High-resolution images based on directional fusion of gradient. - Liqiong Wu; Yepeng Liu; Brekhna; Ning Liu; Caiming Zhang 001 (Comput. Vis. Media, 2016)

Consistency Guarantee Method of Electronic Record Based on Blockchain in Cloud Storage. - Yongjun Ren; Linhui Kong; Yepeng Liu; Jin Wang 001 (ICCCS (2), 2018)

Digital Continuity Guarantee Based on Data Consistency in Cloud Storage. - Yongjun Ren; Yepeng Liu; Chengshan Qian (ICCCS (3), 2018)

Preservation Mechanism of Electronic Record Based on Erasure Code and Multi Copies in Cloud Storage. - Yongjun Ren; Lin Zhou; Yepeng Liu; Xiaorui Zhang (ICCCS (3), 2018)

Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks. - Yongjun Ren; Yepeng Liu; Sai Ji; Arun Kumar Sangaiah; Jin Wang 001 (Mob. Inf. Syst., 2018)

A CCA-secure multi-conditional proxy broadcast re-encryption scheme for cloud storage system. - Yepeng Liu; Yongjun Ren; Chunpeng Ge; Jinyue Xia; Qirun Wang (J. Inf. Secur. Appl., 2019)

Single Image Super-Resolution via Dynamic Lightweight Database with Local-Feature Based Interpolation. - Na Ding; Yepeng Liu; Lin-Wei Fan; Caiming Zhang 001 (J. Comput. Sci. Technol., 2019)

Adaptive iterative global image denoising method based on SVD. - Yepeng Liu; Xuemei Li 001; Qiang Guo 003; Caiming Zhang 001 (IET Image Process., 2020)

Two-stage image smoothing based on edge-patch histogram equalisation and patch decomposition. - Yepeng Liu; Xiang Ma; Xuemei Li 001; Caiming Zhang 001 (IET Image Process., 2020)

Design of dry-type transformer temperature controller based on internet of things. - Yan Leng; Jian Qi; Yepeng Liu; Fujian Zhu (Int. J. Embed. Syst., 2020)

Image enlargement method based on cubic surfaces with local features as constraints. - Yepeng Liu; Xuemei Li 001; Xin Zhang 079; Caiming Zhang 001 (Signal Process., 2020)

MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. - Yepeng Liu; Zaiwang Gu; Shenghua Gao; Dong Wang; Yusheng Zeng; Jun Cheng 003 (BMVC, 2021)

Single image super-resolution using feature adaptive learning and global structure sparsity. - Jinlong Liu; Yepeng Liu; Heling Wu; Jiaye Wang; Xue-mei Li 001; Caiming Zhang 001 (Signal Process., 2021)

Image smoothing based on histogram equalized content-aware patches and direction-constrained sparse gradients. - Yepeng Liu; Fan Zhang 045; Yongxia Zhang; Xuemei Li 001; Caiming Zhang 001 (Signal Process., 2021)

Integrity Verification Mechanism of Sensor Data Based on Bilinear Map Accumulator. - Yongjun Ren; Jian Qi; Yepeng Liu; Jin Wang 001; Gwang-Jun Kim (ACM Trans. Internet Techn., 2021)

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 001; Caiming Zhang 001 (Vis. Comput., 2022)

Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery. - Chenguang Wang 012; Yepeng Liu; Xiaojian Zhang; Xuechun Li; Vladimir Paramygin; Arthriya Subgranon; Y. Peter Sheng; Xilei Zhao; Susu Xu (EM-GIS, 2023)

Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising. - MingYan Zhang; Mingli Zhang; Feng Zhao 006; Fan Zhang 045; Yepeng Liu; Alan C. Evans (ICIP, 2023)

TrojText: Test-time Invisible Textual Trojan Insertion. - Qian Lou; Yepeng Liu; Bo Feng (ICLR, 2023)

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models. - Jiaqi Xue; Mengxin Zheng; Ting Hua; Yilin Shen; Yepeng Liu; Ladislau Bölöni; Qian Lou (NeurIPS, 2023)

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers. - Yu Zhang 133; Yepeng Liu; Duoqian Miao 001; Qi Zhang 020; Yiwei Shi; Liang Hu 004 (NeurIPS, 2023)

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. - Jiaqi Xue; Yepeng Liu; Mengxin Zheng; Ting Hua; Yilin Shen; Ladislau Bölöni; Qian Lou (CoRR, 2023)

Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting. - Gongguan Chen; Hua Wang 012; Yepeng Liu; Mingli Zhang; Fan Zhang 045 (Intell. Data Anal., 2023)

Finite-time passivity and synchronisation of complex networks with multiple output couplings. - Yepeng Liu; Lin-Hao Zhao; Yi-Wei Shi; Shun-Yan Ren; Jin-Liang Wang 001 (Int. J. Control, 2023)

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. - Yuliang Gu; Yepeng Liu; Zhichao Sun; Jinchi Zhu; Yongchao Xu; Laurent Najman (BIBM, 2024)

Progressive Retinal Image Registration via Global and Local Deformable Transformations. - Yepeng Liu; Baosheng Yu; Tian Chen; Yuliang Gu; Bo Du 001; Yongchao Xu; Jun Cheng 003 (BIBM, 2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Yu Zhang 133; Qi Zhang 020; Zixuan Gong; Yiwei Shi; Yepeng Liu; Duoqian Miao 001; Yang Liu; Ke Liu; Kun Yi 001; Wei Fan 010; Liang Hu 004; Changwei Wang 001 (ICML, 2024)

Adaptive Text Watermark for Large Language Models. - Yepeng Liu; Yuheng Bu (ICML, 2024)

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. - Zhichao Sun; Yuliang Gu; Yepeng Liu; Zerui Zhang; Zhou Zhao; Yongchao Xu (MICCAI (1), 2024)

A Fast Percolation-Dijkstra Routing Method for Mega-Constellation Backbone Network. - Shenshen Luan; Luyuan Wang; Yepeng Liu; Ninghan Sun; Ran Zhang (CoRR, 2024)

Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. - Haiyun He; Yepeng Liu; Ziqiao Wang; Yongyi Mao; Yuheng Bu (CoRR, 2024)

Frequency-aware robust multidimensional information fusion framework for remote sensing image segmentation. - Junyu Fan; Jinjiang Li; Yepeng Liu; Fan Zhang 045 (Eng. Appl. Artif. Intell., 2024)

MEAformer: An all-MLP transformer with temporal external attention for long-term time series forecasting. - Siyuan Huang; Yepeng Liu; Haoyi Cui; Fan Zhang 045; Jinjiang Li; Xiaofeng Zhang 003; Mingli Zhang; Cai-ming Zhang 001 (Inf. Sci., 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)

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)

Attention Filtering Network Based on Branch Transformer for Change Detection in Remote Sensing Images. - Yu Shangguan; Jinjiang Li; Yepeng Liu; Fan Zhang 045; Caiming Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Dynamic weight HiLo attention network for medical image multiple organ segmentation. - Yiyang Zhao; Jinjiang Li; Yepeng Liu (Int. J. Imaging Syst. Technol., 2024)

Fast and highly coupled model for time series forecasting. - Tiantian Guo; Hua Wang 012; Mingli Zhang; Yepeng Liu; Fan Zhang 045 (Multim. Tools Appl., 2024)

CrossWaveNet: A dual-channel network with deep cross-decomposition for Long-term Time Series Forecasting. - Siyuan Huang; Yepeng Liu; Fan Zhang 045; Yue Li; Jinjiang Li; Caiming Zhang 001 (Expert Syst. Appl., 2024)

A stock series prediction model based on variational mode decomposition and dual-channel attention network. - Yepeng Liu; Siyuan Huang; Xiaoyi Tian 002; Fan Zhang 045; Feng Zhao 006; Caiming Zhang 001 (Expert Syst. Appl., 2024)

Deep recurrent residual channel attention network for single image super-resolution. - Yepeng Liu; Dezhi Yang; Fan Zhang 045; Qingsong Xie; Caiming Zhang 001 (Vis. Comput., 2024)

Probabilistic interval prediction method based on shape-adaptive quantile regression. - Lin Li 078; Hua Wang 012; Yepeng Liu; Fan Zhang 045 (Expert Syst. J. Knowl. Eng., 2024)

Image Watermarks are Removable using Controllable Regeneration from Clean Noise. - Yepeng Liu; Yiren Song; Hai Ci; Yu Zhang; Haofan Wang; Mike Zheng Shou; Yuheng Bu (ICLR, 2025)

CFDformer: Medical image segmentation based on cross fusion dual attention network. - Zhou Yang; Hua Wang 012; Yepeng Liu; Fan Zhang 045 (Biomed. Signal Process. Control., 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)

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)

Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints. - Fan Zhang 045; Min Wang; Lin Li 078; Yepeng Liu; Hua Wang 012 (Eng. Appl. Artif. Intell., 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)

Unsupervised bidirectional generative smoothing framework with frequency decomposition and attention enhancement. - Jiafu Zeng; Yepeng Liu; Huiyu Li; Fan Zhang (Neurocomputing, 2025)

Dual structure-aware image filterings for semi-supervised medical image segmentation. - Yuliang Gu; Zhichao Sun; Tian Chen; Xin Xiao 010; Yepeng Liu; Yongchao Xu; Laurent Najman (Medical Image Anal., 2025)

Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation. - Yepeng Liu; Wenpeng Lai; Yuliang Gu; Gui-Song Xia; Bo Du 001; Yongchao Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. - Yepeng Liu; Zhichao Sun; Baosheng Yu; Yitian Zhao; Bo Du 001; Yongchao Xu; Jun Cheng 003 (IEEE Trans. Image Process., 2025)

Distributional Information Embedding: A Framework for Multi-bit Watermarking. - Haiyun He; Yepeng Liu; Ziqiao Wang; Yongyi Mao; Yuheng Bu (CoRR, 2025)

Bgman: Boundary-Prior-Guided Multi-scale Aggregation Network for skin lesion segmentation. - Zhenyang Huang; Yixing Zhao; Jinjiang Li; Yepeng Liu (Int. J. Mach. Learn. Cybern., 2025)

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes. - Zhichao Sun; Yepeng Liu; Huachao Zhu; Yuliang Gu; Yuda Zou; Zelong Liu; Gui-Song Xia; Bo Du 001; Yongchao Xu (CoRR, 2025)

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs. - Yepeng Liu; Xuandong Zhao; Dawn Song; Yuheng Bu (CoRR, 2025)

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning. - Li An; Yujian Liu; Yepeng Liu; Yang Zhang; Yuheng Bu; Shiyu Chang (CoRR, 2025)

LiftFeat: 3D Geometry-Aware Local Feature Matching. - Yepeng Liu; Wenpeng Lai; Zhou Zhao; Yuxuan Xiong; Jinchi Zhu; Jun Cheng; Yongchao Xu (CoRR, 2025)

In-Context Watermarks for Large Language Models. - Yepeng Liu; Xuandong Zhao; Christopher Kruegel; Dawn Song; Yuheng Bu (CoRR, 2025)

Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization. - Yanting Gao; Yepeng Liu; Junming Liu; Qi Zhang 020; Hongyun Zhang; Duoqian Miao 001; Cairong Zhao (CoRR, 2025)

New perspectives on multivariate time series forecasting: Lightweight networks combined with multi-scale hybrid state space models. - Fei Hao; Junhai Qiu; Xiaofeng Zhang 003; Yepeng Liu; Hua Wang 012; Yujuan Sun; Pengbin Zhang (Expert Syst. Appl., 2026)