| Optimization of molecules via deep reinforcement learning Z Zhou, S Kearnes, L Li, RN Zare, P Riley Scientific reports 9 (1), 10752, 2019 | 572 | 2019 |
| Optimizing chemical reactions with deep reinforcement learning Z Zhou, X Li, RN Zare ACS central science 3 (12), 1337-1344, 2017 | 480 | 2017 |
| Personal information from latent fingerprints using desorption electrospray ionization mass spectrometry and machine learning Z Zhou, RN Zare Analytical chemistry 89 (2), 1369-1372, 2017 | 100 | 2017 |
| Continual learning in task-oriented dialogue systems A Madotto, Z Lin, Z Zhou, S Moon, P Crook, B Liu, Z Yu, E Cho, Z Wang arXiv preprint arXiv:2012.15504, 2020 | 93 | 2020 |
| A distance-dependent metal-enhanced fluorescence sensing platform based on molecular beacon design Z Zhou, H Huang, Y Chen, F Liu, CZ Huang, N Li Biosensors and Bioelectronics 52, 367-373, 2014 | 84 | 2014 |
| Fluorescence Polarization Anisotropy in Microdroplets Z Zhou, X Yan, YH Lai, RN Zare The Journal of Physical Chemistry Letters, 2018 | 82 | 2018 |
| Leveraging slot descriptions for zero-shot cross-domain dialogue state tracking Z Lin, B Liu, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, A Madotto, E Cho, ... arXiv preprint arXiv:2105.04222, 2021 | 76 | 2021 |
| Zero-shot dialogue state tracking via cross-task transfer Z Lin, B Liu, A Madotto, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, E Cho, ... arXiv preprint arXiv:2109.04655, 2021 | 50 | 2021 |
| Cell-type-specific metabolic profiling achieved by combining desorption electrospray ionization mass spectrometry imaging and immunofluorescence staining X Yan, X Zhao, Z Zhou, A McKay, A Brunet, RN Zare Analytical chemistry 92 (19), 13281-13289, 2020 | 31 | 2020 |
| A dual amplification strategy for DNA detection combining bio-barcode assay and metal-enhanced fluorescence modality Z Zhou, T Li, H Huang, Y Chen, F Liu, C Huang, N Li Chemical Communications 50 (87), 13373-13376, 2014 | 28 | 2014 |
| Combining desorption electrospray ionization mass spectrometry imaging and machine learning for molecular recognition of myocardial infarction K Margulis, Z Zhou, Q Fang, RE Sievers, RJ Lee, RN Zare Analytical chemistry 90 (20), 12198-12206, 2018 | 27 | 2018 |
| Graph convolution: A high-order and adaptive approach Z Zhou, X Li arXiv preprint arXiv:1706.09916, 2017 | 27 | 2017 |
| Nanotip ambient ionization mass spectrometry Z Zhou, JK Lee, SC Kim, RN Zare Analytical chemistry 88 (10), 5542-5548, 2016 | 26 | 2016 |
| Demand prediction, predictive shipping, and product allocation for large-scale e-commerce X Li, Y Zheng, Z Zhou, Z Zheng Predictive Shipping, and Product Allocation for Large-Scale E-Commerce …, 2019 | 18 | 2019 |
| Proof of concept for identifying cystic fibrosis from perspiration samples Z Zhou, D Alvarez, C Milla, RN Zare Proceedings of the National Academy of Sciences 116 (49), 24408-24412, 2019 | 15 | 2019 |
| Upgrading Asphaltenes by Oil Droplets Striking a Charged TiO2-Immobilized Paper Surface YH Lai, Z Zhou, C Basheer, RN Zare Energy & Fuels 31 (11), 12685-12690, 2017 | 4 | 2017 |
| A hierarchical model for text autosummarization Z Zhou Jun 19, 1-7, 2016 | 3 | 2016 |
| Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming Z Zhou, A Beirami, P Crook, P Shah, R Subba, A Geramifard arXiv preprint arXiv:2011.05457, 2020 | 2 | 2020 |
| Identification of end‐stage renal disease metabolic signatures from human perspiration V Shankar, B Michael, A Celli, Z Zhou, MD Ashland, R Tibshirani, ... Natural Sciences 3 (2), e20220048, 2023 | 1 | 2023 |
| Group classification based on machine learning analysis of mass spectrometry data from sweat RN Zare, Z Zhou US Patent 11,416,704, 2022 | | 2022 |
Richard N. ZareProfessor of Chemistry, Stanford University確認したメール アドレス: stanford.edu
