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Ziping Xu
Ziping Xu
Postdoc Fellow at Harvard University
Verified email at fas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Cautionary tales on air-quality improvement in Beijing
S Zhang, B Guo, A Dong, J He, Z Xu, SX Chen
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017
2192017
Health effects of air pollution in China
W Liu, Z Xu, T Yang
International journal of environmental research and public health 15 (7), 1471, 2018
1042018
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
T Gogineni, Z Xu, E Punzalan, R Jiang, J Kammeraad, A Tewari, ...
Advances in Neural Information Processing Systems 33, 2020
312020
Predicting reaction conditions from limited data through active transfer learning
E Shim, JA Kammeraad, Z Xu, A Tewari, T Cernak, PM Zimmerman
Chemical science 13 (22), 6655-6668, 2022
292022
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting
Z Xu, A Tewari
arXiv preprint arXiv:2002.02302, 2020
29*2020
Representation learning beyond linear prediction functions
Z Xu, A Tewari
Advances in Neural Information Processing Systems 34, 4792-4804, 2021
182021
Meteorological Change and Impacts on Air Pollution‐‐Results from North China
Z Xu, SX Chen, X Wu
Journal of Geophysical Research: Atmospheres, e2020JD032423, 2020
162020
Supervised Q-Learning for Continuous Control
H Sun, Z Xu, T Wang, M Fang, B Zhou
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
15*2022
Safe exploration by solving early terminated mdp
H Sun, Z Xu, M Fang, Z Peng, J Guo, B Dai, B Zhou
arXiv preprint arXiv:2107.04200, 2021
12*2021
Bandit algorithms for precision medicine
Y Lu, Z Xu, A Tewari
arXiv preprint arXiv:2108.04782, 2021
112021
Cryorl: Reinforcement learning enables efficient cryo-em data collection
Q Fan, Y Li, Y Yao, J Cohn, S Liu, Z Xu, S Vos, M Cianfrocco
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
72024
On The Statistical Benefits Of Curriculum Learning
Z Xu, A Tewari
International Conference on Machine Learning, 24663-24682, 2022
72022
Decision making problems with funnel structure: a multi-task learning approach with application to email marketing campaigns
Z Xu, A Meisami, A Tewari
International Conference on Artificial Intelligence and Statistics, 127-135, 2021
72021
Worst-Case Regret Bound for Perturbation Based Exploration in Reinforcement Learning
Z Xu, A Tewari
NeurIPS 2019 Optimization Foundation for RL Workshop, 2019
32019
Optimized path planning surpasses human efficiency in cryo-EM imaging
Y Li, Q Fan, Z Xu, ER Lee, J Cohn, V Demers, JY Lee, L Yip, ...
biorxiv, 2022.06. 17.496614, 2022
22022
On the Benefits of Multitask Learning: A Perspective Based on Task Diversity
Z Xu
12023
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Z Xu, Z Xu, R Jiang, P Stone, A Tewari
The Twelfth International Conference on Learning Representations, 2023
2023
Online learning in bandits with predicted context
Y Guo, Z Xu, S Murphy
arXiv preprint arXiv:2307.13916, 2023
2023
Adaptive Sampling for Discovery
Z Xu, E Shim, A Tewari, P Zimmerman
Advances in Neural Information Processing Systems, 2022
2022
Coupling Semi-supervised Learning with Reinforcement Learning for Better Decision Making--An application to Cryo-EM Data Collection
Z Xu, Q Fan, Y Li, ER Lee, JM Cohn, A Tewari, SM Vos, M Cianfrocco
2022
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