Zhao Xu

According to our database, Zhao Xu authored at least 41 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.

Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

2024

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.

Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.

Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2024

A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.

Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Generating and Evaluating Plausible Explanations for Knowledge Graph Completion.

Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions.

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

CoRR, 2022

A Human-Centric Assessment Framework for AI.

Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence

CoRR, 2022

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction.

Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2022

Uncertainty Propagation in Node Classification.

Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Learning Sparsity of Representations with Discrete Latent Variables.

Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert

Proceedings of the International Joint Conference on Neural Networks, 2021

Interpreting Node Embedding with Text-labeled Graphs.

Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2021

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.

Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.

Sibghat Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff

Dataset, May, 2020

Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis.

Zhao Xu, Lorenzo von Ritter, Giuseppe Serra

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.

Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.

Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.

Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.

Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2017

Gaussian Process.

Novi Quadrianto, Kristian Kersting, Zhao Xu

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Graph Enhanced Memory Networks for Sentiment Analysis.

Zhao Xu, Romain Vial, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Stochastic Online Anomaly Analysis for Streaming Time Series.

Zhao Xu, Kristian Kersting, Lorenzo von Ritter

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Robust Online Time Series Prediction with Recurrent Neural Networks.

Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2012

Pedestrian Quantity Estimation with Trajectory Patterns.

Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Efficient Learning for Hashing Proportional Data.

Zhao Xu, Kristian Kersting, Christian Bauckhage

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.

Thomas Liebig, Zhao Xu, Michael May

Proceedings of the Citizen in Sensor Networks - First International Workshop, 2012

Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images.

Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Multi-task Learning with Task Relations.

Zhao Xu, Kristian Kersting

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Gaussian Process.

Novi Quadrianto, Kristian Kersting, Zhao Xu

Proceedings of the Encyclopedia of Machine Learning, 2010

Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes.

Zhao Xu, Kristian Kersting, Thorsten Joachims

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Topic Models Conditioned on Relations.

Mirwaes Wahabzada, Zhao Xu, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Learning Preferences with Hidden Common Cause Relations.

Kristian Kersting, Zhao Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Multi-Relational Learning with Gaussian Processes.

Zhao Xu, Kristian Kersting, Volker Tresp

Proceedings of the IJCAI 2009, 2009

Stacked Gaussian Process Learning.

Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz

Proceedings of the ICDM 2009, 2009

2008

Social Network Mining with Nonparametric Relational Models.

Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting

Proceedings of the Advances in Social Network Mining and Analysis, 2008

2007

Fast Inference in Infinite Hidden Relational Models.

Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel

Proceedings of the Mining and Learning with Graphs, 2007

2006

Infinite Hidden Relational Models.

Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel

Proceedings of the UAI '06, 2006

Stochastic Relational Models for Discriminative Link Prediction.

Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Dirichlet enhanced relational learning.

Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel

Proceedings of the Machine Learning, 2005

2003

Knowing a tree from the forest: art image retrieval using a society of profiles.

Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel

Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Representative Sampling for Text Classification Using Support Vector Machines.

Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang

Proceedings of the Advances in Information Retrieval, 2003

A Hybrid Relevance-Feedback Approach to Text Retrieval.

Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp

Proceedings of the Advances in Information Retrieval, 2003