Shujian Yu

167 papers A* 16A 5B 7C 2Misc 12Journal 108Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
BrainIB++: Leveraging graph neural networks and information bottleneck for functional brain biomarkers in schizophrenia.
Biomed. Signal Process. Control.
Tianzheng Hu, Qiang Li, Shu Liu, Vince D. Calhoun, Guido van Wingen, Shujian Yu
2026 — conf
CICADA: A Workflow Guidance for Causal Machine Learning in Precision Medicine.
BIOSTEC (3)
Louk van Remmerden, Ilona Baranska, Ameet R. Jagesar, Eline Tankink-Kooijmans, Jitka Pokladníková, Paulina Wisniewska, Daniela Fialová, Emiel Hoogendijk, Karlijn Joling, Katarzyna Szczerbinska, Vincent François-Lavet, Shujian Yu, Mark Hoogendoorn, Hein van Hout
2026 J jnl
Continuous Treatment Effect Estimation with Cauchy-Schwarz Divergence Information Bottleneck.
Trans. Mach. Learn. Res.
Louk van Remmerden, Shiqin Tang, Shujian Yu
2026 J jnl
Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional.
CoRR
Qiang Li, Shujian Yu, Liang Ma, Chen Ma, Jingyu Liu, Tülay Adali, Vince D. Calhoun
2026 J jnl
PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis.
CoRR
Kunyu Zhang, Yanwu Yang, Jing Zhang, Xiangjie Shi, Shujian Yu
2026 J jnl
Towards Uniformity and Alignment for Multimodal Representation Learning.
CoRR
Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves
2026 J jnl
Towards the generalization of multi-view learning: An information-theoretical analysis.
Inf. Fusion
Wen Wen, Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2025 Misc conf
A Hierarchical Taxonomy For Deep State Space Models.
ICASSP
Shiqin Tang, Pengxing Feng, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
A unified model integrating Granger causality-based causal discovery and fault diagnosis in chemical processes.
Comput. Chem. Eng.
Feiya Lv, Borui Yang, Shujian Yu, Shengwu Zou, Xiaolin Wang, Jinsong Zhao, Chenglin Wen
2025 J jnl
Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations.
CoRR
Jakub Frac, Alexander Schmatz, Qiang Li, Guido van Wingen, Shujian Yu
2025 A* conf
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders.
ICML
Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025 J jnl
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders.
CoRR
Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025 J jnl
An information bottleneck approach for feature selection.
Pattern Recognit.
Qi Zhang, Mingfei Lu, Shujian Yu, Jingmin Xin, Badong Chen
2025 J jnl
BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia.
CoRR
Tianzheng Hu, Qiang Li, Shu Liu, Vince D. Calhoun, Guido van Wingen, Shujian Yu
2025 J jnl
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck.
IEEE Trans. Neural Networks Learn. Syst.
Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
2025 Misc conf
Cauchy-Schwarz Divergence Transfer Entropy.
ICASSP
Zhaozhao Ma, Shujian Yu
2025 A* conf
Cross-Modal Retrieval with Cauchy-Schwarz Divergence.
ACM Multimedia
Jiahao Zhang, Wenzhe Yin, Shujian Yu
2025 J jnl
Cross-Modal Retrieval with Cauchy-Schwarz Divergence.
CoRR
Jiahao Zhang, Wenzhe Yin, Shujian Yu
2025 Misc conf
Deep Dynamic Probabilistic Canonical Correlation Analysis.
ICASSP
Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
Deep Dynamic Probabilistic Canonical Correlation Analysis.
CoRR
Shiqin Tang, Shujian Yu, Yining Dong, S. Joe Qin
2025 J jnl
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence.
CoRR
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation.
CoRR
Yuxin Ye, Yan Liu, Shujian Yu
2025 J jnl
Explainable Multimodal Regression via Information Decomposition.
CoRR
Zhaozhao Ma, Shujian Yu
2025 J jnl
Generalized Cauchy-Schwarz divergence: Efficient estimation and applications in deep learning.
Neurocomputing
Mingfei Lu, Shujian Yu, Robert Jenssen, Badong Chen
2025 J jnl
Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning.
IEEE Trans. Neural Networks Learn. Syst.
Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller
2025 A conf
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis.
UAI
Shiqin Tang, Shujian Yu
2025 J jnl
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis.
CoRR
Shiqin Tang, Shujian Yu
2025 J jnl
Learning Task-Aware Abstract Representations for Meta-Reinforcement Learning.
Trans. Mach. Learn. Res.
Louk van Remmerden, Zhao Yang, Shujian Yu, Mark Hoogendoorn, Vincent François-Lavet
2025 J jnl
Multimodal Functional Maximum Correlation for Emotion Recognition.
CoRR
Deyang Zheng, Tianyi Zhang, Wenming Zheng, Shujian Yu
2025 J jnl
MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis.
CoRR
Kunyu Zhang, Qiang Li, Shujian Yu
2025 — conf
MvHo-IB: Multi-view Higher-Order Information Bottleneck for Brain Disorder Diagnosis.
MICCAI (15)
Kunyu Zhang, Qiang Li, Shujian Yu
2025 A* conf
Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods.
ICLR
Buelent Uendes, Shujian Yu, Mark Hoogendoorn
2025 J jnl
The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making.
IEEE Trans. Pattern Anal. Mach. Intell.
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2025 J jnl
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis.
CoRR
Wen Wen, Tieliang Gong, Yuxin Dong, Shujian Yu, Weizhan Zhang
2025 J jnl
When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding.
CoRR
Jinzhou Wu, Baoping Tang, Qikang Li, Yi Wang, Cheng Li, Shujian Yu
2024 A* conf
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise.
NeurIPS
Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
2024 J jnl
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise.
CoRR
Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
2024 J jnl
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.
NeuroImage
Kaizhong Zheng, Shujian Yu, Liangjun Chen, Lujuan Dang, Badong Chen
2024 J jnl
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
Neural Networks
Kaizhong Zheng, Shujian Yu, Badong Chen
2024 A* conf
Cauchy-Schwarz Divergence Information Bottleneck for Regression.
ICLR
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024 J jnl
Cauchy-Schwarz Divergence Information Bottleneck for Regression.
CoRR
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024 Misc conf
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning.
ICASSP
Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen
2024 J jnl
Discovering Common Information in Multi-view Data.
CoRR
Qi Zhang, Mingfei Lu, Shujian Yu, Jingmin Xin, Badong Chen
2024 J jnl
Discovering common information in multi-view data.
Inf. Fusion
Qi Zhang, Mingfei Lu, Shujian Yu, Jingmin Xin, Badong Chen
2024 A conf
Domain Adaptation with Cauchy-Schwarz Divergence.
UAI
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves
2024 J jnl
Domain Adaptation with Cauchy-Schwarz Divergence.
CoRR
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves
2024 J jnl
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy.
CoRR
Hongming Li, Shujian Yu, Bin Liu, José C. Príncipe
2024 J jnl
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications.
CoRR
Mingfei Lu, Shujian Yu, Robert Jenssen, Badong Chen
2024 J jnl
Incipient fault detection and isolation with Cauchy-Schwarz divergence: A probabilistic approach.
J. Frankl. Inst.
Feiya Lv, Shujian Yu, Huawei Ye, Jinsong Zhao, Chenglin Wen
2024 A* conf
Jacobian Regularizer-based Neural Granger Causality.
ICML
Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen
2024 J jnl
Jacobian Regularizer-based Neural Granger Causality.
CoRR
Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen
2024 J jnl
R2-trans: Fine-grained visual categorization with redundancy reduction.
Image Vis. Comput.
Shuo Ye, Shujian Yu, Yu Wang, Xinge You
2024 A* conf
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.
ICLR
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
2023 J jnl
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network.
IEEE Trans. Neural Networks Learn. Syst.
Zhengqiang Zhang, Qinmu Peng, Sichao Fu, Wenjie Wang, Yiu-ming Cheung, Yue Zhao, Shujian Yu, Xinge You
2023 J jnl
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy
Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023 J jnl
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis.
CoRR
Kaizhong Zheng, Shujian Yu, Badong Chen
2023 A* conf
Causal Recurrent Variational Autoencoder for Medical Time Series Generation.
AAAI
Hongming Li, Shujian Yu, José C. Príncipe
2023 J jnl
Causal Recurrent Variational Autoencoder for Medical Time Series Generation.
CoRR
Hongming Li, Shujian Yu, José C. Príncipe
2023 J jnl
Continual Invariant Risk Minimization.
CoRR
Francesco Alesiani, Shujian Yu, Mathias Niepert
2023 J jnl
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization.
CoRR
Shuo Ye, Shujian Yu, Wenjin Hou, Yu Wang, Xinge You
2023 J jnl
Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization.
Comput. Vis. Image Underst.
Shuo Ye, Shujian Yu, Wenjin Hou, Yu Wang, Xinge You
2023 J jnl
Gated information bottleneck for generalization in sequential environments.
Knowl. Inf. Syst.
Francesco Alesiani, Shujian Yu, Xi Yu
2023 — conf
Higher-Order Organization in the Human Brain From Matrix-Based Rényi's Entropy.
ICASSP Workshops
Qiang Li, Shujian Yu, Kristoffer H. Madsen, Vince D. Calhoun, Armin Iraji
2023 J jnl
Higher-order Organization in the Human Brain from Matrix-Based Rényi's Entropy.
CoRR
Qiang Li, Shujian Yu, Kristoffer H. Madsen, Vince D. Calhoun, Armin Iraji
2023 — conf
Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective.
ICASSP Workshops
Kaizhong Zheng, Shujian Yu, Badong Chen
2023 J jnl
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness.
CoRR
Xiaoyun Xu, Shujian Yu, Jingzheng Wu, Stjepan Picek
2023 J jnl
Multiscale principle of relevant information for hyperspectral image classification.
Mach. Learn.
Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
2023 J jnl
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy.
IEEE Trans. Inf. Theory
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2023 A conf
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study.
ECAI
Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn
2023 J jnl
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study.
CoRR
Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn
2023 A* conf
Robust and Fast Measure of Information via Low-Rank Representation.
AAAI
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2023 J jnl
Selective Imputation for Multivariate Time Series Datasets With Missing Values.
IEEE Trans. Knowl. Data Eng.
Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
2023 Misc conf
Sequential Invariant Information Bottleneck.
ICASSP
Yichen Zhang, Shujian Yu, Badong Chen
2023 A* conf
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization.
AAAI
Shujian Yu
2023 J jnl
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.
CoRR
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2023 Misc conf
Towards a More Stable and General Subgraph Information Bottleneck.
ICASSP
Hongzhi Liu, Kaizhong Zheng, Shujian Yu, Badong Chen
2022 — conf
Adversarial Training for the Adversarial Robustness of EEG-Based Brain-Computer Interfaces.
MLSP
Yunhuan Li, Xi Yu, Shujian Yu, Badong Chen
2022 J jnl
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck.
CoRR
Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
2022 J jnl
Causality detection with matrix-based transfer entropy.
Inf. Sci.
Wanqi Zhou, Shujian Yu, Badong Chen
2022 J jnl
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.
IEEE Trans. Signal Process.
Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2022 Misc conf
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing.
ICASSP
Hongming Li, Shujian Yu, José C. Príncipe
2022 J jnl
Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing.
CoRR
Hongming Li, Shujian Yu, José C. Príncipe
2022 J jnl
Functional Connectome of the Human Brain with Total Correlation.
Entropy
Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo
2022 J jnl
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval.
CoRR
Yufeng Shi, Shujian Yu, Duanquan Xu, Xinge You
2022 A* conf
Learning to Transfer with von Neumann Conditional Divergence.
AAAI
Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio
2022 B conf
Modular-Relatedness for Continual Learning.
IDA
Ammar Shaker, Francesco Alesiani, Shujian Yu
2022 J jnl
Modularizing Deep Learning via Pairwise Learning With Kernels.
IEEE Trans. Neural Networks Learn. Syst.
Shiyu Duan, Shujian Yu, José C. Príncipe
2022 Misc conf
Multi-View Information Bottleneck Without Variational Approximation.
ICASSP
Qi Zhang, Shujian Yu, Jingmin Xin, Badong Chen
2022 J jnl
Multi-view Information Bottleneck Without Variational Approximation.
CoRR
Qi Zhang, Shujian Yu, Jingmin Xin, Badong Chen
2022 J jnl
Optimal Randomized Approximations for Matrix based Renyi's Entropy.
CoRR
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2022 J jnl
Principle of Relevant Information for Graph Sparsification.
CoRR
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022 A conf
Principle of relevant information for graph sparsification.
UAI
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022 J jnl
R2-Trans: Fine-Grained Visual Categorization with Redundancy Reduction.
CoRR
Yu Wang, Shuo Ye, Shujian Yu, Xinge You
2022 J jnl
Robust and Fast Measure of Information via Low-rank Representation.
CoRR
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2021 B conf
Bilevel Continual Learning.
IJCNN
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2021 J jnl
Computationally Efficient Approximations for Matrix-based Renyi's Entropy.
CoRR
Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
2021 Misc conf
Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional.
ICASSP
Xi Yu, Shujian Yu, José C. Príncipe
2021 J jnl
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional.
CoRR
Xi Yu, Shujian Yu, José C. Príncipe
2021 A* conf
Gated Information Bottleneck for Generalization in Sequential Environments.
ICDM
Francesco Alesiani, Shujian Yu, Xi Yu
2021 J jnl
Gated Information Bottleneck for Generalization in Sequential Environments.
CoRR
Francesco Alesiani, Shujian Yu, Xi Yu
2021 J jnl
Information Theoretic Structured Generative Modeling.
CoRR
Bo Hu, Shujian Yu, José C. Príncipe
2021 A* conf
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities.
IJCAI
Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe
2021 J jnl
Interpretable fault detection using projections of mutual information matrix.
J. Frankl. Inst.
Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
2021 J jnl
Learning to Transfer with von Neumann Conditional Divergence.
CoRR
Ammar Shaker, Shujian Yu
2021 A* conf
Measuring Dependence with Matrix-based Entropy Functional.
AAAI
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021 J jnl
Measuring Dependence with Matrix-based Entropy Functional.
CoRR
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021 J jnl
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration.
IEEE Trans. Neural Networks Learn. Syst.
Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
2020 J jnl
Bilevel Continual Learning.
CoRR
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2020 J jnl
Coarse-to-fine salient object detection with low-rank matrix recovery.
Neurocomputing
Qi Zheng, Shujian Yu, Xinge You
2020 Misc conf
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System.
ICASSP
Rishabh Singh, Shujian Yu, José C. Príncipe
2020 J jnl
Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin
2020 A* conf
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
IJCAI
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 J jnl
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
CoRR
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 J jnl
Modularizing Deep Learning via Pairwise Learning With Kernels.
CoRR
Shiyu Duan, Shujian Yu, José C. Príncipe
2020 J jnl
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional.
IEEE Trans. Pattern Anal. Mach. Intell.
Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2020 J jnl
Multiview Hybrid Embedding: A Divide-and-Conquer Approach.
IEEE Trans. Cybern.
Jiamiao Xu, Shujian Yu, Xinge You, Mengjun Leng, Xiao-Yuan Jing, C. L. Philip Chen
2020 J jnl
Mutual Information Matrix for Interpretable Fault Detection.
CoRR
Feiya Lv, Shujian Yu, Chenglin Wen, José C. Príncipe
2020 J jnl
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation.
Neural Comput.
Shiyu Duan, Shujian Yu, Yunmei Chen, José C. Príncipe
2020 B conf
Online Meta-Forest for Regression Data Streams.
IJCNN
Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu
2020 J jnl
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders.
CoRR
Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu
2020 J jnl
Towards Interpretable Multi-Task Learning Using Bilevel Programming.
CoRR
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2020 — conf
Towards Interpretable Multi-task Learning Using Bilevel Programming.
ECML/PKDD (2)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2019 J jnl
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation.
CoRR
Zhengqiang Zhang, Shujian Yu, Shi Yin, Qinmu Peng, Xinge You
2019 J jnl
Concept drift detection and adaptation with hierarchical hypothesis testing.
J. Frankl. Inst.
Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe
2019 — conf
Data Encryption Transmission and Authentication Scheme Based on Blockchain Technology.
DPTA
Liugfen Li, Guowei Lin, Zouyu Xie, Shujian Yu, Zhen Guo, Yufang Liang
2019 J jnl
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR
Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2019 J jnl
Multiscale Principle of Relevant Information for Hyperspectral Image Classification.
CoRR
Yantao Wei, Shujian Yu, José C. Príncipe
2019 J jnl
Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, Dacheng Tao
2019 J jnl
Simple Stopping Criteria for Information Theoretic Feature Selection.
Entropy
Shujian Yu, José C. Príncipe
2019 J jnl
Understanding autoencoders with information theoretic concepts.
Neural Networks
Shujian Yu, José C. Príncipe
2018 J jnl
Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning.
Multim. Tools Appl.
Weihua Ou, Fei Long, Yi Tan, Shujian Yu, Pengpeng Wang
2018 J jnl
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery.
CoRR
Qi Zheng, Shujian Yu, Xinge You, Qinmu Peng, Wei Yuan
2018 — conf
Joint Image Segmentation and Classification with Application to Cluttered Coral Images.
GlobalSIP
Ying Ma, Bing Ouyang, Stephanie Farrington, Shujian Yu, John Reed, José C. Príncipe
2018 J jnl
Multi-view Hybrid Embedding: A Divide-and-Conquer Approach.
CoRR
Jiamiao Xu, Shujian Yu, Xinge You, Mengjun Leng, Xiao-Yuan Jing, C. L. Philip Chen
2018 J jnl
Multi-view manifold learning with locality alignment.
Pattern Recognit.
Yue Zhao, Xinge You, Shujian Yu, Chang Xu, Wei Yuan, Xiao-Yuan Jing, Taiping Zhang, Dacheng Tao
2018 J jnl
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional.
CoRR
Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2018 A* conf
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.
IJCAI
Shujian Yu, Xiaoyang Wang, José C. Príncipe
2018 J jnl
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.
CoRR
Shujian Yu, Xiaoyang Wang, José C. Príncipe
2018 J jnl
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling.
CoRR
Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, Dacheng Tao
2018 J jnl
Simple stopping criteria for information theoretic feature selection.
CoRR
Shujian Yu, José C. Príncipe
2018 J jnl
Understanding Autoencoders with Information Theoretic Concepts.
CoRR
Shujian Yu, José C. Príncipe
2018 J jnl
Understanding Convolutional Neural Network Training with Information Theory.
CoRR
Shujian Yu, Robert Jenssen, José C. Príncipe
2017 Misc conf
Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives.
ICASSP
Shujian Yu, Matthew Emigh, Eder Santana, José C. Príncipe
2017 J jnl
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing.
CoRR
Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, José C. Príncipe
2017 A conf
Concept Drift Detection with Hierarchical Hypothesis Testing.
SDM
Shujian Yu, Zubin Abraham
2017 J jnl
Marine Animal Classification with Correntropy Loss Based Multi-view Learning.
CoRR
Zheng Cao, Shujian Yu, Bing Ouyang, Fraser R. Dalgleish, Anni K. Vuorenkoski, Gabriel Alsenas, José C. Príncipe
2017 Misc conf
Robust linear discriminant analysis with a Laplacian assumption on projection distribution.
ICASSP
Shujian Yu, Zheng Cao, Xiubao Jiang
2016 J jnl
Dynamic texture modeling and synthesis using multi-kernel Gaussian process dynamic model.
Signal Process.
Ziqi Zhu, Xinge You, Shujian Yu, Jixin Zou, Haiquan Zhao
2016 J jnl
Improved functional link artificial neural network via convex combination for nonlinear active noise control.
Appl. Soft Comput.
Haiquan Zhao, Xiangping Zeng, Zhengyou He, Shujian Yu, Badong Chen
2016 J jnl
Kernel Learning for Dynamic Texture Synthesis.
IEEE Trans. Image Process.
Xinge You, Weigang Guo, Shujian Yu, Kan Li, José C. Príncipe, Dacheng Tao
2016 J jnl
Multi-view non-negative matrix factorization by patch alignment framework with view consistency.
Neurocomputing
Weihua Ou, Shujian Yu, Gai Li, Jian Lu, Kesheng Zhang, Gang Xie
2016 B conf
Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction.
IJCNN
Zheng Cao, Shujian Yu, Guibiao Xu, Badong Chen, José C. Príncipe
2016 J jnl
STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes.
Neurocomputing
Shujian Yu, Xinge You, Weihua Ou, Xiubao Jiang, Kexin Zhao, Ziqi Zhu, Yi Mou, Xinyi Zhao
2015 B conf
Dynamic Texture Synthesis via Image Reconstruction.
SMC
Weigang Guo, Xinge You, Ziqi Zhu, Weiyong Xue, Shujian Yu, Xiubao Jiang
2015 — conf
Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations.
ICONIP (2)
Shujian Yu, Xinge You, Xiubao Jiang, Weihua Ou, Ziqi Zhu, Yixiao Zhao, C. L. Philip Chen, Yuanyan Tang
2015 B conf
Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement.
SMC
Shujian Yu, Xinge You, Xiubao Jiang, Kexin Zhao, Yi Mou, Weihua Ou, Yuanyan Tang, C. L. Philip Chen
2015 B conf
Kernel normalized mixed-norm algorithm for system identification.
IJCNN
Shujian Yu, Xinge You, Kexin Zhao, Weihua Ou, Yuanyan Tang
2015 — conf
Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition.
ICONIP (4)
Weihua Ou, Gai Li, Shujian Yu, Gang Xie, Fujia Ren, Yuanyan Tang
2015 — conf
Single image rain streaks removal based on self-learning and structured sparse representation.
ChinaSIP
Shujian Yu, Weihua Ou, Xinge You, Yi Mou, Xiubao Jiang, Yuanyan Tang
2015 — conf
Webcam-Based Visual Gaze Estimation Under Desktop Environment.
ICONIP (2)
Shujian Yu, Weihua Ou, Xinge You, Xiubao Jiang, Yun Zhu, Yi Mou, Weigang Guo, Yuanyan Tang, C. L. Philip Chen
2014 — conf
A general solution for multi-thread based multi-source compressed video surveillance system.
SPAC
Lu Han, Yixiao Zhao, Shujian Yu, Baojun Zhao, Jiatong Li, Jinghui Wu
2014 C conf
Content-Adaptive Rain and Snow Removal Algorithms for Single Image.
ISNN
Shujian Yu, Yixiao Zhao, Yi Mou, Jinghui Wu, Lu Han, Xiaopeng Yang, Baojun Zhao
2014 C conf
Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery.
ISNN
Yixiao Zhao, Shujian Yu, Jinghui Wu, Lu Han, Zijing Chen, Xiaopeng Yang, Baojun Zhao
2014 — conf
Gaussian latent variable models for variable selection.
SPAC
Xiubao Jiang, Xinge You, Yi Mou, Shujian Yu, Wu Zeng
2014 — conf
Global sparse partial least squares.
SPAC
Yi Mou, Xinge You, Xiubao Jiang, Duanquan Xu, Shujian Yu
2014 — conf
Robust weighted coarse-to-fine sparse tracking.
SPAC
Boxuan Zhong, Zijing Chen, Xinge You, Luoqing Li, Yunliang Xie, Shujian Yu
2014 — conf
STFT-like time frequency representations for nonstationary signal - From evenly sampled data to arbitrary nonuniformly sampled data.
SPAC
Shujian Yu, Xinge You, Kexin Zhao, Xiubao Jiang, Yi Mou, Jie Zhu