Buyue Qian

According to our database1, Buyue Qian authored at least 36 papers between 2009 and 2019.

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Bibliography

2019
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.
Inf. Sci., 2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Spatial Attention Lesion Detection on Automated Breast Ultrasound.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification.
IEEE Trans. Image Processing, 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Discovering Models from Structural and Behavioral Brain Imaging Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Sparse Relational Topical Coding on multi-modal data.
Pattern Recognition, 2017

Butler, Not Servant: A Human-Centric Smart Home Energy Management System.
IEEE Communications Magazine, 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Constrained Spectral Clustering via the Randomized Projected Power Method.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Sparse Multi-Modal Topical Coding for Image Annotation.
Neurocomputing, 2016

Nonparametric models for characterizing the topical communities in social network.
Neurocomputing, 2016

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

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

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

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

Efficient hierarchical clustering of large high dimensional datasets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Alarm prediction in large-scale sensor networks - A case study in railroad.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

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

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
Semi-Supervised Dimension Reduction for Multi-Label Classification.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Spectral Kernel Learning for Semi-Supervised Classification.
Proceedings of the IJCAI 2009, 2009


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