咨询与建议

限定检索结果

文献类型

  • 181 篇 会议
  • 86 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 268 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 189 篇 工学
    • 138 篇 计算机科学与技术...
    • 121 篇 软件工程
    • 38 篇 信息与通信工程
    • 22 篇 控制科学与工程
    • 19 篇 生物工程
    • 16 篇 电气工程
    • 14 篇 机械工程
    • 13 篇 电子科学与技术(可...
    • 12 篇 光学工程
    • 11 篇 化学工程与技术
    • 10 篇 农业工程
    • 9 篇 生物医学工程(可授...
    • 8 篇 仪器科学与技术
    • 6 篇 动力工程及工程热...
    • 5 篇 材料科学与工程(可...
    • 4 篇 安全科学与工程
  • 106 篇 理学
    • 66 篇 数学
    • 27 篇 物理学
    • 23 篇 生物学
    • 20 篇 统计学(可授理学、...
    • 10 篇 化学
    • 4 篇 系统科学
  • 73 篇 管理学
    • 53 篇 图书情报与档案管...
    • 24 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 13 篇 农学
    • 11 篇 作物学
  • 8 篇 医学
    • 6 篇 临床医学
    • 5 篇 基础医学(可授医学...
  • 6 篇 法学
    • 6 篇 社会学
  • 4 篇 经济学
    • 4 篇 应用经济学
  • 3 篇 艺术学
  • 1 篇 教育学
  • 1 篇 文学

主题

  • 19 篇 semantics
  • 5 篇 iterative method...
  • 5 篇 data models
  • 4 篇 object detection
  • 4 篇 support vector m...
  • 4 篇 deep neural netw...
  • 4 篇 face recognition
  • 4 篇 syntactics
  • 4 篇 feature extracti...
  • 4 篇 humans
  • 4 篇 forestry
  • 3 篇 international cr...
  • 3 篇 semantic segment...
  • 3 篇 deep learning
  • 3 篇 image segmentati...
  • 3 篇 information tech...
  • 3 篇 data mining
  • 3 篇 computational mo...
  • 3 篇 space technology
  • 3 篇 information and ...

机构

  • 30 篇 key lab. of inte...
  • 24 篇 school of comput...
  • 19 篇 key lab. of inte...
  • 16 篇 university of ch...
  • 15 篇 key lab. of inte...
  • 15 篇 key lab. of inte...
  • 13 篇 school of cyber ...
  • 12 篇 school of cyber ...
  • 10 篇 peng cheng labor...
  • 9 篇 key lab of intel...
  • 8 篇 key laboratory o...
  • 8 篇 bdkm university ...
  • 8 篇 key laboratory o...
  • 8 篇 alibaba group
  • 7 篇 institute of inf...
  • 7 篇 graduate univers...
  • 7 篇 key lab of intel...
  • 6 篇 key lab of intel...
  • 6 篇 institute of dig...
  • 5 篇 graduate univers...

作者

  • 19 篇 huang qingming
  • 19 篇 zhuge hai
  • 18 篇 liu qun
  • 17 篇 xu qianqian
  • 14 篇 yang zhiyong
  • 14 篇 cao xiaochun
  • 10 篇 qingming huang
  • 10 篇 qianqian xu
  • 9 篇 wang zitai
  • 9 篇 zhiyong yang
  • 9 篇 gao wen
  • 8 篇 xiaochun cao
  • 8 篇 mi haitao
  • 7 篇 hai zhuge
  • 7 篇 he qing
  • 7 篇 sun xiaoping
  • 7 篇 huang liang
  • 6 篇 chen xilin
  • 6 篇 xiong hao
  • 5 篇 wang ran

语言

  • 249 篇 英文
  • 14 篇 其他
  • 8 篇 中文
检索条件"机构=Key Lab. of Intelligent Information Processing and Advanced Computing Research Lab"
268 条 记 录,以下是21-30 订阅
排序:
Contrastive Learning for Robust Android Malware Familial Classification
收藏 引用
IEEE Transactions on Dependable and Secure computing 2022年 1-14页
作者: Wu, Yueming Dou, Shihan Zou, Deqing Yang, Wei Qiang, Weizhong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China University of Texas at Dallas Dallas USA 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 Wuhan China
Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps to hide malicious activities. Feature... 详细信息
来源: 评论
IRSEnet: Differentially Private Image Generation with Multi-Scale Feature Extraction and Residual Channel Attention
IRSEnet: Differentially Private Image Generation with Multi-...
收藏 引用
International Conference on intelligent Control and information processing (ICICIP)
作者: Jiahao Li Zhongshuai Wang Kamarul Hawari Bin Ghazali Suqing Yan Rushi Lan Xiyan Sun Xiaonan Luo Guangxi Key Lab. of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China Centre for Advanced Industrial Technology University of Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia Int. Joint Research Lab. of Spatio-temporal Information and Intelligent Location Services Guilin University of Electronic Technology Guilin China
Privacy-preserving image generation is particularly crucial in fields like healthcare, where data are both sensitive and limited. However, effective privacy preservation often compromises the visual quality and utilit... 详细信息
来源: 评论
Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2023年 第4期10卷 957-968页
作者: Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China
Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the... 详细信息
来源: 评论
Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge computing Network Using Deep Reinforcement Learning
收藏 引用
Big Data Mining and Analytics 2024年 第4期7卷 1065-1083页
作者: Chuanwen Luo Jian Zhang Jianxiong Guo Yi Hong Zhibo Chen Shuyang Gu School of Information Science and Technology Beijing Forestry UniversityBeijing 100083Chinaand also with the Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland AdministrationBeijing 100083China Advanced Institute of Natural Sciences Beijing Normal UniversityZhuhai 519087Chinaand also with the Guangdong Key Lab of AI and Multi-Modal Data ProcessingBNU-HKBU United International CollegeZhuhai 519087China Department of Computer Information Systems Texas A&M University-Central TexasKilleenTX 76549USA
Edge computing(EC)pushes computational capability to the Terrestrial Devices(TDs),providing more efficient and faster computing *** Aerial Vehicles(UAVs)equipped with EC servers can be flexibly deployed,even in comple... 详细信息
来源: 评论
Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit
收藏 引用
IEEE Transactions on intelligent Transportation Systems 2024年 第1期25卷 920-928页
作者: Zhu, Guangyu Ding, Jiacun Wei, Yun Yi, Yang Xu, Sendren Sheng-Dong Wu, Edmond Q. Beijing Jiaotong University Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport The Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China Beijing Mass Transit Railway Operation Corporation Ltd. Beijing100014 China Yangzhou University College of Information Engineering Yangzhou225127 China National Taiwan University of Science and Technology Automation and Control Center The Graduate Institute of Automation and Control Taipei106335 Taiwan Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China The Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China
Urban rail transit (URT) is vulnerable to natural disasters and social emergencies including fire, storm and epidemic (such as COVID-19), and real-time origin-destination (OD) flow prediction provides URT operators wi... 详细信息
来源: 评论
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM  39
SSE-SAM: Balancing Head and Tail Classes Gradually Through S...
收藏 引用
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Lyu, Xingyu Xu, Qianqian Yang, Zhiyong Lyu, Shaojie Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Tencent Corporate China BDKM University of Chinese Academy of Sciences China
Real-world datasets often exhibit a long-tailed distribution, where vast majority of classes known as tail classes have only few samples. Traditional methods tend to overfit on these tail classes. Recently, a new appr...
来源: 评论
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM
arXiv
收藏 引用
arXiv 2024年
作者: Lyu, Xingyu Xu, Qianqian Yang, Zhiyong Lyu, Shaojie Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS China School of Computer Science and Tech University of Chinese Academy of Sciences China Tencent Corporate China BDKM University of Chinese Academy of Sciences China
Real-world datasets often exhibit a long-tailed distribution, where vast majority of classes known as tail classes have only few samples. Traditional methods tend to overfit on these tail classes. Recently, a new appr...
来源: 评论
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Han, Boyu Xu, Qianqian Yang, Zhiyong Bao, Shilong Wen, Peisong Jiang, Yangbangyan Huang, Qingming Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Peng Cheng Laboratory China Key Laboratory of Big Data Mining and Knowledge Management CAS China
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performan... 详细信息
来源: 评论
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning  37
A Unified Generalization Analysis of Re-Weighting and Logit-...
收藏 引用
37th Conference on Neural information processing Systems, NeurIPS 2023
作者: Wang, Zitai Xu, Qianqian Yang, Zhiyong He, Yuan Cao, Xiaochun Huang, Qingming SKLOIS Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Alibaba Group China School of Cyber Science and Tech. Shenzhen Campus of Sun Yat-sen University China BDKM University of Chinese Academy of Sciences China
Real-world datasets are typically imbalanced in the sense that only a few classes have numerous samples, while many classes are associated with only a few samples. As a result, a naïve ERM learning process will b... 详细信息
来源: 评论
Patch Is Not All You Need
arXiv
收藏 引用
arXiv 2023年
作者: Li, Changzhen Zhang, Jie Wei, Yang Ji, Zhilong Bai, Jinfeng Shan, Shiguang Key Lab of Intelligent Information Processing Chinese Academy of Sciences Institute of Computing Technology China University of Chinese Academy of Sciences China Hangzhou lnstitute for Advanced Study UCAS School of Intelligent Scienceand Technology China Tomorrow Advancing Life China
Vision Transformers have achieved great success in computer visions, delivering exceptional performance across various tasks. However, their inherent reliance on sequential input enforces the manual partitioning of im... 详细信息
来源: 评论