Liang Lan
Cited by
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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
Artificial intelligence: A powerful paradigm for scientific research
Y Xu, X Liu, X Cao, C Huang, E Liu, S Qian, X Liu, Y Wu, F Dong, CW Qiu, ...
The Innovation 2 (4), 2021
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
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
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
MS-k NN: protein function prediction by integrating multiple data sources
L Lan, N Djuric, Y Guo, S Vucetic
BMC bioinformatics 14, 1-10, 2013
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
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
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
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
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data
J Chen, CW Cheong, L Lan, X Zhou, J Liu, A Lyu, WK Cheung, L Zhang
Briefings in bioinformatics 22 (6), bbab325, 2021
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
Sparse semi-supervised learning on low-rank kernel
K Zhang, Q Wang, L Lan, Y Sun, I Marsic
Neurocomputing 129, 265-272, 2014
WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration
X Zhang, L Lan, JCP Chan, LLD Zhong, CW Cheng, WC Lam, R Tian, ...
BMC medical research methodology 20, 1-14, 2020
Spatial scan for disease mapping on a mobile population
L Lan, V Malbasa, S Vucetic
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Accurate and interpretable factorization machines
L Lan, Y Geng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4139-4146, 2019
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
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
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
Improved subsampled randomized hadamard transform for linear svm
Z Lei, L Lan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4519-4526, 2020
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