Xiang Wang

Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
  • University Of California, Davis, CA, USA (former)


According to our database1, Xiang Wang authored at least 26 papers between 2009 and 2015.

Collaborative distances:

Timeline

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Bibliography

2015
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.
IEEE Trans. Knowl. Data Eng., 2015

Towards actionable risk stratification: A bilinear approach.
J. Biomed. Informatics, 2015

A relative similarity based method for interactive patient risk prediction.
Data Min. Knowl. Discov., 2015

Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Propagating Ranking Functions on a Graph: Algorithms and Applications.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning Multiple Relative Attributes With Humans in the Loop.
IEEE Trans. Image Process., 2014

On constrained spectral clustering and its applications.
Data Min. Knowl. Discov., 2014

Self-Taught Spectral Clustering via Constraint Augmentation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Clinical risk prediction with multilinear sparse logistic regression.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Unsupervised learning of disease progression models.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Exploring Joint Disease Risk Prediction.
Proceedings of the AMIA 2014, 2014

Clinical Risk Prediction by Exploring High-Order Feature Correlations.
Proceedings of the AMIA 2014, 2014

2013
Multi-objective Multi-view Spectral Clustering via Pareto Optimization.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning to Rank using Pairwise Supervision.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning from Relative Queries.
Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering with Complex Constraints - Algorithms and Applications.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Topic Mining over Asynchronous Text Sequences.
IEEE Trans. Knowl. Data Eng., 2012

A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning
CoRR, 2012

Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving document clustering using automated machine translation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Flexible constrained spectral clustering.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Active Spectral Clustering.
Proceedings of the ICDM 2010, 2010

2009
Discovering Contexts and Contextual Outliers Using Random Walks in Graphs.
Proceedings of the ICDM 2009, 2009


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