Yinchong Yang
Yinchong Yang
Research Scientist, Siemens AG
Email confirmado em siemens.com
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Predicting clinical events by combining static and dynamic information using recurrent neural networks
C Esteban, O Staeck, S Baier, Y Yang, V Tresp
2016 IEEE International Conference on Healthcare Informatics (ICHI), 93-101, 2016
1322016
Tensor-train recurrent neural networks for video classification
Y Yang, D Krompass, V Tresp
International Conference on Machine Learning, 3891-3900, 2017
1272017
Explaining therapy predictions with layer-wise relevance propagation in neural networks
Y Yang, V Tresp, M Wunderle, PA Fasching
2018 IEEE International Conference on Healthcare Informatics (ICHI), 152-162, 2018
392018
Predicting the co-evolution of event and knowledge graphs
C Esteban, V Tresp, Y Yang, S Baier, D Krompaß
2016 19th International Conference on Information Fusion (FUSION), 98-105, 2016
382016
Understanding individual decisions of cnns via contrastive backpropagation
J Gu, Y Yang, V Tresp
Asian Conference on Computer Vision, 119-134, 2018
342018
Learning with memory embeddings
V Tresp, C Esteban, Y Yang, S Baier, D Krompaß
arXiv preprint arXiv:1511.07972, 2015
202015
Predictive modeling of therapy decisions in metastatic breast cancer with recurrent neural network encoder and multinomial hierarchical regression decoder
Y Yang, PA Fasching, V Tresp
2017 IEEE International Conference on Healthcare Informatics (ICHI), 46-55, 2017
192017
Embedding learning for declarative memories
V Tresp, Y Ma, S Baier, Y Yang
European Semantic Web Conference, 202-216, 2017
172017
Modeling progression free survival in breast cancer with tensorized recurrent neural networks and accelerated failure time models
Y Yang, PA Fasching, V Tresp
Machine Learning for Healthcare Conference, 164-176, 2017
152017
Predictive clinical decision support system with RNN encoding and tensor decoding
Y Yang, PA Fasching, M Wallwiener, TN Fehm, SY Brucker, V Tresp
arXiv preprint arXiv:1612.00611, 2016
102016
Healthcare Informatics (ICHI)
Y Yang, PA Fasching, V Tresp
2017 IEEE International Conference on, 46-55, 2017
52017
Embedding mapping approaches for tensor factorization and knowledge graph modelling
Y Yang, C Esteban, V Tresp
European Semantic Web Conference, 199-213, 2016
42016
Modeling clinical decisions with multinomial hierarchical classification
Y Yang, PA Fasching, V Tresp
Proc Machine Learning Res (Sydney, Australia), 2017
22017
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
Z Wu, Y Yang, J Gu, V Tresp
arXiv preprint arXiv:2106.00638, 2021
12021
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020
12020
Categorical EHR Imputation with Generative Adversarial Nets
Y Yang, Z Wu, V Tresp, PA Fasching
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-10, 2019
12019
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
Z Wu, Y Yang, PA Fasching, V Tresp
arXiv preprint arXiv:2107.12250, 2021
2021
Categorical electronic health records imputation with generative adversarial networks
V Tresp, Y Yang
US Patent App. 16/440,102, 2020
2020
Determining influence of attributes in recurrent neural net-works trained on therapy prediction
V Tresp, Y Yang
US Patent App. 16/398,615, 2019
2019
Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling
Y Yang
lmu, 2018
2018
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