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Yue Wang
Yue Wang
Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Convergence analysis of distributed stochastic gradient descent with shuffling
Q Meng, W Chen, Y Wang, ZM Ma, TY Liu
Neurocomputing 337, 46-57, 2019
1402019
Target transfer Q-learning and its convergence analysis
Y Wang, Y Liu, W Chen, ZM Ma, TY Liu
Neurocomputing 392, 11-22, 2020
542020
Finite sample analysis of the GTD policy evaluation algorithms in Markov setting
Y Wang, W Chen, Y Liu, ZM Ma, TY Liu
Advances in Neural Information Processing Systems 30, 2017
442017
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
162023
Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients
L Ma, ET Rolls, X Liu, Y Liu, Z Jiao, Y Wang, W Gong, Z Ma, F Gong, ...
Journal of molecular cell biology 11 (8), 678-687, 2019
122019
Gradient information matters in policy optimization by back-propagating through model
C Li, Y Wang, W Chen, Y Liu, ZM Ma, TY Liu
International Conference on Learning Representations, 2021
112021
Generalization error bounds for optimization algorithms via stability
Q Meng, Y Wang, W Chen, T Wang, ZM Ma, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
82017
Neural operator with regularity structure for modeling dynamics driven by spdes
P Hu, Q Meng, B Chen, S Gong, Y Wang, W Chen, R Zhu, ZM Ma, TY Liu
arXiv preprint arXiv:2204.06255, 2022
72022
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
X Huang, W Shi, Q Meng, Y Wang, X Gao, J Zhang, TY Liu
International Conference on Machine Learning, 13993-14006, 2023
62023
DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows
R Zhang, P Hu, Q Meng, Y Wang, R Zhu, B Chen, ZM Ma, TY Liu
Physics of Fluids 34 (10), 2022
62022
The scale-invariant space for attention layer in neural network
Y Wang, Y Liu, ZM Ma
Neurocomputing 392, 1-10, 2020
52020
Deep latent regularity network for modeling stochastic partial differential equations
S Gong, P Hu, Q Meng, Y Wang, R Zhu, B Chen, Z Ma, H Ni, TY Liu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7740-7747, 2023
22023
How to control hydrodynamic force on fluidic pinball via deep reinforcement learning
H Feng, Y Wang, H Xiang, Z Jin, D Fan
Physics of Fluids 35 (4), 2023
22023
Incorporating NODE with pre-trained neural differential operator for learning dynamics
S Gong, Q Meng, Y Wang, L Wu, W Chen, Z Ma, TY Liu
Neurocomputing 528, 48-58, 2023
22023
Making Better Decision by Directly Planning in Continuous Control
J Zhu, Y Wang, L Wu, T Qin, W Zhou, TY Liu, H Li
International Conference on Learning Representations, 2023
22023
Better Neural PDE Solvers Through Data-Free Mesh Movers
P Hu, Y Wang, ZM Ma
arXiv preprint arXiv:2312.05583, 2023
2023
Complex-valued neural-operator-assisted soliton identification
M Zhang, Q Meng, D Zhang, Y Wang, G Wang, Z Ma, L Chen, TY Liu
Physical Review E 108 (2), 025305, 2023
2023
Constructing the Basis Path Set by Eliminating the Path Dependency
J Zhu, Q Meng, W Chen, Y Wang, Z Ma
Journal of Systems Science and Complexity 35 (5), 1944-1962, 2022
2022
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations
R Zhang, P Hu, Q Meng, Y Wang, R Zhu, B Chen, ZM Ma, TY Liu
arXiv preprint arXiv:2206.09571, 2022
2022
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