Congratulations to our lab alumnus, Dr. Changzhe Jiao, on accepting a Tenure-Track Assistant Professor position at Xidian University in Xi’an, China!  Great News! We are excited to follow your research career as you move forward!

Read more about Changzhe’s research in our lab here: 

C. Jiao, A. Zare, and R. McGarvey, “Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection,” Under Review.

C. Jiao, B. Su, P. Lyons, A. Zare, K. C. Ho and M. Skubic, “Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms,” Under Review.

C. Jiao, “Target Concept Learning From Ambiguously Labeled Data,” Ph.D. Thesis, Columbia, MO, 2017.

A. Zare, C. Jiao, and T. Glenn, “Discriminative Multiple Instance Hyperspectral Target Characterization,” IEEE Trans. Pattern Anal. Mach. Intell., To Be Published.

C. Jiao and A. Zare, “Multiple Instance Hybrid Estimator for Learning Target Signatures” Proc. IEEE Intl. Geosci. Remote Sens. Symp. (IGARSS), Fort Worth, TX, 2017.

C. Jiao, P. Lyons, A. Zare, L. Rosales, and M. Skubic, “Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances,” in Proc. EMBC, 2016.

C. Jiao and A. Zare, “Multiple Instance Dictionary Learning using Functions of Multiple Instances,” in Int. Conf. Pattern Recognition (ICPR), 2016.

C. Jiao and A. Zare, “Functions of Multiple Instances for Learning Target Signatures,” IEEE Trans. Geosci. Remote Sens., vol. 53, iss. 8, pp. 4670-4686, 2015.

A. Zare and C. Jiao, “Functions of multiple instances for sub-pixel target characterization in hyperspectral imagery,” in Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 2015.

A. Zare and C. Jiao, “Extended functions of multiple instances for target characterization,” in 6th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014.