| 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 | 274* | 2022 |
| Neural thompson sampling W Zhang, D Zhou, L Li, Q Gu International Conference on Learning Representations, 2020, 2020 | 234 | 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 | 208 | 2020 |
| A finite-time analysis of two time-scale actor-critic methods YF Wu, W Zhang, P Xu, Q Gu Advances in Neural Information Processing Systems 33, 17617-17628, 2020 | 137 | 2020 |
| 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 | 119 | 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 | 66 | 2021 |
| Multiple models for outbreak decision support in the face of uncertainty K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, SL Li, ... Proceedings of the National Academy of Sciences 120 (18), e2207537120, 2023 | 45* | 2023 |
| Reward-free model-based reinforcement learning with linear function approximation W Zhang, D Zhou, Q Gu Advances in Neural Information Processing Systems 34, 1582-1593, 2021 | 33 | 2021 |
| A simulation system and speed guidance algorithms for intersection traffic control using connected vehicle technology S Liu, W Zhang, X Wu, S Feng, X Pei, D Yao Tsinghua Science and Technology 24 (2), 160-170, 2018 | 33 | 2018 |
| Electrochemical mechanistic analysis from cyclic voltammograms based on deep learning BB Hoar, W Zhang, S Xu, R Deeba, C Costentin, Q Gu, C Liu ACS Measurement Science Au 2 (6), 595-604, 2022 | 23 | 2022 |
| Rephrase and respond: Let large language models ask better questions for themselves Y Deng, W Zhang, Z Chen, Q Gu arXiv preprint arXiv:2311.04205, 2023 | 21 | 2023 |
| Mitigating object hallucination in large vision-language models via classifier-free guidance L Zhao, Y Deng, W Zhang, Q Gu arXiv preprint arXiv:2402.08680, 2024 | 10 | 2024 |
| Learning neural contextual bandits through perturbed rewards Y Jia, W Zhang, D Zhou, Q Gu, H Wang International Conference on Learning Representations, 2021, 2022 | 9* | 2022 |
| On the interplay between misspecification and sub-optimality gap in linear contextual bandits W Zhang, J He, Z Fan, Q Gu International Conference on Machine Learning, 41111-41132, 2023 | 7* | 2023 |
| Optimal horizon-free reward-free exploration for linear mixture mdps J Zhang, W Zhang, Q Gu International Conference on Machine Learning, 41902-41930, 2023 | 6 | 2023 |
| Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation H Sheng, J Sun, O Rodríguez, BB Hoar, W Zhang, D Xiang, T Tang, ... Nature Communications 15 (1), 2781, 2024 | 4 | 2024 |
| MoleculeGPT: Instruction following large language models for molecular property prediction W Zhang, X Wang, W Nie, J Eaton, B Rees, Q Gu NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023 | 4 | 2023 |
| Diffmol: 3d structured molecule generation with discrete denoising diffusion probabilistic models W Zhang, X Wang, J Smith, J Eaton, B Rees, Q Gu ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 3 | 2023 |
| Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Z Huang, J Hwang, J Zhang, J Baik, W Zhang, D Wodarz, Y Sun, Q Gu, ... Proceedings of the ACM on Web Conference 2024, 4607-4617, 2024 | 2 | 2024 |
| Challenges of COVID-19 Case Forecasting in the US, 2020–2021 VK Lopez, EY Cramer, R Pagano, JM Drake, EB O’Dea, M Adee, T Ayer, ... PLoS computational biology 20 (5), e1011200, 2024 | 2 | 2024 |
Quanquan GuAssociate Professor of Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
