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Adjunct Associate Professor / Machine Learning Department of Physics and Technology shujian.yu@uit.no

Shujian Yu



  • Shujian Yu, Sigurd Eivindson Løkse, Robert Jenssen, Jose Principe :
    Cauchy-Schwarz Divergence Information Bottleneck for Regression
    International Conference on Learning Representations 2024 FULLTEKST
  • Shuo Ye, Shujian Yu, Yu Wang, Xinge You :
    R2-trans: Fine-grained visual categorization with redundancy reduction
    Image and Vision Computing 2024 DOI
  • Kaizhong Zheng, Shujian Yu, Liangjun Chen, Lujuan Dang, Badong Chen :
    BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
    NeuroImage 2024 ARKIV / DOI
  • 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 DOI
  • 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 DOI
  • 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 DOI
  • Qi Zhang, Mingfei Lu, Shujian Yu, Jingmin Xin, Badong Chen :
    Discovering common information in multi-view data
    Information Fusion 2024 DOI
  • 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 ARKIV / DOI
  • Kristoffer Wickstrøm, Sigurd Eivindson Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen :
    Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
    Entropy 2023 ARKIV / DOI
  • Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li :
    Optimal Randomized Approximations for Matrix-Based Rényi's Entropy
    IEEE Transactions on Information Theory 2023 DOI
  • Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong :
    Computationally Efficient Approximations for Matrix-Based Rényi's Entropy
    IEEE Transactions on Signal Processing 2023 DOI
  • Ane Blazquez-Garcia, Kristoffer Knutsen Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcene Boubekki, Angel Conde et al.:
    Selective Imputation for Multivariate Time Series Datasets with Missing Values
    IEEE Transactions on Knowledge and Data Engineering 2023 ARKIV / DOI
  • 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 DOI
  • Wanqi Zhou, Shujian Yu, Badong Chen :
    Causality detection with matrix-based transfer entropy
    Information Sciences 2022 DOI
  • Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo :
    Functional Connectome of the Human Brain with Total Correlation
    Entropy 2022 ARKIV / DOI
  • 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 FULLTEKST / DOI
  • Francesco Alesiani, Shujian Yu, Xi Yu :
    Gated information bottleneck for generalization in sequential environments
    Knowledge and Information Systems 2022 DOI
  • 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 et al.:
    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

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