| Bayesian subset modeling for high-dimensional generalized linear models F Liang, Q Song, K Yu Journal of the American Statistical Association 108 (502), 589-606, 2013 | 92 | 2013 |
| Nearly optimal Bayesian shrinkage for high-dimensional regression Q Song, F Liang Science China Mathematics 66 (2), 409-442, 2023 | 90 | 2023 |
| A resampling-based stochastic approximation method for analysis of large geostatistical data F Liang, Y Cheng, Q Song, J Park, P Yang Journal of the American Statistical Association 108 (501), 325-339, 2013 | 84 | 2013 |
| A split-and-merge Bayesian variable selection approach for ultrahigh dimensional regression Q Song, F Liang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 78 | 2015 |
| Effects of repeated local heat therapy on skeletal muscle structure and function in humans K Kim, BA Reid, CA Casey, BE Bender, B Ro, Q Song, AJ Trewin, ... Journal of Applied Physiology 128 (3), 483-492, 2020 | 71 | 2020 |
| Heat therapy promotes the expression of angiogenic regulators in human skeletal muscle AM Kuhlenhoelter, K Kim, D Neff, Y Nie, AN Blaize, BJ Wong, S Kuang, ... American Journal of Physiology-Regulatory, Integrative and Comparative …, 2016 | 65 | 2016 |
| High-Dimensional Variable Selection With Reciprocal L1-Regularization Q Song, F Liang Journal of the American Statistical Association 110 (512), 1607-1620, 2015 | 62 | 2015 |
| An equivalent measure of partial correlation coefficients for high-dimensional gaussian graphical models F Liang, Q Song, P Qiu Journal of the American Statistical Association 110 (511), 1248-1265, 2015 | 60 | 2015 |
| An adaptive exchange algorithm for sampling from distributions with intractable normalizing constants F Liang, IH Jin, Q Song, JS Liu Journal of the American Statistical Association 111 (513), 377-393, 2016 | 54 | 2016 |
| On the algorithmic stability of adversarial training Y Xing, Q Song, G Cheng Advances in neural information processing systems 34, 26523-26535, 2021 | 47 | 2021 |
| Efficient variational inference for sparse deep learning with theoretical guarantee J Bai, Q Song, G Cheng Advances in Neural Information Processing Systems 33, 466-476, 2020 | 41 | 2020 |
| Consistent sparse deep learning: Theory and computation Y Sun, Q Song, F Liang Journal of the American Statistical Association 117 (540), 1981-1995, 2022 | 32 | 2022 |
| On the generalization properties of adversarial training Y Xing, Q Song, G Cheng International Conference on Artificial Intelligence and Statistics, 505-513, 2021 | 32 | 2021 |
| Impact of heat therapy on recovery after eccentric exercise in humans K Kim, S Kuang, Q Song, TP Gavin, BT Roseguini Journal of applied physiology 126 (4), 965-976, 2019 | 30 | 2019 |
| Benefit of interpolation in nearest neighbor algorithms Y Xing, Q Song, G Cheng arXiv preprint arXiv:1909.11720, 2019 | 29 | 2019 |
| A bootstrap Metropolis–Hastings algorithm for Bayesian analysis of big data F Liang, J Kim, Q Song Technometrics 58 (3), 304-318, 2016 | 27 | 2016 |
| Heat therapy improves soleus muscle force in a model of ischemia-induced muscle damage K Kim, BA Reid, B Ro, CA Casey, Q Song, S Kuang, BT Roseguini Journal of Applied Physiology 127 (1), 215-228, 2019 | 25 | 2019 |
| Weak convergence rates of population versus single-chain stochastic approximation MCMC algorithms Q Song, M Wu, F Liang Advances in Applied Probability 46 (4), 1059-1083, 2014 | 22 | 2014 |
| Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection Q Song, Y Sun, M Ye, F Liang Biometrika 107 (4), 997-1004, 2020 | 19 | 2020 |
| Bayesian fusion estimation via t shrinkage Q Song, G Cheng Sankhya A 82 (2), 353-385, 2020 | 12 | 2020 |
