Zhao Xu

46 papers A* 9A 3B 7Journal 8Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
2024 — conf
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.
ECML/PKDD (5)
Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew
2024 — conf
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.
EACL (Demonstrations)
Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
2024 B conf
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.
IJCNN
Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao
2024 J jnl
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews.
CoRR
Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao
2024 — conf
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion.
ACL (1)
Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence
2023 J jnl
Learning Sparsity of Representations with Discrete Latent Variables.
CoRR
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
2023 J jnl
Uncertainty Propagation in Node Classification.
CoRR
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2022 J jnl
A Human-Centric Assessment Framework for AI.
CoRR
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
2022 J jnl
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network.
CoRR
Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 B conf
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction.
IJCNN
Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
2022 A* conf
Uncertainty Propagation in Node Classification.
ICDM
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2021 B conf
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.
IJCNN
Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021 B conf
Interpreting Node Embedding with Text-labeled Graphs.
IJCNN
Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao
2021 B conf
Learning Sparsity of Representations with Discrete Latent Variables.
IJCNN
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
2020 B conf
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
IJCNN
Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2020 — ch.
Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis.
Complex Pattern Mining
Zhao Xu, Lorenzo von Ritter, Giuseppe Serra
2019 — conf
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
ICDM Workshops
Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
2019 — conf
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.
SSCI
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019 — conf
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.
SSCI
Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2017 — ch.
Gaussian Process.
Encyclopedia of Machine Learning and Data Mining
Novi Quadrianto, Kristian Kersting, Zhao Xu
2017 — conf
Graph Enhanced Memory Networks for Sentiment Analysis.
ECML/PKDD (1)
Zhao Xu, Romain Vial, Kristian Kersting
2017 A* conf
Stochastic Online Anomaly Analysis for Streaming Time Series.
IJCAI
Zhao Xu, Kristian Kersting, Lorenzo von Ritter
2016 B conf
Robust Online Time Series Prediction with Recurrent Neural Networks.
DSAA
Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya
2012 A* conf
Efficient Learning for Hashing Proportional Data.
ICDM
Zhao Xu, Kristian Kersting, Christian Bauckhage
2012 — conf
Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.
CitiSens
Thomas Liebig, Zhao Xu, Michael May
2012 J jnl
Infinite Hidden Relational Models.
CoRR
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2012 — conf
Pedestrian Quantity Estimation with Trajectory Patterns.
ECML/PKDD (2)
Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel
2012 A* conf
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images.
AAAI
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Christian Bauckhage, Christian Thurau, Christoph Römer, Agim Ballvora, Uwe Rascher, Jens Leon, Lutz Plümer
2011 A* conf
Multi-task Learning with Task Relations.
ICDM
Zhao Xu, Kristian Kersting
2010 — conf
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes.
ECML/PKDD (3)
Zhao Xu, Kristian Kersting, Thorsten Joachims
2010 — ch.
Gaussian Process.
Encyclopedia of Machine Learning
Novi Quadrianto, Kristian Kersting, Zhao Xu
2010 — conf
Topic Models Conditioned on Relations.
ECML/PKDD (3)
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
2009 — conf
Learning Preferences with Hidden Common Cause Relations.
ECML/PKDD (1)
Kristian Kersting, Zhao Xu
2009 A* conf
Multi-Relational Learning with Gaussian Processes.
IJCAI
Zhao Xu, Kristian Kersting, Volker Tresp
2009 — conf
Relational Gaussian Processes for Learning Preference Relations.
MLG/SRL@ILP
Kristian Kersting, Zhao Xu
2009 A* conf
Stacked Gaussian Process Learning.
ICDM
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz
2008 — conf
Social Network Mining with Nonparametric Relational Models.
SNAKDD
Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting
2007 — conf
Fast Inference in Infinite Hidden Relational Models.
MLG
Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel
2006 A conf
Infinite Hidden Relational Models.
UAI
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2006 — conf
Stochastic Relational Models for Discriminative Link Prediction.
NIPS
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
2005 A* conf
Dirichlet enhanced relational learning.
ICML
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel
2003 A conf
A Hybrid Relevance-Feedback Approach to Text Retrieval.
ECIR
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
2003 A* conf
Knowing a tree from the forest: art image retrieval using a society of profiles.
ACM Multimedia
Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel
2003 A conf
Representative Sampling for Text Classification Using Support Vector Machines.
ECIR
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang