Yinchong Yang

According to our database, Yinchong Yang authored at least 19 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Facilitating Change Implementation for Continuous ML-Safety Assurance.

Chih-Hong Cheng, Nguyen Anh Vu Doan, Balahari Balu, Franziska Schwaiger, Emmanouil Seferis, Simon Burton, Yassine Qamsane, Ankit Shukla, Yinchong Yang, Zhiliang Wu, Andreas Hapfelmeier, Ingo Thon

CoRR, 2022

2021

Multi-output Gaussian Processes for uncertainty-aware recommender systems.

Yinchong Yang, Florian Buettner

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models.

Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp

Proceedings of the Machine Learning for Healthcare Conference, 2021

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning.

Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score.

Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019

Categorical EHR Imputation with Generative Adversarial Nets.

Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling.

Yinchong Yang

PhD thesis, 2018

Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks.

Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Understanding Individual Decisions of CNNs via Contrastive Backpropagation.

Jindong Gu, Yinchong Yang, Volker Tresp

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models.

Yinchong Yang, Peter A. Fasching, Volker Tresp

Proceedings of the Machine Learning for Health Care Conference, 2017

Tensor-Train Recurrent Neural Networks for Video Classification.

Yinchong Yang, Denis Krompass, Volker Tresp

Proceedings of the 34th International Conference on Machine Learning, 2017

Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder.

Yinchong Yang, Peter A. Fasching, Volker Tresp

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Embedding Learning for Declarative Memories.

Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang

Proceedings of the Semantic Web - 14th International Conference, 2017

2016

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding.

Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp

CoRR, 2016

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.

Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp

CoRR, 2016

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.

Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Predicting the co-evolution of event and Knowledge Graphs.

Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass

Proceedings of the 19th International Conference on Information Fusion, 2016

Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling.

Yinchong Yang, Cristóbal Esteban, Volker Tresp

Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

2015

Learning with Memory Embeddings.

Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß

CoRR, 2015