咨询与建议

限定检索结果

文献类型

  • 458 篇 期刊文献
  • 319 篇 会议

馆藏范围

  • 777 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 490 篇 工学
    • 361 篇 计算机科学与技术...
    • 304 篇 软件工程
    • 97 篇 生物工程
    • 78 篇 信息与通信工程
    • 69 篇 生物医学工程(可授...
    • 61 篇 光学工程
    • 47 篇 电气工程
    • 46 篇 控制科学与工程
    • 34 篇 电子科学与技术(可...
    • 24 篇 化学工程与技术
    • 18 篇 机械工程
    • 16 篇 仪器科学与技术
    • 16 篇 安全科学与工程
    • 15 篇 土木工程
    • 14 篇 建筑学
    • 14 篇 网络空间安全
  • 302 篇 理学
    • 121 篇 生物学
    • 116 篇 数学
    • 92 篇 物理学
    • 41 篇 统计学(可授理学、...
    • 28 篇 化学
    • 18 篇 地球物理学
    • 18 篇 系统科学
  • 113 篇 管理学
    • 61 篇 图书情报与档案管...
    • 57 篇 管理科学与工程(可...
    • 19 篇 工商管理
  • 64 篇 医学
    • 55 篇 临床医学
    • 53 篇 基础医学(可授医学...
    • 32 篇 药学(可授医学、理...
    • 19 篇 公共卫生与预防医...
  • 15 篇 法学
  • 11 篇 农学
  • 9 篇 教育学
  • 8 篇 经济学
  • 2 篇 文学
  • 2 篇 艺术学
  • 1 篇 哲学
  • 1 篇 历史学

主题

  • 27 篇 machine learning
  • 26 篇 deep neural netw...
  • 25 篇 semantics
  • 22 篇 deep learning
  • 17 篇 training
  • 16 篇 computational mo...
  • 12 篇 memory managemen...
  • 12 篇 feature extracti...
  • 11 篇 task analysis
  • 10 篇 data models
  • 8 篇 scalability
  • 8 篇 generative adver...
  • 7 篇 parallel process...
  • 7 篇 magnetic resonan...
  • 7 篇 computer archite...
  • 7 篇 throughput
  • 7 篇 containers
  • 7 篇 efficiency
  • 7 篇 bandwidth
  • 7 篇 predictive model...

机构

  • 101 篇 national enginee...
  • 56 篇 school of comput...
  • 50 篇 school of cyber ...
  • 36 篇 national enginee...
  • 31 篇 services computi...
  • 31 篇 hubei engineerin...
  • 28 篇 hubei key labora...
  • 27 篇 cluster and grid...
  • 26 篇 huazhong univers...
  • 20 篇 hiroshima astrop...
  • 20 篇 department of ph...
  • 19 篇 school of softwa...
  • 17 篇 department of ph...
  • 17 篇 university of ch...
  • 16 篇 berkeley institu...
  • 16 篇 secure computing...
  • 16 篇 zhejiang lab
  • 15 篇 department of ph...
  • 15 篇 physics division...
  • 15 篇 national energy ...

作者

  • 112 篇 hai jin
  • 111 篇 jin hai
  • 42 篇 xiaofei liao
  • 25 篇 hu shengshan
  • 21 篇 haikun liu
  • 20 篇 liao xiaofei
  • 19 篇 long zheng
  • 18 篇 zou deqing
  • 17 篇 zhang leo yu
  • 17 篇 nachman benjamin
  • 16 篇 wu baoyuan
  • 15 篇 bastieri d.
  • 15 篇 green d.
  • 15 篇 orlando e.
  • 15 篇 lubrano p.
  • 15 篇 gargano f.
  • 15 篇 spinelli p.
  • 15 篇 kuss m.
  • 15 篇 mikuni vinicius
  • 15 篇 yu zhang

语言

  • 585 篇 英文
  • 187 篇 其他
  • 10 篇 中文
检索条件"机构=Cognitive Computing and Data Science Research Lab"
777 条 记 录,以下是41-50 订阅
排序:
NaFV-Net: An Adversarial Four-view Network for Mammogram Classification  39
NaFV-Net: An Adversarial Four-view Network for Mammogram Cla...
收藏 引用
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Lu, Feng Hou, Yuxiang Li, Wei Yang, Xiangying Zheng, Haibo Luo, Wenxi Chen, Leqing Cao, Yuyang Liao, Xiaofei Zhang, Yu Yang, Fan Zomaya, Albert 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 and Technology Huazhong University of Science and Technology China Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies Centre for Distributed and High Performance Computing School of Computer Science University of Sydney Australia Tongji Hospital Tongji Medical College Huazhong University of Science and Technology China
Breast cancer remains a leading cause of mortality among women, with millions of new cases diagnosed annually. Early detection through screening is crucial. Using neural networks to improve the accuracy of breast canc... 详细信息
来源: 评论
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
CoSafe: Evaluating Large Language Model Safety in Multi-Turn...
收藏 引用
2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Yu, Erxin Li, Jing Liao, Ming Wang, Siqi Gao, Zuchen Mi, Fei Hong, Lanqing Department of Computing The Hong Kong Polytechnic University Hong Kong Research Centre for Data Science & Artificial Intelligence Hong Kong Huawei Noah's Ark Lab Canada
As large language models (LLMs) constantly evolve, ensuring their safety remains a critical research issue. Previous red teaming approaches for LLM safety have primarily focused on single prompt attack or goal hijacki... 详细信息
来源: 评论
Maverick: Personalized Edge-Assisted Federated Learning with Contrastive Training  25
Maverick: Personalized Edge-Assisted Federated Learning with...
收藏 引用
34th ACM Web Conference, WWW 2025
作者: Wang, Kaibin He, Qiang Dong, Zeqian Chen, Rui He, Chuan Chua, Caslon Chen, Feifei Yang, Yun Swinburne University of Technology Melbourne Australia Huazhong University of Science and Technology Wuhan China Deakin University Melbourne Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
In an edge-assisted federated learning (FL) system, edge servers aggregate the local models from the clients within their coverage areas to produce intermediate models for the production of the global model. This sign... 详细信息
来源: 评论
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism  39
Multimodal Biological Knowledge Graph Completion via Triple ...
收藏 引用
39th IEEE International Conference on data Engineering, ICDE 2023
作者: Xu, Derong Zhou, Jingbo Xu, Tong Xia, Yuan Liu, Ji Chen, Enhong Dou, Dejing University of Science and Technology of China State Key Laboratory of Cognitive Intelligence China Baidu Research Business Intelligence Lab Baidu Intelligent Healthcare Unit Baidu Research Big Data Lab BCG X
Biological Knowledge Graphs (BKGs) can help to model complex biological systems in a structural way to support various tasks. Nevertheless, the incompleteness problem may limit the performance of existing BKGs, which ... 详细信息
来源: 评论
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models  41
Intersecting-Boundary-Sensitive Fingerprinting for Tampering...
收藏 引用
41st International Conference on Machine Learning, ICML 2024
作者: Bai, Xiaofan He, Chaoxiang Ma, Xiaojing Zhu, Bin Benjamin Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Microsoft United States School of Computer Science and Technology Huazhong University of Science and Technology China Cluster and Grid Computing Lab China
Cloud-based AI services offer numerous benefits but also introduce vulnerabilities, allowing for tampering with deployed DNN models, ranging from injecting malicious behaviors to reducing computing resources. Fingerpr... 详细信息
来源: 评论
ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction  37
ES-Mask: Evolutionary Strip Mask for Explaining Time Series ...
收藏 引用
37th AAAI Conference on Artificial Intelligence, AAAI 2023
作者: Sun, Yifei Song, Cheng Lu, Feng Li, Wei Jin, Hai Zomaya, Albert Y. 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 China Centre for Distributed and High Performance Computing School of Computer Science University of Sydney Australia
Machine learning models are increasingly used in time series prediction with promising results. The model explanation of time series prediction falls behind the model development and makes less sense to users in under... 详细信息
来源: 评论
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors  39
NumbOD: A Spatial-Frequency Fusion Attack Against Object Det...
收藏 引用
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Zhou, Ziqi Li, Bowen Song, Yufei Yu, Zhifei Hu, Shengshan Wan, Wei Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have be... 详细信息
来源: 评论
Demystifying Ethereum account diversity:observations,models and analysis
收藏 引用
Frontiers of Computer science 2022年 第4期16卷 119-130页
作者: Chaofan Wang Xiaohai Dai Jiang Xiao Chenchen Li Ming Wen Bingbing Zhou Hai Jin Clusters and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabWuhan430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China Centre for Distributed and High Performance Computing School of Information TechnologiesThe University of SydneyCamperdownNew South Wales2006Australia
Blockchain platform Ethereum has involved millions of accounts due to its strong potential for providing numerous services based on smart *** massive accounts can be divided into diverse categories,such as miners,toke... 详细信息
来源: 评论
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need  38
Unlearnable 3D Point Clouds: Class-wise Transformation Is Al...
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Wang, Xianlong Li, Minghui Liu, Wei Zhang, Hangtao Hu, Shengshan Zhang, Yechao Zhou, Ziqi Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China
Traditional unlearnable strategies have been proposed to prevent unauthorized users from training on the 2D image data. With more 3D point cloud data containing sensitivity information, unauthorized usage of this new ...
来源: 评论
NEURAL FIELD CLASSIFIERS VIA TARGET ENCODING AND CLASSIFICATION LOSS
arXiv
收藏 引用
arXiv 2024年
作者: Yang, Xindi Xie, Zeke Zhou, Xiong Liu, Boyu Liu, Buhua Liu, Yi Wang, Haoran Cai, Yunfeng Sun, Mingming Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University China Cognitive Computing Lab Baidu Research
Neural field methods have seen great progress in various long-standing tasks in computer vision and computer graphics, including novel view synthesis and geometry reconstruction. As existing neural field methods try t... 详细信息
来源: 评论