| 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 | 1827 | 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 | 495* | 2012 |
| Deep Hyperspherical Learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song Advances in Neural Information Processing Systems (arXiv:1711.03189), 2017 | 224 | 2017 |
| A Nonconvex Optimization Framework for Low Rank Matrix Estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems, 559-567, 2015 | 173* | 2015 |
| 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 | 156 | 2019 |
| 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 | 134 | 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 | 103* | 2015 |
| BOND: BERT-assisted open-domain named entity recognition with distant supervision C Liang, Y Yu, H Jiang, S Er, R Wang, T Zhao, C Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 93 | 2020 |
| Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization X Li, J Lu, R Arora, J Haupt, H Liu, Z Wang, T Zhao IEEE Transactions on Information Theory, 2018 (arXiv:1612.09296), 2016 | 90* | 2016 |
| Stochastic variance reduced optimization for nonconvex sparse learning X Li, T Zhao, R Arora, H Liu, J Haupt International Conference on Machine Learning, 2016 (arXiv:1605.02711), 917-925, 2016 | 87* | 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 | 70 | 2014 |
| Transformer hawkes process S Zuo, H Jiang, Z Li, T Zhao, H Zha International conference on machine learning, 11692-11702, 2020 | 69 | 2020 |
| Sparse Covariance Matrix Estimation with Eigenvalue Constraints H Liu, L Wang, T Zhao Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014 | 69 | 2014 |
| Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery H Liu, L Wang, T Zhao Journal of Machine Learning Research (arXiv:1305.2238) 16, 1579-1606, 2015 | 68* | 2015 |
| 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 | 62 | 2018 |
| Coda: High Dimensional Copula Discriminant Analysis F Han, T Zhao, H Liu Journal of Machine Learning Research 14 (Feb), 629-671, 2013 | 62 | 2013 |
| Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds M Chen, H Jiang, W Liao, T Zhao Advances in Neural Information Processing Systems (arXiv:1908.01842), 2019 | 56 | 2019 |
| Pathwise Coordinate Optimization for Nonconvex Sparse Learning: Algorithm and Theory T Zhao, H Liu, T Zhang The Annals of Statistics, 2018 (arXiv:1412.7477), 2014 | 54* | 2014 |
| Sparse Additive Machine T Zhao, H Liu Proceedings of the 15th International Conference on Artificial Intelligence …, 2012 | 52* | 2012 |
| Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks?--A Neural Tangent Kernel Perspective K Huang, Y Wang, M Tao, T Zhao Advances in Neural Information Processing Systems (arXiv:2002.06262), 2020 | 47 | 2020 |
