Lunke Fei

About Lunke Fei

Lunke Fei, With an exceptional h-index of 34 and a recent h-index of 33 (since 2020), a distinguished researcher at Guangdong University of Technology, specializes in the field of Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hand-based multimodal biometric fusion: A review

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures

Scalable Discrete and Asymmetric Unequal Length Hashing Learning for Cross-Modal Retrieval

Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval

Dense Hybrid Attention Network for Palmprint Image Super-Resolution

Mask-guided multiscale feature aggregation network for hand gesture recognition

Adaptive affinity matrix learning for dimensionality reduction

Joint multi-type feature learning for multi-modality FKP recognition

Lunke Fei Information

University

Position

___

Citations(all)

5406

Citations(since 2020)

5053

Cited By

1636

hIndex(all)

34

hIndex(since 2020)

33

i10Index(all)

60

i10Index(since 2020)

59

Email

University Profile Page

Google Scholar

Lunke Fei Skills & Research Interests

Pattern Recognition

Top articles of Lunke Fei

Hand-based multimodal biometric fusion: A review

2024/4/12

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Scalable Discrete and Asymmetric Unequal Length Hashing Learning for Cross-Modal Retrieval

IEEE Transactions on Multimedia

2024/3/5

Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval

Neurocomputing

2024/1/14

Dense Hybrid Attention Network for Palmprint Image Super-Resolution

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2024/1/10

Mask-guided multiscale feature aggregation network for hand gesture recognition

Pattern Recognition

2024/1/1

Adaptive affinity matrix learning for dimensionality reduction

International Journal of Machine Learning and Cybernetics

2023/12

Lin Jiang
Lin Jiang

H-Index: 30

Lunke Fei
Lunke Fei

H-Index: 21

Joint multi-type feature learning for multi-modality FKP recognition

Engineering Applications of Artificial Intelligence

2023/11/1

Lunke Fei
Lunke Fei

H-Index: 21

Selected confidence sample labeling for domain adaptation

Neurocomputing

2023/10/28

Localized and Balanced Efficient Incomplete Multi-view Clustering

2023/10/26

Incomplete Multi-View Clustering with Regularized Hierarchical Graph

2023/10/26

Delay-Aware and Energy-Efficient Task Offloading Based on Adaptive Large Neighborhood Search

2023/10/1

Qinghua Zhu
Qinghua Zhu

H-Index: 60

Lunke Fei
Lunke Fei

H-Index: 21

Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-view Clustering

IEEE Transactions on Circuits and Systems for Video Technology

2023/9/22

Balance guided incomplete multi-view spectral clustering

Neural Networks

2023/9/1

Sparse Graph Hashing with Spectral Regression

2023/8/28

Lunke Fei
Lunke Fei

H-Index: 21

Jie Wen
Jie Wen

H-Index: 1

Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network

IEEE Transactions on Circuits and Systems for Video Technology

2023/8/7

Contactless Palmprint Image Recognition across Smartphones with Self-paced CycleGAN

IEEE Transactions on Information Forensics and Security

2023/8/3

Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition

Pattern Recognition Letters

2023/8/1

Tensorized incomplete multi-view clustering with intrinsic graph completion

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Jie Wen
Jie Wen

H-Index: 1

Lunke Fei
Lunke Fei

H-Index: 21

Deep double incomplete multi-view multi-label learning with incomplete labels and missing views

IEEE Transactions on Neural Networks and Learning Systems

2023/3/29

See List of Professors in Lunke Fei University(Guangdong University of Technology)

Co-Authors

academic-engine