Zhao Xu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 14

Top Topics

Evolutionary Optimization

Feature Extractors

Search Behavior

Top Venues

Publications

Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) (2024)
Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) (2024)
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 (2024)
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
Uncertainty Propagation in Node Classification. CoRR (2023)
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
Learning Sparsity of Representations with Discrete Latent Variables. CoRR (2023)
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 (2022)
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 (2022)
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
Uncertainty Propagation in Node Classification. ICDM (2022)
Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN (2022)
Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN (2021)
Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao
Interpreting Node Embedding with Text-labeled Graphs. IJCNN (2021)
Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
Learning Sparsity of Representations with Discrete Latent Variables. IJCNN (2021)
Zhao Xu, Kristian Kersting, Lorenzo von Ritter
Stochastic Online Anomaly Analysis for Streaming Time Series. IJCAI (2017)
Zhao Xu, Romain Vial, Kristian Kersting
Graph Enhanced Memory Networks for Sentiment Analysis. ECML/PKDD (1) (2017)
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
Infinite Hidden Relational Models. CoRR (2012)
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)
Zhao Xu, Kristian Kersting, Christian Bauckhage
Efficient Learning for Hashing Proportional Data. ICDM (2012)
Zhao Xu, Kristian Kersting
Multi-task Learning with Task Relations. ICDM (2011)
Zhao Xu, Kristian Kersting, Thorsten Joachims
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. ECML/PKDD (3) (2010)
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
Topic Models Conditioned on Relations. ECML/PKDD (3) (2010)
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz
Stacked Gaussian Process Learning. ICDM (2009)
Kristian Kersting, Zhao Xu
Learning Preferences with Hidden Common Cause Relations. ECML/PKDD (1) (2009)
Zhao Xu, Kristian Kersting, Volker Tresp
Multi-Relational Learning with Gaussian Processes. IJCAI (2009)
Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting
Social Network Mining with Nonparametric Relational Models. SNAKDD (2008)
Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel
Fast Inference in Infinite Hidden Relational Models. MLG (2007)
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
Infinite Hidden Relational Models. UAI (2006)
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
Stochastic Relational Models for Discriminative Link Prediction. NIPS (2006)
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel
Dirichlet enhanced relational learning. ICML (2005)
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang
Representative Sampling for Text Classification Using Support Vector Machines. ECIR (2003)
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)
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR (2003)