| Monitoring depression trends on Twitter during the COVID-19 pandemic: observational study Y Zhang, H Lyu, Y Liu, X Zhang, Y Wang, J Luo JMIR infodemiology 1 (1), e26769, 2021 | 115 | 2021 |
| The influence of COVID-19 on well-being X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo PsyArXiv, 2020 | 50 | 2020 |
| Neural collective entity linking based on recurrent random walk network learning M Xue, W Cai, J Su, L Song, Y Ge, Y Liu, B Wang arXiv preprint arXiv:1906.09320, 2019 | 49 | 2019 |
| The influence of COVID-19 on the well-being of people: Big data methods for capturing the well-being of working adults and protective factors nationwide X Zhang, Y Wang, H Lyu, Y Zhang, Y Liu, J Luo Frontiers in Psychology 12, 681091, 2021 | 38 | 2021 |
| Text image super-resolution by image matting and text label supervision K Lin, Y Liu, TH Li, S Liu, G Li 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2019 | 5 | 2019 |
| Universal model for multi-domain medical image retrieval Y Feng, Y Liu, J Luo arXiv preprint arXiv:2007.08628, 2020 | 2 | 2020 |
| Monitoring depression trend on Twitter during the COVID-19 pandemic Y Zhang, H Lyu, Y Liu, X Zhang, Y Wang, J Luo arXiv preprint arXiv:2007.00228, 2020 | | 2020 |
| Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision Y Liu, K Lin arXiv preprint arXiv:1909.12909, 2019 | | 2019 |
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
