咨询与建议

限定检索结果

文献类型

  • 39 篇 期刊文献
  • 15 篇 会议

馆藏范围

  • 54 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 40 篇 工学
    • 30 篇 计算机科学与技术...
    • 27 篇 软件工程
    • 6 篇 生物工程
    • 4 篇 化学工程与技术
    • 3 篇 光学工程
    • 3 篇 信息与通信工程
    • 2 篇 机械工程
    • 2 篇 电气工程
    • 2 篇 生物医学工程(可授...
    • 1 篇 材料科学与工程(可...
    • 1 篇 控制科学与工程
    • 1 篇 建筑学
    • 1 篇 水利工程
    • 1 篇 测绘科学与技术
    • 1 篇 交通运输工程
    • 1 篇 环境科学与工程(可...
    • 1 篇 城乡规划学
    • 1 篇 安全科学与工程
  • 27 篇 理学
    • 10 篇 数学
    • 8 篇 生物学
    • 5 篇 化学
    • 4 篇 物理学
    • 4 篇 统计学(可授理学、...
    • 1 篇 地理学
    • 1 篇 大气科学
    • 1 篇 地球物理学
  • 12 篇 管理学
    • 7 篇 管理科学与工程(可...
    • 7 篇 图书情报与档案管...
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 农学
  • 1 篇 医学

主题

  • 4 篇 semantics
  • 3 篇 graph neural net...
  • 3 篇 forecasting
  • 2 篇 object detection
  • 2 篇 deep learning
  • 2 篇 annotations
  • 2 篇 benchmarking
  • 2 篇 extraction
  • 2 篇 pathology
  • 1 篇 internet of thin...
  • 1 篇 covid-19
  • 1 篇 learning systems
  • 1 篇 nonconvex square...
  • 1 篇 computer aided d...
  • 1 篇 cancer
  • 1 篇 textbooks
  • 1 篇 distillation
  • 1 篇 visual analytics
  • 1 篇 screening design
  • 1 篇 cyberattack

机构

  • 6 篇 lenovo research
  • 5 篇 school of comput...
  • 4 篇 leeds institute ...
  • 4 篇 center for psych...
  • 4 篇 department of in...
  • 4 篇 institute for pa...
  • 4 篇 department of st...
  • 4 篇 university of pi...
  • 4 篇 arnie charbonnea...
  • 4 篇 ilsbio llc bioba...
  • 4 篇 department of mo...
  • 4 篇 department of bi...
  • 4 篇 faculty of biosc...
  • 4 篇 osaka internatio...
  • 4 篇 tri-institutiona...
  • 4 篇 research departm...
  • 4 篇 department of ve...
  • 4 篇 royal stoke univ...
  • 4 篇 biomedical engin...
  • 4 篇 department of ex...

作者

  • 12 篇 liu jun
  • 8 篇 zhang lingling
  • 6 篇 zhao tianzhe
  • 5 篇 lin qika
  • 5 篇 pan yudai
  • 4 篇 yang shusen
  • 4 篇 wang qianying
  • 4 篇 zheng qinghua
  • 4 篇 tian feng
  • 4 篇 xu fangzhi
  • 3 篇 xu zongben
  • 3 篇 li xunkai
  • 3 篇 li chen
  • 3 篇 chen li
  • 3 篇 chen ping
  • 3 篇 su daohan
  • 3 篇 wang guoren
  • 3 篇 wu zhengyu
  • 3 篇 wu yaqiang
  • 3 篇 shusen yang

语言

  • 50 篇 英文
  • 4 篇 其他
检索条件"机构=National Engineering Laboratory for Big Data Algorithms and Analytics Technology"
54 条 记 录,以下是11-20 订阅
排序:
EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT
收藏 引用
IEEE Internet of Things Journal 2022年 第20期9卷 20382-20392页
作者: Siyan Guo Cong Zhao Guiqin Wang Jiaqing Yang Shusen Yang National Engineering Laboratory for Big Data Analytics and the School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China Department of Computing Imperial College London London U.K. National Engineering Laboratory for Big Data Analytics and the School of Computer Science and Technology Xi’an Jiaotong University Xi’an China School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China National Engineering Laboratory for Big Data Analytics and Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an China Industrial Artificial Intelligence Center Pazhou Laboratory Guangzhou China
Video object detection is a fundamental technology of intelligent video analytics for Internet of Things (IoT) applications. However, even with extraordinary detection accuracy, predominating solutions based on deep c... 详细信息
来源: 评论
Serendipity of Sharing: Large-Scale Measurement and analytics for Device-to-Device (D2D) Content Sharing in Mobile Social Networks
Serendipity of Sharing: Large-Scale Measurement and Analytic...
收藏 引用
IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)
作者: Xiaofei Wang Hui Wang Keqiu Li Shusen Yang Tianpeng Jiang Tianjin Key Laboratory of Advanced Networking Tianjin University Tianjin China National Engineering Laboratory for Big Data Algorithms and Analytics Technology Xi'an Jiaotong University Xi'an China Beijing Anqi Zhilian Technology Co. Ltd. Beijing China
The heavy multimedia traffic produced by mobile users poses great challenges for the mobile network operators, especially in the areas with large user densities but limited cellular network capacities (e.g. India). Re... 详细信息
来源: 评论
An automated workflow for integrating environmental sustainability assessment into parametric part design through standard reference models
收藏 引用
Procedia CIRP 2020年 90卷 102-108页
作者: William Z. Bernstein Melissa Tensa Maxwell Praniewicz Soonjo Kwon Devarajan Ramanujan Engineering Laboratory National Institute of Standards and Technology MD USA School of Mechanical Industrial and Manufacturing Engineering Oregon State University OR USA George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GR USA Associate Engineering Laboratory National Institute of Standards and Technology MD USA Korea Advanced Institute of Science and Technology Daejeon Republic of Korea Mechanical Engineering Section & Center for Digitalization Big Data and Data Analytics Aarhus University Aarhus 8000 Denmark
Integrating environmental sustainability assessment into parametric design presents an opportunity for enabling sustainable product design. However, this is a challenging task as quantitative methods for sustainabilit... 详细信息
来源: 评论
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
arXiv
收藏 引用
arXiv 2023年
作者: Xu, Fangzhi Lin, Qika Han, Jiawei Zhao, Tianzhe Liu, Jun Cambria, Erik The School of Computer Science and Technology Xi’an Jiao-tong University Shaanxi Xi’an710049 China The Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering National Engineering Lab for Big Data Analytics Shaanxi Xi’an710049 China The School of Computer Science and Engineering Nanyang Technological University Singapore
Logical reasoning consistently plays a fundamental and significant role in the domains of knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) have emerged as a noteworthy innovati... 详细信息
来源: 评论
Training networks in null space of feature covariance for continual learning
arXiv
收藏 引用
arXiv 2021年
作者: Wang, Shipeng Li, Xiaorong Sun, Jian Xu, Zongben School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China National Engineering Laboratory of Big Data Algorithms and Analysis Technology Xi’an710049 China Pazhou Lab Guangzhou Guangdong510335 China
In the setting of continual learning, a network is trained on a sequence of tasks, and suffers from catastrophic forgetting. To balance plasticity and stability of network in continual learning, in this paper, we prop... 详细信息
来源: 评论
Generative Model-based Feature Knowledge Distillation for Action Recognition
arXiv
收藏 引用
arXiv 2023年
作者: Wang, Guiqin Zhao, Peng Shi, Yanjiang Zhao, Cong Yang, Shusen School of Computer Science and Technology Xi’an Jiaotong University China School of Mathematics and Statistics Xi’an Jiaotong University China National Engineering Laboratory for Big Data Analytics Xi’an Jiaotong University China
Knowledge distillation (KD), a technique widely employed in computer vision, has emerged as a de facto standard for improving the performance of small neural networks. However, prevailing KD-based approaches in video ... 详细信息
来源: 评论
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
arXiv
收藏 引用
arXiv 2024年
作者: An, Wenbin Tian, Feng Leng, Sicong Nie, Jiahao Lin, Haonan Wang, Qianying Chen, Ping Zhang, Xiaoqin Lu, Shijian Xi’an Jiaotong University China National Engineering Laboratory for Big Data Analytics China Nanyang Technological University Singapore Lenovo Research University of Massachusetts Boston United States Zhejiang University of Technology China
Despite great success across various multimodal tasks, Large Vision-Language Models (LVLMs) often encounter object hallucinations with generated textual responses being inconsistent with the actual objects in images. ... 详细信息
来源: 评论
GPTR: Gestalt-Perception Transformer for Diagram Object Detection
arXiv
收藏 引用
arXiv 2022年
作者: Hu, Xin Zhang, Lingling Liu, Jun Fan, Jinfu You, Yang Wu, Yaqiang Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering School of Computer Science and Technology Xi’an Jiaotong University China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University China Department of Control Science and Engineering Tongji University Shanghai China Department of Computer Science National University of Singapore Singapore Lenovo Research Beijing China
Diagram object detection is the key basis of practical applications such as textbook question answering. Because the diagram mainly consists of simple lines and color blocks, its visual features are sparser than those... 详细信息
来源: 评论
Joint Energy and Frequency Regulation Market Clearing Considering Wind Power Uncertainty
Joint Energy and Frequency Regulation Market Clearing Consid...
收藏 引用
IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
作者: Yemin Wu Jiyao Wang Chenyu Peng Chunyu Chen Xuemei Dai Jianxiao Wang School of Electrical Engineering China University of Mining and Technology Xuzhou China School of Electrical Engineering Shanghai Electric Power University Shanghai China National Engineering Laboratory of Big Data Analytics and Applied Technologies Peking University Beijing China
Efficient integration of renewable power such as wind energy in electricity markets is among the highest priorities. However, the deterministic market designs may not effectively adapt to the uncertainty of renewable ...
来源: 评论
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery
arXiv
收藏 引用
arXiv 2024年
作者: Wang, Jiaxin Zhang, Lingling Liu, Jun Guo, Tianlin Wu, Wenjun The School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China The Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University Shaanxi Xi’an710049 China
We introduce a novel task, called Generalized Relation Discovery (GRD), for open-world relation extraction. GRD aims to identify unlabeled instances in existing pre-defined relations or discover novel relations by ass... 详细信息
来源: 评论