Liang Lan
Title
Cited by
Cited by
Year
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
6772013
Promises and challenges of big data computing in health sciences
T Huang, L Lan, X Fang, P An, J Min, F Wang
Big Data Research 2 (1), 2-11, 2015
1662015
Scaling up kernel svm on limited resources: A low-rank linearization approach
L Lan, Z Wang, S Zhe, W Cheng, J Wang, K Zhang
IEEE Transactions on Neural Networks and Learning Systems 30, 369--378, 2019
114*2019
Scaling up kernel svm on limited resources: A low-rank linearization approach
K Zhang, L Lan, Z Wang, F Moerchen
Artificial intelligence and statistics, 1425-1434, 2012
1142012
MS-k NN: protein function prediction by integrating multiple data sources
L Lan, N Djuric, Y Guo, S Vucetic
BMC bioinformatics 14 (S3), S8, 2013
772013
Budgetedsvm: A toolbox for scalable svm approximations
N Djuric, L Lan, S Vucetic, Z Wang
The Journal of Machine Learning Research 14 (1), 3813-3817, 2013
552013
Mixture model for multiple instance regression and applications in remote sensing
Z Wang, L Lan, S Vucetic
IEEE Transactions on Geoscience and Remote Sensing 50 (6), 2226-2237, 2011
342011
Scaling up graph-based semisupervised learning via prototype vector machines
K Zhang, L Lan, JT Kwok, S Vucetic, B Parvin
IEEE transactions on neural networks and learning systems 26 (3), 444-457, 2014
312014
Improving accuracy of microarray classification by a simple multi-task feature selection filter
L Lan, S Vucetic
International journal of data mining and bioinformatics 5 (2), 189-208, 2011
252011
Oceanrt: Real-time analytics over large temporal data
S Zhang, Y Yang, W Fan, L Lan, M Yuan
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
192014
Sparse semi-supervised learning on low-rank kernel
K Zhang, Q Wang, L Lan, Y Sun, I Marsic
Neurocomputing 129, 265-272, 2014
142014
Inductive kernel low-rank decomposition with priors: A generalized nystrom method
K Zhang, L Lan, J Liu, F Moerchen
arXiv preprint arXiv:1206.4619, 2012
102012
An Active Learning Algorithm Based on Parzen Window Classiffication
L Lan, H Shi, Z Wang, S Vucetic
Active Learning and Experimental Design workshop In conjunction with AISTATS …, 2011
92011
Multi-task feature selection in microarray data by binary integer programming
L Lan, S Vucetic
BMC proceedings 7 (7), S5, 2013
72013
Spatial scan for disease mapping on a mobile population
L Lan, V Malbasa, S Vucetic
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
52014
Low-rank decomposition meets kernel learning: A generalized Nyström method
L Lan, K Zhang, H Ge, W Cheng, J Liu, A Rauber, XL Li, J Wang, H Zha
Artificial Intelligence 250, 1-15, 2017
42017
Location Prediction with Sparse GPS Data
A Jaiswal, Y Chiang, CA Knoblock, L Lan
Proceedings of the 8th International Conference on Geographic Information …, 2014
32014
A multi-task feature selection filter for microarray classification
L Lan, S Vucetic
2009 IEEE International Conference on Bioinformatics and Biomedicine, 160-165, 2009
32009
Improved Subsampled Randomized Hadamard Transform for Linear SVM
Z Lei, L Lan
arXiv preprint arXiv:2002.01628, 2020
2020
Accurate and Interpretable Factorization Machines
L Lan, Y Geng
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4139-4146, 2019
2019
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Articles 1–20