咨询与建议

限定检索结果

文献类型

  • 2,887 篇 会议
  • 2,473 篇 期刊文献

馆藏范围

  • 5,360 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 3,743 篇 工学
    • 2,814 篇 计算机科学与技术...
    • 2,313 篇 软件工程
    • 696 篇 信息与通信工程
    • 502 篇 控制科学与工程
    • 329 篇 生物工程
    • 307 篇 电气工程
    • 274 篇 电子科学与技术(可...
    • 265 篇 机械工程
    • 214 篇 光学工程
    • 191 篇 生物医学工程(可授...
    • 152 篇 仪器科学与技术
    • 137 篇 化学工程与技术
    • 135 篇 动力工程及工程热...
    • 97 篇 网络空间安全
    • 84 篇 土木工程
    • 82 篇 建筑学
  • 1,821 篇 理学
    • 1,128 篇 数学
    • 388 篇 物理学
    • 370 篇 生物学
    • 308 篇 统计学(可授理学、...
    • 239 篇 系统科学
    • 139 篇 化学
  • 1,079 篇 管理学
    • 663 篇 管理科学与工程(可...
    • 448 篇 图书情报与档案管...
    • 217 篇 工商管理
  • 144 篇 医学
    • 121 篇 临床医学
    • 100 篇 基础医学(可授医学...
    • 75 篇 药学(可授医学、理...
  • 135 篇 法学
    • 100 篇 社会学
  • 76 篇 经济学
    • 76 篇 应用经济学
  • 53 篇 教育学
  • 47 篇 农学
  • 17 篇 文学
  • 15 篇 艺术学
  • 14 篇 军事学

主题

  • 179 篇 computer science
  • 135 篇 laboratories
  • 131 篇 semantics
  • 95 篇 feature extracti...
  • 94 篇 wireless sensor ...
  • 89 篇 optimization
  • 86 篇 training
  • 81 篇 data mining
  • 80 篇 computational mo...
  • 76 篇 software
  • 73 篇 deep learning
  • 70 篇 algorithm design...
  • 61 篇 clustering algor...
  • 61 篇 testing
  • 60 篇 cloud computing
  • 59 篇 software enginee...
  • 58 篇 software testing
  • 58 篇 accuracy
  • 58 篇 web services
  • 56 篇 application soft...

机构

  • 1,051 篇 state key labora...
  • 224 篇 department of co...
  • 210 篇 national key lab...
  • 173 篇 department of co...
  • 139 篇 school of inform...
  • 115 篇 state key labora...
  • 111 篇 state key labora...
  • 106 篇 state key labora...
  • 101 篇 college of compu...
  • 85 篇 university of ch...
  • 81 篇 shandong provinc...
  • 78 篇 school of comput...
  • 72 篇 shandong provinc...
  • 67 篇 department of co...
  • 59 篇 school of softwa...
  • 57 篇 shanghai key lab...
  • 56 篇 school of artifi...
  • 51 篇 state key labora...
  • 51 篇 state key labora...
  • 48 篇 state key labora...

作者

  • 66 篇 gao yang
  • 46 篇 shi yinghuan
  • 42 篇 guihai chen
  • 42 篇 dou wanchun
  • 38 篇 sanglu lu
  • 37 篇 zhou zhi-hua
  • 37 篇 li wu-jun
  • 32 篇 baowen xu
  • 32 篇 junping du
  • 31 篇 shen furao
  • 31 篇 yu huiqun
  • 30 篇 zhao jian
  • 30 篇 xu baowen
  • 29 篇 liu hong
  • 28 篇 fan guisheng
  • 28 篇 zhang lijun
  • 27 篇 lu sanglu
  • 26 篇 yang tianbao
  • 26 篇 xu chang
  • 25 篇 xu xiaolong

语言

  • 4,997 篇 英文
  • 210 篇 其他
  • 155 篇 中文
  • 2 篇 德文
检索条件"机构=State Key Laboratory for Novel Software Technology Department of Computer Science and Technology"
5360 条 记 录,以下是401-410 订阅
排序:
A Channel Mix Method for Fine-Grained Cross-Modal Retrieval
A Channel Mix Method for Fine-Grained Cross-Modal Retrieval
收藏 引用
2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Shen, Yang Sun, Xuhao Wei, Xiu-Shen Hu, Hanxu Chen, Zhipeng School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Xidian University State Key Laboratory of Integrated Services Networks Xi'an China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China University of Edinburgh Edinburgh United Kingdom Beijing China
In this paper, we propose a simple but effective method for dealing with the challenging fine-grained cross-modal retrieval task where it aims to enable flexible retrieval among subor-dinate categories across differen... 详细信息
来源: 评论
Adaptive Plasticity Improvement for Continual Learning
Adaptive Plasticity Improvement for Continual Learning
收藏 引用
Conference on computer Vision and Pattern Recognition (CVPR)
作者: Yan-Shuo Liang Wu-Jun Li Department of Computer Science and Technology National Key Laboratory for Novel Software Technology Nanjing University P. R. China
Many works have tried to solve the catastrophic forgetting (CF) problem in continual learning (lifelong learning). However, pursuing non-forgetting on old tasks may damage the model's plasticity for new tasks. Alt...
来源: 评论
Automating App Review Classification based on Extended Semantic  9
Automating App Review Classification based on Extended Seman...
收藏 引用
9th International Conference on Dependable Systems and Their Applications, DSA 2022
作者: Zhou, Wan Wang, Yong Qu, Yang Li, Li School of Computer and Information Anhui Polytechnic University Anhui Wuhu China Nanjing University State Key Laboratory for Novel Software Technology Jinagsu Nanjing China
Automatic classification of app reviews can help developers quickly read reviews to identify and fix software bugs or add new software functions to meet user requirements. Text mining technologies have been widely use... 详细信息
来源: 评论
A electronic voting protocol based on blockchain and homomorphic signcryption
A electronic voting protocol based on blockchain and homomor...
收藏 引用
作者: Qu, Wenlei Wu, Lei Wang, Wei Liu, Zhaoman Wang, Hao School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China Shandong Provincial Key Laboratory for Software Engineering Jinan China
Compared with traditional voting methods, electronic voting can effectively avoid the phenomenon of fraud for personal gains in various links, it is faster and more accurate in the tallying stage. However, many electr... 详细信息
来源: 评论
Test Generation for Mutation Testing by Symbolic Execution  23
Test Generation for Mutation Testing by Symbolic Execution
收藏 引用
23rd IEEE International Conference on software Quality, Reliability, and Security Companion, QRS-C 2023
作者: Su, Rui Zhang, Zhiyi Zhou, Yuqian Yao, Yongming Collage of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China Nanjing University of Aeronautics and Astronautics Ministry Key Laboratory for Safety-Critical Software Development and Verification Nanjing China Army Engineering of PLA Nanjing China
Mutation testing is a crucial technique to assess the effectiveness of test suites, but it can be computationally expensive. Symbolic execution is a formal technique that generates high-coverage test cases, but its sc... 详细信息
来源: 评论
On the intrinsic structures of spiking neural networks
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2024年 第1期25卷 9206-9279页
作者: Shao-Qun Zhang Jia-Yi Chen Jin-Hui Wu Gao Zhang Huan Xiong Bin Gu Zhi-Hua Zhou National Key Laboratory for Novel Software Technology and School of Intelligent Science and Technology Nanjing University China National Key Laboratory for Novel Software Technology and School of Artificial Intelligence Nanjing University China School of Mathematical Sciences Jiangsu Second Normal University China Department of Machine Learning Mohamed bin Zayed University of Artificial Intelligence UAE
Recent years have emerged a surge of interest in spiking neural networks (SNNs). The performance of SNNs hinges not only on searching apposite architectures and connection weights, similar to conventional artificial n... 详细信息
来源: 评论
MDTeamGPT: A Self-Evolving LLM-based Multi-Agent Framework for Multi-Disciplinary Team Medical Consultation
arXiv
收藏 引用
arXiv 2025年
作者: Chen, Kai Li, Xinfeng Yang, Tianpei Wang, Hewei Dong, Wei Gao, Yang State Key Laboratory for Novel Software Technology Nanjing University China Nanyang Technological University Singapore School of Computer Science Carnegie Mellon University United States
Large Language Models (LLMs) have made significant progress in various fields. However, challenges remain in Multi-Disciplinary Team (MDT) medical consultations. Current research enhances reasoning through role assign... 详细信息
来源: 评论
Loss decoupling for task-agnostic continual learning  23
Loss decoupling for task-agnostic continual learning
收藏 引用
Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Yan-Shuo Liang Wu-Jun Li National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University P. R. China
Continual learning requires the model to learn multiple tasks in a sequential order. To perform continual learning, the model must possess the abilities to maintain performance on old tasks (stability) and adapt itsel...
来源: 评论
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
收藏 引用
IEEE Transactions on Medical Imaging 2025年 PP卷 PP页
作者: Li, Shumeng Qi, Lei Yu, Qian Huo, Jing Shi, Yinghuan Gao, Yang Nanjing University State Key Laboratory for Novel Software Technology China Nanjing University National Institute of Healthcare Data Science China School of Computer Science and Engineering China Shandong Women's University School of Data and Computer Science China
Segment Anything Model (SAM) fine-tuning has shown remarkable performance in medical image segmentation in a fully supervised manner, but requires precise annotations. To reduce the annotation cost and maintain satisf... 详细信息
来源: 评论
Contrastive Noise-Guided Invertible Network for Image Steganography
收藏 引用
IEEE Transactions on Consumer Electronics 2024年
作者: Zhang, Le Lu, Yao Lu, Guangming Harbin Institute of Technology at Shenzhen Department of Computer Science and Technology Shenzhen518057 China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies Harbin Institute of Technology at Shenzhen Department of Computer Science and Technology Shenzhen518057 China
Image steganography aims to produce stego images through hiding secret images in the cover images to achieve covert communication. To simultaneously improve the invisibility and revealing quality of covert communicati... 详细信息
来源: 评论