Lu Bai

About Lu Bai

Lu Bai, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Central University of Finance and Economics, specializes in the field of Machine Learning, Pattern Recognition, Quantum Walk, Computer Vision, Deep Learning.

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

SSHPool: The Separated Subgraph-based Hierarchical Pooling

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

QBER: Quantum-based Entropic Representations for un-attributed graphs

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification

Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction

Metalantis: A Comprehensive Underwater Image Enhancement Framework

Check for updates C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling

Lu Bai Information

University

Position

Beijing China; University of York York UK

Citations(all)

1680

Citations(since 2020)

1245

Cited By

977

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

47

i10Index(since 2020)

39

Email

University Profile Page

Central University of Finance and Economics

Google Scholar

View Google Scholar Profile

Lu Bai Skills & Research Interests

Machine Learning

Pattern Recognition

Quantum Walk

Computer Vision

Deep Learning

Top articles of Lu Bai

Title

Journal

Author(s)

Publication Date

SSHPool: The Separated Subgraph-based Hierarchical Pooling

arXiv preprint arXiv:2403.16133

Zhuo Xu

Lixin Cui

Yue Wang

Hangyuan Du

Lu Bai

...

2024/3/24

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

arXiv preprint arXiv:2403.16130

Feifei Qian

Lixin Cui

Yue Wang

Hangyuan Du

Lu Bai

...

2024/3/24

QBER: Quantum-based Entropic Representations for un-attributed graphs

Pattern Recognition

Lixin Cui

Ming Li

Lu Bai

Yue Wang

Jing Li

...

2024/1/1

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification

IEEE Transactions on Knowledge and Data Engineering

Lu Bai

Lixin Cui

Yue Wang

Ming Li

Jing Li

...

2024/4/16

Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

arXiv preprint arXiv:2403.16227

Jing Li

Lu Bai

Bin Yang

Chang Li

Lingfei Ma

...

2024/3/24

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction

Information Fusion

Ming Li

Xiaosheng Zhuang

Lu Bai

Weiping Ding

2024/5/1

Metalantis: A Comprehensive Underwater Image Enhancement Framework

IEEE Transactions on Geoscience and Remote Sensing

Hao Wang

Weibo Zhang

Lu Bai

Peng Ren

2024/4/12

Check for updates C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling

Graph-Based Representations in Pattern Recognition: 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings

Rongji Ye¹

Lixin Cui¹ İD Luca Rossi

Yue Wang¹

Zhuo Xu¹

Lu Bai

...

2023/8/23

Sharpening clinical decision support alert and reminder designs with MINDSPACE: A systematic review

Sarang Hashemi

Lu Bai

Shijia Gao

Frada Burstein

Kate Renzenbrink

2023/11/2

Graph Representation Learning for Infrared and Visible Image Fusion

arXiv preprint arXiv:2311.00291

Jing Li

Lu Bai

Bin Yang

Chang Li

Lingfei Ma

...

2023/11/1

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

IEEE Transactions on Knowledge and Data Engineering

Yue Wang

Yao Wan

Lu Bai

Lixin Cui

Zhuo Xu

...

2023/6/27

Pre-clustering active learning method for automatic classification of building structures in urban areas

Engineering Applications of Artificial Intelligence

Peng Zhou

Tongxin Zhang

Liwen Zhao

Yifan Qi

Yuan Chang

...

2023/8

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks

arXiv preprint arXiv:2303.03396

Lixin Cui

Ming Li

Yue Wang

Lu Bai

Edwin R Hancock

2023/3/4

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling

Rongji Ye

Lixin Cui

Luca Rossi

Yue Wang

Zhuo Xu

...

2023/8/24

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation

Pattern Recognition

Ming Li

Lin Zhang

Lixin Cui

Lu Bai

Zhao Li

...

2023/12/1

A Study of the Contextual Factors Influencing Emergency Department Clinician’s Diagnostic Test Ordering Decision Making

Lu Bai

Shijia Gao

Frada Burstein

Paul Buntine

2022

Multiple pedestrian tracking with graph attention map on urban road scene

IEEE Transactions on Intelligent Transportation Systems

Zhihui Wang

Zhiyuan Li

Jiaxu Leng

Ming Li

Lu Bai

2022/8/1

QESK: Quantum-based Entropic Subtree Kernels for Graph Classification

arXiv preprint arXiv:2212.05228

Lu Bai

Lixin Cui

Edwin R Hancock

2022/12/10

A hierarchical transitive-aligned graph kernel for un-attributed graphs

Lu Bai

Lixin Cui

Hancock Edwin

2022/6/28

Abdpool: Attention-based differentiable pooling

Yue Liu

Lixin Cui

Yue Wang

Lu Bai

2022/8/21

See List of Professors in Lu Bai University(Central University of Finance and Economics)

Co-Authors

H-index: 99
Horst Bunke

Horst Bunke

Universität Bern

H-index: 37
Andrea TORSELLO

Andrea TORSELLO

Università Ca' Foscari di Venezia

H-index: 25
Francisco Escolano Ruiz

Francisco Escolano Ruiz

Universidad de Alicante

H-index: 20
Luca Rossi

Luca Rossi

Queen Mary University of London

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