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Yuanyuan Liu

Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN


Jan 17, 2022
Jie Song, Huawei Yi, Wenqian Xu, Xiaohui Li, Bo Li, Yuanyuan Liu


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Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI


Dec 23, 2021
Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang

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* 11 figures 
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Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning


Dec 01, 2021
Yanjie Zhu, Haoxiang Li, Yuanyuan Liu, Muzi Guo, Guanxun Cheng, Gang Yang, Haifeng Wang, Dong Liang

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* 27 pages,11 figures. Submitted to Magnetic Resonance in Medicine 
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Expression Snippet Transformer for Robust Video-based Facial Expression Recognition


Sep 17, 2021
Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan

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Language-Independent Approach for Automatic Computation of Vowel Articulation Features in Dysarthric Speech Assessment


Aug 17, 2021
Yuanyuan Liu, Nelly Penttilä, Tiina Ihalainen, Juulia Lintula, Rachel Convey, Okko Räsänen

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* IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021 
 * 16 pages 
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Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning


Jun 23, 2021
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu

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* This paper has been accepted by International Joint Conference on Artificial Intelligence (IJCAI) 2021 
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Learned Interpretable Residual Extragradient ISTA for Sparse Coding


Jun 22, 2021
Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

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* Accepted for presentation at the ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI 
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Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling


Mar 22, 2021
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

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* Accepted by AAAI 2021 
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Differentially Private ADMM Algorithms for Machine Learning


Oct 31, 2020
Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong

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* 11 pages, 2 figures 
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Boosting Gradient for White-Box Adversarial Attacks


Oct 21, 2020
Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao

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* 9 pages,6 figures 
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A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution


Aug 24, 2020
Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang

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* 10 pages, 5 figures, submitted to an international peer-review journal 
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Video Super Resolution Based on Deep Learning: A comprehensive survey


Jul 25, 2020
Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, 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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* 12 pages, 10 figures, submitted to IEEE Journal 
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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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* 7 pages, 3 figures, Appeared at the Data Science Meets Optimization Workshop (DSO) at IJCAI'19 
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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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* 12 pages, 15 figures 
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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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* NIPS 2018, Workshop on Challenges and Opportunities for AI in Financial Services 
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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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* IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9): 2066-2080, 2018 
 * 29 pages, 19 figures 
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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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* 26 pages, 7 figures, AISTATS 2016. arXiv admin note: text overlap with arXiv:1606.01245 
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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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* 24 pages, 10 figures, AISTATS 2018. arXiv admin note: text overlap with arXiv:1703.06807 
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Accelerated Variance Reduced Stochastic ADMM


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

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* 16 pages, 5 figures, Appears in Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, pp. 2287--2293, 2017 
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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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* 25 pages, 8 figures 
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Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning


Apr 17, 2017
Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo

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* Corrected a few typos in this version 
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Unified Scalable Equivalent Formulations for Schatten Quasi-Norms


Nov 27, 2016
Fanhua Shang, Yuanyuan Liu, James Cheng

* 21 pages. CUHK Technical Report CSE-ShangLC20160307, March 7, 2016 
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Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization


Jun 04, 2016
Fanhua Shang, Yuanyuan Liu, James Cheng

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* 16 pages, 5 figures, Appears in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, pp. 2016--2022, 2016 
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Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations


Sep 03, 2014
Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng

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* 28 pages, 9 figures 
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Generalized Higher-Order Tensor Decomposition via Parallel ADMM


Jul 05, 2014
Fanhua Shang, Yuanyuan Liu, James Cheng

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* 9 pages, 5 figures, AAAI 2014 
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