Scholars

Qian, Xiaoning

Associate Professor

Positions:

Associate Professor, Electrical and Computer Engineering, College of Engineering

Single Page Bio

xqian@tamu.edu

1 979 845 7441

Co-author Network

Map of Science

Co-investigator Network

Websites

Personal Webpage

ORCID

0000-0002-4347-2476

overview

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.

education and training

Ph.D. in , Yale University - (New Haven, Connecticut, United States)

selected publications

Academic Articles90

Karbalayghareh, A., Qian, X., & Dougherty, E. R. (2021). Optimal Bayesian Transfer Learning for Count Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2), 644-655.
Yoon, B., Qian, X., & Dougherty, E. R. (2021). Quantifying the Multi-Objective Cost of Uncertainty. IEEE Access. 9, 80351-80359.
Nagashima, Y., He, K., Singh, J., Metrani, R., Crosby, K. M., Jifon, J., ... Koiwa, H. (2020). Transition of aromatic volatile and transcriptome profiles during melon fruit ripening. Plant Science. 304, 110809-110809.
Zhao, G., Qian, X., Yoon, B., Alexander, F. J., & Dougherty, E. R. (2020). Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems. IEEE Transactions on Signal Processing. 68, 3849-3859.
Tsai, C., Hsu, K., Lin, Y., Qian, X., & Chuang, Y. (2020). Deep Co-Saliency Detection via Stacked Autoencoder-Enabled Fusion and Self-Trained CNNs. IEEE Transactions on Multimedia. 22(4), 1016-1031.

Chapters1

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.

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.
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.
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.
Karbalayghareh, A., Qian, X., & Dougherty, E. R. (2018). Optimal Bayesian Transfer Learning for Classifying Multivariate Gaussian Observations. 00, 1-4.
Boluki, S., Dadaneh, S. Z., Qian, X., & Dougherty, E. R. (2018). Optimal Clustering with Missing Values. 593-594.