| 2025 | ICLR | Generative Flows on Synthetic Pathway for Drug Design. | Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim |
| 2025 | ICML | Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. | Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio |
| 2025 | ICML | Compositional Flows for 3D Molecule and Synthesis Pathway Co-design. | Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester |
| 2025 | PAKDD | Informed Augmentation Selection Improves Tabular Contrastive Learning. | Arash Khoeini, Shuman Peng, Martin Ester |
| 2024 | AAAI | Adversarially Balanced Representation for Continuous Treatment Effect Estimation. | Amirreza Kazemi, Martin Ester |
| 2024 | ICLR | IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. | Yuzhen Mao, Martin Ester, Ke Li |
| 2021 | KDD | Interpretable Drug Response Prediction using a Knowledge-based Neural Network. | Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester |
| 2021 | KDD | H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. | Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang |
| 2021 | PSB | ParKCa: Causal Inference with Partially Known Causes. | Raquel Aoki, Martin Ester |
| 2020 | AAAI | DGE: Deep Generative Network Embedding Based on Commonality and Individuality. | Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang |
| 2020 | CIKM | Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. | Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li |
| 2020 | KDD | CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. | Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester |
| 2020 | KDD | Heidegger: Interpretable Temporal Causal Discovery. | Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester |
| 2020 | WWW | Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. | Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang |
| 2019 | CIKM | Multi-task based Sales Predictions for Online Promotions. | Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang |
| 2018 | CIKM | Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. | Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang |
| 2018 | CIKM | Device-Aware Rule Recommendation for the Internet of Things. | Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai |
| 2018 | CIKM | PRRE: Personalized Relation Ranking Embedding for Attributed Networks. | Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang |
| 2018 | ICDM | Social Recommendation with Missing Not at Random Data. | Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen |
| 2018 | IJCAI | ANRL: Attributed Network Representation Learning via Deep Neural Networks. | Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang |
| 2018 | KDD | Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. | Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang |
| 2018 | WWW | ROSC: Robust Spectral Clustering on Multi-scale Data. | Xiang Li, Ben Kao, Siqiang Luo, Martin Ester |
| 2018 | WWW | Joint User- and Event- Driven Stable Social Event Organization. | Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester |
| 2017 | CIKM | Interactive Social Recommendation. | Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester |
| 2017 | WWW | Semi-supervised Clustering in Attributed Heterogeneous Information Networks. | Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng |
| 2017 | WWW | Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. | Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen |
| 2016 | AAAI | Community-Based Question Answering via Heterogeneous Social Network Learning. | Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester |
| 2016 | AAAI | Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. | Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu |
| 2016 | CIKM | Social Recommendation with Strong and Weak Ties. | Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen |
| 2016 | ISI | Activity monitoring using topic models. | Boshra Nabaei, Martin Ester |
| 2016 | KDD | The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. | Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
| 2016 | PSB | Bayesian Biclustering for Patient Stratification. | Sahand Khakabimamaghani, Martin Ester |
| 2016 | WWW | Which to View: Personalized Prioritization for Broadcast Emails. | Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
| 2016 | WSDM | Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. | Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester |
| 2016 | WSDM | CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering. | Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Yang |
| 2015 | ICDM | Spatio-Temporal Topic Models for Check-in Data. | Yu Liu, Martin Ester, Bo Hu, David W. Cheung |
| 2015 | WWW | Detecting Singleton Review Spammers Using Semantic Similarity. | Vlad Sandulescu, Martin Ester |
| 2015 | WSDM | FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. | Yao Wu, Martin Ester |
| 2014 | AAAI | Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. | Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai |
| 2014 | EMNLP | A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. | Hao Wang, Martin Ester |
| 2014 | ICDM | Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks. | Bo Hu, Martin Ester |
| 2014 | KDD | Spatially embedded co-offence prediction using supervised learning. | Mohammad A. Tayebi, Martin Ester, Uwe Glsser, Patricia L. Brantingham |
| 2013 | ICDM | Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. | Bo Hu, Mohsen Jamali, Martin Ester |
| 2013 | KDD | Finding contexts of social influence in online social networks. | Jennifer H. Nguyen, Bo Hu, Stephan Gnnemann, Martin Ester |
| 2013 | RecSys | RecSys challenge 2013. | Jim Blomo, Martin Ester, Marty Field |
| 2013 | RecSys | Recommendation in social networks. | Martin Ester |
| 2013 | RecSys | Spatial topic modeling in online social media for location recommendation. | Bo Hu, Martin Ester |
| 2013 | WWW | The FLDA model for aspect-based opinion mining: addressing the cold start problem. | Samaneh Moghaddam, Martin Ester |
| 2012 | CIKM | On the design of LDA models for aspect-based opinion mining. | Samaneh Moghaddam, Martin Ester |
| 2012 | ICDM | Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. | Stephan Gnnemann, Phuong Dao, Mohsen Jamali, Martin Ester |
| 2012 | SIGIR | Aspect-based opinion mining from product reviews. | Samaneh Moghaddam, Martin Ester |
| 2012 | WSDM | ETF: extended tensor factorization model for personalizing prediction of review helpfulness. | Samaneh Moghaddam, Mohsen Jamali, Martin Ester |
| 2011 | CIKM | Review recommendation: personalized prediction of the quality of online reviews. | Samaneh Moghaddam, Mohsen Jamali, Martin Ester |
| 2011 | ICDM | AQA: Aspect-based Opinion Question Answering. | Samaneh Moghaddam, Martin Ester |
| 2011 | IJCAI | A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks. | Mohsen Jamali, Martin Ester |
| 2011 | RecSys | A generalized stochastic block model for recommendation in social rating networks. | Mohsen Jamali, Tianle Huang, Martin Ester |
| 2011 | RecSys | CrimeWalker: a recommendation model for suspect investigation. | Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glsser, Richard Frank |
| 2011 | WWW | Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns. | Mohsen Jamali, Gholamreza Haffari, Martin Ester |
| 2011 | SIGIR | ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. | Samaneh Moghaddam, Martin Ester |
| 2010 | CIKM | Supervised identification and linking of concept mentions to a domain-specific ontology. | Gabor Melli, Martin Ester |
| 2010 | CIKM | Opinion digger: an unsupervised opinion miner from unstructured product reviews. | Samaneh Moghaddam, Martin Ester |
| 2010 | DASFAA | FVC: A Feature-Vector-Based Classification for XML Dissemination. | Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou |
| 2010 | ICDE | Evaluating skylines in the presence of equijoins. | Wen Jin, Michael D. Morse, Jignesh M. Patel, Martin Ester, Zengjian Hu |
| 2010 | ICDM | Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks. | Mohsen Jamali, Martin Ester |
| 2010 | RecSys | A matrix factorization technique with trust propagation for recommendation in social networks. | Mohsen Jamali, Martin Ester |
| 2010 | WISE | A Data Mining Approach to XML Dissemination. | Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou |
| 2009 | KDD | A multi-relational approach to spatial classification. | Richard Frank, Martin Ester, Arno J. Knobbe |
| 2009 | KDD | Untitled record | Mohsen Jamali, Martin Ester |
| 2009 | PSB | Dense Graphlet Statistics of Protein Interaction and Random Networks. | Recep Colak, Fereydoun Hormozdiari, Flavia Moser, Alexander Schnhuth, J. Holman, Martin Ester, Sleyman Cenk Sahinalp |
| 2009 | RecSys | Using a trust network to improve top-N recommendation. | Mohsen Jamali, Martin Ester |
| 2009 | RecSys | FeedbackTrust: using feedback effects in trust-based recommendation systems. | Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi |
| 2009 | SDM | Mining Cohesive Patterns from Graphs with Feature Vectors. | Flavia Moser, Recep Colak, Arash Rafiey, Martin Ester |
| 2009 | WABI | Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks. | Phuong Dao, Alexander Schnhuth, Fereydoun Hormozdiari, Iman Hajirasouliha, Sleyman Cenk Sahinalp, Martin Ester |
| 2007 | ICDE | The Multi-Relational Skyline Operator. | Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han |
| 2007 | KDD | Efficient incremental constrained clustering. | Ian Davidson, S. S. Ravi, Martin Ester |
| 2007 | KDD | The minimum consistent subset cover problem and its applications in data mining. | Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong |
| 2007 | KDD | Constraint-driven clustering. | Rong Ge, Martin Ester, Wen Jin, Ian Davidson |
| 2007 | KDD | Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. | Flavia Moser, Rong Ge, Martin Ester |
| 2007 | VLDB | On Dominating Your Neighborhood Profitably. | Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester |
| 2007 | SSDBM | On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. | Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han |
| 2006 | ICDM | Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. | Byron J. Gao, Martin Ester |
| 2006 | ICDM | P3C: A Robust Projected Clustering Algorithm. | Gabriela Moise, Jrg Sander, Martin Ester |
| 2006 | KDD | Discovering significant OPSM subspace clusters in massive gene expression data. | Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones |
| 2006 | SDM | Density-Based Clustering over an Evolving Data Stream with Noise. | Feng Cao, Martin Ester, Weining Qian, Aoying Zhou |
| 2006 | SDM | Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. | Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe |
| 2006 | SDM | Cluster Description Formats, Problems and Algorithms. | Byron J. Gao, Martin Ester |
| 2006 | SSDBM | A Disc-based Approach to Data Summarization and Privacy Preservation. | Rong Ge, Martin Ester, Wen Jin, Zengjian Hu |
| 2005 | VLDB | Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. | Jian Pei, Wen Jin, Martin Ester, Yufei Tao |
| 2004 | KDD | A microeconomic data mining problem: customer-oriented catalog segmentation. | Martin Ester, Rong Ge, Wen Jin, Zengjian Hu |
| 2004 | VLDB | Accurate and Efficient Crawling for Relevant Websites. | Martin Ester, Hans-Peter Kriegel, Matthias Schubert |
| 2004 | SDM | A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. | Martin Ester, Xiang Zhang |
| 2003 | KDD | Frequent-subsequence-based prediction of outer membrane proteins. | Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman |
| 2003 | SDM | Hierarchical Document Clustering using Frequent Itemsets. | Benjamin C. M. Fung, Ke Wang, Martin Ester |
| 2002 | KDD | Frequent term-based text clustering. | Florian Beil, Martin Ester, Xiaowei Xu |
| 2002 | KDD | Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. | Martin Ester, Hans-Peter Kriegel, Matthias Schubert |
| 2002 | SDM | Instance Selection Techniques for Memory-based Collaborative Filtering. | Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel |
| 2001 | CIKM | Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. | Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel |
| 2000 | ICDE | Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. | Bernhard Braunmller, Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 2000 | ICDE | The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses. | Martin Ester, Jrn Kohlhammer, Hans-Peter Kriegel |
| 2000 | KDD | Towards an effective cooperation of the user and the computer for classification. | Mihael Ankerst, Martin Ester, Hans-Peter Kriegel |
| 1999 | BTW | Database Primitives for Spatial Data Mining. | Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jrg Sander |
| 1999 | KDD | Visual Classification: An Interactive Approach to Decision Tree Construction. | Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel |
| 1999 | KI | Knowledge Discovery in Spatial Databases. | Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 1998 | EDBT | Incremental Generalization for Mining in a Data Warehousing Environment. | Martin Ester, Rdiger Wittmann |
| 1998 | ICDE | A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. | Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jrg Sander |
| 1998 | KDD | Algorithms for Characterization and Trend Detection in Spatial Databases. | Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jrg Sander |
| 1998 | VLDB | Incremental Clustering for Mining in a Data Warehousing Environment. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Michael Wimmer, Xiaowei Xu |
| 1997 | KDD | Density-Connected Sets and their Application for Trend Detection in Spatial Databases. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Xiaowei Xu |
| 1996 | KDD | A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. | Martin Ester, Hans-Peter Kriegel, Jrg Sander, Xiaowei Xu |
| 1995 | BTW | Formbasierte Suche nach komplementren 3D-Oberflchen in einer Protein-Datenbank. | Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu |
| 1995 | KDD | A Database Interface for Clustering in Large Spatial Databases. | Martin Ester, Hans-Peter Kriegel, Xiaowei Xu |