2019 ICHI2019 Categorical EHR Imputation with Generative Adversarial Nets Yang, Yinchong, Wu, Zhiliang, Tresp, Volker, and Fasching, Peter A. In 2019 IEEE International Conference on Healthcare Informatics (ICHI) 2019 arXiv PDF 2020 ACCV2020 Introspective Learning by Distilling Knowledge from Online Self-explanation Gu, Jindong, Wu, Zhiliang, and Tresp, Volker In Proceedings of the Asian Conference on Computer Vision (ACCV) 2020 arXiv PDF ICHI2020 Best Paper Award Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score Wu, Zhiliang, Yang, Yinchong, Ma, Yunpu, Liu, Yushan, Zhao, Rui, Moor, Michael, and Tresp, Volker In 2020 IEEE International Conference on Healthcare Informatics (ICHI) 2020 arXiv PDF Code 2021 ICHI2021 Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning Wu, Zhiliang, Yang, Yinchong, Gu, Jindong, and Tresp, Volker In 2021 IEEE International Conference on Healthcare Informatics (ICHI) 2021 arXiv PDF Code MLHC2021 Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models Wu, Zhiliang, Yang, Yinchong, Fasching, Peter A., and Tresp, Volker In Machine Learning for Healthcare Conference 2021 arXiv PDF Code WNUT2021 Description-based Label Attention Classifier for Explainable ICD-9 Classification Feucht, Malte, Wu, Zhiliang, Althammer, Sophia, and Tresp, Volker In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021) 2021 arXiv PDF Code 2022 Dissertation Representation Learning for Uncertainty-Aware Clinical Decision Support Wu, Zhiliang In Elektronische Hochschulschriften der LMU München 2022 PDF