关注
yichi zhou
yichi zhou
MSRA, ByteDance
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Mattergen: a generative model for inorganic materials design
C Zeni, R Pinsler, D Zügner, A Fowler, M Horton, X Fu, S Shysheya, ...
arXiv preprint arXiv:2312.03687, 2023
482023
The impact of large language models on scientific discovery: a preliminary study using gpt-4
MR AI4Science, MA Quantum
arXiv preprint arXiv:2311.07361, 2023
252023
Deep reinforcement learning with credit assignment for combinatorial optimization
D Yan, J Weng, S Huang, C Li, Y Zhou, H Su, J Zhu
Pattern Recognition 124, 108466, 2022
222022
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information
Y Zhou, J Li, J Zhu
International Conference on Learning Representations, 2020
212020
Lazy-cfr: fast and near optimal regret minimization for extensive games with imperfect information
Y Zhou, T Ren, J Li, D Yan, J Zhu
arXiv preprint arXiv:1810.04433, 2018
142018
Identify the Nash equilibrium in static games with random payoffs
Y Zhou, J Li, J Zhu
International Conference on Machine Learning, 4160-4169, 2017
122017
Simultaneously learning stochastic and adversarial bandits with general graph feedback
F Kong, Y Zhou, S Li
International Conference on Machine Learning, 11473-11482, 2022
102022
Online label aggregation: A variational bayesian approach
C Hong, A Ghiassi, Y Zhou, R Birke, LY Chen
Proceedings of the Web Conference 2021, 1904-1915, 2021
62021
Racing thompson: An efficient algorithm for thompson sampling with non-conjugate priors
Y Zhou, J Zhu, J Zhuo
International Conference on Machine Learning, 6000-6008, 2018
62018
Exploration analysis in finite-horizon turn-based stochastic games
J Li, Y Zhou, T Ren, J Zhu
Conference on Uncertainty in Artificial Intelligence, 201-210, 2020
52020
Mattersim: A deep learning atomistic model across elements, temperatures and pressures
H Yang, C Hu, Y Zhou, X Liu, Y Shi, J Li, G Li, Z Chen, S Chen, C Zeni, ...
arXiv preprint arXiv:2405.04967, 2024
42024
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information
Y Zhou, T Ren, J Li, D Yan, J Zhu
arXiv preprint arXiv:1810.04433, 2018
42018
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Z Wang, G Liu, Y Zhou, T Wang, B Shao
Advances in Neural Information Processing Systems 36, 2024
22024
Selective verification strategy for learning from crowds
T Tian, Y Zhou, J Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
22018
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
X Zhou, L Wang, Y Zhou
arXiv preprint arXiv:2403.04154, 2024
12024
Overcoming the size limit of first principles molecular dynamics simulations with an in-distribution substructure embedding active learner
L Kong, J Li, L Sun, H Yang, H Hao, C Chen, N Artrith, JAG Torres, Z Lu, ...
arXiv preprint arXiv:2311.08177, 2023
12023
Stochastic No-regret Learning for General Games with Variance Reduction
Y Zhou, F Kong, S Li
The Eleventh International Conference on Learning Representations, 2023
12023
Supplementary Material: QuinNet: Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning force Fields
Z Wang, G Liu, Y Zhou, T Wang, B Shao
sampling with probability matching
Y Zhou, J Zhu
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