| 2023 | IDA | Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. | Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt |
| 2023 | RecSys | ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. | Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2022 | ICLR | Topologically Regularized Data Embeddings. | Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys |
| 2021 | DSAA | Conditional t-SNE: More informative t-SNE embeddings. | Bo Kang, Dario Garca-Garca, Jefrey Lijffijt, Ral Santos-Rodrguez, Tijl De Bie |
| 2020 | CIKM | CSNE: Conditional Signed Network Embedding. | Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie |
| 2020 | DSAA | Block-Approximated Exponential Random Graphs. | Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie |
| 2020 | DSAA | Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? | Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie |
| 2020 | DSAA | FONDUE: Framework for Node Disambiguation Using Network Embeddings. | Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2020 | IDA | Gibbs Sampling Subjectively Interesting Tiles. | Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Cline Robardet, Tijl De Bie |
| 2020 | SDM | Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. | Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2019 | CIKM | Discovering Interesting Cycles in Directed Graphs. | Florian Adriaens, igdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt |
| 2019 | ICLR | Conditional Network Embeddings. | Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2019 | ICLR | EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. | Alexandru Mara, Jefrey Lijffijt, Tijl De Bie |
| 2019 | KDD | Contrastive Antichains in Hierarchies. | Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Cline Robardet, Tijl De Bie |
| 2019 | SDM | EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. | Alexandru Mara, Jefrey Lijffijt, Tijl De Bie |
| 2018 | ICDE | Subjectively Interesting Subgroup Discovery on Real-Valued Targets. | Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamki, Emilia Oikarinen, Tijl De Bie |
| 2018 | ICDE | Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. | Kai Puolamki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2018 | KDD | Quantifying and Minimizing Risk of Conflict in Social Networks. | Xi Chen, Jefrey Lijffijt, Tijl De Bie |
| 2017 | IDA | Hierarchical Novelty Detection. | Paolo Simeone, Ral Santos-Rodrguez, Matt McVicar, Jefrey Lijffijt, Tijl De Bie |
| 2016 | ESANN | Informative data projections: a framework and two examples. | Tijl De Bie, Jefrey Lijffijt, Ral Santos-Rodrguez, Bo Kang |
| 2016 | ICDM | Direct Mining of Subjectively Interesting Relational Patterns. | Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie |
| 2016 | KDD | Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. | Bo Kang, Jefrey Lijffijt, Ral Santos-Rodriguez, Tijl De Bie |
| 2015 | DSAA | P-N-RMiner: A generic framework for mining interesting structured relational patterns. | Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie |
| 2015 | ICWSM | Covering the Egonet: A Crowdsourcing Approach to Social Circle Discovery on Twitter. | Karmen Lata Dykstra, Jefrey Lijffijt, Aristides Gionis |
| 2010 | ICDM | Visually Controllable Data Mining Methods. | Kai Puolamki, Panagiotis Papapetrou, Jefrey Lijffijt |