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检索条件"机构=Key Laboratory of Data and Intelligent System Security"
1022 条 记 录,以下是401-410 订阅
排序:
Backdoor Attacks on Bimodal Salient Object Detection with RGB-Thermal data  24
Backdoor Attacks on Bimodal Salient Object Detection with RG...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Yin, Wen Zhu, Bin Benjamin Xie, Yulai Zhou, Pan Feng, Dan School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Microsoft Corporation Beijing China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China
RGB-Thermal Salient Object Detection (RGBT-SOD) plays a critical role in complex scene recognition applications, such as autonomous driving. However, security research in this domain is still in its infancy. This pape... 详细信息
来源: 评论
Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm
Hyperspectral Image Destriping and Denoising with Spectral L...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Pengfei Liu Lanlan Liu School of Computer Science Nanjing University of Posts and Telecommunications China Jiangsu Key Laboratory of Big Data Security & Intelligent Processing China
In this paper, we propose a new method for simultaneous hyperspectral image (HSI) destriping and denoising with spectral low-rank and tensor nuclear norm under the tensor framework. Specifically, the tensor nuclear no...
来源: 评论
Cascade Detector Based on Multi-scale Features for Small Objects in Various Backgrounds of Remote Sensing  2nd
Cascade Detector Based on Multi-scale Features for Small Obj...
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2nd International Conference on Image, Vision and intelligent systems, ICIVIS 2022
作者: Li, Yan Han, Shi-Yuan Xu, Tao Yang, Xiao-hui Lu, Qiu Shen, Yuan University of Jinan Jinan250022 China China High-Resolution Earth Observation System Shandong Center of Data and Application University of Jinan Jinan250022 China Shandong Provincial Key Laboratory of Network-Based Intelligent Computing University of Jinan Jinan250022 China
Different from natural images, remote sensing images in complex backgrounds have the challenges of small object feature extraction with small size, few available features, and high localization accuracy requirements. ... 详细信息
来源: 评论
BSL: Understanding and Improving Softmax Loss for Recommendation
BSL: Understanding and Improving Softmax Loss for Recommenda...
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International Conference on data Engineering
作者: Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition University of Science and Technology of China Hefei China The State Key Laboratory of Blockchain and Data Security Zhejiang Unversity
Loss functions steer the optimization direction of recommendation models and are critical to model performance, but have received relatively little attention in recent recommendation research. Among various losses, we... 详细信息
来源: 评论
Evaluating Consideration Level of Responses For Mental Health Chatbots
SSRN
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SSRN 2023年
作者: Xu, Bei Zhuang, Ziyuan Wang, Yue Jiangsu Key Laboratory of Big Data Security and Intelligent Processing China School of Computer Science Nanjing University of Posts and Telecommunications China
Mental health chatbots are widely used and proven useful in the conversation of psychological treatments. The users of mental health chatbots require "considerate" responses because they are relatively sensi... 详细信息
来源: 评论
A Causal Disentangled Multi-Granularity Graph Classification Method
arXiv
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arXiv 2023年
作者: Li, Yuan Liu, Li Chen, Penggang Zhang, Youmin Wang, Guoyin Chongqing Key Laboratory of Computational Intelligence China Key Laboratory of Cyberspace Big Data Intelligent Security Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China
Graph data widely exists in real life, with large amounts of data and complex structures. It is necessary to map graph data to low-dimensional embedding. Graph classification, a critical graph task, mainly relies on i... 详细信息
来源: 评论
Exploring tourism networks in the Guangxi mountainous area using mobility data from user generated content
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Journal of Mountain Science 2022年 第2期19卷 322-337页
作者: LIU Yan-hua CHENG Jian-quan LYU Yu-lan School of Natural Resources and Surveying Nanning Normal UniversityNanning 530001China Department of Natural Sciences Manchester Metropolitan UniversityManchester Mi 5GDUK Joint Research Center for Urban Health and Security Intelligent Data Analytics Nanning Normal UniversityNanning 530001China School of Finance Shandong University of Finance and EconomicsJinan 250014China Shandong Key Laboratory of Blockchain Finance Jinan 250014China
Tourism-led economic growth and tourism-driven urbanization have attracted increasing attention by provinces and regions in China with abundant tourism *** to low data availability,the current tourism literature lacks... 详细信息
来源: 评论
A multiobjective flexible job shop scheduling method based on deep reinforcement learning  9
A multiobjective flexible job shop scheduling method based o...
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9th International Symposium on Sensors, Mechatronics, and Automation system, ISSMAS 2023
作者: Liu, Weiqi Chen, Hao Zhang, Jianming Wang, Yaozong College of Computer and Cyber Security Fujian Normal University Fujian Fuzhou China Quanzhou Institute of Equipment Manufacturing Haixi Institutes Chinese Academy of Science Fujian Quanzhou China Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Fujian Quanzhou China
To address the multiobjective flexible job shop scheduling problem, this paper establishes a Markov Decision Process for Multiobjective Flexible Job-Shop Scheduling Problem, aiming to minimize makespan and total machi... 详细信息
来源: 评论
A Blackbox Fuzzing Based on Automated State Machine Extraction
A Blackbox Fuzzing Based on Automated State Machine Extracti...
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IEEE International Conference on data Science in Cyberspace (DSC)
作者: Zhaowei Zhang Wenjing Yu Zibin Wang Youlin Xiang National Key Laboratory of Science and Technology on Information System Security Beijing China Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai China
Currently, protocol fuzzing techniques mainly employ two approaches: greybox fuzzing based on mutation and blackbox fuzzing based on generation. Greybox fuzzing techniques use message exchanges between the protocol se...
来源: 评论
DarkSAM: Fooling Segment Anything Model to Segment Nothing  38
DarkSAM: Fooling Segment Anything Model to Segment Nothing
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zhou, Ziqi Song, Yufei Li, Minghui Hu, Shengshan Wang, Xianlong Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
Segment Anything Model (SAM) has recently gained much attention for its outstanding generalization to unseen data and tasks. Despite its promising prospect, the vulnerabilities of SAM, especially to universal adversar...
来源: 评论