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检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
920 条 记 录,以下是521-530 订阅
排序:
Runtime Permission Issues in Android Apps: Taxonomy, Practices, and Ways Forward
arXiv
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arXiv 2021年
作者: Wang, Ying Wang, Yibo Wang, Sinan Liu, Yepang Xu, Chang Cheung, Shing-Chi Yu, Hai Zhu, Zhiliang The Software College Northeasthern University China The Department of Computer Science and Engineering Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China The State Key Lab for Novel Software Technology The Department of Computer Science and Technology Nanjing University China The Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Hong Kong
Android introduces a new permission model that allows apps to request permissions at runtime rather than at the installation time since 6.0 (Marshmallow, API level 23). While this runtime permission model provides use... 详细信息
来源: 评论
Attentive relational networks for mapping images to scene graphs
arXiv
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arXiv 2018年
作者: Qi, Mengshi Li, Weijian Yang, Zhengyuan Wang, Yunhong Luo, Jiebo State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China Beijing Advanced Innovation Center for Big Data and Brain Computing Department of Computer Science University of Rochester United States
Scene graph generation refers to the task of automatically mapping an image into a semantic structural graph, which requires correctly labeling each extracted object and their interaction relationships. Despite the re... 详细信息
来源: 评论
Efficient combinatorial optimization for word-level adversarial textual attack
arXiv
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arXiv 2021年
作者: Liu, Shengcai Lu, Ning Chen, Cheng Tang, Ke The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China
Over the past few years, various word-level textual attack approaches have been proposed to reveal the vulnerability of deep neural networks used in natural language processing. Typically, these approaches involve an ... 详细信息
来源: 评论
Few-shots parallel algorithm portfolio construction via co-evolution
arXiv
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arXiv 2020年
作者: Tang, Ke Liu, Shengcai Yang, Peng Yao, Xin The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China
Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A typical way to achieve good generaliz... 详细信息
来源: 评论
DMNER: Biomedical Named Entity Recognition by Detection and Matching
DMNER: Biomedical Named Entity Recognition by Detection and ...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Junyi Bian Rongze Jiang Weiqi Zhai Tianyang Huang Xiaodi Huang Hong Zhou Shanfeng Zhu School of Computer Science Fudan University Shanghai China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Shanghai China School of Computing Mathematics and Engineering Charles Sturt University New South Wales Australia Atypon Systems LLC UK Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science Shanghai Key Lab of Intelligent Information Processing Zhangjiang Fudan International Innovation Center Fudan University Shanghai China
Biomedical Named Entity Recognition (NER) is a crucial task in extracting information from biomedical texts. However, the diversity of professional terminology, semantic complexity, and the widespread presence of syno... 详细信息
来源: 评论
GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction
arXiv
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arXiv 2024年
作者: Shi, Anqi Cai, Yuze Chen, Xiangyu Pu, Jian Fu, Zeyu Lu, Hong Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Shanghai China Department of Computer Science University of Exeter United Kingdom
High-definition (HD) maps are essential for autonomous driving systems. Traditionally, an expensive and labor-intensive pipeline is implemented to construct HD maps, which is limited in scalability. In recent years, c... 详细信息
来源: 评论
A review on the applications of graph neural networks in materials science at the atomic scale
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Materials Genome Engineering Advances 2024年 第2期2卷 1-19页
作者: Xingyue Shi Linming Zhou Yuhui Huang Yongjun Wu Zijian Hong School of Materials Science and Engineering Zhejiang UniversityHangzhouZhejiangChina Nanhu Brain-Computer Interface Institute HangzhouZhejiangChina Research Institute of Zhejiang University-Taizhou TaizhouZhejiangChina State Key Laboratory of Silicon and Advanced Semiconductor Materials Zhejiang UniversityHangzhouZhejiangChina
In recent years,interdisciplinary research has become increasingly popular within the scientific *** fields of materials science and chemistry have also gradually begun to apply the machine learning technology develop... 详细信息
来源: 评论
CEBRA Method: Decoding brain Activity for Advanced brain-computer interface technology  46
CEBRA Method: Decoding Brain Activity for Advanced Brain-Com...
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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Yang, Jingcheng Kulwa, Frank Liu, Xuanwei Lu, Yiqing Fu, Yufa Li, Guanglin Huai, Yaping Zhang, Xin Li, Yongcheng Shenzhen Dapeng New District Nanao People's Hospital Guangdong Shenzhen518000 China Shenzhen Longhua District Central Hospital Department of Rehabilitation Medicine Guangdong Shenzhen518000 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Brain Cognition and Brain-Computer Intelligence Integration Group Kunming650500 China Cas Key Laboratory of Human-Machine Intelligence Synergy Systems Shenzhen518055 China University of Chinese Academy of Sciences Shenzhen College of Advanced Technology Shenzhen518055 China Shandong Zhongke Advanced Technology Co. Ltd. Jinan250014 China
The emerging neurorehabilitation technology, brain-computer interface (BCI), provides a novel prospect for stroke recovery. However, decoding brain activity during the movement present substantial challenges, and feat... 详细信息
来源: 评论
CBRAMOD: A CRISS-CROSS brain FOUNDATION MODEL FOR EEG DECODING
arXiv
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arXiv 2024年
作者: Wang, Jiquan Zhao, Sha Luo, Zhiling Zhou, Yangxuan Jiang, Haiteng Li, Shijian Li, Tao Pan, Gang State Key Laboratory of Brain-machine Intelligence Zhejiang University China College of Computer Science and Technology Zhejiang University China Alibaba Group China Department of Neurobiology Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital Zhejiang University School of Medicine China MOE Frontier Science Center for Brain Science and Brain-machine Integration Zhejiang University China
Electroencephalography (EEG) is a non-invasive technique to measure and record brain electrical activity, widely used in various BCI and healthcare applications. Early EEG decoding methods rely on supervised learning,... 详细信息
来源: 评论
Sparse Point Clouds Assisted Learned Image Compression
arXiv
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arXiv 2024年
作者: Jiang, Yiheng Zhang, Haotian Li, Li Liu, Dong Li, Zhu MOE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition University of Science and Technology of China Hefei230037 China Dept of Computer Science and Electrical Engineering University of Missouri Kansas City United States
In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from other sensors to facilitate image comp... 详细信息
来源: 评论