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ORCIDZhao Xu 0001
Person information
- affiliation: NEC Laboratories Europe, Heidelberg, Germany
- affiliation (former): Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
- affiliation (former): Technical University of Munich, Institute for Computer Science, Germany
Other persons with the same name
- Zhao Xu — disambiguation page
- Zhao Xu 0002
![[0000-0003-4480-7394]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4480-7394")
— Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong (and 2 more) - Zhao Xu 0003 — State Grid Energy Research Institute, Beijing, China (and 1 more)
- Zhao Xu 0004 — Chinese Academy of Sciences, Institute of Nuclear Energy Safety Technology, Key Laboratory of Neutronics and Radiation Safety, Hefei, China
- Zhao Xu 0005 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
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2020 – today
- 2024
[c34]Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence:
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) 2024: 12106-12118- [c33]Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence:
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) 2024: 18-26 - [c32]Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. IJCNN 2024: 1-8 - [c31]Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew:
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. ECML/PKDD (5) 2024: 20-37 - [i7]Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. CoRR abs/2407.00063 (2024) - 2023
- [i6]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. CoRR abs/2304.00918 (2023) - [i5]Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert:
Learning Sparsity of Representations with Discrete Latent Variables. CoRR abs/2304.00935 (2023) - 2022
- [c30]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. ICDM 2022: 1275-1280 - [c29]Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN 2022: 1-8 - [i4]Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao:
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. CoRR abs/2201.04361 (2022) - [i3]Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence:
A Human-Centric Assessment Framework for AI. CoRR abs/2205.12749 (2022) - [i2]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - 2021
- [c28]Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN 2021: 1-9 - [c27]Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao:
Interpreting Node Embedding with Text-labeled Graphs. IJCNN 2021: 1-8 - [c26]Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert:
Learning Sparsity of Representations with Discrete Latent Variables. IJCNN 2021: 1-9 - 2020
- [c25]Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN 2020: 1-9 - [p1]Zhao Xu, Lorenzo von Ritter, Giuseppe Serra:
Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis. Complex Pattern Mining 2020: 17-32 - [d1]Sibghat Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. Zenodo, 2020
2010 – 2019
- 2019
- [c24]Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt:
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c23]Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI 2019: 858-866 - [c22]Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI 2019: 1367-1374 - 2017
- [c21]Zhao Xu, Kristian Kersting, Lorenzo von Ritter:
Stochastic Online Anomaly Analysis for Streaming Time Series. IJCAI 2017: 3189-3195 - [c20]Zhao Xu, Romain Vial, Kristian Kersting:
Graph Enhanced Memory Networks for Sentiment Analysis. ECML/PKDD (1) 2017: 374-389 - [r2]Novi Quadrianto, Kristian Kersting, Zhao Xu:
Gaussian Process. Encyclopedia of Machine Learning and Data Mining 2017: 535-548 - 2016
- [c19]Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya:
Robust Online Time Series Prediction with Recurrent Neural Networks. DSAA 2016: 816-825 - 2012
- [c18]Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer:
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. AAAI 2012: 302-308 - [c17]Thomas Liebig, Zhao Xu, Michael May:
Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement. CitiSens 2012: 67-80 - [c16]Zhao Xu, Kristian Kersting, Christian Bauckhage:
Efficient Learning for Hashing Proportional Data. ICDM 2012: 735-744 - [c15]Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel:
Pedestrian Quantity Estimation with Trajectory Patterns. ECML/PKDD (2) 2012: 629-643 - [i1]Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel:
Infinite Hidden Relational Models. CoRR abs/1206.6864 (2012) - 2011
- [c14]Zhao Xu, Kristian Kersting:
Multi-task Learning with Task Relations. ICDM 2011: 884-893 - 2010
- [c13]Mirwaes Wahabzada, Zhao Xu, Kristian Kersting:
Topic Models Conditioned on Relations. ECML/PKDD (3) 2010: 402-417 - [c12]Zhao Xu, Kristian Kersting, Thorsten Joachims:
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. ECML/PKDD (3) 2010: 499-514 - [r1]Novi Quadrianto, Kristian Kersting, Zhao Xu:
Gaussian Process. Encyclopedia of Machine Learning 2010: 428-439
2000 – 2009
- 2009
- [c11]Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz:
Stacked Gaussian Process Learning. ICDM 2009: 387-396 - [c10]Zhao Xu, Kristian Kersting, Volker Tresp:
Multi-Relational Learning with Gaussian Processes. IJCAI 2009: 1309-1314 - [c9]Kristian Kersting, Zhao Xu:
Learning Preferences with Hidden Common Cause Relations. ECML/PKDD (1) 2009: 676-691 - 2008
- [c8]Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting:
Social Network Mining with Nonparametric Relational Models. SNAKDD 2008: 77-96 - 2007
- [c7]Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models. MLG 2007 - 2006
- [c6]Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560 - [c5]Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel:
Infinite Hidden Relational Models. UAI 2006 - 2005
- [c4]Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel:
Dirichlet enhanced relational learning. ICML 2005: 1004-1011 - 2003
- [c3]Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp:
A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR 2003: 281-293 - [c2]Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang:
Representative Sampling for Text Classification Using Support Vector Machines. ECIR 2003: 393-407 - [c1]Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel:
Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia 2003: 622-631
Coauthor Index
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