Qian, Xiaoning individual record
Associate Professor

Xiaoning Qian's research interests include machine learning and Bayesian experimental design as well as their applications in computational network biology, genomic signal processing, and biomedical signal and image analysis. He is affiliated with the Center for Bioinformatics and Genomic Systems Engineering and the Center for Translational Environmental Health Research at Texas A&M.

selected publications
Academic Articles90
  • Lu, M., He, K., Huang, J. Z., & Qian, X. (2017). Principal Component Analysis for Exponential Family Data. Advances in Principal Component Analysis. (pp. 193-223). Springer Singapore.
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Conference Papers62
  • Hu, H., Fang, Y., Jin, R., Xiong, W., Qian, X., Dou, D., & Phan, H. (2018). Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. IEEE Symposium on FPGAs for Custom Computing Machines, Proceedings. 2018-November, 395-400.
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  • Dehghannasiri, R., Qian, X., & Dougherty, E. R. (2018). Robust Smoothing for State-Space Models with Unknown Noise Statistics. 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. 00, 1024-1028.
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  • Hsu, K., Tsai, C., Lin, Y., Qian, X., & Chuang, Y. (2018). Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization. ADVANCES IN NEURAL NETWORKS - ISNN 2014. 11209, 502-518.
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  • Karbalayghareh, A., Qian, X., & Dougherty, E. R. (2018). Optimal Bayesian Transfer Learning for Classifying Multivariate Gaussian Observations. 00, 1-4.
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  • Boluki, S., Dadaneh, S. Z., Qian, X., & Dougherty, E. R. (2018). Optimal Clustering with Missing Values. 593-594.
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researcher on
chaired theses and dissertations
First Name
Last Name
mailing address
Texas A&M University; Electrical Engineering; 3128 TAMU
College Station, TX 77843-3128