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检索条件"机构=Key Laboratory of Big Data and Intelligent Robot School of Software Engineering"
613 条 记 录,以下是11-20 订阅
排序:
HyperDiff: Masked Diffusion Model with High-efficient Transformer for Hyperspectral Image Cross-Scene Classification
HyperDiff: Masked Diffusion Model with High-efficient Transf...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhang, Pei Wang, Dong Wu, Chanyue Yang, Jing Kang, Lei Bai, Zongwen Li, Ying Shen, Qiang School of Computer Science Northwestern Polytechnical University Xi'an China Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data Yan'an University Yan'an China School of Automation and Software Engineering Shanxi University Taiyuan China Qingdao Topscomm Communication Co. Ltd. Qingdao China Department of Computer Science Aberystwyth University Aberystwyth United Kingdom
Hyperspectral Image (HSI) cross-scene classification is a challenging task in remote sensing, particularly when real-time processing of Target Domain (TD) HSI is required, and data cannot be reused for training. While... 详细信息
来源: 评论
SRv6-INT Enabled Network Monitoring and Measurement: Toward High-Yield Network Observability for Digital Twin  3rd
SRv6-INT Enabled Network Monitoring and Measurement: Toward...
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3rd International Conference on Machine Learning, Cloud Computing and intelligent Mining, MLCCIM 2024
作者: Zhang, Xu Feng, Chuan Han, Pengchao Liu, Wei Gong, Xiaoxue Zhang, Qiupei Guo, Lei School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China
Network monitoring and measurement is an important part of realizing the network digital twin. However, it introduces the problem of high cost when obtaining the status data of physical networks. Therefore, to efficie... 详细信息
来源: 评论
Collision-Aware MPCC Integrated with Neural Augmentation for Quadrotor Trajectory Tracking
Collision-Aware MPCC Integrated with Neural Augmentation for...
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2025 IEEE International Conference on Mechatronics, ICM 2025
作者: Hu, Chuanqi Wang, Jin Chen, Yikai Chen, Yonghang Zheng, Zhi Meng, Jun Lu, Guodong Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310058 China Zhejiang University Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China National Elite Institute of Engineering Chongqing University Chongqing401135 China School of Mechanical Engineering Zhejiang University Hangzhou310058 China College of Electrical Engineering Zhejiang University Hangzhou310027 China Center for Data Mining and Systems Biology College of Electrical Engineering Zhejiang University Hangzhou310027 China
This paper presents a trajectory tracking algorithm designed for autonomous quadrotors to navigate complex dy-namic environments that is resilient to collision disturbances. Since it combines Model Predictive Contouri... 详细信息
来源: 评论
multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information
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Computers in Biology and Medicine 2025年 191卷 110148-110148页
作者: Zhu, Hongjun Huang, Jiaohang Chen, Kuo Ying, Xuehui Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, and monitoring the progression of brain tumors. However, due to the variability in tumor appearance, size, and intensit... 详细信息
来源: 评论
Differential-Trust-Mechanism Based Trade-off Method Between Privacy and Accuracy in Recommender Systems
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IEEE Transactions on Information Forensics and Security 2025年 20卷 5054-5068页
作者: Xu, Guangquan Feng, Shicheng Xi, Hao Yan, Qingyang Li, Wenshan Wang, Cong Wang, Wei Liu, Shaoying Tian, Zhihong Zheng, Xi Qingdao Huanghai University School of Big Data Qingdao China Tianjin University College of Intelligence and Computing Tianjin300350 China KLISS and School of Software Beijing100084 China Sichuan University School of Cyber Science and Engineering Chengdu610207 China Xi’an Jiaotong University School of Cyber Science and Engineering Xi’an710049 China East China Normal University Shanghai200062 China Hiroshima University School of Informatics and Data Science Higashihiroshima739-8511 Japan Guangzhou University Cyberspace Institute of Advanced Technology Guangdong Key Laboratory of Industrial Control System Security Huangpu Research School of Guangzhou University China Macquarie University School of Computing SydneyNSW2109 Australia
In the era where Web3.0 values data security and privacy, adopting groundbreaking methods to enhance privacy in recommender systems is crucial. Recommender systems need to balance privacy and accuracy, while also havi... 详细信息
来源: 评论
DBSSL: A Scheme to Detect Backdoor Attacks in Self-Supervised Learning Models
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Huang, Yuxian Yang, Geng Yuan, Dong Yu, Shui Nanjing University of Posts and Telecommunication College of Computer Science and Software China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing China University of Sydney School of Electrical and Information Engineering Australia University of Technology Sydney School of Computer Science Australia
Recently, self-supervised learning has garnered significant attention for its ability to extract high-quality features from unlabeled data. However, existing research indicates that backdoor attacks can pose significa... 详细信息
来源: 评论
An Encoder-Decoder Model Based On Spiking Neural Networks For Address Event Representation Object Recognition
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IEEE Transactions on Cognitive and Developmental Systems 2025年
作者: Du, Sichun Zhu, Haodi Zhang, Yang Hong, Qinghui Hunan University College of Computer Science and Electronic Engineering Changsha418002 China Shenzhen University Computer Vision Institute School of Computer Science and Software Engineering National Engineering Laboratory for Big Data System Computing Technology Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the spiking neural network (SNN)... 详细信息
来源: 评论
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
arXiv
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arXiv 2025年
作者: Wang, Feng Qiu, Hong Huang, Yingying Gu, Xiaozhe Wang, Renfang Yang, Bo College of Big Data and Software Engineering Zhejiang Wanli University Ningbo315200 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310027 China
Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their prom... 详细信息
来源: 评论
Harnessing Monotonic Neural Networks for Performance Prediction and Threshold Determination in Multichannel Detection
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IEEE Transactions on Signal Processing 2025年
作者: Zhou, Rui Pu, Wenqiang You, Ming-Yi Shi, Qingjiang The Chinese University of Hong Kong-Shenzhen Shenzhen Research Institute of Big Data Guangdong China National Key Laboratory of Electromagnetic Space Security Jiaxing China Tongji University School of Software Engineering Shanghai China Shenzhen Research Institute of Big Data Shenzhen China
Despite extensive research on numerous multichannel detection methods, predicting their performance remains difficult due to the high dimensionality of raw data and the complexity of the detection process. To tackle t... 详细信息
来源: 评论
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论