Shujian Yu
Feiya Lv,
Borui Yang,
Shujian Yu,
Shengwu Zou,
Xiaolin Wang,
Jinsong Zhao
m.fl.:
A unified model integrating Granger causality-based causal discovery and fault diagnosis in chemical processes
Computers and Chemical Engineering 2025
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Jose Principe
:
Cauchy-Schwarz Divergence Information Bottleneck for Regression
International Conference on Learning Representations 2024
Kaizhong Zheng,
Shujian Yu,
Badong Chen
:
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Neural Networks 2024
Shuo Ye,
Shujian Yu,
Yu Wang,
Xinge You
:
R2-trans: Fine-grained visual categorization with redundancy reduction
Image and Vision Computing 2024
Kaizhong Zheng,
Shujian Yu,
Liangjun Chen,
Lujuan Dang,
Badong Chen
:
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
NeuroImage 2024 /
Qi Zhang,
Mingfei Lu,
Shujian Yu,
Jingmin Xin,
Badong Chen
:
Discovering common information in multi-view data
Information Fusion 2024
Changkyu Choi,
Shujian Yu,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg,
Nils Olav Handegard,
Robert Jenssen
:
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2024 /
Kaizhong Zheng,
Shujian Yu,
Baojuan Li,
Robert Jenssen,
Badong Chen
:
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
IEEE Transactions on Neural Networks and Learning Systems 2024 /
Feiya Lv,
Shujian Yu,
Huawei Ye,
Jinsong Zhao,
Chenglin Wen
:
Incipient fault detection and isolation with Cauchy–Schwarz divergence: A probabilistic approach
Journal of the Franklin Institute 2024 /
Kristoffer Wickstrøm,
Sigurd Eivindson Løkse,
Michael Kampffmeyer,
Shujian Yu,
José C. PrÃncipe,
Robert Jenssen
:
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
Entropy 2023 /
Yuxin Dong,
Tieliang Gong,
Shujian Yu,
Chen Li
:
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy
IEEE Transactions on Information Theory 2023
Tieliang Gong,
Yuxin Dong,
Shujian Yu,
Bo Dong
:
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy
IEEE Transactions on Signal Processing 2023
Ane Blazquez-Garcia,
Kristoffer Knutsen Wickstrøm,
Shujian Yu,
Karl Øyvind Mikalsen,
Ahcene Boubekki,
Angel Conde
m.fl.:
Selective Imputation for Multivariate Time Series Datasets with Missing Values
IEEE Transactions on Knowledge and Data Engineering 2023 /
Shuo Ye,
Shujian Yu,
Wenjin Hou,
Yu Wang,
Xinge You
:
Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization
Computer Vision and Image Understanding 2023
Wanqi Zhou,
Shujian Yu,
Badong Chen
:
Causality detection with matrix-based transfer entropy
Information Sciences 2022
Qiang Li,
Greg Ver Steeg,
Shujian Yu,
Jesus Malo
:
Functional Connectome of the Human Brain with Total Correlation
Entropy 2022 /
Francesco Alesiani,
Shujian Yu,
Xi Yu
:
Gated information bottleneck for generalization in sequential environments
Knowledge and Information Systems 2022
Shujian Yu,
Francesco Alesiani,
Wenzhe Yin,
Robert Jenssen,
Jose C. Principe
:
Principle of Relevant Information for Graph Sparsification
Proceedings of Machine Learning Research (PMLR) 2022 /
Robert Jenssen,
Shujian Yu
:
Discrepancies to incorporate
knowledge
2024
Shujian Yu
:
Information-Theoretic Apprchs for Interpretable Brain Network-based Psychiatric Diagnosis
2022
Changkyu Choi,
Shujian Yu,
Michael Kampffmeyer,
Arnt-Børre Salberg,
Nils Olav Handegard,
Suaiba Amina Salahuddin
m.fl.:
Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior
2022
Daniel Johansen Trosten,
Kristoffer Wickstrøm,
Shujian Yu,
Sigurd Eivindson Løkse,
Robert Jenssen,
Michael Kampffmeyer
:
Deep Clustering with the Cauchy-Schwarz Divergence
2022
