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Yuanyuan Liu

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An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling

Dec 20, 2019
Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang

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Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization

Dec 02, 2019
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

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Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition

May 24, 2019
Yuanyuan Liu, Jiyao Peng, Jiabei Zeng, Shiguang Shan

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Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

Dec 07, 2018
Rui Luo, Qiang Zhang, Yuanyuan Liu

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Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

Nov 08, 2018
Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu

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Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

Oct 11, 2018
Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin

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Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization

Feb 28, 2018
Fanhua Shang, Yuanyuan Liu, James Cheng

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Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization

Feb 26, 2018
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin K. W. Ng, Yuichi Yoshida

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Accelerated Variance Reduced Stochastic ADMM

Jul 11, 2017
Yuanyuan Liu, Fanhua Shang, James Cheng

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Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent

Jun 04, 2017
Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida

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