Li Wang
Title
Cited by
Cited by
Year
Reversed graph embedding resolves complex single-cell trajectories
X Qiu, Q Mao, Y Tang, L Wang, R Chawla, HA Pliner, C Trapnell
Nature methods 14 (10), 979, 2017
6932017
Reversed graph embedding resolves complex single-cell developmental trajectories
X Qiu, Q Mao, Y Tang, L Wang, R Chawla, H Pliner, C Trapnell
bioRxiv, 110668, 2017
693*2017
Learning sparse svm for feature selection on very high dimensional datasets
M Tan, L Wang, IW Tsang
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
1922010
Towards ultrahigh dimensional feature selection for big data
M Tan, IW Tsang, L Wang
The Journal of Machine Learning Research 15 (1), 1371-1429, 2014
1572014
Semidefinite relaxations for best rank-1 tensor approximations
J Nie, L Wang
SIAM Journal on Matrix Analysis and Applications 35 (3), 1155-1179, 2014
912014
Dimensionality Reduction Via Graph Structure Learning
Q Mao, L Wang, S Goodison, Y Sun
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
492015
Regularization Methods for SDP Relaxations in Large Scale Polynomial Optimization
J Nie, L Wang
arXiv preprint arXiv:0909.3551, 2009
49*2009
Riemannian pursuit for big matrix recovery
M Tan, IW Tsang, L Wang, B Vandereycken, SJ Pan
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
482014
Principal Graph and Structure Learning Based on Reversed Graph Embedding
Q Mao, L Wang, I Tsang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
442016
Matching pursuit LASSO Part I: Sparse recovery over big dictionary
M Tan, IW Tsang, L Wang
Signal Processing, IEEE Transactions on 63 (3), 727-741, 2015
322015
Minimax sparse logistic regression for very high-dimensional feature selection
M Tan, IW Tsang, L Wang
Neural Networks and Learning Systems, IEEE Transactions on 24 (10), 1609-1622, 2013
322013
Regularization methods for SDP relaxations in large-scale polynomial optimization
J Nie, L Wang
SIAM Journal on Optimization 22 (2), 408-428, 2012
322012
Generalized Multiple Kernel Learning With Data-Dependent Priors
Q Mao, IW Tsang, S Gao, L Wang
IEEE, 2014
162014
SimplePPT: A Simple Principal Tree Algorithm
Q Mao, L Yang, L Wang, S Goodison, Y Sun
16*
Towards inferring causal gene regulatory networks from single cell expression measurements
X Qiu, A Rahimzamani, L Wang, Q Mao, T Durham, JL McFaline-Figueroa, ...
BioRxiv, 426981, 2018
122018
Matching pursuit LASSO Part II: Applications and sparse recovery over batch signals
M Tan, IW Tsang, L Wang
Signal Processing, IEEE Transactions on 63 (3), 742-753, 2015
122015
A variant of trust-region methods for unconstrained optimization
F Wang, K Zhang, C Wang, L Wang
Applied Mathematics and Computation 203 (1), 297-307, 2008
122008
Probabilistic Dimensionality Reduction via Structure Learning
L Wang, Q Mao
IEEE transactions on pattern analysis and machine intelligence 41 (1), 205-219, 2019
112019
Theoretical and computational aspects of entanglement
H Derksen, S Friedland, LH Lim, L Wang
arXiv preprint arXiv:1705.07160, 2017
112017
Probabilistic Dimensionality Reduction via Structure Learning
L Wang
arXiv preprint arXiv:1610.04929, 2016
112016
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