| Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS W Tu, PA Chen, N Koenig, D Gomez, E Fujiwara, MJ Gill, L Kong, ... Journal of NeuroVirology 26, 41-51, 2020 | 21 | 2020 |
| IND227 phase III (P3) study of cisplatin/pemetrexed (CP) with or without pembrolizumab (pembro) in patients (pts) with malignant pleural mesothelioma (PM): a CCTG, NCIN, and … QS Chu, MC Piccirillo, L Greillier, F Grosso, G Lo Russo, M Florescu, ... Journal of clinical oncology 41 (17_suppl), LBA8505-LBA8505, 2023 | 19 | 2023 |
| Brief report: canadian cancer trials group IND. 227: A phase 2 randomized study of pembrolizumab in patients with advanced Malignant pleural mesothelioma (NCT02784171) MC Piccirillo, Q Chu, P Bradbury, W Tu, CH Coschi, F Grosso, M Florescu, ... Journal of Thoracic Oncology 18 (6), 813-819, 2023 | 11 | 2023 |
| Pembrolizumab plus chemotherapy versus chemotherapy in untreated advanced pleural mesothelioma in Canada, Italy, and France: a phase 3, open-label, randomised controlled trial Q Chu, F Perrone, L Greillier, W Tu, MC Piccirillo, F Grosso, GL Russo, ... The Lancet 402 (10419), 2295-2306, 2023 | 9 | 2023 |
| Sample average approximation for stochastic optimization with dependent data: Performance guarantees and tractability Y Wang, B Pan, W Tu, P Liu, B Jiang, C Gao, W Lu, S Jui, L Kong Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3859-3867, 2022 | 8 | 2022 |
| Predictive variables for peripheral neuropathy in treated HIV type 1 infection revealed by machine learning W Tu, E Johnson, E Fujiwara, MJ Gill, L Kong, C Power Aids 35 (11), 1785-1793, 2021 | 7 | 2021 |
| Flexible quantile contour estimation for multivariate functional data: Beyond convexity G Agarwal, W Tu, Y Sun, L Kong Computational Statistics & Data Analysis 168, 107400, 2022 | 6 | 2022 |
| Peri-hematoma corticospinal tract integrity in intracerebral hemorrhage patients: a diffusion-tensor imaging study R McCourt, E Misaghi, W Tu, M Kate, L Gioia, S Treit, C Beaulieu, ... Journal of the Neurological Sciences 421, 117317, 2021 | 6 | 2021 |
| M-estimation in low-rank matrix factorization: a general framework W Tu, P Liu, J Zhao, Y Liu, L Kong, G Li, B Jiang, G Tian, H Yao 2019 IEEE international conference on data mining (ICDM), 568-577, 2019 | 6 | 2019 |
| Efficient robust doubly adaptive regularized regression with applications RJ Karunamuni, L Kong, W Tu Statistical methods in medical research 28 (7), 2210-2226, 2019 | 6 | 2019 |
| Ensemble-based Ultrahigh-dimensional Variable Screening. W Tu, D Yang, L Kong, M Che, Q Shi, G Li, G Tian IJCAI, 3613-3619, 2019 | 5 | 2019 |
| Nonlocal spatial clustering in automated brain hematoma and edema segmentation W Tu, L Kong, R Karunamuni, K Butcher, L Zheng, R McCourt Applied Stochastic Models in Business and Industry 35 (2), 321-329, 2019 | 4 | 2019 |
| Estimation for partial functional partially linear additive model Q Tang, W Tu, L Kong Computational Statistics & Data Analysis 177, 107584, 2023 | 3 | 2023 |
| Nonsmooth low-rank matrix recovery: methodology, theory and algorithm W Tu, P Liu, Y Liu, G Li, B Jiang, L Kong, H Yao, S Jui Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1, 848-862, 2022 | 2 | 2022 |
| Functional Linear Partial Quantile Regression with Guaranteed Convergence for Neuroimaging Data Analysis D Yu, M Pietrosanu, I Mizera, B Jiang, L Kong, W Tu Statistics in Biosciences, 1-17, 2024 | 1 | 2024 |
| High-dimensional outlier detection and variable selection via adaptive weighted mean regression J Li, L Kong, B Jiang, W Tu arXiv preprint arXiv:2306.13850, 2023 | 1 | 2023 |
| Low-rank plus sparse decomposition of fMRI data with application to Alzheimer's disease W Tu, F Fu, L Kong, B Jiang, D Cobzas, C Huang Frontiers in Neuroscience 16, 826316, 2022 | 1 | 2022 |
| An Alternative Approach to Functional Linear Partial Quantile Regression D Yu, M Pietrosanu, I Mizera, B Jiang, L Kong, W Tu arXiv preprint arXiv:1709.02069, 2017 | 1 | 2017 |
| S1 Additional Numerical Results H Xie, M Pietrosanu, Y Liu, W Tu, B Jiang, L Kong | | |
