A Hybrid Relevance-Feedback Approach to Text Retrieval. - Zhao Xu 001; Xiaowei Xu 001; Kai Yu 001; Volker Tresp (ECIR, 2003)

Representative Sampling for Text Classification Using Support Vector Machines. - Zhao Xu 001; Kai Yu 001; Volker Tresp; Xiaowei Xu 001; Jizhi Wang (ECIR, 2003)

Knowing a tree from the forest: art image retrieval using a society of profiles. - Kai Yu 001; Wei-Ying Ma; Volker Tresp; Zhao Xu 001; Xiaofei He 001; HongJiang Zhang; Hans-Peter Kriegel (ACM Multimedia, 2003)

Dirichlet enhanced relational learning. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Shipeng Yu; Hans-Peter Kriegel (ICML, 2005)

Stochastic Relational Models for Discriminative Link Prediction. - Kai Yu 001; Wei Chu; Shipeng Yu; Volker Tresp; Zhao Xu 001 (NIPS, 2006)

Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Hans-Peter Kriegel (UAI, 2006)

Fast Inference in Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Shipeng Yu; Kai Yu 001; Hans-Peter Kriegel (MLG, 2007)

Social Network Mining with Nonparametric Relational Models. - Zhao Xu 001; Volker Tresp; Achim Rettinger; Kristian Kersting (SNAKDD, 2008)

Stacked Gaussian Process Learning. - Marion Neumann; Kristian Kersting; Zhao Xu 001; Daniel Schulz (ICDM, 2009)

Multi-Relational Learning with Gaussian Processes. - Zhao Xu 001; Kristian Kersting; Volker Tresp (IJCAI, 2009)

Relational Gaussian Processes for Learning Preference Relations. - Kristian Kersting; Zhao Xu 001 (MLG/SRL@ILP, 2009)

Learning Preferences with Hidden Common Cause Relations. - Kristian Kersting; Zhao Xu 001 (ECML/PKDD (1), 2009)

Topic Models Conditioned on Relations. - Mirwaes Wahabzada; Zhao Xu 001; Kristian Kersting (ECML/PKDD (3), 2010)

Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. - Zhao Xu 001; Kristian Kersting; Thorsten Joachims (ECML/PKDD (3), 2010)

Gaussian Process. - Novi Quadrianto; Kristian Kersting; Zhao Xu 001 (Encyclopedia of Machine Learning, 2010)

Multi-task Learning with Task Relations. - Zhao Xu 001; Kristian Kersting (ICDM, 2011)

Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. - Kristian Kersting; Zhao Xu 001; Mirwaes Wahabzada; Christian Bauckhage; Christian Thurau; Christoph Römer; Agim Ballvora; Uwe Rascher; Jens Leon; Lutz Plümer (AAAI, 2012)

Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement. - Thomas Liebig; Zhao Xu 001; Michael May 001 (CitiSens, 2012)

Efficient Learning for Hashing Proportional Data. - Zhao Xu 001; Kristian Kersting; Christian Bauckhage (ICDM, 2012)

Pedestrian Quantity Estimation with Trajectory Patterns. - Thomas Liebig; Zhao Xu 001; Michael May 001; Stefan Wrobel (ECML/PKDD (2), 2012)

Robust Online Time Series Prediction with Recurrent Neural Networks. - Tian Guo 002; Zhao Xu 001; Xin Yao 001; Haifeng Chen; Karl Aberer; Koichi Funaya (DSAA, 2016)

Stochastic Online Anomaly Analysis for Streaming Time Series. - Zhao Xu 001; Kristian Kersting; Lorenzo von Ritter (IJCAI, 2017)

Graph Enhanced Memory Networks for Sentiment Analysis. - Zhao Xu 001; Romain Vial; Kristian Kersting (ECML/PKDD (1), 2017)

Gaussian Process. - Novi Quadrianto; Kristian Kersting; Zhao Xu 001 (Encyclopedia of Machine Learning and Data Mining, 2017)

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. - Sneha Saha; Thiago Rios; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck; Xin Yao 001; Zhao Xu 001; Patricia Wollstadt (ICDM Workshops, 2019)

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. - Thiago Rios; Patricia Wollstadt; Bas van Stein; Thomas Bäck; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. - Sneha Saha; Thiago Rios; Leandro L. Minku; Xin Yao 001; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Ullah Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IJCNN, 2020)

Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis. - Zhao Xu 001; Lorenzo von Ritter; Giuseppe Serra 002 (Complex Pattern Mining, 2020)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Sibghat Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff (Zenodo, 2020)

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. - Stephen Friess; Peter Tiño; Zhao Xu 001; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2021)

Interpreting Node Embedding with Text-labeled Graphs. - Giuseppe Serra 002; Zhao Xu 001; Mathias Niepert; Carolin Lawrence; Peter Tiño; Xin Yao 001 (IJCNN, 2021)

Learning Sparsity of Representations with Discrete Latent Variables. - Zhao Xu 001; Daniel Oñoro-Rubio; Giuseppe Serra 002; Mathias Niepert (IJCNN, 2021)

Uncertainty Propagation in Node Classification. - Zhao Xu 001; Carolin Lawrence; Ammar Shaker; Raman Siarheyeu (ICDM, 2022)

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. - Stephen Friess; Peter Tino; Stefan Menzel; Zhao Xu 001; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2022)

A Human-Centric Assessment Framework for AI. - Sascha Saralajew; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Wiem Ben Rim; Jürgen Quittek; Carolin Lawrence (CoRR, 2022)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. - Antonio Di Mauro; Zhao Xu 001; Wiem Ben Rim; Timo Sztyler; Carolin Lawrence (ACL (1), 2024)

A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. - Zhao Xu 001; Wiem Ben Rim; Kiril Gashteovski; Timo Sztyler; Carolin Lawrence (EACL (Demonstrations), 2024)

An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. - Giuseppe Serra 002; Peter Tino; Zhao Xu 001; Xin Yao 001 (IJCNN, 2024)

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. - Wiem Ben Rim; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Carolin Lawrence; Jürgen Quittek; Sascha Saralajew (ECML/PKDD (5), 2024)

Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. - Gan Ruan; Leandro L. Minku; Zhao Xu 001; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)