Publications

Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, and Chengxiang Zhai. Temporal Reflected Logistic Regression for Probabilistic Heart Failure Survival Score Prediction. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017. [Paper] [Slides] [Code]

Mingjie Qian, Liangjie Hong, Yue Shi, and Suju Rajan. Structured Sparse Regression for Recommender Systems. In Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM 2015). Melbourne, Australia, 2015. [Paper] [Code]

Mingjie Qian. Unsupervised Feature Analysis for High Dimensional Big Data. University of Illinois at Urbana-Champaign, 2015. [Dissertation]

Mingjie Qian and Chengxiang Zhai. Joint Adaptive Loss and L2/L0-norm Minimization for Unsupervised Feature Selection. In Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN), 2015. Killarney, Ireland, 2015. [Paper] [Code]

Mingjie Qian and Chengxiang Zhai. Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data. In Proceedings of the 23rd ACM Conference on Information and Knowledge Management (CIKM 2014). Shanghai, China, 2014. [Paper] [Code]

Yichang Xu, Cheng Luo, Mingjie Qian, Xiaodi Huang, and Shanfeng Zhu. MHC2MIL: a Novel Multiple Instance Learning Based Method for MHC II Peptide Binding Prediction by Considering Peptide Flanking Region and Residue Positions. In Preceedings of the 13th International Conference on Bioinformatics (InCoB), 2014.

Mingjie Qian. Text-Image Topic Discovery for Web News Data. In Proceedings of the 36th European Conference on IR Research (ECIR 2014). Amsterdam, The Netherlands, 2014. [Paper] [Appendix] [Code]

Mingjie Qian and Chengxiang Zhai. Robust Unsupervised Feature Selection. In Proceedings of the 23rd International Joint Conference On Artificial Intelligence (IJCAI 2013). Beijing, China, 2013. [Paper] [Code] [Slides]

Mingjie Qian, Bo Chen, Hongzhi Xu, and Hongwei Qi. How About Utilizing Ordinal Information from the Distribution of Unlabeled Data? In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM 2010). Toronto, Ontario, Canada, 2010. [Paper] [Slides] [Code]

Mingjie Qian, Feiping Nie, and Changshui Zhang. Probabilistic Labeled Semi-supervised SVM. Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDMW 2009). Miami, Florida, USA, 2009. [Paper] [Slides] [Code]

Mingjie Qian, Feiping Nie, and Changshui Zhang. Efficient Multi-class Unlabeled Constrained Semi-supervised SVM. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009). New York, NY, USA, 2009. [Paper] [Code]

Bin Liu, Shuo Chen, Mingjie Qian, and Changshui Zhang. Sparse Norm-Regularized Reconstructive Coefficients Learning. IEEE International Conference on Data Mining series (ICDM 2009). Miami, FL, USA, 2009.

Shuo Chen, Bin Liu, Mingjie Qian, and Changshui Zhang. Kernel K-means Based Framework for Aggregate Outputs Classification. Workshop on Optimization Based Methods for Emerging Data Mining Problems, in Conjunction with the IEEE International Conference on Data Mining (ICDMW 2009). Miami, Florida, USA, 2009.

Shuo Chen, Bin Liu, Mingjie Qian, and Changshui Zhang. Instance- and Bag-Level Manifold Regularization for Aggregate Outputs Classification. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009). New York, NY, USA, 2009.