

Yepeng Liu, Zhigen Huang, Fan Zhang, Xiaofeng Zhang

Expert Syst. Appl., 2025

Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints.

Fan Zhang, Min Wang, Lin Li, Yepeng Liu, Hua Wang

Eng. Appl. Artif. Intell., 2025

A channel-independent network based on wavelet enhancement for long-term time series forecasting.

Zhigen Huang, Fan Zhang, Yepeng Liu

Eng. Appl. Artif. Intell., 2025

CycleGAN-based unsupervised image smoothing framework with wavelet downsampling and multi-scale spatially-adaptive attention.

Jiafu Zeng, Huiyu Li, Yepeng Liu, Fan Zhang

Digit. Signal Process., 2025

CFDformer: Medical image segmentation based on cross fusion dual attention network.

Zhou Yang, Hua Wang, Yepeng Liu, Fan Zhang

Biomed. Signal Process. Control., 2025

A channel-independent network using patch external attention and mamba for long-term multivariate time series forecasting.

Zhigen Huang, Huiyu Li, Yepeng Liu, Fan Zhang, Xiaofeng Zhang

Appl. Soft Comput., 2025

2024

Probabilistic interval prediction method based on shape-adaptive quantile regression.

Lin Li, Hua Wang, Yepeng Liu, Fan Zhang

Expert Syst. J. Knowl. Eng., August, 2024

Deep recurrent residual channel attention network for single image super-resolution.

Yepeng Liu, Dezhi Yang, Fan Zhang, Qingsong Xie, Caiming Zhang

Vis. Comput., May, 2024

A stock series prediction model based on variational mode decomposition and dual-channel attention network.

Yepeng Liu, Siyuan Huang, Xiaoyi Tian, Fan Zhang, Feng Zhao, Caiming Zhang

Expert Syst. Appl., March, 2024

CrossWaveNet: A dual-channel network with deep cross-decomposition for Long-term Time Series Forecasting.

Siyuan Huang, Yepeng Liu, Fan Zhang, Yue Li, Jinjiang Li, Caiming Zhang

Expert Syst. Appl., March, 2024

Fast and highly coupled model for time series forecasting.

Tiantian Guo, Hua Wang, Mingli Zhang, Yepeng Liu, Fan Zhang

Multim. Tools Appl., January, 2024

Dynamic weight HiLo attention network for medical image multiple organ segmentation.

Yiyang Zhao, Jinjiang Li, Yepeng Liu

Int. J. Imaging Syst. Technol., January, 2024

Attention Filtering Network Based on Branch Transformer for Change Detection in Remote Sensing Images.

Yu Shangguan, Jinjiang Li, Yepeng Liu, Fan Zhang, Caiming Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

CSCNet: A Cross-Scale Coordination Siamese Network for Building Change Detection.

Yiyang Zhao, Xinyang Song, Jinjiang Li, Yepeng Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting.

Siyuan Huang, Yepeng Liu

Knowl. Based Syst., 2024

MEAformer: An all-MLP transformer with temporal external attention for long-term time series forecasting.

Siyuan Huang, Yepeng Liu, Haoyi Cui, Fan Zhang, Jinjiang Li, Xiaofeng Zhang, Mingli Zhang, Cai-ming Zhang

Inf. Sci., 2024

Frequency-aware robust multidimensional information fusion framework for remote sensing image segmentation.

Junyu Fan, Jinjiang Li, Yepeng Liu, Fan Zhang

Eng. Appl. Artif. Intell., 2024

2023

Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting.

Gongguan Chen, Hua Wang, Yepeng Liu, Mingli Zhang, Fan Zhang

Intell. Data Anal., 2023

Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising.

MingYan Zhang, Mingli Zhang, Feng Zhao, Fan Zhang, Yepeng Liu, Alan C. Evans

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Single-image super-resolution based on local biquadratic spline with edge constraints and adaptive optimization in transform domain.

Danya Zhou, Yepeng Liu, Xue-Mei Li, Caiming Zhang

Vis. Comput., 2022

2021

Image smoothing based on histogram equalized content-aware patches and direction-constrained sparse gradients.

Yepeng Liu, Fan Zhang, Yongxia Zhang, Xuemei Li, Caiming Zhang

Signal Process., 2021

Single image super-resolution using feature adaptive learning and global structure sparsity.

Jinlong Liu, Yepeng Liu, Heling Wu, Jiaye Wang, Xue-mei Li, Caiming Zhang

Signal Process., 2021

2020

Image enlargement method based on cubic surfaces with local features as constraints.

Yepeng Liu, Xuemei Li, Xin Zhang, Caiming Zhang

Signal Process., 2020

Two-stage image smoothing based on edge-patch histogram equalisation and patch decomposition.

Yepeng Liu, Xiang Ma, Xuemei Li, Caiming Zhang

IET Image Process., 2020

Adaptive iterative global image denoising method based on SVD.

Yepeng Liu, Xuemei Li, Qiang Guo, Caiming Zhang

IET Image Process., 2020

2019

Single Image Super-Resolution via Dynamic Lightweight Database with Local-Feature Based Interpolation.

Na Ding, Yepeng Liu, Lin-Wei Fan, Caiming Zhang

J. Comput. Sci. Technol., 2019

2016

High-resolution images based on directional fusion of gradient.

Liqiong Wu, Yepeng Liu, Brekhna, Ning Liu, Caiming Zhang

Comput. Vis. Media, 2016