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Weitong Zhang
Weitong Zhang
Assistant Professor, SDSS, UNC Chapel Hill
Verified email at unc.edu - Homepage
Title
Cited by
Cited by
Year
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
282*2022
Neural thompson sampling
W Zhang, D Zhou, L Li, Q Gu
International Conference on Learning Representations, 2020, 2020
2362020
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
2112020
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
1372020
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
1202020
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
662021
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
342021
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
332018
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
262023
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
242022
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
112024
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
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
62024
Optimal horizon-free reward-free exploration for linear mixture mdps
J Zhang, W Zhang, Q Gu
International Conference on Machine Learning, 41902-41930, 2023
62023
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
42023
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
32024
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
32024
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
32023
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Articles 1–20