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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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MWQ: Multiscale Wavelet Quantized Neural Networks


Mar 09, 2021
Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu


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Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization


Mar 04, 2021
Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu


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Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks


Nov 29, 2020
Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li


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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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Data Augmentation Imbalance For Imbalanced Attribute Classification


May 21, 2020
Yang Hu, Xiaying Bai, Pan Zhou, Fanhua Shang, Shengmei Shen

* This paper needs further revision 

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A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition


May 10, 2020
Miaohua Zhang, Yongsheng Gao, Fanhua Shang


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Deep Residual-Dense Lattice Network for Speech Enhancement


Feb 27, 2020
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang

* 8 pages, Accepted by AAAI-2020 

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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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Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1


May 31, 2019
Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao

* 9 pages, 2 figures, Proc. 33rd AAAI Conf. Artif. Intell., 2019 

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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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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

* IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9): 2066-2080, 2018 
* 29 pages, 19 figures 

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ASVRG: Accelerated Proximal SVRG


Oct 07, 2018
Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin

* 32 pages, 3 figures 

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A Unified Approximation Framework for Deep Neural Networks


Jul 27, 2018
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu

* 10 pages, 4 figures, 2 tables 

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A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates


Jun 28, 2018
Kaiwen Zhou, Fanhua Shang, James Cheng

* ICML2018 

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Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization


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

* 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

* 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

* 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

* 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

* Corrected a few typos in this version 

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