On Quality Trade-off Control for Approximate Computing Using Iterative Training. - Chengwen Xu; Xiangyu Wu; Wenqi Yin; Qiang Xu 001; Naifeng Jing; Xiaoyao Liang; Li Jiang 002 (DAC, 2017)

AXNet: approximate computing using an end-to-end trainable neural network. - Zhenghao Peng; Xuyang Chen; Chengwen Xu; Naifeng Jing; Xiaoyao Liang; Cewu Lu; Li Jiang 002 (ICCAD, 2018)

Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. - Haiyue Song; Chengwen Xu; Qiang Xu 001; Zhuoran Song; Naifeng Jing; Xiaoyao Liang; Li Jiang 002 (ICCAD, 2018)

Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. - Li Jiang 002; Zhuoran Song; Haiyue Song; Chengwen Xu; Qiang Xu 001; Naifeng Jing; Weifeng Zhang 003; Xiaoyao Liang (ACM Trans. Design Autom. Electr. Syst., 2019)