Liang Lan, Ph.D.
Affiliations: | 2012 | Computer and Information Science | Temple University, Philadelphia, PA, United States |
Area:
Computer Science, Bioinformatics Biology, Information ScienceGoogle:
"Liang Lan"Parents
Sign in to add mentor| Slobodan Vucetic | grad student | 2012 | Temple University | |
| (Data mining algorithms for classification of complex biomedical data.) | ||||
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Publications
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| Lan L, Wang Z, Zhe S, et al. (2018) Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. Ieee Transactions On Neural Networks and Learning Systems |
| Lan L, Zhang K, Ge H, et al. (2017) Low-rank decomposition meets kernel learning: A generalized Nyström method Artificial Intelligence. 250: 1-15 |
| Zhang K, Lan L, Kwok JT, et al. (2015) Scaling up graph-based semisupervised learning via prototype vector machines. Ieee Transactions On Neural Networks and Learning Systems. 26: 444-57 |
| Zhang K, Wang Q, Lan L, et al. (2014) Sparse semi-supervised learning on low-rank kernel Neurocomputing. 129: 265-272 |
| Lan L, Vucetic S. (2013) Multi-task feature selection in microarray data by binary integer programming. Bmc Proceedings. 7: S5 |
| Lan L, Djuric N, Guo Y, et al. (2013) MS-kNN: protein function prediction by integrating multiple data sources. Bmc Bioinformatics. 14: S8 |
| Radivojac P, Clark WT, Oron TR, et al. (2013) A large-scale evaluation of computational protein function prediction. Nature Methods. 10: 221-7 |
| Wang Z, Lan L, Vucetic S. (2012) Mixture Model for Multiple Instance Regression and Applications in Remote Sensing Ieee Transactions On Geoscience and Remote Sensing. 50: 2226-2237 |
| Lan L, Vucetic S. (2011) Improving accuracy of microarray classification by a simple multi-task feature selection filter. International Journal of Data Mining and Bioinformatics. 5: 189-208 |