咨询与建议

限定检索结果

文献类型

  • 306 篇 期刊文献
  • 248 篇 会议

馆藏范围

  • 554 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 386 篇 工学
    • 303 篇 计算机科学与技术...
    • 268 篇 软件工程
    • 73 篇 信息与通信工程
    • 50 篇 生物工程
    • 46 篇 控制科学与工程
    • 44 篇 电气工程
    • 43 篇 光学工程
    • 35 篇 生物医学工程(可授...
    • 30 篇 电子科学与技术(可...
    • 27 篇 机械工程
    • 23 篇 化学工程与技术
    • 14 篇 土木工程
    • 13 篇 建筑学
    • 13 篇 交通运输工程
    • 13 篇 安全科学与工程
    • 9 篇 力学(可授工学、理...
    • 9 篇 网络空间安全
    • 8 篇 仪器科学与技术
  • 211 篇 理学
    • 99 篇 数学
    • 68 篇 物理学
    • 58 篇 生物学
    • 38 篇 统计学(可授理学、...
    • 25 篇 化学
    • 15 篇 系统科学
  • 103 篇 管理学
    • 54 篇 管理科学与工程(可...
    • 47 篇 图书情报与档案管...
    • 15 篇 工商管理
  • 28 篇 医学
    • 25 篇 临床医学
    • 23 篇 基础医学(可授医学...
    • 19 篇 药学(可授医学、理...
  • 9 篇 法学
  • 7 篇 经济学
  • 5 篇 农学
  • 4 篇 教育学

主题

  • 21 篇 semantics
  • 18 篇 training
  • 16 篇 deep learning
  • 15 篇 feature extracti...
  • 14 篇 neural networks
  • 12 篇 contrastive lear...
  • 10 篇 computational mo...
  • 10 篇 computer vision
  • 9 篇 conferences
  • 9 篇 object detection
  • 9 篇 task analysis
  • 8 篇 semantic segment...
  • 8 篇 benchmark testin...
  • 8 篇 machine learning
  • 8 篇 forecasting
  • 7 篇 data models
  • 6 篇 deep neural netw...
  • 6 篇 transformers
  • 6 篇 signal processin...
  • 6 篇 speech processin...

机构

  • 191 篇 school of comput...
  • 156 篇 key laboratory o...
  • 54 篇 guangdong provin...
  • 41 篇 peng cheng labor...
  • 35 篇 laboratory for a...
  • 20 篇 college of intel...
  • 19 篇 key laboratory o...
  • 17 篇 the school of co...
  • 16 篇 guangdong key la...
  • 13 篇 sun yat-sen univ...
  • 13 篇 tianjin key labo...
  • 12 篇 pazhou lab
  • 12 篇 guangdong key la...
  • 11 篇 japan advanced i...
  • 11 篇 tianjin key labo...
  • 10 篇 institute of art...
  • 10 篇 tianjin key labo...
  • 10 篇 ministry of educ...
  • 9 篇 school of comput...
  • 9 篇 guangdong key la...

作者

  • 85 篇 zheng wei-shi
  • 31 篇 xie xiaohua
  • 29 篇 wei-shi zheng
  • 23 篇 lai jianhuang
  • 20 篇 lai jian-huang
  • 19 篇 wang ruixuan
  • 16 篇 wang chang-dong
  • 16 篇 yang lingxiao
  • 13 篇 wu xiao-ming
  • 12 篇 lin kun-yu
  • 12 篇 yunong zhang
  • 12 篇 wu ancong
  • 11 篇 lu wei
  • 10 篇 yan junkai
  • 9 篇 meng jingke
  • 9 篇 jianhuang lai
  • 9 篇 wei yi-lin
  • 9 篇 qu dan
  • 9 篇 hu jian-fang
  • 8 篇 dang jianwu

语言

  • 507 篇 英文
  • 47 篇 其他
  • 3 篇 中文
检索条件"机构=Laboratory for Advanced Computing and Intelligence Engineering"
554 条 记 录,以下是51-60 订阅
排序:
GAEM: Graph-driven Attention-based Entropy Model for LiDAR Point Cloud Compression
收藏 引用
IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Cui, Mingyue Zhong, Yuyang Feng, Mingjian Long, Junhua Ling, Yehua Xu, Jiahao Huang, Kai Sun Yat-sen University School of Computer Science and Engineering Guangzhou400100 China Sun Yat-sen University key Laboratory of Machine Intelligence and Advanced Computing Guangzhou400100 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Guangxi Transportation Science and Technology Group Co. Ltd Nanning530029 China
High-quality LiDAR point cloud (LPC) coding is essential for efficiently transmitting and storing the vast amounts of data required for accurate 3D environmental representation. The Octree-based entropy coding framewo... 详细信息
来源: 评论
ThicknessVAE: Learning a Lateral Prior for Clothed Human Body Reconstruction
ThicknessVAE: Learning a Lateral Prior for Clothed Human Bod...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Xiaotao Wu Zhaoxin Fan Huiguang He Dinggang Shen School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech University Shanghai China NeuBCI Group State Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology Institute of Automation Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Institute of Artificial Intelligence Beihang University Beijing China Beijing Academy of Blockchain and Edge Computing China Shanghai United Imaging Intelligence Co. Ltd. Shanghai China Shanghai Clinical Research and Trial Center Shanghai China
Sandwich-like structures have shown remarkable efficacy in clothed human reconstruction. However, these approaches often generate unrealistic side geometries due to inadequate handling of lateral regions. This paper a... 详细信息
来源: 评论
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
arXiv
收藏 引用
arXiv 2025年
作者: Meng, Runqi Song, Sifan Jin, Pengfei Oh, Yujin Teng, Lin Wang, Yulin Sun, Yiqun Chen, Ling Li, Xiang Li, Quanzheng Guo, Ning Shen, Dinggang School of Biomedical Engineering State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech University China Center of Advanced Medical Computing and Analysis Massachusetts General Hospital Harvard Medical School Harvard University United States Shanghai United Imaging Intelligence Co. Ltd China Shanghai Clinical Research and Trial Center China
Accurate tumor segmentation is crucial for cancer diagnosis and treatment. While foundation models have advanced general-purpose segmentation, existing methods still struggle with: (1) limited incorporation of medical... 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
Visual Class Incremental Learning with Textual Priors Guidance based on an Adapted Vision-Language Model
收藏 引用
IEEE Transactions on Multimedia 2025年
作者: Zhang, Wentao Yu, Tong Wang, Ruixuan Xie, Jianhui Trucco, Emanuele Zheng, Wei-Shi Yang, Xiaobo Sun Yat-sen Univerisity School of Computer Science and Engineering Guangzhou510275 China Peng Cheng Laboratory Shenzhen518066 China MOE Key Laboratory of Machine Intelligence and Advanced Computing Guangzhou510275 China Second Affiliated Hospital Guangzhou University of Chinese Medicine State Key Laboratory of Dampness Syndrome of Chinese Medicine Guangzhou510260 China Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome Guangzhou510120 China University of Dundee School of Science and Engineering DundeeDD1 4HN United Kingdom
An ideal artificial intelligence (AI) system should have the capability to continually learn like humans. However, when learning new knowledge, AI systems often suffer from catastrophic forgetting of old knowledge. Al... 详细信息
来源: 评论
A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection
arXiv
收藏 引用
arXiv 2025年
作者: Fu, Shenghao Yan, Junkai Yang, Qize Wei, Xihan Xie, Xiaohua Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Peng Cheng Laboratory China Tongyi Lab Alibaba Group China School of Computer Science and Engineering Sun Yat-sen University Guangdong Guangzhou China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangdong Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University Ministry of Education Guangdong Guangzhou China
Open-vocabulary object detection (OVD) aims to detect objects beyond the training annotations, where detectors are usually aligned to a pre-trained vision-language model, e.g., CLIP, to inherit its generalizable recog... 详细信息
来源: 评论
Progressive Human Motion Generation Based on Text and Few Motion Frames
arXiv
收藏 引用
arXiv 2025年
作者: Zeng, Ling-An Wu, Gaojie Wu, Ancong Hu, Jian-Fang Zheng, Wei-Shi School of Artificial Intelligence Sun Yat-sen University Guangdong Zhuhai519082 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510275 China School of Computer Science and Engineering Sun Yat-sen University Guangdong Guangzhou510275 China Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangdong Guangzhou510275 China Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University Ministry of Education Guangdong Guangzhou510275 China
Although existing text-to-motion (T2M) methods can produce realistic human motion from text description, it is still difficult to align the generated motion with the desired postures since using text alone is insuffic...
来源: 评论
Dual-Level Masked Semantic Inference for Semi-Supervised Semantic Segmentation
收藏 引用
IEEE Transactions on Multimedia 2025年
作者: Ma, Qiankun Zhang, Ziyao Qiao, Pengchong Wang, Yu Ji, Rongrong Liu, Chang Chen, Jie Peking University School of Electronic and Computer Engineering Shenzhen518055 China Chinese Academy of Sciences Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology Shenzhen518055 China University of the Chinese Academy of Sciences Beijing100049 China Peng Cheng Laboratory Shenzhen518055 China Xiamen University Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen361005 China Tsinghua University Department of Automation Beijing100084 China
Semi-supervised semantic segmentation pursues a holistic pixel-wise understanding of unseen images with limited annotation. To this end, existing methods focus on regularizing per-pixel prediction consistency within u... 详细信息
来源: 评论
Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony
arXiv
收藏 引用
arXiv 2025年
作者: Pan, Guandong Wu, Zhaobang Yang, Yaqian Wang, Xin Liu, Longzhao Zheng, Zhiming Tang, Shaoting School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Key laboratory of Mathematics Informatics and Behavioral Semantics Beihang University Beijing100191 China Institute of Medical Artificial Intelligence Binzhou Medical University Yantai264003 China Zhongguancun Laboratory Beijing100094 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University Beijing100191 China PengCheng Laboratory Shenzhen518055 China State Key Lab of Software Development Environment Beihang University Beijing100191 China
The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this through manual human annotations is chal... 详细信息
来源: 评论
Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony  4th
Potential Indicator for Continuous Emotion Arousal by Dyna...
收藏 引用
4th International Workshop on Human Brain and Artificial intelligence, HBAI 2024
作者: Pan, Guandong Wu, Zhaobang Yang, Yaqian Wang, Xin Liu, Longzhao Zheng, Zhiming Tang, Shaoting School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Key Laboratory of Mathematics Informatics and Behavioral Semantics Beihang University Beijing100191 China Institute of Medical Artificial Intelligence Binzhou Medical University Yantai264003 China Zhongguancun Laboratory Beijing100094 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University Beijing100191 China PengCheng Laboratory Shenzhen518055 China State Key Lab of Software Development Environment Beihang University Beijing100191 China
The need for automatic and high-quality emotion annotation is paramount in applications such as continuous emotion recognition and video highlight detection, yet achieving this through manual human annotations is chal... 详细信息
来源: 评论