| Challenges of big data analysis J Fan, F Han, H Liu National science review 1 (2), 293-314, 2014 | 1727 | 2014 |
| The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. H Liu, J Lafferty, L Wasserman Journal of Machine Learning Research 10 (10), 2009 | 844 | 2009 |
| Sparse additive models P Ravikumar, J Lafferty, H Liu, L Wasserman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 817 | 2009 |
| High-dimensional semiparametric Gaussian copula graphical models H Liu, F Han, M Yuan, J Lafferty, L Wasserman | 620 | 2012 |
| Fully decentralized multi-agent reinforcement learning with networked agents K Zhang, Z Yang, H Liu, T Zhang, T Basar International Conference on Machine Learning, 5872-5881, 2018 | 617 | 2018 |
| Stability approach to regularization selection (stars) for high dimensional graphical models H Liu, K Roeder, L Wasserman Advances in neural information processing systems 23, 2010 | 553 | 2010 |
| The huge package for high-dimensional undirected graph estimation in R T Zhao, H Liu, K Roeder, J Lafferty, L Wasserman The Journal of Machine Learning Research 13 (1), 1059-1062, 2012 | 527 | 2012 |
| Identification of new fluorescent protein fragments for bimolecular fluorescence complementation analysis under physiological conditions YJ Shyu, H Liu, X Deng, CD Hu Biotechniques 40 (1), 61-66, 2006 | 468 | 2006 |
| DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome Y Ji, Z Zhou, H Liu, RV Davuluri Bioinformatics 37 (15), 2112-2120, 2021 | 420 | 2021 |
| An overview of the estimation of large covariance and precision matrices J Fan, Y Liao, H Liu The Econometrics Journal 19 (1), C1-C32, 2016 | 393 | 2016 |
| A general theory of hypothesis tests and confidence regions for sparse high dimensional models Y Ning, H Liu | 326 | 2017 |
| Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions M Wang, EX Fang, H Liu Mathematical Programming 161, 419-449, 2017 | 255 | 2017 |
| Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery H Liu, M Palatucci, J Zhang Proceedings of the 26th annual international conference on machine learning …, 2009 | 226 | 2009 |
| Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Z Wang, H Liu, T Zhang Annals of statistics 42 (6), 2164, 2014 | 202 | 2014 |
| Distributed testing and estimation under sparse high dimensional models H Battey, J Fan, H Liu, J Lu, Z Zhu Annals of statistics 46 (3), 1352, 2018 | 190 | 2018 |
| A strictly contractive peaceman--rachford splitting method for convex programming B He, H Liu, Z Wang, X Yuan SIAM Journal on Optimization 24 (3), 1011-1040, 2014 | 190 | 2014 |
| Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ... arXiv preprint arXiv:1810.06394, 2018 | 182 | 2018 |
| Few-shot slot tagging with collapsed dependency transfer and label-enhanced task-adaptive projection network Y Hou, W Che, Y Lai, Z Zhou, Y Liu, H Liu, T Liu arXiv preprint arXiv:2006.05702, 2020 | 179 | 2020 |
| A gut commensal bacterium promotes mosquito permissiveness to arboviruses P Wu, P Sun, K Nie, Y Zhu, M Shi, C Xiao, H Liu, Q Liu, T Zhao, X Chen, ... Cell host & microbe 25 (1), 101-112. e5, 2019 | 176 | 2019 |
| A nonconvex optimization framework for low rank matrix estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems 28, 2015 | 171 | 2015 |
