no code implementations • 21 Jan 2025 • Jilan Cheng, Guoli Long, Zeyu Zhang, Zhenjia Qi, Hanyu Wang, Libin Lu, Shuihua Wang, Yudong Zhang, Jin Hong
Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being critical for effective treatment.
no code implementations • 7 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.
1 code implementation • 21 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.
no code implementations • 27 Nov 2024 • Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang
Large vision-language models (LVLMs) have demonstrated exceptional performance on complex multimodal tasks.
1 code implementation • 8 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?")
1 code implementation • 1 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.
no code implementations • 27 Nov 2023 • Xiang Li, Long Lan, Husam Lahza, Shaowu Yang, Shuihua Wang, Wenjing Yang, Hengzhu Liu, Yudong Zhang
EAFP-Med can efficiently extract lesion features from various medical images based on prompts, enhancing the model's performance.
no code implementations • 15 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.
1 code implementation • 9 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.
no code implementations • 27 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.
1 code implementation • 25 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).
no code implementations • 18 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.
no code implementations • 25 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.
1 code implementation • 24 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.
no code implementations • 21 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.
no code implementations • 7 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.
1 code implementation • 25 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.
no code implementations • 3 Dec 2021 • Huiting He, Chengze Jiang, Yudong Zhang, Xiuchun Xiao, Zhiyuan Song
Then the AZTND model is applied to solve the TVQM problem.
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.
no code implementations • 13 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.