| 2026 | AIME | AnchorNet: A Clinically Grounded Causal Model for Personalized Medicine. | Louk van Remmerden, Mark Hoogendoorn, Vincent Franois-Lavet, Shujian Yu, Hein van Hout |
| 2026 | NDSS | MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness. | Xiaoyun Xu, Shujian Yu, Zhuoran Liu, Stjepan Picek |
| 2025 | ICASSP | Cauchy-Schwarz Divergence Transfer Entropy. | Zhaozhao Ma, Shujian Yu |
| 2025 | ICASSP | A Hierarchical Taxonomy For Deep State Space Models. | Shiqin Tang, Pengxing Feng, Shujian Yu, Yining Dong, S. Joe Qin |
| 2025 | ICASSP | Deep Dynamic Probabilistic Canonical Correlation Analysis. | Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin |
| 2025 | ICLR | Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods. | Buelent Uendes, Shujian Yu, Mark Hoogendoorn |
| 2025 | ICML | Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. | Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer |
| 2025 | MICCAI | MvHo-IB: Multi-view Higher-Order Information Bottleneck for Brain Disorder Diagnosis. | Kunyu Zhang, Qiang Li, Shujian Yu |
| 2025 | UAI | InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis. | Shiqin Tang, Shujian Yu |
| 2024 | ICASSP | DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. | Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Brre Salberg, Nils Olav Handegard, Robert Jenssen |
| 2024 | ICLR | Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. | Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li |
| 2024 | ICLR | Cauchy-Schwarz Divergence Information Bottleneck for Regression. | Shujian Yu, Xi Yu, Sigurd Lkse, Robert Jenssen, Jos C. Prncipe |
| 2024 | ICML | Jacobian Regularizer-based Neural Granger Causality. | Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen |
| 2024 | UAI | Domain Adaptation with Cauchy-Schwarz Divergence. | Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves |
| 2023 | AAAI | Robust and Fast Measure of Information via Low-Rank Representation. | Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li |
| 2023 | AAAI | Causal Recurrent Variational Autoencoder for Medical Time Series Generation. | Hongming Li, Shujian Yu, Jos C. Prncipe |
| 2023 | AAAI | The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization. | Shujian Yu |
| 2023 | ECAI | Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. | Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn |
| 2023 | ICASSP | Towards a More Stable and General Subgraph Information Bottleneck. | Hongzhi Liu, Kaizhong Zheng, Shujian Yu, Badong Chen |
| 2023 | ICASSP | Higher-Order Organization in the Human Brain From Matrix-Based Rnyi's Entropy. | Qiang Li, Shujian Yu, Kristoffer H. Madsen, Vince D. Calhoun, Armin Iraji |
| 2023 | ICASSP | Sequential Invariant Information Bottleneck. | Yichen Zhang, Shujian Yu, Badong Chen |
| 2023 | ICASSP | Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective. | Kaizhong Zheng, Shujian Yu, Badong Chen |
| 2022 | AAAI | Learning to Transfer with von Neumann Conditional Divergence. | Ammar Shaker, Shujian Yu, Daniel Ooro-Rubio |
| 2022 | ICASSP | Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. | Hongming Li, Shujian Yu, Jos C. Prncipe |
| 2022 | ICASSP | Multi-View Information Bottleneck Without Variational Approximation. | Qi Zhang, Shujian Yu, Jingmin Xin, Badong Chen |
| 2022 | IDA | Modular-Relatedness for Continual Learning. | Ammar Shaker, Francesco Alesiani, Shujian Yu |
| 2022 | UAI | Principle of relevant information for graph sparsification. | Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jos C. Prncipe |
| 2021 | AAAI | Measuring Dependence with Matrix-based Entropy Functional. | Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jos C. Prncipe |
| 2021 | ICASSP | Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional. | Xi Yu, Shujian Yu, Jos C. Prncipe |
| 2021 | ICDM | Gated Information Bottleneck for Generalization in Sequential Environments. | Francesco Alesiani, Shujian Yu, Xi Yu |
| 2021 | IJCAI | Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities. | Shujian Yu, Luis G. Snchez Giraldo, Jos C. Prncipe |
| 2021 | IJCNN | Bilevel Continual Learning. | Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin |
| 2020 | ICASSP | Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. | Rishabh Singh, Shujian Yu, Jos C. Prncipe |
| 2020 | IJCAI | Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. | Shujian Yu, Ammar Shaker, Francesco Alesiani, Jos C. Prncipe |
| 2020 | IJCNN | Online Meta-Forest for Regression Data Streams. | Ammar Shaker, Christoph Grtner, Xiao He, Shujian Yu |
| 2018 | IJCAI | Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. | Shujian Yu, Xiaoyang Wang, Jos C. Prncipe |
| 2017 | ICASSP | Robust linear discriminant analysis with a Laplacian assumption on projection distribution. | Shujian Yu, Zheng Cao, Xiubao Jiang |
| 2017 | ICASSP | Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. | Shujian Yu, Matthew Emigh, Eder Santana, Jos C. Prncipe |
| 2017 | SDM | Concept Drift Detection with Hierarchical Hypothesis Testing. | Shujian Yu, Zubin Abraham |
| 2016 | IJCNN | Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction. | Zheng Cao, Shujian Yu, Guibiao Xu, Badong Chen, Jos C. Prncipe |
| 2015 | ICONIP | Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition. | Weihua Ou, Gai Li, Shujian Yu, Gang Xie, Fujia Ren, Yuanyan Tang |
| 2015 | ICONIP | Webcam-Based Visual Gaze Estimation Under Desktop Environment. | Shujian Yu, Weihua Ou, Xinge You, Xiubao Jiang, Yun Zhu, Yi Mou, Weigang Guo, Yuanyan Tang, C. L. Philip Chen |
| 2015 | ICONIP | Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations. | Shujian Yu, Xinge You, Xiubao Jiang, Weihua Ou, Ziqi Zhu, Yixiao Zhao, C. L. Philip Chen, Yuanyan Tang |
| 2015 | IJCNN | Kernel normalized mixed-norm algorithm for system identification. | Shujian Yu, Xinge You, Kexin Zhao, Weihua Ou, Yuanyan Tang |
| 2015 | SMC | Dynamic Texture Synthesis via Image Reconstruction. | Weigang Guo, Xinge You, Ziqi Zhu, Weiyong Xue, Shujian Yu, Xiubao Jiang |
| 2015 | SMC | Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement. | Shujian Yu, Xinge You, Xiubao Jiang, Kexin Zhao, Yi Mou, Weihua Ou, Yuanyan Tang, C. L. Philip Chen |
| 2014 | ISNN | Content-Adaptive Rain and Snow Removal Algorithms for Single Image. | Shujian Yu, Yixiao Zhao, Yi Mou, Jinghui Wu, Lu Han, Xiaopeng Yang, Baojun Zhao |
| 2014 | ISNN | Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery. | Yixiao Zhao, Shujian Yu, Jinghui Wu, Lu Han, Zijing Chen, Xiaopeng Yang, Baojun Zhao |