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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
MULTIMEDIA TOOLS AND APPLICATIONSLin, Cong Ye, Youqiang Feng, Siling Huang, Mengxing 出版年：2022
The detection and removal methods of impulse noise often need to estimate the noise level of the damaged image in advance to obtain a better detection rate. An effective method of random-value impulse noise level estimat...
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...
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP)Tan Guangxing Lin Cong Bai Yuhe Chen Zan 出版年：2015
In consideration of transmission system parameters impact on fuel economy and exhaust emissions of hybrid electric vehicle ( HEV), a multi-objective optimization scheme, immune genetic algorithm, is proposed in this pape...
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...
This paper intends to solve the time-varying Yang-Baxter-like matrix equation (TVYBLME), which is frequently employed in the fields of scientific computing and engineering applications. Due to its critical and promising ...
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSINGMao, Xin Liu, Ying Qiu, Chenghao Lin, Cong 出版年：2025
Synthetic aperture radar (SAR) images are characterized by unique speckle noise, and maintaining image details while effectively reducing this noise has always been a challenging problem. Current deep-learning-based deno...
FRONTIERS IN MARINE SCIENCELiu, Mingxin Zhang, Chun Lin, Cong 出版年：2025
With the growing global population and economic development, the demand for sashimi has increased, presenting both new opportunities and challenges for aquaculture. As a key species for sashimi, Greater Amberjack faces s...
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCEShan, Zhe Ye, Songtao Lin, Cong Xue, Zhong 出版年：2025
Automated pineapple harvesting using robotic and computer systems has been a pressing issue that researchers need to tackle urgently. However, varying light conditions in orchards, complex environments, and leaf shading ...
EXPERT SYSTEMS WITH APPLICATIONSLiang, Liheng Wang, Guancheng Lin, Cong Feng, Zhuowen 出版年：2025
Prompt tuning has achieved remarkable success in facilitating the performance of Pre-trained Language Models (PLMs) across various downstream NLP tasks, particularly in scenarios with limited downstream data. Reframing t...
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