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    Shrinking gradient descent algorithms for total variation regularized image denoising

    Total variation regularization introduced by Rudin, Osher, and Fatemi (ROF) is widely used in image denoising problems for its capability to preserve repetitive textures and details of images. Many efforts hav...

    Mingqiang Li, Congying Han, Ruxin Wang in Computational Optimization and Applications (2017)

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    A two-stage method for member selection of emergency medical service

    Member selection is an important decision making problem in the formation of emergency medical teams. It involves selecting an optimal combination from a reasonable number of doctors, nurses and emergency medi...

    ** Chen, Zhi** Fan, Zhiwu Li, Xueliang Han in Journal of Combinatorial Optimization (2015)

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    A Location-free Algorithm of Energy-Efficient Connected Coverage for High Density Wireless Sensor Networks

    One of the most serious concerns for wireless sensor networks (WSN) is energy. To obtain long lifetime, one potential method is deploying redundant sensors in the WSN and let each sensor switch its state betwe...

    Hongxing Bai, ** Chen, Bin Li, Dianfei Han in Discrete Event Dynamic Systems (2007)