Below are some of the papers I have had published. Clicking on the title will download a PDF copy of the paper.
Su, Hongyu; Rousu, Juho. Multilabel Classification through Random Graph Ensembles. Machine Learning, Volume 99, Issue 2 (2015), Page 231-256, DOI: 10.1007/s10994-014-5465-9. [online] [preprint]
Su, Hongyu. Multilabel Classification through Structured Output Learning - Methods and Applications. Doctoral Dissertation, Aalto University School of Science, Feb 2015. [Library] [GitHub] [Draft] [Slides]
Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John Shawe-Taylor Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks. In Advances in Neural Information Processing Systems 27(NIPS 2014), 873–881 [preprent] [original] [code] [code with new inference algorithm] [data]
Su, Hongyu; Gionis, Aristides; Rousu, Juho. Structured Prediction of Network Response. In Proceedings of the 31th International Conference on Machine Learning (ICML 2014), Journal of Machine Learning Research (JMLR) W&CP 32:442–450 [original] [code] [data] [video]
Su, Hongyu; Rousu, Juho. Multilabel Classification through Random Graph Ensembles. In Proceedings of the 5th Asian Conference on Machine Learning (ACML 2013), Journal of Machine Learning Research (JMLR) W&CP 29:404–418 [original]
Su, Hongyu; Rousu, Juho. Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles. In Proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics (PRIB 2011), Springer Lecture Note in Computer Science (LNCS) 7035:157–167 [original] [data]
Su, Hongyu; Heinonen, Markus; Rousu, Juho. Structured Output Prediction of Anti-cancer Drug Activity. In Proceedings of the 5th International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Springer Lecture Note in Computer Science (LNCS) 6282:265–273 [original] [data]
Dong, Anguo; Lin, Gao; Zhou, Xiaofeng; Su, Hongyu. An Algebra Approach for Finding Frequent Subgraphs with Hamiltonian Cycle. In Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSDK 2007), IEEE Computer Society 3:288–292 [original]
Simon Cousins, John Shawe-Taylor, Mario Marchand, Juho Rousu, Hongyu Su. Multiple Kernel Learning for Prediction on Unknown Graph Structures. In the 8th NIPS Workshop on Optimization for Machine Learning (OPT 2015) - NIPS 2015
Hongyu Su, Giorgio Valentini, Sandor Szedmak, Juho Rousu. Transporter Protein Classification through Structured Prediction and Multiple Kernel Learning. In Workshops on Machine Learning in Computational Biology (MLCB) & Machine Learning in Systems Biology (MLSB) 2015 - NIPS 2015
Su, Hongyu; Gionis, Aristides; Rousu, Juho. Structured Prediction of Network Response. In International Workshop on Multi-Target Prediction - ECML 2014
Su, Hongyu; Rousu, Juho. Random Graph Ensembles in Multilabel Classification. In Object, Function and Structured Data: towards next Generation Kernel-Based Methods - ICML 2012 [original]
Su, Hongyu; Rousu, Juho. Multilabel Classification via Random Graph Labeling. In the 5th International Conference on ficial Intelligence and Statistics (AISTATS 2012) [original]
Su, Hongyu; Heinonen, Markus; Rousu, Juho. Multilabel Prediction of Drug Activity. In Proceedings of the 4th International Workshop on Machine Learning in Systems Biology (MLSB 2010), MLSB 2010 publication 67-70 [original]
Su, Hongyu; Heinonen, Markus; Rousu, Juho. Multilabel Classification of Drug-like Molecules via Max-margin Conditional Random Fields. In Proceedings of the 5th European Workshop on Probabilistic Graphical Models (PGM 2010), HIIT 2010 publication 2:67-70 [original]