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


Jan 21, 2023
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe

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* 23 pages, 7 figures 

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Causal Recurrent Variational Autoencoder for Medical Time Series Generation


Jan 16, 2023
Hongming Li, Shujian Yu, Jose Principe

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* Manuscript accepted by AAAI-23. Code is publicly available at \url{https://github.com/hongmingli1995/CR-VAE

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CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis


Jan 04, 2023
Kaizhong Zheng, Shujian Yu, Badong Chen

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* 42 pages, 12 figures 

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Robust and Fast Measure of Information via Low-rank Representation


Nov 30, 2022
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

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Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval


Sep 26, 2022
Yufeng Shi, Shujian Yu, Duanquan Xu, Xinge You

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Principle of Relevant Information for Graph Sparsification


May 31, 2022
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jose C. Principe

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* accepted by UAI-22 

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Optimal Randomized Approximations for Matrix based Renyi's Entropy


May 16, 2022
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li

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BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck


May 07, 2022
Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen

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* 12 pages, 4 figures 

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Multi-view Information Bottleneck Without Variational Approximation


Apr 22, 2022
Qi Zhang, Shujian Yu, Jingmin Xin, Badong Chen

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* Manuscript is accepted by ICASSP-22 

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R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction


Apr 21, 2022
Yu Wang, Shuo Ye, Shujian Yu, Xinge You

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