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Constrained Optimization Involving Nonconvex $\ell_p$ Norms: Optimality Conditions, Algorithm and Convergence


Oct 27, 2021
Hao Wang, Yining Gao, Jiashan Wang, Hongying Liu


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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

* 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

* Accepted for presentation at the ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI 

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Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration


Jun 18, 2021
Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin

* arXiv admin note: substantial text overlap with arXiv:1905.13389 

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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

* 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

* 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

* 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

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


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

* 7 pages, 3 figures, Appeared at the Data Science Meets Optimization Workshop (DSO) at IJCAI'19 

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signADAM: Learning Confidences for Deep Neural Networks


Jul 21, 2019
Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao

* 11 pages, 7 figures 

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation


Jul 17, 2019
Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang

* 9 pages, 4 figures 

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VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning


Oct 28, 2018
Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao

* 46 pages, 25 figures. IEEE Transactions on Knowledge and Data Engineering, accepted in October, 2018. arXiv admin note: substantial text overlap with arXiv:1704.04966 

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Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification


Jul 01, 2015
Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan


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