Publications

Zhiliang Wu,, Yinchong Yang, Jindong Gu, Volker Tresp (2021). Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. In IEEE ICHI.

Zhiliang Wu,, Yinchong Yang, Peter A. Fasching, Volker Tresp (2021). Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. In MLHC.

Yinchong Yang, Florian Büttner (2021). Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems. In UAI.

Yinchong Yang, Zhiliang Wu,, Peter A. Fasching, Volker Tresp (2019). Categorical EHR Imputation with Generative Adversarial Nets. In IEEE ICHI.

Yinchong Yang, Marius Wunderle, Peter A. Fasching, Volker Tresp (2018). Explaining Therapy Predictions with Layer-wise Relevance Propagation in Neural Networks. In IEEE ICHI.

Yinchong Yang (2018). Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling. Dissertation at LMU Munich.

Yinchong Yang, Peter A. Fasching, Volker Tresp (2017). Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Model. In MLHC.

Yinchong Yang, Denis Krompass, Volker Tresp (2017). Tensor-Train Recurrent Neural Networks for Video Classification. In ICML.

Yinchong Yang, Peter A. Fasching, Volker Tresp (2017). Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. In IEEE ICHI.

Yinchong Yang, Cristobal Esteban, Volker Tresp (2016). Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. In ESWC.