Evaluating eligibility criteria of oncology trials using real-world data and AI R Liu, S Rizzo, S Whipple, N Pal, AL Pineda, M Lu, B Arnieri, Y Lu, ... Nature 592 (7855), 629-633, 2021 | 236 | 2021 |
Experimental demonstration of spontaneous chirality in a nonlinear microresonator QT Cao, H Wang, CH Dong, H Jing, RS Liu, X Chen, L Ge, Q Gong, ... Physical review letters 118 (3), 033901, 2017 | 219 | 2017 |
The effects of memory replay in reinforcement learning R Liu, J Zou 2018 56th annual allerton conference on communication, control, and …, 2018 | 177 | 2018 |
Reconfigurable symmetry-broken laser in a symmetric microcavity QT Cao, R Liu, H Wang, YK Lu, CW Qiu, S Rotter, Q Gong, YF Xiao Nature communications 11 (1), 1136, 2020 | 57 | 2020 |
Wide‐Field Optical Microscopy of Microwave Fields Using Nitrogen‐Vacancy Centers in Diamonds L Shao, R Liu, M Zhang, AV Shneidman, X Audier, M Markham, H Dhillon, ... Advanced optical materials 4 (7), 1075-1080, 2016 | 53 | 2016 |
Systematic pan-cancer analysis of mutation–treatment interactions using large real-world clinicogenomics data R Liu, S Rizzo, S Waliany, MR Garmhausen, N Pal, Z Huang, ... Nature Medicine 28 (8), 1656-1661, 2022 | 37 | 2022 |
Cooling mechanical resonators to the quantum ground state from room temperature YC Liu, RS Liu, CH Dong, Y Li, Q Gong, YF Xiao Physical Review A 91 (1), 013824, 2015 | 31 | 2015 |
Dynamical systems model of RNA velocity improves inference of single-cell trajectory, pseudo-time and gene regulation R Liu, AO Pisco, E Braun, S Linnarsson, J Zou Journal of Molecular Biology 434 (15), 167606, 2022 | 22 | 2022 |
Teacher-student compression with generative adversarial networks R Liu, N Fusi, L Mackey arXiv preprint arXiv:1812.02271, 2018 | 21 | 2018 |
Learning transport cost from subset correspondence R Liu, A Balsubramani, J Zou International Conference on Learning Representations, 2020 | 19 | 2020 |
Enhanced Raman scattering of single nanoparticles in a high- whispering-gallery microresonator RS Liu, WL Jin, XC Yu, YC Liu, YF Xiao Physical Review A 91 (4), 043836, 2015 | 18 | 2015 |
Machine learning prediction of clinical trial operational efficiency K Wu, E Wu, M DAndrea, N Chitale, M Lim, M Dabrowski, K Kantor, ... The AAPS Journal 24 (3), 57, 2022 | 15 | 2022 |
Modeling spatial correlation of transcripts with application to developing pancreas R Liu, M Mignardi, R Jones, M Enge, SK Kim, SR Quake, J Zou Scientific reports 9 (1), 5592, 2019 | 11 | 2019 |
Model compression with generative adversarial networks R Liu, N Fusi, L Mackey | 11 | 2018 |
Data-driven subgroup identification for linear regression Z Izzo, R Liu, J Zou International Conference on Machine Learning, 14531-14552, 2023 | 6 | 2023 |
Adversarial examples generation and defense based on generative adversarial network F Xia, R Liu arXiv preprint arXiv 1712, 2016 | 5 | 2016 |
Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients R Liu, L Wang, S Rizzo, MR Garmhausen, N Pal, S Waliany, S McGough, ... Cell Reports Medicine 5 (3), 2024 | 4 | 2024 |
Advancing precision oncology with large, real-world genomics and treatment outcomes data R Liu, J Zou NATURE MEDICINE 28 (8), 1544-1545, 2022 | 1 | 2022 |
Characterizing mutation-treatment effects using clinico-genomics data of 78,287 patients with 20 types of cancers R Liu, S Rizzo, L Wang, N Chaudhary, S Maund, MR Garmhausen, ... Nature Communications 15 (1), 10884, 2024 | | 2024 |
Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 153,122 US patients R Liu, L Wang, S Rizzo, MR Garmhausen, N Pal, S Waliany, S McGough, ... medRxiv, 2023.01. 17.23284689, 2023 | | 2023 |