Yinchong Yang
Yinchong Yang
Research Scientist, Siemens AG
Verified email at siemens.com
Cited by
Cited by
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
Tensor-train recurrent neural networks for video classification
Y Yang, D Krompass, V Tresp
arXiv preprint arXiv:1707.01786, 2017
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
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
Learning with memory embeddings
V Tresp, C Esteban, Y Yang, S Baier, D Krompaß
arXiv preprint arXiv:1511.07972, 2015
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
Understanding individual decisions of cnns via contrastive backpropagation
J Gu, Y Yang, V Tresp
Asian Conference on Computer Vision, 119-134, 2018
Embedding learning for declarative memories
V Tresp, Y Ma, S Baier, Y Yang
European Semantic Web Conference, 202-216, 2017
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
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
Embedding mapping approaches for tensor factorization and knowledge graph modelling
Y Yang, C Esteban, V Tresp
European Semantic Web Conference, 199-213, 2016
Modeling Clinical Decisions with Multinomial Hierarchical Classification
Y Yang, PA Fasching, V Tresp
Proceedings of the 34th International Conference on Machine Learning, Sydney …, 2017
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp
arXiv preprint arXiv:2007.01083, 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
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
Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling
Y Yang
lmu, 2018
Embedding Mapping Approaches
Y Yang, C Esteban, V Tresp
Combining Static and Dynamic Information for Clinical Event Prediction
C Esteban, A Artés, Y Yang, O Staeck, E Baca-Garcıa, V Tresp
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