×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scie... [14]
THE STATE KEY LA... [4]
Faculty of Busin... [1]
INSTITUTE OF COL... [1]
Authors
YIBO BOB ZHANG [7]
TANG YUAN YAN [2]
YAN WANGJI [2]
XU HUANLE [2]
YUEN KA VENG [1]
MAK PUI IN [1]
More...
Document Type
Journal article [14]
Conference paper [5]
Date Issued
2024 [3]
2023 [1]
2022 [2]
2021 [3]
2020 [2]
2019 [2]
More...
Language
英語English [19]
Source Publication
Mechanical Syste... [3]
IEEE Transaction... [2]
Applied Energy [1]
Conference Proce... [1]
ICICS 2009 - Con... [1]
ICPP 2022 - Proc... [1]
More...
Indexed By
SCIE [11]
CPCI-S [2]
EI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-10 of 19
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function
Journal article
Mei, Ling Feng, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function[J]. Mechanical Systems and Signal Processing, 2024, 222.
Authors:
Mei, Ling Feng
;
Yan, Wang Ji
;
Yuen, Ka Veng
;
Beer, Michael
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
7.9
/
8.0
|
Submit date:2024/08/30
Bayesian Nonparametric Model
Damage Detection
Streaming Variational Inference
Truncation-free Full Dirichlet Process Gaussian Mixture Model
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes
Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wang Ji. A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes[J]. Mechanical Systems and Signal Processing, 2024, 208, 110968.
Authors:
Ping, Menghao
;
Jia, Xinyu
;
Papadimitriou, Costas
;
Han, Xu
;
Jiang, Chao
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
7.9
/
8.0
|
Submit date:2024/02/22
Hierarchical Bayesian Modeling Framework
Improved Orthogonal Series Expansion
Model Class Selection
Non-gaussian Pdf Estimation
Non-gaussian Process
Polynomial Chaos Expansion
Neurovascular Coupling Analysis Based on Multivariate Variational Gaussian Process Convergent Cross-Mapping
Journal article
Zhu, Renfei, She, Qingshan, Li, Rihui, Tan, Tongcai, Zhang, Yingchun. Neurovascular Coupling Analysis Based on Multivariate Variational Gaussian Process Convergent Cross-Mapping[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32, 1873-1883.
Authors:
Zhu, Renfei
;
She, Qingshan
;
Li, Rihui
;
Tan, Tongcai
;
Zhang, Yingchun
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
4.8
/
5.4
|
Submit date:2024/06/05
Convergent Cross-mapping
Electroencephalography (Eeg)
Functional Near-infrared Spectroscopy (Fnirs)
Multi-output Gaussian Process
Neurovascular Coupling (Nvc)
Working Memory
Cloud Configuration Optimization for Recurring Batch-Processing Applications
Journal article
Liu, Yang, Xu, Huanle, Lau, Wing Cheong. Cloud Configuration Optimization for Recurring Batch-Processing Applications[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(5), 1495-1507.
Authors:
Liu, Yang
;
Xu, Huanle
;
Lau, Wing Cheong
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
5.6
/
4.5
|
Submit date:2023/06/05
Big Data Analytics
Cloud Configuration
Gaussian-process Ucb
Kubernetes
Online Resource Optimization for Elastic Stream Processing with Regret Guarantee
Conference paper
Yang Liu, Xu HL(徐歡樂), Wing Cheong Lau. Online Resource Optimization for Elastic Stream Processing with Regret Guarantee[C]:Association for Computing Machinery, 2022, 1-11.
Authors:
Yang Liu
;
Xu HL(徐歡樂)
;
Wing Cheong Lau
Adobe PDF
|
Favorite
|
TC[WOS]:
0
TC[Scopus]:
3
|
Submit date:2022/08/26
Cloud Computing
Elastic Stream Processing
Gaussian-process Ucb
Kubernetes
Online Optimization
Resource Allocation
Gaussian process image classification based on multi-layer convolution kernel function
Journal article
Xu, Lixiang, Zhou, Biao, Li, Xinlu, Wu, Zhize, Chen, Yan, Wang, Xiaofeng, Tang, Yuanyan. Gaussian process image classification based on multi-layer convolution kernel function[J]. NEUROCOMPUTING, 2022, 480, 99-109.
Authors:
Xu, Lixiang
;
Zhou, Biao
;
Li, Xinlu
;
Wu, Zhize
;
Chen, Yan
; et al.
Favorite
|
TC[WOS]:
8
TC[Scopus]:
11
IF:
5.5
/
5.5
|
Submit date:2022/05/04
Convolution Kernel Function
Gaussian Process
Image Classification
Multi-layer Kernel
Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component
Conference paper
Xindi Ma, Jie Gao, Xiaoyu Liu, Taiping Zhang, Yuan Yan Tang. Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component[C]:IEEE, 2021, 1139-1144.
Authors:
Xindi Ma
;
Jie Gao
;
Xiaoyu Liu
;
Taiping Zhang
;
Yuan Yan Tang
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2022/05/13
Exponential Gaussian Model
Indian Buffet Process
Nonnegative Matrix Factorization
Single Binary Components
Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction
Journal article
Hu, Shuai, Xiang, Yue, Zhang, Hongcai, Xie, Shanyi, Li, Jianhua, Gu, Chenghong, Sun, Wei, Liu, Junyong. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction[J]. Applied Energy, 2021, 293(116951).
Authors:
Hu, Shuai
;
Xiang, Yue
;
Zhang, Hongcai
;
Xie, Shanyi
;
Li, Jianhua
; et al.
Favorite
|
TC[WOS]:
70
TC[Scopus]:
88
IF:
10.1
/
10.4
|
Submit date:2021/09/09
Wind Power Forecasting
Hybrid Model
Gaussian Process
Numerical Weather Prediction
Spatial Correlation
Kernel Function
Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification
Journal article
Li, Jinxing, Lu, Guangming, Zhang, Bob, You, Jane, Zhang, David. Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification[J]. IEEE Transactions on Cybernetics, 2021, 51(2), 534-547.
Authors:
Li, Jinxing
;
Lu, Guangming
;
Zhang, Bob
;
You, Jane
;
Zhang, David
Favorite
|
TC[WOS]:
14
TC[Scopus]:
14
IF:
9.4
/
10.3
|
Submit date:2021/12/07
Classification
Gaussian Process (Gp)
Latent Variable Model
Multikernel
Multiview
Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance
Journal article
Li,Jinxing, Zhang,Bob, Lu,Guangming, Xu,Yong, Wu,Feng, Zhang,David. Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(11), 5093 - 5107.
Authors:
Li,Jinxing
;
Zhang,Bob
;
Lu,Guangming
;
Xu,Yong
;
Wu,Feng
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
3
IF:
10.2
/
10.4
|
Submit date:2021/03/11
Gaussian Process (Gp)
Hamming Distance
Harmonization
Latent Variable
Multiview