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Heterogeneous learning deals with data from complex real-world applications such as social networks, biological networks, internet of things, etc. Heterogeneity could be found in multi-task learning, multi-view learning, multi-label learning, and multi-instance learning. In this talk we will present our group’s recent progress in designing and implementing large-scale heterogeneous learning algorithms including multi-task learning and multi-view learning. The applications of this work in social network analysis and bioinformatics will be discussed as well.
Dr. Jun (Luke) Huan is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. At KU, he directs the Bioinformatics and Computational Life Sciences Laboratory at the Information and Telecommunication Technology Center (ITTC).
Dr. Huan works on data science, machine learning, data mining, big data, and interdisciplinary topics including bioinformatics. He has published more than 80 peer-reviewed papers in leading conferences and journals and has graduated more than ten graduate students, including six Ph.Ds. Dr. Huan serves the editorial board of several international journals including the Springer Journal of Big Data, Elsevier Journal of Big Data Research, and the International Journal of Data Mining and Bioinformatics. He regularly serves the program committee of top-tier international conferences on machine learning, data mining, big data, and bioinformatics.
Dr. Huan's research is recognized internationally. He was a recipient of the prestigious National Science Foundation Faculty Early Career Development Award in 2009. His group won the Best Student Paper Award at the IEEE International Conference on Data Mining in 2011 and the Best Paper Award (runner-up) at the ACM International Conference on Information and Knowledge Management in 2009. His work has appeared in mass media including Science Daily, R&D magazine, and EurekAlert (sponsored by AAAS). Dr. Huan's research was supported by NSF, NIH, DoD, and the University of Kansas.
Our hosts, Cerner, have generously offered to provide pizza and soda! So please keep your RSVP up to date if your plans change!
Dr. Jun (Luke) Huan is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. At KU, he directs the Bioinformatics and Computational Life Sciences Laboratory at the Information and Telecommunication Technology Center (ITTC).
Dr. Huan works on data science, machine learning, data mining, big data, and interdisciplinary topics including bioinformatics. He has published more than 80 peer-reviewed papers in leading conferences and journals and has graduated more than ten graduate students, including six Ph.Ds. Dr. Huan serves the editorial board of several international journals including the Springer Journal of Big Data, Elsevier Journal of Big Data Research, and the International Journal of Data Mining and Bioinformatics. He regularly serves the program committee of top-tier international conferences on machine learning, data mining, big data, and bioinformatics.
Dr. Huan's research is recognized internationally. He was a recipient of the prestigious National Science Foundation Faculty Early Career Development Award in 2009. His group won the Best Student Paper Award at the IEEE International Conference on Data Mining in 2011 and the Best Paper Award (runner-up) at the ACM International Conference on Information and Knowledge Management in 2009. His work has appeared in mass media including Science Daily, R&D magazine, and EurekAlert (sponsored by AAAS). Dr. Huan's research was supported by NSF, NIH, DoD, and the University of Kansas.
Our hosts, Cerner, have generously offered to provide pizza and soda! So please keep your RSVP up to date if your plans change!
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