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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology Shenzhen University"
652 条 记 录,以下是201-210 订阅
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Autonomous Emergency Landing on 3D Terrains: Approaches for Monocular Vision-based UAVs
Autonomous Emergency Landing on 3D Terrains: Approaches for ...
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International Conference on Advanced Robotics and Mechatronics (ICARM)
作者: Weiming Du Junmou Lin Binqing Du Uddin Md. Borhan Jianqiang Li Jie Chen College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China
With the increasing use of unmanned aerial vehicles (UAVs) in a variety of applications, their safety has become a critical concern. UAVs face numerous emergencies during missions, in these situations, the UAVs need t...
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
Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning
Defect Screening on Nuclear Power Plant Concrete Structures:...
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International Conference on Advanced Robotics and Mechatronics (ICARM)
作者: Wenlian Huang Guanming Zhu Qiang Huang Zhuangzhuang Chen Jie Chen Jianqiang Li College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China
Intelligent defect detection methods are important for the surface of the containment of nuclear power plants and face many challenges in the field of computer vision. Due to the irregular shapes and large variation o...
来源: 评论
PAIR: protein-aptamer interaction prediction based on language models and contrastive learning framework
PAIR: protein-aptamer interaction prediction based on langua...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Jun Zhang Zhiqiang Yan Hao Zeng Zexuan Zhu National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Aptamers are single-stranded DNA or RNA oligonucleotides that selectively bind to specific targets, making them valuable for drug design and diagnostic applications. Identifying the interactions between aptamers and t... 详细信息
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GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network
GHVC-Net: Hypervolume Contribution Approximation Based on Gr...
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IEEE International Conference on systems, Man and Cybernetics
作者: Guotong Wu Yang Nan Ke Shang Hisao Ishibuchi Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China
This paper proposes a framework called GHVC-Net that uses the graph neural network (GNN) model to approximate each solution's hypervolume contribution (HVC). GHVC-Net is permutation invariant and can handle soluti... 详细信息
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An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling  38
An Autoencoder-Like Nonnegative Matrix Co-Factorization for ...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Yu, Shenbao Pan, Yinghui Zeng, Yifeng Doshi, Prashant Liu, Guoquan Poh, Kim-Leng Lin, Mingwei College of Computer and Cyber Security Fujian Normal University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Department of Computer and Information Sciences Northumbria University United Kingdom Intelligent Thought and Action Lab School of Computing University of Georgia United States Financial Technology Research Institute Fudan University China College of Design and Engineering National University of Singapore Singapore
Student cognitive modeling (SCM) is a fundamental task in intelligent education, with applications ranging from personalized learning to educational resource allocation. By exploiting students' response logs, SCM ...
来源: 评论
Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization
Multi-Stage Transfer Learning Evolutionary Algorithm for Dyn...
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Congress on Evolutionary Computation
作者: Qianhui Wang Qingling Zhu Junkai Ji College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen PR China
Recently, the application of transfer learning within dynamic multiobjective evolutionary algorithms (DMOEAs) has shown significant potential to solve dynamic multiobjective optimization problems (DMOPs). This approac... 详细信息
来源: 评论
N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance  16th
N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Impro...
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16th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2019
作者: Gu, Lin Tang, Qizhi Wu, Song Jin, Hai Zhang, Yingxi Shi, Guoqiang Lin, Tingyu Rao, Jia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing100854 China The University of Texas at Arlington ArlingtonTX76019 United States
Docker has been widely adopted in production environment, but unfortunately deployment and cold-start of container are limited by the low speed of disk. The emerging non-volatile memory (NVM) technology, which has hig... 详细信息
来源: 评论
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization  13
A Cooperative Co-Evolution Algorithm with Variable-Importanc...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Li, Yongfeng Zhang, Yuze Ma, Lijia Ji, Junkai Liu, Dugang Leung, Victor C. M. Li, Jianqiang Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Guangdong Laboratory of Artificial Intelligence and Digital Economy Shenzhen518123 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen518172 China The University of British Columbia Department of Electrical and Computer Engineering VancouverV6T 1Z4 Canada
Cooperative co-evolution (CC) is a promising direction in solving large-scale multiobjective optimization problems (LMOPs). However, most existing methods of grouping decision variables face some difficulties when sea... 详细信息
来源: 评论
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint
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IEEE Transactions on Evolutionary Computation 2024年 1-1页
作者: Shang, Ke Wu, Guotong Pang, Lie Meng Ishibuchi, Hisao National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Department of Computer Science and Engineering Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China
Subset selection, a fundamental problem in various domains, is to choose a subset of elements from a large candidate set under a given objective or multiple objectives. Pareto optimization for subset selection (POSS) ... 详细信息
来源: 评论