| Freematch: Self-adaptive thresholding for semi-supervised learning Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ... ICLR 2023, 2023 | 157 | 2023 |
| Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo Q Heng, H Zhou, EC Chi Journal of Computational and Graphical Statistics 32 (3), 938-949, 2023 | 7 | 2023 |
| Robust Low-Rank Tensor Decomposition with the L2 Criterion Q Heng, EC Chi, Y Liu Technometrics 65 (4), 537-552, 2023 | 5* | 2023 |
| Proximal MCMC for Bayesian inference of constrained and regularized estimation X Zhou, Q Heng, EC Chi, H Zhou The American Statistician, 1-24, 2024 | 2 | 2024 |
| Minimum Covariance Determinant: Spectral Embedding and Subset Size Determination Q Heng, H Shen, K Lange arXiv preprint arXiv:2401.14359, 2024 | | 2024 |
| Some Contributions to Numerical Optimization and Statistical Learning. Q Heng | | 2023 |
