| Gradient descent optimizes over-parameterized deep ReLU networks D Zou, Y Cao, D Zhou, Q Gu Machine learning 109, 467-492, 2020 | 554* | 2020 |
| Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu International Conference on Learning Representations, 2020 | 371 | 2020 |
| An improved analysis of training over-parameterized deep neural networks D Zou, Q Gu NeurIPS 2018, 2019 | 168 | 2019 |
| Layer-dependent importance sampling for training deep and large graph convolutional networks D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu Advances in neural information processing systems 32, 2019 | 157 | 2019 |
| Global convergence of Langevin dynamics based algorithms for nonconvex optimization P Xu, J Chen, D Zou, Q Gu Advances in Neural Information Processing Systems 31, 2018 | 157 | 2018 |
| Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020 | 142 | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 125 | 2022 |
| How much over-parameterization is sufficient to learn deep relu networks? Z Chen, Y Cao, D Zou, Q Gu arXiv preprint arXiv:1911.12360, 2019 | 97 | 2019 |
| Epidemic model guided machine learning for COVID-19 forecasts in the United States D Zou, L Wang, P Xu, J Chen, W Zhang, Q Gu MedRxiv, 2020.05. 24.20111989, 2020 | 92 | 2020 |
| A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ... Nature communications 12 (1), 5173, 2021 | 49* | 2021 |
| Information security risks outside the laser beam in terrestrial free-space optical communication D Zou, Z Xu IEEE Photonics Journal 8 (5), 1-9, 2016 | 47 | 2016 |
| A 1Mbps real-time NLOS UV scattering communication system with receiver diversity over 1km G Wang, K Wang, C Gong, D Zou, Z Jiang, Z Xu IEEE Photonics Journal 10 (2), 1-13, 2018 | 45 | 2018 |
| Stochastic variance-reduced hamilton monte carlo methods D Zou, P Xu, Q Gu International Conference on Machine Learning, 6028-6037, 2018 | 36 | 2018 |
| Characterization on practical photon counting receiver in optical scattering communication D Zou, C Gong, K Wang, Z Xu IEEE Transactions on Communications 67 (3), 2203-2217, 2018 | 33 | 2018 |
| Non-line-of-sight scattering channel modeling for underwater optical wireless communication W Liu, D Zou, Z Xu, J Yu 2015 IEEE International Conference on Cyber Technology in Automation …, 2015 | 31 | 2015 |
| The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 30 | 2022 |
| Wavelength dependent channel characterization for underwater optical wireless communications W Liu, D Zou, P Wang, Z Xu, L Yang 2014 IEEE International Conference on Signal Processing, Communications and …, 2014 | 29 | 2014 |
| Benign overfitting of constant-stepsize sgd for linear regression D Zou, J Wu, V Braverman, Q Gu, S Kakade Conference on Learning Theory, 4633-4635, 2021 | 26 | 2021 |
| COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ... Medrxiv, 2020 | 24 | 2020 |
| On the global convergence of training deep linear ResNets D Zou, PM Long, Q Gu arXiv preprint arXiv:2003.01094, 2020 | 23 | 2020 |
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
