×
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... [13]
THE STATE KEY LA... [7]
INSTITUTE OF COL... [2]
Authors
YANG ZHIXIN [2]
WU HAIYAN [2]
GONG ZHIGUO [1]
VONG CHI MAN [1]
WONG FAI [1]
ZHOU JIANTAO [1]
More...
Document Type
Journal article [16]
Conference paper [4]
Date Issued
2024 [5]
2023 [6]
2022 [1]
2021 [4]
2017 [2]
2015 [1]
More...
Language
英語English [19]
Source Publication
Annals of the Ne... [2]
2024 IEEE/CIC IN... [1]
ACM Computing Su... [1]
ACM Transactions... [1]
ADVANCED ENGINEE... [1]
Advanced Enginee... [1]
More...
Indexed By
SCIE [11]
CPCI-S [1]
ESCI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-10 of 20
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
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Point Cloud Compression with Implicit Neural Representations: A Unified Framework
Conference paper
Ruan, Hongning, Shao, Yulin, Yang, Qianqian, Zhao, Liang, Niyato, Dusit. Point Cloud Compression with Implicit Neural Representations: A Unified Framework[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1709-1714.
Authors:
Ruan, Hongning
;
Shao, Yulin
;
Yang, Qianqian
;
Zhao, Liang
;
Niyato, Dusit
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/11/05
Point Cloud Compression
Geometry
Learning Systems
Three-dimensional Displays
Quantization (Signal)
Neural Networks
Rate-distortion
Point Cloud Compression
Implicit Neural Representation
Neural Network Compression
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification
Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:
Cheng, Chunbo
;
Zhang, Liming
;
Li, Hong
;
Cui, Wenjing
;
Gao, Junbin
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.5
/
7.6
|
Submit date:2024/08/05
Convolutional Neural Network (Cnn)
Deep High-order Tensor Sparse Representation (Sr)
Deep Learning
Graph-based Learning (Gsl)
Hyperspectral Image (Hsi) Classification
Informative Nodes Mining for Class-Imbalanced Representation Learning
Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:
Zhou, Mengting
;
Gong, Zhiguo
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.5
/
4.6
|
Submit date:2024/05/16
Class Imbalanced Learning
Costs
Graph Neural Network (Gnn)
Graph Neural Networks
Node Classification
Representation Learning
Social Networking (Online)
Task Analysis
Training
Training Data
The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding
Journal article
Quan, Zhibin, Vong, Chi Man, Zeng, Weili, Yang, Wankou. The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding[J]. IEEE/ACM Transactions on Audio Speech and Language Processing, 2024, 32, 1673-1686.
Authors:
Quan, Zhibin
;
Vong, Chi Man
;
Zeng, Weili
;
Yang, Wankou
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.1
/
4.2
|
Submit date:2024/05/16
Addressable Neural Memory
Contextualized Embedding
External Memory
Pre-trained Language Model
Representation Learning
A Survey on Hypergraph Representation Learning
Journal article
Antelmi, Alessia, Cordasco, Gennaro, Polato, Mirko, Scarano, Vittorio, Spagnuolo, Carmine, Yang, Dingqi. A Survey on Hypergraph Representation Learning[J]. ACM Computing Surveys, 2024, 56(1), 24.
Authors:
Antelmi, Alessia
;
Cordasco, Gennaro
;
Polato, Mirko
;
Scarano, Vittorio
;
Spagnuolo, Carmine
; et al.
Favorite
|
TC[WOS]:
35
TC[Scopus]:
39
IF:
23.8
/
21.1
|
Submit date:2023/08/12
Hypergraph Representation Learning
Hypergraph Embedding
Hypergraph Neural Networks
Hypergraph Convolution
Hypergraph Attention
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network
Conference paper
Chen, Junyang, Wang, Jialong, Dai, Zhijiang, Wu, Huisi, Wang, Mengzhu, Zhang, Qin, Wang, Huan. Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network[C]:Association for Computing Machinery, Inc, 2023, 966-974.
Authors:
Chen, Junyang
;
Wang, Jialong
;
Dai, Zhijiang
;
Wu, Huisi
;
Wang, Mengzhu
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
3
|
Submit date:2024/01/10
Neural Variational Inference
Transferable Representation Learning
Zero-shot Micro-video Classification
Collaborative representation induced broad learning model for classification
Journal article
Zhang,Qi, Zhou,Jianhang, Xu,Yong, Zhang,Bob. Collaborative representation induced broad learning model for classification[J]. Applied Intelligence, 2023, 53(20), 23442–23456.
Authors:
Zhang,Qi
;
Zhou,Jianhang
;
Xu,Yong
;
Zhang,Bob
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
3.4
/
3.9
|
Submit date:2023/08/03
Broad Learning
Classification
Collaborative Representation
Neural Network
Pattern Recognition
Deep Parameterized Neural Networks for Hyperspectral Image Denoising
Journal article
Xiong, Fengchao, Zhou, Jun, Zhou, Jiantao, Lu, Jianfeng, Qian, Yuntao. Deep Parameterized Neural Networks for Hyperspectral Image Denoising[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61, 5525015.
Authors:
Xiong, Fengchao
;
Zhou, Jun
;
Zhou, Jiantao
;
Lu, Jianfeng
;
Qian, Yuntao
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
IF:
7.5
/
7.6
|
Submit date:2024/02/22
Convolutional Neural Networks
Hyperspectral Image (Hsi) Denoising
Learning To Optimize (L2o)
Sparse Representation (Sr)
Social conformity is associated with inter-trial electroencephalogram variability
Journal article
Zhang, Haoming, Zhang, Kunkun, Zhang, Ziqi, Zhao, Mingqi, Liu, Quanying, Luo, Wenbo, Wu, Haiyan. Social conformity is associated with inter-trial electroencephalogram variability[J]. Annals of the New York Academy of Sciences, 2023, 1523(1), 104-118.
Authors:
Zhang, Haoming
;
Zhang, Kunkun
;
Zhang, Ziqi
;
Zhao, Mingqi
;
Liu, Quanying
; et al.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
5
IF:
4.1
/
6.3
|
Submit date:2024/01/10
Decision Change
Inter-trial Eeg Variability
Neural Representation
Social Conformity
Social conformity is associated with inter-trial electroencephalogram variability
Journal article
Zhang, Haoming, Zhang, Kunkun, Zhang, Ziqi, Zhao, Mingqi, Liu, Quanying, Luo, Wenbo, Wu, Haiyan. Social conformity is associated with inter-trial electroencephalogram variability[J]. Annals of the New York Academy of Sciences, 2023, 1523(1), 104-118.
Authors:
Zhang, Haoming
;
Zhang, Kunkun
;
Zhang, Ziqi
;
Zhao, Mingqi
;
Liu, Quanying
; et al.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
5
IF:
4.1
/
6.3
|
Submit date:2023/06/05
Decision Change
Inter-trial Eeg Variability
Neural Representation
Social Conformity