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Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features
Conference paper
Sun, Yanming, Liu, Xuebo, Wong, Derek F., Lin, Yuchu, Li, Bei, Zhan, Runzhe, Chao, Lidia S., Zhang, Min. Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features[C]:Springer Science and Business Media Deutschland GmbH, 2025, 227-239.
Authors:
Sun, Yanming
;
Liu, Xuebo
;
Wong, Derek F.
;
Lin, Yuchu
;
Li, Bei
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2025/01/22
Encoder Depth
Low-resource Neural Machine Translation
Shallow Features
Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis
Journal article
Zhang, Tian, Du, Cuifeng, Zhou, Yuyu, Guan, Quanlong, Liu, Zhiquan, Huang, Xiujie, Gong, Zhiguo, Deng, Lianbing, Li, Yang. Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis[J]. IEEE Internet of Things Journal, 2024.
Authors:
Zhang, Tian
;
Du, Cuifeng
;
Zhou, Yuyu
;
Guan, Quanlong
;
Liu, Zhiquan
; et al.
Favorite
|
TC[Scopus]:
0
IF:
8.2
/
9.0
|
Submit date:2025/01/13
Intelligent Vehicle Intrusion Detection
Transformer
Transfer Learning
Spatiotemporal Sequence Features
Self-supervised Box Classification
Cross Dense Feature Learning with Task Guidance for Few-Shot Classification
Journal article
Zhang, Qi, Chen, Long, Shang, Wanfeng. Cross Dense Feature Learning with Task Guidance for Few-Shot Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
Authors: ; et al.
Favorite
|
TC[Scopus]:
0
IF:
8.3
/
7.1
|
Submit date:2024/12/05
Few-shot Classification
Dense Features
Transformer
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks
Journal article
Han, Wencheng, Dong, Xingping, Zhang, Yiyuan, Crandall, David, Xu, Cheng Zhong, Shen, Jianbing. Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(11), 7363-7376.
Authors:
Han, Wencheng
;
Dong, Xingping
;
Zhang, Yiyuan
;
Crandall, David
;
Xu, Cheng Zhong
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
20.8
/
22.2
|
Submit date:2024/06/05
Asymmetric Convolution
Feature Maps
Fusing Features
Vision Tasks
Adversarial de-overlapping learning machines for supervised and semi-supervised learning
Journal article
Sun, Yichen, Vong, Chi Man, Wang, Shitong. Adversarial de-overlapping learning machines for supervised and semi-supervised learning[J]. International Journal of Machine Learning and Cybernetics, 2024.
Authors:
Sun, Yichen
;
Vong, Chi Man
;
Wang, Shitong
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
3.1
/
3.6
|
Submit date:2024/11/05
Class Overlapping
Imbalanced Classification
Random Fourier Features
Semi-supervised Learning
Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN
Journal article
Liu, Xiangyong, Chen, Zhixin, Xu, Zhiqiang, Zheng, Ziwei, Ma, Fengshuang, Wang, Yunjie. Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN[J]. Journal of Marine Science and Engineering, 2024, 12(9), 1467.
Authors:
Liu, Xiangyong
;
Chen, Zhixin
;
Xu, Zhiqiang
;
Zheng, Ziwei
;
Ma, Fengshuang
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
2.7
/
2.8
|
Submit date:2024/10/10
Image Enhancement
Local Features
Global Features
Parallel Fusion
Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering
Journal article
Ye, Zhijing, Zhang, Liming, Zheng, Chengyong, Peng, Jiangtao, Benediktsson, Jon Atli. Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5525814.
Authors:
Ye, Zhijing
;
Zhang, Liming
;
Zheng, Chengyong
;
Peng, Jiangtao
;
Benediktsson, Jon Atli
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
7.5
/
7.6
|
Submit date:2024/09/03
Edge-preserving Features (Epfs)
Hyperspectral Image (Hsi)
Small-sample Classification
Smooth Ordering
Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs
Journal article
Tan, Xiaorong, Liu, Qianhui, Fang, Yanpeng, Yang, Sen, Chen, Fei, Wang, Jianmin, Ouyang, Defang, Dong, Jie, Zeng, Wenbin. Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs[J]. Briefings in Bioinformatics, 2024, 25(4), bbae350.
Authors:
Tan, Xiaorong
;
Liu, Qianhui
;
Fang, Yanpeng
;
Yang, Sen
;
Chen, Fei
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
6.8
/
7.9
|
Submit date:2024/08/05
Drug Design
Enzymatic Cleavage Features
Half-life
Machine Learning
Peptide Drugs
Transfer Learning
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction
Journal article
Xiao, Ling, An, Ruofan, Zhang, Xue. A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction[J]. Processes, 2024, 12(4), 793.
Authors:
Xiao, Ling
;
An, Ruofan
;
Zhang, Xue
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
2.8
/
3.0
|
Submit date:2024/05/16
Deep Learning Model
Multiple Features
Power Load Forecasting
Transfer Learning
English in Hong Kong and Macau
Book chapter
出自: The Oxford Handbook of Southeast Asian Englishes, London:Oxford University Press, 2024, 页码:202-230
Authors:
Bolton, Kingsley
;
Moody, Andrew J.
Favorite
|
TC[Scopus]:
1
|
Submit date:2024/08/05
Expanding Circle
Macau
Outer Circle
Hong Kong
Status And Functions Of English
Societal Multilingualism
Linguistic Features