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Li Wang
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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
31012017
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
3101*2017
Mapping Vector Field of Single Cells
X Qiu, Y Zhang, D Yang, S Hosseinzadeh, L Wang, R Yuan, S Xu, Y Ma, ...
bioRxiv, 696724, 2019
244*2019
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
2202010
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
1912014
Semidefinite relaxations for best rank-1 tensor approximations
J Nie, L Wang
SIAM Journal on Matrix Analysis and Applications 35 (3), 1155-1179, 2014
1302014
Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
X Qiu, A Rahimzamani, L Wang, B Ren, Q Mao, T Durham, ...
Cell Systems, 2020
1292020
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
1062015
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
832016
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
762014
Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners
X Ju, F Liu, L Wang, WJ Lee
Energy Conversion and Management 196, 1267-1281, 2019
722019
Regularization Methods for SDP Relaxations in Large Scale Polynomial Optimization
J Nie, L Wang
arXiv preprint arXiv:0909.3551, 2009
60*2009
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment
L Zhang, L Wang, J Gao, SL Risacher, J Yan, G Li, T Liu, D Zhu, ...
Medical Image Analysis, 102082, 2021
552021
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
512015
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
462013
Sprod for de-noising spatially resolved transcriptomics data based on position and image information
Y Wang, B Song, S Wang, M Chen, Y Xie, G Xiao, L Wang, T Wang
Nature methods 19 (8), 950-958, 2022
412022
Wind farm macro-siting optimization with insightful bi-criteria identification and relocation mechanism in genetic algorithm
F Liu, X Ju, N Wang, L Wang, WJ Lee
Energy Conversion and Management 217, 112964, 2020
412020
Regularization methods for SDP relaxations in large-scale polynomial optimization
J Nie, L Wang
SIAM Journal on Optimization 22 (2), 408-428, 2012
412012
Predicting brain structural network using functional connectivity
L Zhang, L Wang, D Zhu, Alzheimer's Disease Neuroimaging Initiative
Medical Image Analysis 79, 102463, 2022
372022
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
362018
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