Yinchong Yang - RankMe

30 papers A* 2A 1B 1C 1Journal 14Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach. AAAI Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
2025	J	`jnl`	Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach. CoRR Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
2024	J	`jnl`	Data-driven Verification of DNNs for Object Recognition. CoRR Clemens Otte, Yinchong Yang, Danny Benlin Oswan
2022	J	`jnl`	Facilitating Change Implementation for Continuous ML-Safety Assurance. CoRR 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
2021	J	`jnl`	Categorical EHR Imputation with Generative Adversarial Nets. CoRR Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching
2021	J	`jnl`	Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems. CoRR Yinchong Yang, Florian Buettner
2021	A	`conf`	Multi-output Gaussian Processes for uncertainty-aware recommender systems. UAI Yinchong Yang, Florian Buettner
2021	—	`conf`	Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021	J	`jnl`	Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp
2021	—	`conf`	Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. MLHC Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp
2021	J	`jnl`	Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. CoRR Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp
2020	—	`conf`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2020	J	`jnl`	Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
2019	—	`conf`	Categorical EHR Imputation with Generative Adversarial Nets. ICHI Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching
2018	—	`—`	Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling. Yinchong Yang
2018	—	`conf`	Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching
2018	—	`conf`	Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) Jindong Gu, Yinchong Yang, Volker Tresp
2018	J	`jnl`	Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR Jindong Gu, Yinchong Yang, Volker Tresp
2017	—	`conf`	Embedding Learning for Declarative Memories. ESWC (1) Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang
2017	—	`conf`	Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC Yinchong Yang, Peter A. Fasching, Volker Tresp
2017	—	`conf`	Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI Yinchong Yang, Peter A. Fasching, Volker Tresp
2017	A*	`conf`	Tensor-Train Recurrent Neural Networks for Video Classification. ICML Yinchong Yang, Denis Krompass, Volker Tresp
2017	J	`jnl`	Tensor-Train Recurrent Neural Networks for Video Classification. CoRR Yinchong Yang, Denis Krompass, Volker Tresp
2016	B	`conf`	Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC Yinchong Yang, Cristóbal Esteban, Volker Tresp
2016	—	`conf`	Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp
2016	J	`jnl`	Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. CoRR Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp
2016	C	`conf`	Predicting the co-evolution of event and Knowledge Graphs. FUSION Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass
2016	J	`jnl`	Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp
2015	J	`jnl`	Learning with Memory Embeddings. CoRR Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß
2015	J	`jnl`	Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß