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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology"
819 条 记 录,以下是481-490 订阅
排序:
A Uniform Representation Model for Oct-Based Fingerprint Presentation Attack Detection and Reconstruction
SSRN
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SSRN 2023年
作者: Zhang, Wentian Liu, Haozhe Liu, Feng Ramachandra, Raghavendra The National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China Gjøvik2818 Norway
The technology of optical coherence tomography (OCT) to fingerprint imaging opens up a new research potential for fingerprint recognition owing to its ability to capture depth information of the skin layers. Developin... 详细信息
来源: 评论
Significant Engagement Community Search on Temporal Networks: Concepts and Algorithms
arXiv
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arXiv 2022年
作者: Zhang, Yifei Lin, Longlong Yuan, Pingpeng Jin, Hai 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 & Technology HuaZhong University of Science and Technology Luoyu Road 1037 Hubei Wuhan430074 China
Community search, retrieving the cohesive subgraph which contains the query vertex, has been widely touched over the past decades. The existing studies on community search mainly focus on static networks. However, rea... 详细信息
来源: 评论
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
arXiv
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arXiv 2024年
作者: Liang, Hanzhe Xie, Guoyang Hou, Chengbin Wang, Bingshu Gao, Can Wang, Jinbao College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen Audencia Financial Technology Institute Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Department of Intelligent Manufacturing CATL Ningde China School of Computing and Artificial Intelligence Fuyao University of Science and Technology Fuzhou China School of Software Northwestern Polytechnical University Xi’an China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen China
3D anomaly detection has recently become a significant focus in computer vision. Several advanced methods have achieved satisfying anomaly detection performance. However, they typically concentrate on the external str... 详细信息
来源: 评论
A Fusion Tuning Method for Named Entity Recognition  12th
A Fusion Tuning Method for Named Entity Recognition
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12th CCF Conference on bigdata, bigdata 2024
作者: Wang, Jitian Chen, Yanping Zou, Anqi Qin, Yongbin Huang, Ruizhang Text Computing and Cognitive Intelligence Engineering Research Center of National Education Ministry Guizhou University Guiyang550025 China State Key Laboratory of Public Big Data Guizhou University Guiyang China College of Computer Science and Technology Guizhou University Guiyang550025 China
In named entity recognition, the main methods for constructing deep neural networks are fine-tuning and prompt tuning. Fine-tuning is a commonly used paradigm to optimize neural networks by using task-specific objecti... 详细信息
来源: 评论
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
arXiv
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arXiv 2022年
作者: Xu, Shaoxian Shao, Zhiyuan Yang, Ci Liao, Xiaofei Jin, Hai The 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 Zhejiang Lab Hangzhou311121 China
The emerging Graph Convolutional Network (GCN) has been widely used in many domains, where it is important to improve the efficiencies of applications by accelerating GCN trainings. Due to the sparsity nature and expl... 详细信息
来源: 评论
Multimodal Dialogue Emotion Recognition Based on Label Optimization and Coarse-Grained Assisted Fine-Grained
Multimodal Dialogue Emotion Recognition Based on Label Optim...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zhibo Zhang Zhenyu Yang Yan Huang Baojie Xu Wenyue Hu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science China
Multimodal dialogue emotion recognition integrates data from multiple modalities to accurately identify emotional states in conversations. However, differences in expression and information density across modalities c... 详细信息
来源: 评论
EG-KGR: A Knowledge Graph Reasoning Model Based on Enhanced Graph Sample and Aggregate Inductive Learning Algorithm
EG-KGR: A Knowledge Graph Reasoning Model Based on Enhanced ...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: Yuejia Wu Jian-Tao Zhou Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Key Laboratory of Social Computing and Data Processing College of Computer Science Inner Mongolia University National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Engineering Research Center of Ecological Big Data Hohhot China
Knowledge Graph is an important research field that involves the storage and management of knowledge, but the incompleteness and sparsity of Knowledge Graphs hinder their application in many fields. Knowledge Graph Re... 详细信息
来源: 评论
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
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ACM Transactions on Recommender systems 2024年 第4期2卷 1-27页
作者: Zhiyong Cheng Jianhua Dong Fan Liu Lei Zhu Xun Yang Meng Wang School of Computer Science and Information Engineering Hefei University of Technology Hefei China Shandong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences) Jinan China School of Computing National University of Singapore Singapore Singapore School of Electronic and Information Engineering Tongji University Shanghai China School of Information Science and Technology University of Science and Technology of China Hefei China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Hefei China and Hefei Comprehensive National Science Center Hefei China
Multi-behavioral recommender systems have emerged as a solution to address data sparsity and cold-start issues by incorporating auxiliary behaviors alongside target behaviors. However, existing models struggle to accu... 详细信息
来源: 评论
EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection
EagerLog: Active Learning Enhanced Retrieval Augmented Gener...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Chiming Duan Tong Jia Yong Yang Guiyang Liu Jinbu Liu Huxing Zhang Qi Zhou Ying Li Gang Huang School of Software and Microelectronics Peking University Beijing China Institute for Artificial Intelligence Peking University Beijing China National Key Laboratory of Data Space Technology and System Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China Alibaba Cloud Computing Company Hangzhou China
Logs record essential information about system operations and serve as a critical source for anomaly detection, which has generated growing research interest. Utilizing large language models (LLMs) within a retrieval-... 详细信息
来源: 评论
A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters
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Scientific Reports 2025年 第1期15卷 1-11页
作者: Shi, Zhuofan Xin, Chunxiao Huo, Tong Jiang, Yuntao Wu, Bowen Chen, Xingyue Qin, Wei Ma, Xinjian Huang, Gang Wang, Zhenyu Jing, Xiang School of Software and Microelectronics Peking University Beijing 102600 China National Key Laboratory of Data Space Technology and System Beijing 100195 China Advanced Institute of Big Data Beijing 100195 China Institute of Information Engineering Chinese Academy of Sciences Beijing 100085 China
In the field of materials science, addressing the complex relationship between the material structure and properties has increasingly involved leveraging the text generation capabilities of AI-generated content (AIGC)... 详细信息
来源: 评论