咨询与建议

限定检索结果

文献类型

  • 477 篇 会议
  • 340 篇 期刊文献

馆藏范围

  • 817 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 565 篇 工学
    • 408 篇 计算机科学与技术...
    • 365 篇 软件工程
    • 143 篇 信息与通信工程
    • 87 篇 生物工程
    • 59 篇 光学工程
    • 58 篇 生物医学工程(可授...
    • 49 篇 控制科学与工程
    • 48 篇 机械工程
    • 48 篇 电气工程
    • 43 篇 化学工程与技术
    • 42 篇 电子科学与技术(可...
    • 23 篇 仪器科学与技术
    • 22 篇 土木工程
    • 20 篇 建筑学
    • 18 篇 交通运输工程
    • 14 篇 材料科学与工程(可...
  • 306 篇 理学
    • 172 篇 数学
    • 91 篇 生物学
    • 76 篇 物理学
    • 59 篇 统计学(可授理学、...
    • 30 篇 化学
    • 23 篇 系统科学
  • 134 篇 管理学
    • 71 篇 管理科学与工程(可...
    • 62 篇 图书情报与档案管...
    • 28 篇 工商管理
  • 45 篇 医学
    • 39 篇 临床医学
    • 33 篇 基础医学(可授医学...
    • 22 篇 药学(可授医学、理...
  • 27 篇 法学
    • 23 篇 社会学
  • 15 篇 经济学
    • 15 篇 应用经济学
  • 15 篇 农学
  • 14 篇 教育学
  • 3 篇 军事学
  • 2 篇 文学

主题

  • 29 篇 semantics
  • 27 篇 feature extracti...
  • 24 篇 deep learning
  • 20 篇 training
  • 15 篇 object detection
  • 15 篇 convolution
  • 14 篇 neural networks
  • 14 篇 machine learning
  • 14 篇 accuracy
  • 12 篇 predictive model...
  • 11 篇 anomaly detectio...
  • 11 篇 knowledge graph
  • 11 篇 computational mo...
  • 11 篇 synthetic apertu...
  • 11 篇 forecasting
  • 10 篇 image enhancemen...
  • 10 篇 signal processin...
  • 10 篇 data models
  • 9 篇 visualization
  • 9 篇 remote sensing

机构

  • 142 篇 guangdong key la...
  • 92 篇 henan key labora...
  • 70 篇 school of comput...
  • 51 篇 school of comput...
  • 49 篇 school of comput...
  • 39 篇 school of data a...
  • 33 篇 shaanxi key labo...
  • 32 篇 school of artifi...
  • 29 篇 sun yat-sen univ...
  • 28 篇 shaanxi key labo...
  • 24 篇 school of comput...
  • 19 篇 college of compu...
  • 18 篇 microsoft resear...
  • 16 篇 key laboratory o...
  • 16 篇 xi'an key labora...
  • 14 篇 peng cheng labor...
  • 13 篇 henan university...
  • 13 篇 henan engineerin...
  • 13 篇 shaanxi key labo...
  • 11 篇 henan key labora...

作者

  • 50 篇 yin jian
  • 26 篇 wang zhongmin
  • 23 篇 wu di
  • 21 篇 chen yanping
  • 20 篇 su qinliang
  • 18 篇 yu jianxing
  • 16 篇 zhang lei
  • 15 篇 liu yang
  • 15 篇 zuo xianyu
  • 15 篇 wang lihui
  • 14 篇 gao cong
  • 14 篇 duan nan
  • 14 篇 jian yin
  • 14 篇 zhongmin wang
  • 13 篇 tang duyu
  • 13 篇 xia hong
  • 13 篇 lei zhang
  • 13 篇 zhou yipeng
  • 12 篇 xiaoke zhu
  • 12 篇 li ning

语言

  • 781 篇 英文
  • 32 篇 其他
  • 4 篇 中文
检索条件"机构=Key Laboratory of Data Analysis and Image Processing"
817 条 记 录,以下是31-40 订阅
排序:
Convolution Type of Metaplectic Cohen's Distribution Time-Frequency analysis Theory, Method and Technology
收藏 引用
IEEE Transactions on Information Theory 2025年 第3期71卷 2292-2314页
作者: Cui, Manjun Zhang, Zhichao Han, Jie Chen, Yunjie Cao, Chunzheng Nanjing University of Information Science and Technology School of Mathematics and Statistics Center for Applied Mathematics of Jiangsu Province Jiangsu International Joint Laboratory on System Modeling and Data Analysis Nanjing210044 China Nanjing University of Information Science and Technology School of Mathematics and Statistics Nanjing210044 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Hainan Normal University Key Laboratory of Computational Science and Application of Hainan Province Haikou571158 China Nanjing University of Information Science and Technology School of Remote Sensing and Geomatics Engineering Nanjing210044 China
The conventional Cohen's distribution can't meet the requirement of additive noises jamming signals high-performance denoising under the condition of low signal-to-noise ratio, it is necessary to integrate the... 详细信息
来源: 评论
An enhanced sparse subset selection model based on adaptive projection distance
收藏 引用
Evolutionary Intelligence 2025年 第3期18卷 1-15页
作者: Feng, Feng Gao, Erwei Zhi, Xiaobin Zhao, Yichuan School of Science and Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an University of Posts and Telecommunications Xi’an 710121 China School of Communication and Information Engineering Xi’an University of Posts and Telecommunications Xi’an 710121 China School of Science and Research Center for Intelligent Systems and Data Science Xi’an University of Posts and Telecommunications Xi’an 710121 China Department of Mathematics and Statistics Georgia State University Atlanta 30303 GA United States
Subset selection focuses on identifying representative samples from a large dataset to produce a data subset that can represent the main features of the original data and also reduce the data size in an effective way.... 详细信息
来源: 评论
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models
arXiv
收藏 引用
arXiv 2025年
作者: Huang, Zhongzhan Zhong, Shanshan Zhou, Pan Gao, Shanghua Zitnik, Marinka Lin, Liang Sun Yat-sen University China Singapore Management University Singapore Harvard University United States Guangdong Key Laboratory of Big Data Analysis and Processing and Peng Cheng Laboratory China
Recently, numerous benchmarks have been developed to evaluate the logical reasoning abilities of large language models (LLMs). However, assessing the equally important creative capabilities of LLMs is challenging due ... 详细信息
来源: 评论
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction
arXiv
收藏 引用
arXiv 2025年
作者: He, Zijian Ning, Yuwei Qin, Yipeng Wang, Wangrun Yang, Sibei Lin, Liang Li, Guanbin Sun Yat-sen University China Cardiff University United Kingdom ShanghaiTech University China Guangdong Key Laboratory of Big Data Analysis and Processing China Peng Cheng Laboratory China
Virtual Try-On (VTON) is a transformative technology in e-commerce and fashion design, enabling realistic digital visualization of clothing on individuals. In this work, we propose VTON 360, a novel 3D VTON method tha... 详细信息
来源: 评论
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
arXiv
收藏 引用
arXiv 2025年
作者: Wan, Wentao Yang, Zhuojie Chen, Yongcan Luo, Chenglin Wang, Ruilin Cai, Kehao Kang, Nan Lin, Liang Wang, Keze School of Computer Science and Engineering Sun Yat-sen University China Guangdong Key Laboratory of Big Data Analysis and Processing China South China Normal University China
Deductive reasoning is a crucial logical capability that assists us in solving complex problems based on existing knowledge. Although augmented by Chain-of-Thought prompts, Large Language Models (LLMs) might not follo... 详细信息
来源: 评论
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection with Adaptive Diffusion Models
收藏 引用
IEEE Transactions on Big data 2025年
作者: Xiao, Chunjing Tong, Yao Lu, Jiahui Xue, Yuxia Tai, Wenxin Cheng, Zhangtao Zhou, Fan The Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China The University of Electronic Science and Technology of China Chengdu610054 China
Graph anomaly detection has gained significant research interest across various domains. Due to the lack of labeled data, contrastive learning has been applied in detecting anomalies and various contrastive strategies... 详细信息
来源: 评论
AMHF-TP:Multifunctional therapeutic peptides prediction based on multi-granularity hierarchical features
收藏 引用
Quantitative Biology 2025年 第1期13卷 127-141页
作者: Shouheng Tuo YanLing Zhu Jiangkun Lin Jiewei Jiang School of Computer Science and Technology Xi’an University of Posts and TelecommunicationsXi’anChina Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’anChina Xi’an Key Laboratory of Big Data and Intelligent Computing Xi’anChina School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’anChina
Multifunctional therapeutic peptides(MFTP)hold immense potential in diverse therapeutic contexts,yet their prediction and identification remain challenging due to the limitations of traditional methodologies,such as e... 详细信息
来源: 评论
UNIGS: UNIFIED LANGUAGE-image-3D PRETRAINING WITH GAUSSIAN SPLATTING
arXiv
收藏 引用
arXiv 2025年
作者: Li, Haoyuan Zhou, Yanpeng Tang, Tao Song, Jifei Zeng, Yihan Kampffmeyer, Michael Xu, Hang Liang, Xiaodan Shenzhen campus of Sun Yat-sen University China Huawei Noah’s Ark Lab Canada UiT The Arctic University of Norway Norway Peng Cheng Laboratory China Guangdong Key Laboratory of Big Data Analysis and Processing China
Recent advancements in multi-modal 3D pre-training methods have shown promising efficacy in learning joint representations of text, images, and point clouds. However, adopting point clouds as 3D representation fails t... 详细信息
来源: 评论
FIE-Net: Foreground Instance Enhancement Network for Domain Adaptation Object Detection in Remote Sensing imagery
收藏 引用
IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷
作者: Zhang, Jun Zhang, Xupeng Liu, Shuai Pan, Bin Shi, Zhenwei Hebei University of Technology School of Artificial Intelligence Tianjin300401 China Hebei Province Key Laboratory of Big Data Calculation Tianjin300401 China KLMDASR LEBPS LPMC Nankai University School of Statistics and Data Science Tianjin300071 China Beihang University Image Processing Center School of Astronautics State Key Laboratory of Virtual Reality Technology and Systems Beijing100191 China
Domain adaptation methods can mitigate performance degradation in remote sensing image object detection that arises from interdomain differences. However, current approaches often overlook the focused attention on for... 详细信息
来源: 评论
Homophily Induced Contrastive Attributed Graph Clustering
收藏 引用
IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Chen, Man-Sheng Lai, Pei-Yuan Liao, De-Zhang Wang, Chang-Dong Lai, Jian-Huang Sun Yat-sen University School of Computer Science and Engineering Guangzhou China Guangxi Zhuang Autonomous Region Information Center Guangxi Key Laboratory of Digital Infrastructure Nanning China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China South China Technology Commercialization Center Guangzhou China Guangdong Key Laboratory of Information Security Technology Guangzhou China
Attributed graph clustering, aiming to discover the underlying graph structure and partition the graph nodes into several disjoint categories, is a basic task in graph data analysis. Although recent efforts over graph... 详细信息
来源: 评论