Xiang Zhou
Orcid: 0000-0002-3835-3894Affiliations:
- City University of Hong Kong, Kowloon, Hong Kong
According to our database1,
Xiang Zhou
authored at least 22 papers
between 2009 and 2024.
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Bibliography
2024
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation.
CoRR, 2024
2023
Value-Gradient Based Formulation of Optimal Control Problem and Machine Learning Algorithm.
SIAM J. Numer. Anal., April, 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations<sup>*</sup>.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution.
IEEE Trans. Multim., 2022
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations.
CoRR, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
2020
2019
J. Nonlinear Sci., 2019
J. Comput. Phys., 2019
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution.
CoRR, 2019
2016
J. Nonlinear Sci., 2016
J. Comput. Phys., 2016
2015
SIAM J. Sci. Comput., 2015
SIAM J. Numer. Anal., 2015
2014
2011
Proceedings of the Winter Simulation Conference 2011, 2011
2009
Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks.
Neural Comput., 2009