| 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 | 1048 | 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 | 582 | 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 | 268 | 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 | 197* | 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 | 197 | 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 | 192 | 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 | 69 | 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 | 49 | 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 | 47 | 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 | 40 | 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 | 32 | 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 | 28 | 2014 |
| Sparse semi-supervised learning on low-rank kernel K Zhang, Q Wang, L Lan, Y Sun, I Marsic Neurocomputing 129, 265-272, 2014 | 16 | 2014 |
| 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 | 14 | 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 | 13 | 2020 |
| Accurate and interpretable factorization machines L Lan, Y Geng Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4139-4146, 2019 | 13 | 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 | 12 | 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 | 10 | 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 | 9 | 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 | 8 | 2020 |
Slobodan VuceticProfessor of Computer Science, Temple University在 temple.edu 的电子邮件经过验证
