| Outlier detection with autoencoder ensembles J Chen, S Sathe, C Aggarwal, D Turaga Proceedings of the SIAM International Conference on Data Mining (SDM), 90-98, 2017 | 436 | 2017 |
| Global convergence of Langevin dynamics based algorithms for nonconvex optimization P Xu, J Chen, D Zou, Q Gu Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018 | 157 | 2018 |
| Closing the generalization gap of adaptive gradient methods in training deep neural networks J Chen, D Zhou, Y Tang, Z Yang, Y Cao, Q Gu Proceedings of the International Joint Conference on Artificial Intelligence …, 2020 | 150 | 2020 |
| 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 |
| On the convergence of adaptive gradient methods for nonconvex optimization D Zhou, J Chen, Y Cao, Yuan, Tang, Z Yang, Q Gu arXiv preprint arXiv:1808.05671, 2020 | 128 | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 123 | 2022 |
| 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 | 91 | 2020 |
| Rays: A ray searching method for hard-label adversarial attack J Chen, Q Gu Proceedings of the ACM SIGKDD International Conference on Knowledge …, 2020 | 73 | 2020 |
| Do wider neural networks really help adversarial robustness? B Wu, J Chen, D Cai, X He, Q Gu Advances in Neural Information Processing Systems 34, 7054-7067, 2021 | 58* | 2021 |
| A Frank-Wolfe framework for efficient and effective adversarial attacks J Chen, D Zhou, J Yi, Q Gu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 34 (04 …, 2020 | 56 | 2020 |
| Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization. J Chen, Q Gu Proceedings of the International Conference on Uncertainty in Artificial …, 2016 | 34 | 2016 |
| 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 | 29 | 2022 |
| 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 |
| Robust wirtinger flow for phase retrieval with arbitrary corruption J Chen, L Wang, X Zhang, Q Gu arXiv preprint arXiv:1704.06256, 2017 | 22 | 2017 |
| Fast newton hard thresholding pursuit for sparsity constrained nonconvex optimization J Chen, Q Gu Proceedings of ACM SIGKDD International Conference on Knowledge Discovery …, 2017 | 20 | 2017 |
| Efficient robust training via backward smoothing J Chen, Y Cheng, Z Gan, Q Gu, J Liu Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022 | 14 | 2022 |
| Understanding the intrinsic robustness of image distributions using conditional generative models X Zhang, J Chen, Q Gu, D Evans Proceedings of the International Conference on Artificial Intelligence and …, 2020 | 13 | 2020 |
| Covariate adjusted precision matrix estimation via nonconvex optimization J Chen, P Xu, L Wang, J Ma, Q Gu Proceedings of the International Conference on Machine Learning (ICML), 922-931, 2018 | 11 | 2018 |
| Communication-Efficient Adaptive Federated Learning Y Wang, L Lin, J Chen Proceedings of the International Conference on Machine Learning (ICML) 162, 2022 | 5 | 2022 |
| Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization Y Wang, L Lin, J Chen Proceedings of the International Conference on Artificial Intelligence and …, 2022 | 4 | 2022 |
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
