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Year
Neural proximal gradient descent for compressive imaging
DD M. Mardani, Q. Sun, V. Papyan, H. Monajemi, Sh. Vasanawala, J. Pauly
Advances in Neural Information Processing Systems, 0
209*
A PID Controller Approach for Stochastic Optimization of Deep Networks
W An, H Wang, Q Sun, J Xu, Q Dai, L Zhang
CVPR2018/ Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1212018
PID controller-based stochastic optimization acceleration for deep neural networks
H Wang, Y Luo, W An, Q Sun, J Xu, L Zhang
IEEE transactions on neural networks and learning systems 31 (12), 5079-5091, 2020
552020
How to Close Sim-Real Gap? Transfer with Segmentation!
M Yan, Q Sun, I Frosio, S Tyree, J Kautz
arXiv preprint arXiv:2005.07695, 2020
51*2020
Bayesian opponent exploitation in imperfect-information games
S Ganzfried, Q Sun
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
222018
Grac: Self-guided and self-regularized actor-critic
L Shao, Y You, M Yan, S Yuan, Q Sun, J Bohg
Conference on Robot Learning, 267-276, 2022
212022
Convolutional Imputation of Matrix Networks
Q Sun, M Yan, D Donoho, S Boyd
ICML2018, http://proceedings.mlr.press/v80/sun18d/, 2018
102018
A recipe for global convergence guarantee in deep neural networks
K Kawaguchi, Q Sun
Proceedings of the AAAI conference on artificial intelligence 35 (9), 8074-8082, 2021
92021
Degrees of freedom analysis of unrolled neural networks
M Mardani, Q Sun, V Papyan, S Vasanawala, J Pauly, D Donoho
arXiv preprint arXiv:1906.03742, 2019
92019
Stochastic modified equations for continuous limit of stochastic ADMM
X Zhou, H Yuan, CJ Li, Q Sun
arXiv preprint arXiv:2003.03532, 2020
72020
Distributional Robust Kelly Gambling
Q Sun, S Boyd
72018
Differential inclusions for modeling nonsmooth ADMM variants: A continuous limit theory
H Yuan, Y Zhou, CJ Li, Q Sun
International Conference on Machine Learning, 7232-7241, 2019
62019
Convex sparse blind deconvolution
Q Sun, D Donoho
arXiv preprint arXiv:2106.07053, 2021
22021
Distributional Robust Kelly Gambling: Optimal Strategy under Uncertainty in the Long-Run
Q Sun, S Boyd
https://arxiv.org/abs/1812.10371, 2021
12021
OPTIMIZATION-BASED MODELING IN INVESTMENT AND DATA SCIENCE
Q Sun
Stanford PhD Thesis, 2020
2020
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
X Zhou, H Yuan, Q Sun
http://stanford.edu/~qysun/Stochastic_ADMM_SDE.pdf, 2020
2020
Stanford PhD thesis: Optimization-based Modeling in Investment and Data Science
Q Sun
http://stanford.edu/~qysun/Stanford_University_PhD_Thesis_QingyunSun.pdf, 2020
2020
Convex Sparse Blind Deconvolution: Phase Transition, Observation Sample Complexity, Stability, Robustness
Q Sun, D Donoho
http://stanford.edu/~qysun/Convex_Sparse_Blind_deconvolution_Journal_draft.pdf, 2020
2020
A Continuous Limit Theory for Nonsmooth ADMM Variants
H Yuan, Y Zhou, CJ Li, Q Sun
2019
Shared Weights Yield Accurate Image Recovery with Scarce Training Labels: SURE Analysis
M Mardani, Q Sun, V Papyan, S Vasanawala, J Pauly, D Donoho
http://stanford.edu/~qysun/neuralPGD_ICML.pdf, 2019
2019
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