中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共441条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
XAI-enabled neural network analysis of metabolite spatial distributions 期刊论文
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 页码: 12
作者:  Ma, Wenwu;  Luo, Lanfang;  Liang, Kun;  Liu, Taoyan;  Su, Jiali;  Wang, Yuefan;  Li, Jun;  Zhou, S. Kevin;  Shyh-Chang, Ng
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Mass spectrometry imaging  Deep neural networks  Feature extraction  Pathway analysis  Aging  
CLC: A Consensus-based Label Correction Approach in Federated Learning 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2022, 卷号: 13, 期号: 5, 页码: 23
作者:  Zeng, Bixiao;  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Zhang, Yingwei
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Federated learning  data evaluation  consensus mechanism  
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 1, 页码: 462-474
作者:  Liu, Yang;  Ao, Xiang;  Dong, Linfeng;  Zhang, Chao;  Wang, Jin;  He, Qing
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Spatiotemporal activity  mobile data  cross-modal  hierarchical embedding  
Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501
作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack  
Towards In-Network Compact Representation: Mergeable Counting Bloom Filter Vis Cuckoo Scheduling 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 55329-55339
作者:  Liu, Wenjing;  Xu, Zhiwei;  Tian, Jie;  Zhang, Yujun
收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01
Arrays  Merging  Random access memory  Edge computing  Distributed databases  Schedules  Electronic mail  Edge computing  in-network data representation  compact representation  mergeable counting bloom filter  cuckoo-based bit array scheduling  
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2003-2015
作者:  Liu, Xinda;  Min, Weiqing;  Mei, Shuhuan;  Wang, Lili;  Jiang, Shuqiang
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Diseases  Agriculture  Plants (biology)  Visualization  Image recognition  Feature extraction  Medical diagnosis  Plant disease recognition  fine-grained visual classification  reweighting approach  feature aggregation  
Data Security and Privacy Challenges of Computing Offloading in FINs 期刊论文
IEEE NETWORK, 2020, 卷号: 34, 期号: 2, 页码: 14-20
作者:  Wang, Fei;  Diao, Boyu;  Sun, Tao;  Xu, Yongjun
收藏  |  浏览/下载：85/0  |  提交时间：2020/12/10
Task analysis  Cloud computing  Data privacy  Edge computing  Smart homes  Data security  
Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization 期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2019, 卷号: 51, 页码: 16
作者:  Tian, Dongping;  Zhao, Xiaofei;  Shi, Zhongzhi
收藏  |  浏览/下载：43/0  |  提交时间：2020/12/10
Particle swarm optimization  Acceleration coefficients  Logistic map  Swarm diversity  Inertial weight  Premature convergence  
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2019, 卷号: 10, 期号: 4, 页码: 26
作者:  Ao, Xiang;  Shi, Haoran;  Wang, Jin;  Zuo, Luo;  Li, Hongwei;  He, Qing
收藏  |  浏览/下载：41/0  |  提交时间：2020/12/10
Frequent episode mining  peak episode miner  large-scale sequence mining  hierarchy-aware maximal/closed episode