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Few-shot image classification via hybrid representation
Journal article
Liu, Bao Di, Shao, Shuai, Zhao, Chunyan, Xing, Lei, Liu, Weifeng, Cao, Weijia, Zhou, Yicong. Few-shot image classification via hybrid representation[J]. Pattern Recognition, 2024, 155, 110640.
Authors:
Liu, Bao Di
;
Shao, Shuai
;
Zhao, Chunyan
;
Xing, Lei
;
Liu, Weifeng
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
7.5
/
7.6
|
Submit date:2024/07/04
Few-shot Image Classification
Shared Representation
Specific Representation
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning
Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:
Ou, Zhongxi
;
Zhang, Liang
;
Zhao, Xiaoyan
;
Lan, Wei
;
Liu, Dundun
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/09/03
Advantage Actor-critic
Deep Reinforcement Learning
Distribution Network Expansion
Markov Decision Process
Study on Improving the Performance of Traditional Medicine Extracts with High Drug Loading Based on Co-spray Drying Technology
Journal article
Li, Zhe, Peng, Wanghai, Zhu, Lin, Liu, Wenjun, Yang, Lingyu, Chen, Lihua, Naeem, Abid, Zhu, Weifeng, Feng, Yi, Ming, Liangshan. Study on Improving the Performance of Traditional Medicine Extracts with High Drug Loading Based on Co-spray Drying Technology[J]. AAPS PharmSciTech, 2023, 24(8), 247.
Authors:
Li, Zhe
;
Peng, Wanghai
;
Zhu, Lin
;
Liu, Wenjun
;
Yang, Lingyu
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
3.4
/
3.5
|
Submit date:2024/01/02
Co-spray Drying
Core-shell Particles
Mechanism
Porous Core-shell Particles
Porous Particles
RAN: Region-Aware Network for Remote Sensing Image Super-Resolution
Journal article
Liu, Baodi, Zhao, Lifei, Shao, Shuai, Liu, Weifeng, Tao, Dapeng, Cao, Weijia, Zhou, Yicong. RAN: Region-Aware Network for Remote Sensing Image Super-Resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5408113.
Authors:
Liu, Baodi
;
Zhao, Lifei
;
Shao, Shuai
;
Liu, Weifeng
;
Tao, Dapeng
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
7.5
/
7.6
|
Submit date:2024/02/22
Attention Mechanism
Contrastive Learning
Graph Neural Network
Remote Sensing (Rs) Image Super-resolution (Sr)
Self-Paced Hard Task-Example Mining for Few-Shot Classification
Journal article
Xu, Renjie, Yang, Xinghao, Yao, Xingxing, Tao, Dapeng, Cao, Weijia, Lu, Xiaoping, Liu, Weifeng. Self-Paced Hard Task-Example Mining for Few-Shot Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(10), 5631-5644.
Authors:
Xu, Renjie
;
Yang, Xinghao
;
Yao, Xingxing
;
Tao, Dapeng
;
Cao, Weijia
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
2
IF:
8.3
/
7.1
|
Submit date:2023/11/01
Curriculum Learning
Few-shot Learning
Hard Example Mining
Optimal Transport
Task Measuring
Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution
Journal article
Wang, Xiaobin, Jiang, Wenzong, Xing, Lei, Shao, Shuai, Liu, Weifeng, Wang, Yanjiang, Cao, Weijia, Liu, Baodi, Zhou, Yicong. Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution[J]. International Journal of Remote Sensing, 2023, 44(18), 5597-5627.
Authors:
Wang, Xiaobin
;
Jiang, Wenzong
;
Xing, Lei
;
Shao, Shuai
;
Liu, Weifeng
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
3.0
/
3.3
|
Submit date:2024/02/22
Image Super-resolution
Kernel Estimation
Masked Interpolation Loss
Multi-scale Feature Fusion
Remote Sensing
Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries
Journal article
Xu, Renjie, Xing, Lei, Liu, Baodi, Tao, Dapeng, Cao, Weijia, Liu, Weifeng. Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries[J]. Pattern Recognition, 2023, 144, 109811.
Authors:
Xu, Renjie
;
Xing, Lei
;
Liu, Baodi
;
Tao, Dapeng
;
Cao, Weijia
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
6
IF:
7.5
/
7.6
|
Submit date:2023/09/21
Collaborative Representation
Cross-domain
Dictionary Learning
Few-shot Learning
Impact of Pressure Wire on Fractional Flow Reserve and Hemodynamics of the Coronary Arteries: A Computational and Clinical Study
Journal article
Yan, Zhengzheng, Yao, Zhifeng, Guo, Weifeng, Shang, Dandan, Chen, Rongliang, Liu, Jia, Cai, Xiao Chuan, Ge, Junbo. Impact of Pressure Wire on Fractional Flow Reserve and Hemodynamics of the Coronary Arteries: A Computational and Clinical Study[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 70(5), 1683-1691.
Authors:
Yan, Zhengzheng
;
Yao, Zhifeng
;
Guo, Weifeng
;
Shang, Dandan
;
Chen, Rongliang
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
4
IF:
4.4
/
4.8
|
Submit date:2023/01/30
Cardiovascular Physiology
Computational Fluid Dynamics
Coronary Artery Disease
Fractional Flow Reserve
Pressure Wire
Attention-based Multi-View Feature Collaboration for Decoupled Few-Shot Learning
Journal article
Shao, Shuai, Xing, Lei, Wang, Yanjiang, Liu, Baodi, Liu, Weifeng, Zhou, Yicong. Attention-based Multi-View Feature Collaboration for Decoupled Few-Shot Learning[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 33(5), 2357-2369.
Authors: ; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
2
IF:
8.3
/
7.1
|
Submit date:2023/01/30
Decoupled Few-shot Learning
Feature Extraction Model
Loss-attention Block
Self-attention Block
Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification
Journal article
Li, Xuefei, Cao, Weijia, Zhang, Kai, Liu, Baodi, Tao, Dapeng, Liu, Weifeng. Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 6012905.
Authors:
Li, Xuefei
;
Cao, Weijia
;
Zhang, Kai
;
Liu, Baodi
;
Tao, Dapeng
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.0
/
4.4
|
Submit date:2023/01/30
Hyperspectral Image (Hsi) Classification
Interaction Information
Loss Fusion
Multiview Learning (Mvl)