Publications of J Huang

Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, pp. 131 - 160 (Eds. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)

Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Schölkopf, B.: Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, pp. 601 - 608 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)

Zhou, D.; Huang, J.; Schölkopf, B.: Learning with Hypergraphs: Clustering, Classification, and Embedding. In: Advances in Neural Information Processing Systems 19, pp. 1601 - 1608 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)

Zhou, D.; Huang, J.; Schölkopf, B.: Learning from Labeled and Unlabeled Data on a Directed Graph. In: ICML '05: 22nd international conference on Machine learning, pp. 1036 - 1043 (Eds. Jozef Stefan Institute, Slovenia Program Chairs: Luc D, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)

Zhou, D.; Huang, J.; Schölkopf, B.: Beyond pairwise classification and clustering using hypergraphs. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)

Huang, J.: A Combinatorial View of Graph Laplacians (Technical Report of the Max Planck Institute for Biological Cybernetics, 144). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 9 pp.

Zhou, D.; Huang, J.; Schölkopf, B.: Beyond Pairwise Classification and Clustering Using Hypergraphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 143). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 pp.