Computers in Biology and MedicineQiu, Chenghao Huang, Zifan Lin, Cong Zhang, Guodao Ying, Shenpeng 出版年：2023
The despeckling of ultrasound images contributes to the enhancement of image quality and facilitates precise treatment of conditions such as tumor cancers. However, the use of existing methods for eliminating speckle noi...
Deep neural networks have achieved significant success in the super-resolution of remote sensing images. However, existing deep learning models still suffer from the issue of blurry pseudo-artifacts when restoring high-f...
Temporal knowledge graphs (TKGs) have gained significant attention for their ability to extend traditional knowledge graphs with a temporal dimension, enabling dynamic representation of events over time. TKG reasoning in...
Digital images are prone to various forms of noise during acquisition, which can distort structural information and hinder subsequent processing. This work proposes AuroraNet, a denoising framework that extends the dual-...
The random-value impulse noise (RVIN) denoising method based on the preset detection threshold or local window information does not have good generalization performance and edge-preserving denoising effect. In this paper...
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSINGLin, Cong Mao, Xin Qiu, Chenghao Zou, Lilan 出版年：2024
Super-resolution reconstruction technology is a crucial approach to enhance the quality of remote sensing optical images. Currently, the mainstream reconstruction methods leverage convolutional neural networks (CNNs). Ho...
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSINGLin, Cong Qiu, Chenghao Jiang, Haoyu Zou, Lilan 出版年：2023
Remarkable effectiveness has been demonstrated by deep neural networks in the despeckling task for synthetic aperture radar (SAR) images. However, blurring and loss of fine details can result from many despeckling models...
Proceedings of the International Conference on Computer Supported Cooperative Work in Design, CSCWDLiu, Mingxin Zhao, Zexin Li, Ruixin Lin, Cong 出版年：2025
In this study, we propose a novel algorithm architecture, YOLO Fish Class (YOLO-FC), for the multi-category classification of economic fish in the underwater environment. Based on the YOLOv8 object detection framework, t...
Deep neural networks have achieved significant success in the super-resolution of remote sensing images. However, existing deep learning models still suffer from the issue of blurry pseudo-artifacts when restoring high-f...
Zeroing neural networks (ZNN) have shown their state-of-the-art performance on dynamic problems. However, ZNNs are vulnerable to perturbations, which causes reliability concerns in these models owing to the potentially s...
IEEE INTERNET OF THINGS JOURNALLin, Cong Jiang, Zhihui Cong, Jingyu Zou, Lilan 出版年：2025
Recurrent neural networks (RNNs), recognized for their high accuracy and strong robustness. However, the adoption of RNN-based solutions for array signal beamforming is still in its infancy, as RNNs are very sensitive to...
PurposeAutomatic segmentation of prostate magnetic resonance (MR) images is crucial for the diagnosis, evaluation, and prognosis of prostate diseases (including prostate cancer). In recent years, the mainstream segmentat...
With the development of deep learning technology and the widespread application of drones in the agricultural sector, the use of computer vision technology for target detection of pineapples has gradually been recognized...
The workload of radiologists has dramatically increased in the context of the COVID-19 pandemic, causing misdiagnosis and missed diagnosis of diseases. The use of artificial intelligence technology can assist doctors in ...
A two-stage denoising algorithm based on local similarity is proposed to process lowly and moderate corrupted images with random-valued impulse noise in this paper. In the noise detection stage, the pixel to be detected ...
Most of the research on disease recognition in chest X-rays is limited to segmentation and classification, but the problem of inaccurate recognition in edges and small parts makes doctors spend more time making judgments...
The noise and redundant information are the main reasons for the performance bottleneck of medical image segmentation algorithms based on the deep learning. To this end, we propose a deep network embedded with rough fuzz...
Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to achieve accurate detection...
MOBILE INFORMATION SYSTEMSXiao, Taowen Cai, Zijian Lin, Cong Chen, Qiong 出版年：2021
Image sonar is a widely used wireless communication technology for detecting underwater objects, but the detection process often leads to increased difficulty in object identification due to the lack of equipment resolut...
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCESZou, Lilan Liang, Bo Cheng, Xu Li, Shufa Lin, Cong 出版年：2023
Target signal acquisition and detection based on sonar images is a challenging task due to the complex underwater environment. In order to solve the problem that some semantic information in sonar images is lost and mode...
EXPERT SYSTEMS WITH APPLICATIONSLin, Cong Zhuang, Fenghao Li, Jiahao Jiang, Chengze Wu, Yuanyuan 出版年：2026
As the demand for high-quality images continues to grow, image deblurring has become a fundamental challenge in computer vision. Although numerous effective deblurring methods have been proposed, one critical area remain...
Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer significant lagging...
COMPUTERS IN BIOLOGY AND MEDICINEQiu, Chenghao Huang, Zifan Lin, Cong Zhang, Guodao Ying, Shenpeng 出版年：2023
The despeckling of ultrasound images contributes to the enhancement of image quality and facilitates precise treatment of conditions such as tumor cancers. However, the use of existing methods for eliminating speckle noi...
JOURNAL OF BUILDING ENGINEERINGZhu, Haoran Cheng, Xu Liu, Xiufeng Lin, Cong 出版年：2025
Facing the severe challenges of global climate change and the continuous growth of building energy consumption, improving the accuracy and robustness of the prediction of district heating systems has become critical to a...
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