| Patterns and Rates of Exonic De Novo Mutations in Autism Spectrum Disorders BM Neale, Y Kou, L Liu, A Ma’Ayan, KE Samocha, A Sabo, CF Lin, ... Nature 485 (7397), 242-245, 2012 | 1653 | 2012 |
| The Huge Package for High-dimensional Undirected Graph Estimation in R T Zhao, H Liu, K Roeder, J Lafferty, L Wasserman Journal of Machine Learning Research 13 (Apr), 1059-1062, 2012 | 380* | 2012 |
| A Nonconvex Optimization Framework for Low Rank Matrix Estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems, 559-567, 2015 | 159* | 2015 |
| Automated Diagnoses of Attention Deficit Hyperactive Disorder using Magnetic Resonance Imaging A Eloyan, J Muschelli, MB Nebel, H Liu, F Han, T Zhao, AD Barber, S Joel, ... Frontiers in Systems Neuroscience 6, 61, 2012 | 123 | 2012 |
| The Flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R X Li, T Zhao, X Yuan, H Liu Journal of Machine Learning Research 16 (1), 553-557, 2015 | 84* | 2015 |
| Deep hyperspherical learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song arXiv preprint arXiv:1711.03189, 2017 | 83 | 2017 |
| Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction X Li, R Arora, H Liu, J Haupt, T Zhao International Conference on Machine Learning, 2016 (arXiv preprint arXiv …, 2016 | 81* | 2016 |
| Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization X Li, Z Wang, J Lu, R Arora, J Haupt, H Liu, T Zhao IEEE Transactions on Information Theory, 2018 (arXiv preprint arXiv:1612.09296), 2016 | 72* | 2016 |
| Accelerated Mini-batch Randomized Block Coordinate Descent Method T Zhao, M Yu, Y Wang, R Arora, H Liu Advances in Neural Information Processing Systems, 3329-3337, 2014 | 63 | 2014 |
| Coda: High Dimensional Copula Discriminant Analysis F Han, T Zhao, H Liu Journal of Machine Learning Research 14 (Feb), 629-671, 2013 | 60 | 2013 |
| Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery. H Liu, L Wang, T Zhao Journal of Machine Learning Research (arXiv preprint arXiv:1305.2238) 16 …, 2015 | 56* | 2015 |
| Sparse Covariance Matrix Estimation with Eigenvalue Constraints H Liu, L Wang, T Zhao Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014 | 55 | 2014 |
| Sparse Additive Machine T Zhao, H Liu Proceedings of the 15th International Conference on Artificial Intelligence …, 2012 | 46* | 2012 |
| Pathwise Coordinate Optimization for Nonconvex Sparse Learning: Algorithm and Theory T Zhao, H Liu, T Zhang The Annals of Statistics, 2018 (arXiv preprint arXiv:1412.7477), 2014 | 41* | 2014 |
| NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization D Hajinezhad, M Hong, T Zhao, Z Wang Advances in Neural Information Processing Systems (arXiv preprint arXiv:1605 …, 2016 | 39 | 2016 |
| On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond X Li, J Lu, Z Wang, J Haupt, T Zhao arXiv preprint arXiv:1806.05159, 2018 | 35 | 2018 |
| Positive Semidefinite Rank-based Correlation Matrix Estimation with Application to Semiparametric Graph Estimation T Zhao, K Roeder, H Liu Journal of Computational and Graphical Statistics 23 (4), 895-922, 2014 | 34* | 2014 |
| Calibrated Precision Matrix Estimation for High-dimensional Elliptical Distributions T Zhao, H Liu IEEE Transactions on Information Theory 60 (12), 7874, 2014 | 33* | 2014 |
| SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization H Jiang, P He, W Chen, X Liu, J Gao, T Zhao Annual Meeting of the Association for Computational Linguistics (arXiv …, 2019 | 29 | 2019 |
| Projected Gradient Method for Kernel Discriminant Nonnegative Matrix Factorization and the Applications Z Liang, Y Li, T Zhao Signal Processing 90 (7), 2150-2163, 2010 | 29 | 2010 |
