| 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 | 1919 | 2012 |
| 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 | 556* | 2012 |
| 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 arXiv preprint arXiv:1911.03437 (ACL), 2019 | 286 | 2019 |
| A nonconvex optimization framework for low rank matrix estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems 28, 2015 | 182* | 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 | 166 | 2020 |
| Transformer hawkes process S Zuo, H Jiang, Z Li, T Zhao, H Zha International conference on machine learning, 11692-11702, 2020 | 148 | 2020 |
| 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 | 141 | 2012 |
| Deep hyperspherical learning W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song Advances in neural information processing systems 30, 2017 | 128 | 2017 |
| 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, 2015 | 109* | 2015 |
| 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 65 (6), 3489-3514, 2019 | 98* | 2019 |
| Nonconvex sparse learning via stochastic optimization with progressive variance reduction X Li, R Arora, H Liu, J Haupt, T Zhao arXiv preprint arXiv:1605.02711 (ICML), 2016 | 97* | 2016 |
| 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 32, 2019 | 82 | 2019 |
| Sparse covariance matrix estimation with eigenvalue constraints H Liu, L Wang, T Zhao Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014 | 77 | 2014 |
| Accelerated mini-batch randomized block coordinate descent method T Zhao, M Yu, Y Wang, R Arora, H Liu Advances in neural information processing systems 27, 2014 | 75 | 2014 |
| Calibrated multivariate regression with application to neural semantic basis discovery H Liu, L Wang, T Zhao Journal of Machine Learning Research, 2015 | 74* | 2015 |
| 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 33, 2698-2709, 2020 | 72 | 2020 |
| CODA: High dimensional copula discriminant analysis F Han, T Zhao, H Liu Journal of Machine Learning Research, 2013 | 70 | 2013 |
| 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 | 67 | 2018 |
| Fine-tuning pre-trained language model with weak supervision: A contrastive-regularized self-training approach Y Yu, S Zuo, H Jiang, W Ren, T Zhao, C Zhang arXiv preprint arXiv:2010.07835 (NAACL), 2020 | 66 | 2020 |
| Differentiable top-k with optimal transport Y Xie, H Dai, M Chen, B Dai, T Zhao, H Zha, W Wei, T Pfister Advances in Neural Information Processing Systems 33, 20520-20531, 2020 | 62 | 2020 |
