Search Results for author: Yudong Zhang

Found 20 papers, 8 papers with code

DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation

no code implementations7 Jan 2025 Bo Liu, Yudong Zhang, Shuihua Wang, Siyue Li, Jin Hong

Retinal vascular morphology is crucial for diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of retinal vessels essential for early intervention.

Domain Generalization Image Segmentation +3

Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"

1 code implementation21 Dec 2024 Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

Contrastive learning is a prevalent technique in self-supervised vision representation learning, typically generating positive pairs by applying two data augmentations to the same image.

Contrastive Learning Data Augmentation +2

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions

1 code implementation8 Sep 2024 Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang

We propose an unconventional method named PIP, which utilizes the attention patterns of one randomly selected irrelevant probe question (e. g., "Is there a clock?")

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

1 code implementation1 Jan 2024 Libin Lan, Pengzhou Cai, Lu Jiang, Xiaojuan Liu, Yongmei Li, Yudong Zhang

Specifically, BRAU-Net++ uses bi-level routing attention as the core building block to design our u-shaped encoder-decoder structure, in which both encoder and decoder are hierarchically constructed, so as to learn global semantic information while reducing computational complexity.

Decoder Image Segmentation +4

Review of AlexNet for Medical Image Classification

no code implementations15 Nov 2023 Wenhao Tang, Junding Sun, Shuihua Wang, Yudong Zhang

In recent years, the rapid development of deep learning has led to a wide range of applications in the field of medical image classification.

Image Classification Medical Image Classification

EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification

1 code implementation9 Nov 2023 Xiao-Cong Zhong, Qisong Wang, Dan Liu, Zhihuang Chen, Jing-Xiao Liao, Jinwei Sun, Yudong Zhang, Feng-Lei Fan

In this paper, we propose a novel multi-source domain generalization framework called EEG-DG, which leverages multiple source domains with different statistical distributions to build generalizable models on unseen target EEG data.

Classification Domain Generalization +2

TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis

no code implementations27 Oct 2023 Ziquan Zhu, Jing Tao, Shuihua Wang, Xin Zhang, Yudong Zhang

Five indexes are selected in this paper, which are accuracy, sensitivity, precision, F1-score, and specificity.

Specificity

DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS

1 code implementation25 Sep 2023 Zhimin Chen, Peng Chen, Le Zheng, Yudong Zhang

After formulating the system model with the mutual coupling effect and the reflection phase/amplitude errors of the RIS, a novel DNNDANM method is proposed for the DOA estimation by combining the deep neural network (DNN) and the decoupling atomic norm minimization (DANM).

Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis

no code implementations18 May 2023 Qiankun Zuo, Hao Tian, Chi-Man Pun, Hongfei Wang, Yudong Zhang, Jin Hong

To be specific, the proposed BIGG framework is based on the diffusion denoising probabilistic models (DDPM), where each denoising step is modeled as a generative adversarial network (GAN) to progressively translate the noise and conditional fMRI to effective connectivity.

Connectivity Estimation Denoising +3

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis

no code implementations25 Apr 2023 Lin Yang, Shuihua Wang, Yudong Zhang

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate.

Computed Tomography (CT) COVID-19 Diagnosis +1

Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks

1 code implementation24 Mar 2023 HUI ZHANG, Xuexin An, Qiang He, YuDong Yao, Yudong Zhang, Feng-Lei Fan, Yueyang Teng

The former informs that nonlinear aggregation of quadratic neurons can amplify useful signals and suppress unwanted noise, thereby facilitating robustness, while the latter reveals that Q-GAT can leverage more features in prediction thanks to the dual attention mechanism, which endows Q-GAT with the ability to confront adversarial perturbation.

Graph Attention

A High-Frequency Focused Network for Lightweight Single Image Super-Resolution

no code implementations21 Mar 2023 Xiaotian Weng, Yi Chen, Zhichao Zheng, Yanhui Gu, Junsheng Zhou, Yudong Zhang

We propose a novel High-Frequency Focused Network (HFFN) through High-Frequency Focused Blocks (HFFBs) that selectively enhance high-frequency information while minimizing redundant feature computation of low-frequency information.

Image Super-Resolution Vocal Bursts Intensity Prediction

Object Scan Context: Object-centric Spatial Descriptor for Place Recognition within 3D Point Cloud Map

no code implementations7 Jun 2022 Haodong Yuan, Yudong Zhang, Shengyin Fan, Xue Li, Jian Wang

The integration of a SLAM algorithm with place recognition technology empowers it with the ability to mitigate accumulated errors and to relocalize itself.

Object

A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System

1 code implementation25 Apr 2022 Zhimin Chen, Peng Chen, Ziyu Guo, Yudong Zhang, Xianbin Wang

A novel estimation method is proposed in the scenario with a receiver using only one full-functional channel, where multiple measurements for the DOA estimation are achieved by controlling the reflection matrix (measurement matrix) in the RIS.

Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains

1 code implementation ACL 2021 Chenghao Yang, Yudong Zhang, Smaranda Muresan

Social media has become a valuable resource for the study of suicidal ideation and the assessment of suicide risk.

Underwater Optical Image Processing: A Comprehensive Review

no code implementations13 Feb 2017 Huimin Lu, Yujie Li, Yudong Zhang, Min Chen, Seiichi Serikawa, Hyoungseop Kim

This paper aims to review the state-of-the-art techniques in underwater image processing by highlighting the contributions and challenges presented in over 40 papers.

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