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- A despeckling method for ultrasound images utilizing content-aware prior and attention-driven techniques
- 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...
- A dual-path feature reuse multi-scale network for remote sensing image super-resolution
- Journal of SupercomputingXiao, Huanling Chen, Xintong Luo, Liuhui Lin, Cong 出版年：2025
- 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...
- From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning
- arXivFeng, Siling Qi, Zhisheng Lin, Cong 出版年：2024
- 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...
- A Gradient-Projected Model for Image Denoising
- SensorsWen, Yuming Liu, Yu Liang, Zhaozhi Xu, Guangjun Lin, Cong Wang, Guancheng 出版年：2026
- 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-...
- Adaptive Noise Detector and Partition Filter for Removing Impulse Noise from Grayscale Images
- SSRNLin, Cong Qiu, Chenghao Xiao, Xiuchun Feng, Siling Feng, Mengxing 出版年：2022
- 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...
- DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image
- 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...
- A Deep Neural Network Based on Prior-Driven and Structural Preserving for SAR Image Despeckling
- 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...
- YOLO-Fish Class: A Taxonomic Model for Underwater Economic Fish with Excellent Performance
- 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...
- A dual-path feature reuse multi-scale network for remote sensing image super-resolution
- JOURNAL OF SUPERCOMPUTINGXiao, Huanling Chen, Xintong Luo, Liuhui Lin, Cong 出版年：2025
- 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...
- Robust neural dynamics with adaptive coefficient applied to solve the dynamic matrix square root
- COMPLEX & INTELLIGENT SYSTEMSJiang, Chengze Wu, Chaomin Xiao, Xiuchun Lin, Cong 出版年：2023
- 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...
- RNN With High Precision and Noise Immunity: A Robust and Learning-Free Method for Beamforming
- 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...
- Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet
- MEDICAL PHYSICSLi, Yuchun Lin, Cong Zhang, Yu Feng, Siling Huang, Mengxing Bai, Zhiming 出版年：2023
- 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...
- DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism
- FRONTIERS IN PLANT SCIENCELin, Cong Jiang, Wencheng Zhao, Weiye Zou, Lilan Xue, Zhong 出版年：2025
- 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...
- CXR-RefineDet: Single-Shot Refinement Neural Network for Chest X-Ray Radiograph Based on Multiple Lesions Detection
- JOURNAL OF HEALTHCARE ENGINEERINGLin, Cong Zheng, Yongbin Xiao, Xiuchun Lin, Jialun 出版年：2022
- 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 Algorithm for the Detection and Removal of Random-Valued Impulse Noise Based on Local Similarity
- IEEE ACCESSLin, Cong Li, Yuchun Feng, Siling Huang, Mengxing 出版年：2020
- 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 ...
- Lesion detection of chest X-Ray based on scalable attention residual CNN
- MATHEMATICAL BIOSCIENCES AND ENGINEERINGLin, Cong Huang, Yiquan Wang, Wenling Feng, Siling Huang, Mengxing 出版年：2023
- 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...
- A deep network embedded with rough fuzzy discretization for OCT fundus image segmentation
- SCIENTIFIC REPORTSChen, Qiong Zeng, Lirong Lin, Cong 出版年：2023
- 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...
- 基于荷电状态的锂离子电池主动均衡控制系统的研究与实现
- 《电气技术》于跃 林聪 张恒 出版年：2019
- 为了解决动力电池组能量不均衡的问题,本文设计了锂离子电池主动均衡控制系统。系统由主控芯片TMS320F28335、检测电路、DC/DC电路、均衡电路、驱动电路等组成。系统利用无迹卡尔曼滤波算法实时估算锂离子电池组的荷电状...
- 关键词：锂离子电池组 无迹卡尔曼滤波 模糊-PI控制 主动均衡 被引量：8
- LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach
- FRONTIERS IN MARINE SCIENCELiu, Mingxin Wu, Yujie Li, Ruixin Lin, Cong 出版年：2025
- 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...
- A Shadow Capture Deep Neural Network for Underwater Forward-Looking Sonar Image 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...
- Sonar Image Target Detection for Underwater Communication System Based on Deep Neural Network
- 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...
- Discrete zeroing neural dynamic with noise tolerance for image deblurring
- 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...
- 基于FPGA的无刷直流电机控制器设计
- 《现代电子技术》林聪 徐今强 出版年：2017
- 针对现有直流无刷电机控制器设计方案的不足,提出一种基于FPGA平台的无刷直流电机控制器设计方案,采用FPGA设计电机转速、电流双闭环控制系统,系统硬件包括以FPGA为核心的控制电路和以电机为对象的驱动电路,系统软件采用V...
- 关键词：FPGA 无刷直流电机 双闭环控制系统 VGA 被引量：6
- acGND: towards lower complexity and fast solution for dynamic tensor inversion
- COMPLEX & INTELLIGENT SYSTEMSYe, Aiping Xiao, Xiuchun Xiao, Hua Jiang, Chengze Lin, Cong 出版年：2024
- 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...
- 半导体物理与器件课程教学改革与实践
- 《科技资讯》邹利兰 林聪 出版年：2021
- 《半导体物理与器件》是电子科学与技术的专业基础课,该文主要分析了《半导体物理与器件》课程常用考核方式中所存在的一些问题,针对该门课程的特点,结合自身的教学经验,提出建立研究性教学模式,改革传统的考核体制,为学生学习打下坚...
- 关键词：半导体器件 混合式教学 教学改革 电子科学 被引量：5
- A despeckling method for ultrasound images utilizing content-aware prior and attention-driven
- 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...
- 虚拟仪器技术在嵌入式系统课程教学考核中的应用
- 《科技资讯》林聪 邹利兰 出版年：2020
- 该文主要分析了嵌入式课程常用考核方式中所存在的一些问题,针对嵌入式课程的特点,结合自身的教学经验,提出将虚拟仪器技术引入嵌入式课程学习和考核中,引导学生基于labview软件编写上位机并用于嵌入式课程设计中,促进学生对自...
- 关键词：虚拟仪器 嵌入式 labview 课程考核 被引量：4
- 面向应用型人才培养的电力电子技术课程多元化评价模式探索
- 《教育信息化论坛》于跃 林聪 杨燕霞 罗朋 出版年：2023
- 培养学以致用、以用为本的应用型人才是新工科时代大学人才培养的重要目标。电力电子技术课程是自动化、电气工程及其自动化等专业的跨学科基础课程,为学生毕业后从事本专业范围内的电力、嵌入式系统应用等相关工作奠定基础。在混合式教学...
- 关键词：电力电子技术 应用型人才 多元化评价模式 工科实践性课程 被引量：4
- 虚拟仪器技术在大学物理实验教学中的应用
- 《教育现代化（电子版）》邹利兰 林聪 熊正烨 出版年：2017
- 大学物理实验是全国各大高等院校开设的公共课,传统的仪器设备已无法满足实验的要求。本文在分析实验课程存在的问题的基础上,阐述了虚拟仪器的概念、组成和特点,探讨了在实验教学中引入虚拟仪器技术的可行性,并以声波信号采集的实验为...
- 关键词：物理实验 虚拟仪器 信号采集 被引量：4
- Advancing regional heat load forecasting through sophisticated data-driven methodologies integrated with robust adversarial training strategies
- 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...
