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ORCIDYinchong Yang
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2020 – today
- 2024
[i13]Clemens Otte, Yinchong Yang, Danny Benlin Oswan:
Data-driven Verification of DNNs for Object Recognition. CoRR abs/2408.00783 (2024)- 2022
- [i12]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:
Facilitating Change Implementation for Continuous ML-Safety Assurance. CoRR abs/2209.11632 (2022) - 2021
- [c14]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI 2021: 63-72 - [c13]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. MLHC 2021: 54-79 - [c12]Yinchong Yang, Florian Buettner:
Multi-output Gaussian Processes for uncertainty-aware recommender systems. UAI 2021: 1505-1514 - [i11]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR abs/2106.00638 (2021) - [i10]Yinchong Yang, Florian Buettner:
Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems. CoRR abs/2106.04221 (2021) - [i9]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. CoRR abs/2107.12250 (2021) - [i8]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. CoRR abs/2108.01701 (2021) - 2020
- [c11]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020: 1-11 - [i7]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR abs/2007.01083 (2020)
2010 – 2019
- 2019
- [c10]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. ICHI 2019: 1-10 - 2018
- [b1]Yinchong Yang:
Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling. Ludwig Maximilian University of Munich, Germany, 2018 - [c9]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) 2018: 119-134 - [c8]Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI 2018: 152-162 - [i6]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR abs/1812.02100 (2018) - 2017
- [c7]Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang:
Embedding Learning for Declarative Memories. ESWC (1) 2017: 202-216 - [c6]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI 2017: 46-55 - [c5]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - [c4]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC 2017: 164-176 - [i5]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. CoRR abs/1707.01786 (2017) - 2016
- [c3]Yinchong Yang, Cristóbal Esteban, Volker Tresp:
Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC 2016: 199-213 - [c2]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c1]Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI 2016: 93-101 - [i4]Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. CoRR abs/1602.02685 (2016) - [i3]Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp:
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR abs/1612.00611 (2016) - 2015
- [i2]Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß:
Learning with Memory Embeddings. CoRR abs/1511.07972 (2015) - [i1]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß:
Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR abs/1512.06900 (2015)
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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