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Dr. Dengyong Zhou

Room number:	217
E-Mail:	dengyong.zhou[at]microsoft.com

Dengyong Zhou

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Articles (3):
•	Weston J , Leslie CS , Ie E , Zhou D , Elisseeff A and Noble WS (2005) Semi-supervised protein classification using cluster kernels Bioinformatics 21(15) 3241-3247.
•	Weston J , Elisseeff A , Zhou D , Leslie C and Noble WS (2004) Protein ranking: from local to global structure in the protein similarity network Proceedings of the National Academy of Science 101(17) 6559-6563.
•	Zhou D and Dai R (2001) The control structure of artificial creatures Artificial Life and Robotics 5(3).
Conference papers (11):
•	Zhou D , Huang J and Schölkopf B (September-2007) Learning with Hypergraphs: Clustering, Classification, and Embedding In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1601-1608.
•	Huang J , Zhu T , Rereiner R , Zhou D and Schuurmans D (September-2006) Information Marginalization on Subgraphs In: ECML/PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Springer, Berlin, Germany, 199-210.
•	Bandos TV , Zhou D and Camps-Valls G (August-2006) Semi-supervised Hyperspectral Image Classification with Graphs In: IGARSS 2006, IEEE International Conference on Geoscience and Remote Sensing, IEEE Computer Society, Los Alamitos, CA, USA, 3883-3886.
•	Zhou D , Huang J and Schölkopf B (August-2005) Learning from Labeled and Unlabeled Data on a Directed Graph In: Proceedings of the 22nd International Conference on Machine Learning, ICML 2005, 1041.
•	Zhou D and Schölkopf B (August-2005) Regularization on Discrete Spaces In: Pattern Recognition, the 27th DAGM Symposium, Springer, Berlin, Germany, 361-368.
•	Zhou D , Schölkopf B and Hofmann T (July-2005) Semi-supervised Learning on Directed Graphs In: Advances in Neural Information Processing Systems 17, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1633-1640.
•	Zhou D , Bousquet O , Lal TN , Weston J and Schölkopf B (June-2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
•	Zhou D , Weston J , Gretton A , Bousquet O and Schölkopf B (June-2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
•	Weston J , Leslie C , Zhou D , Elisseeff A and Noble WS (June-2004) Semi-Supervised Protein Classification using Cluster Kernels In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 595-602.
•	Zhou D and Schölkopf B (2004) A Regularization Framework for Learning from Graph Data ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields, 132-137.
•	Zhou D and Schölkopf B (2004) Learning from Labeled and Unlabeled Data Using Random Walks Pattern Recognition, Proceedings of the 26th DAGM Symposium, 237-244.
Contributions to books (1):
•	Zhou D and Schölkopf B : Discrete Regularization, 237-250. In: Semi-supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (November-2006).
Technical reports (7):
•	Zhou D , Huang J and Schölkopf B : Beyond Pairwise Classification and Clustering Using Hypergraphs, 143, Max Planck Institute for Biological Cybernetics, (August-18-2005).
•	Yu K , Tresp V and Zhou D : Semi-Supervised Induction, 141, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (August-2004).
•	Zhou D and Schölkopf B : Learning from Labeled and Unlabeled Data Using Random Walks, (2004).
•	Zhou D and Schölkopf B : Transductive Inference with Graphs, (2004).
•	Zhou D , Bousquet O , Lal TN , Weston J and Schölkopf B : Learning with Local and Global Consistency, 112, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (June-2003).
•	Zhou D , Weston J , Gretton A , Bousquet O and Schölkopf B : Ranking on Data Manifolds, 113, Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, (June-2003).
•	Zhou D , Xiao B , Zhou H and Dai R : Global Geometry of SVM Classifiers, (June-2002).
Theses (1):
•	Zhou D : Intelligence as a Complex System, (2000). PhD thesis
Talks (7):
•	Zhou D (December-10-2005): Spectral clustering and transductive inference for graph data, NIPS 2005 Workshop on Kernel Methods and Structured Domains, Whistler, BC, Canada.
•	Zhou D (August-2005): Learning from Labeled and Unlabeled Data on a Directed Graph, The 22nd International Conference on Machine Learning, Bonn, Germany.
•	Zhou D (October-18-2004): Discrete vs. Continuous: Two Sides of Machine Learning, Department of Computer science, and the Center of Computational Learning Systems, Columbia University, New York.
•	Zhou D (October-12-2004): Discrete vs. Continuous: Two Sides of Machine Learning, IBM Watson Research Center, Yorktown Heights, New York.
•	Zhou D (October-5-2004): How to learn from very few examples?, Google labs , New York.
•	Zhou D (June-25-2004): Riemannian Geometry on Graphs and its Application to Ranking and Classification, DIMACS Working Group on The Mathematics of Web Search and Meta-Search, Bertorino, Italy.
•	Zhou D (January-2004): Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking, The Natural Language Computing Group of Microsoft Research Asia, and the Institute of System Sciences, the Chinese Academy of Sciences, Beijing, China.