Yinchong Yang
Yinchong Yang
Research Scientist, Siemens AG
Verified email at siemens.com
Title
Cited by
Cited by
Year
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
1232016
Tensor-train recurrent neural networks for video classification
Y Yang, D Krompass, V Tresp
International Conference on Machine Learning, 3891-3900, 2017
1182017
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
392016
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
382018
Understanding individual decisions of cnns via contrastive backpropagation
J Gu, Y Yang, V Tresp
Asian Conference on Computer Vision, 119-134, 2018
302018
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
172017
Embedding learning for declarative memories
V Tresp, Y Ma, S Baier, Y Yang
European Semantic Web Conference, 202-216, 2017
162017
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
112017
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
Embedding mapping approaches for tensor factorization and knowledge graph modelling
Y Yang, C Esteban, V Tresp
European Semantic Web Conference, 199-213, 2016
32016
Modeling clinical decisions with multinomial hierarchical classification
Y Yang, PA Fasching, V Tresp
Proceedings of the 34th International Conference on Machine Learning, Sydney …, 2017
22017
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
Categorical electronic health records imputation with generative adversarial networks
V Tresp, Y Yang
US Patent App. 16/440,102, 2020
2020
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
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
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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Articles 1–19