Shujian Yu

Shujian Yu

University of Florida

H-index: 18

North America-United States

About Shujian Yu

Shujian Yu, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Florida, specializes in the field of machine learning, information theory, signal processing.

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

Discovering common information in multi-view data

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping

Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis

R2-trans: Fine-grained visual categorization with redundancy reduction

Cauchy-Schwarz Divergence Information Bottleneck for Regression

DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning

The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

Shujian Yu Information

University

Position

; NEC Laboratories Europe

Citations(all)

1320

Citations(since 2020)

1129

Cited By

592

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

33

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Shujian Yu Skills & Research Interests

machine learning

information theory

signal processing

Top articles of Shujian Yu

Title

Journal

Author(s)

Publication Date

Discovering common information in multi-view data

Information Fusion

Qi Zhang

Mingfei Lu

Shujian Yu

Jingmin Xin

Badong Chen

2024/4/4

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping

NeuroImage

Kaizhong Zheng

Shujian Yu

Liangjun Chen

Lujuan Dang

Badong Chen

2024/4/1

Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis

arXiv preprint arXiv:2301.01642

Kaizhong Zheng

Shujian Yu

Badong Chen

2023/1/4

R2-trans: Fine-grained visual categorization with redundancy reduction

Image and Vision Computing

Shuo Ye

Shujian Yu

Yu Wang

Xinge You

2024/3/1

Cauchy-Schwarz Divergence Information Bottleneck for Regression

Shujian Yu

Xi Yu

Sigurd Løkse

Robert Jenssen

Jose C Principe

2023/10/13

DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning

Changkyu Choi

Shujian Yu

Michael Kampffmeyer

Arnt-Børre Salberg

Nils Olav Handegard

...

2024/4/14

The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization

Proceedings of the AAAI Conference on Artificial Intelligence

Shujian Yu

2023/6/26

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

arXiv preprint arXiv:2312.04960

Xiaoyun Xu

Shujian Yu

Jingzheng Wu

Stjepan Picek

2023/12/8

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy

IEEE Transactions on Signal Processing

Tieliang Gong

Yuxin Dong

Shujian Yu

Bo Dong

2022

Multiscale principle of relevant information for hyperspectral image classification

Machine Learning

Yantao Wei

Shujian Yu

Luis Sanchez Giraldo

José C Príncipe

2023/4

Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective

Kaizhong Zheng

Shujian Yu

Badong Chen

2023/6/4

Aberrant High-Order Dependencies in Schizophrenia Resting-State Functional MRI Networks

arXiv preprint arXiv:2310.17445

Qiang Li

Vince D Calhoun

Adithya Ram Ballem

Shujian Yu

Jesus Malo

...

2023/10/26

Optimal Randomized Approximations for Matrix-based Rényi’s Entropy

IEEE Transactions on Information Theory

Yuxin Dong

Tieliang Gong

Shujian Yu

Chen Li

2023/3/21

Sequential Invariant Information Bottleneck

Yichen Zhang

Shujian Yu

Badong Chen

2023/6/4

Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization

Computer Vision and Image Understanding

Shuo Ye

Shujian Yu

Wenjin Hou

Yu Wang

Xinge You

2023/12/1

Selective imputation for multivariate time series datasets with missing values

IEEE Transactions on Knowledge and Data Engineering

Ane Blázquez-García

Kristoffer Wickstrøm

Shujian Yu

Karl Øyvind Mikalsen

Ahcene Boubekki

...

2023/1/31

Towards a More Stable and General Subgraph Information Bottleneck

Hongzhi Liu

Kaizhong Zheng

Shujian Yu

Badong Chen

2023/6/4

Continual Invariant Risk Minimization

arXiv preprint arXiv:2310.13977

Francesco Alesiani

Shujian Yu

Mathias Niepert

2023/10/21

Higher-order organization in the human brain from matrix-based rényi’s entropy

arXiv preprint arXiv:2303.11994

Qiang Li

Shujian Yu

Kristoffer H Madsen

Vince D Calhoun

Armin Iraji

2023/3/21

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making

arXiv preprint arXiv:2301.08970

Shujian Yu

Hongming Li

Sigurd Løkse

Robert Jenssen

José C Príncipe

2023/1/21

See List of Professors in Shujian Yu University(University of Florida)

Co-Authors

academic-engine