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AD(2)S: Adaptive anomaly detection on sporadic data streams 期刊论文
COMPUTER COMMUNICATIONS, 2023, 卷号: 209, 页码: 151-162
作者:  Liu, Fengrui;  Wang, Yang;  Li, Zhenyu;  Guan, Hongtao;  Xie, Gaogang
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
Anomaly detection  Sporadic data  Data streams  Quality of service  
DOE: database offloading engine for accelerating SQL processing 期刊论文
DISTRIBUTED AND PARALLEL DATABASES, 2023, 页码: 25
作者:  Kong, Hao;  Lu, Wenyan;  Chen, Yan;  Wu, Jingya;  Zhang, Yu;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
Database  Hardware  software co-design  Heterogeneous system  Analytic query processing  
DRONE: An Efficient Distributed Subgraph-Centric Framework for Processing Large-Scale Power-law Graphs 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 2, 页码: 463-474
作者:  Zhang, Shuai;  Jiang, Zite;  Hou, Xingzhong;  Li, Mingyu;  Yuan, Mengting;  You, Haihang
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Fault tolerance  graph partition  large-scale power-law graph  parallel graph computation  subgraph-centric model  
An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140
作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei
收藏  |  浏览/下载：36/0  |  提交时间：2022/12/07
Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression  
Scalable Intra Coding Optimization for Video Coding 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 7092-7106
作者:  Zhang, Jiaqi;  Wang, Meng;  Jia, Chuanmin;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Encoding  Complexity theory  Optimization  Standards  Transforms  Electronic mail  Urban areas  AVS3  block partition  inherited information  intra coding optimization  
Efficiently Inferring Top-k Largest Monitoring Data Entries Based on Discrete Tensor Completion 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2021, 卷号: 29, 期号: 6, 页码: 2737-2750
作者:  Tian, Jiazheng;  Xie, Kun;  Wang, Xin;  Xie, Gaogang;  Li, Kenli;  Wen, Jigang;  Zhang, Dafang;  Cao, Jiannong
收藏  |  浏览/下载：28/0  |  提交时间：2022/06/21
Top-k largest entry inference  tensor completion  
LOPE: A Low-Overhead Payment Verification Method for Blockchains 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2021, 卷号: 30, 期号: 2, 页码: 349-358
作者:  Ying Zhang;  Zhengyuan He;  Linpeng Jia;  Donghui Ding;  Hanwen Zhang;  Yi Sun
收藏  |  浏览/下载：44/0  |  提交时间：2021/12/01
Blockchain  Light client  Low‐  overhead  Payment verification  
Multiset Feature Learning for Highly Imbalanced Data Classification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 1, 页码: 139-156
作者:  Jing, Xiao-Yuan;  Zhang, Xinyu;  Zhu, Xiaoke;  Wu, Fei;  You, Xinge;  Gao, Yang;  Shan, Shiguang;  Yang, Jing-Yu
收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01
Highly imbalanced data classification  multiset feature learning  deep metric learning  generative adversarial network  cost-sensitive factor  weighted uncorrelated constraint  
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation 期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 页码: 18
作者:  Lue, Yongchun;  Zeng, Xiangrui;  Tian, Xinhui;  Shi, Xiao;  Wang, Hui;  Zheng, Xiaohui;  Liu, Xiaodong;  Zhao, Xiaofang;  Gao, Xin;  Xu, Min
收藏  |  浏览/下载：58/0  |  提交时间：2020/12/10
3D local Fourier shell correlation  3D local resolution map  Key-value data  Spark  3D array partition  
HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 6, 页码: 1167-1184
作者:  Ren, Rui;  Cheng, Jiechao;  He, Xi-Wen;  Wang, Lei;  Zhan, Jian-Feng;  Gao, Wan-Ling;  Luo, Chun-Jie
收藏  |  浏览/下载：45/0  |  提交时间：2020/12/10
Big Data system  spatio-temporal correlation  rule-based diagnosis  machine learning