AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks. - Fangxin Liu; Wenbo Zhao 005; Yanzhi Wang; Changzhi Dai; Li Jiang 002 (CoRR, 2020)

Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. - Fangxin Liu; Wenbo Zhao 005; Zhezhi He; Yanzhi Wang; Zongwu Wang; Changzhi Dai; Xiaoyao Liang; Li Jiang 002 (ICCV, 2021)