Deep Learning-Based Precoder Design in MIMO Systems With Finite-Alphabet Inputs. - Xiaodong Zhu; Xiangguo Zhang; Weiliang Zeng; Jun Xie (IEEE Commun. Lett., 2020)

Diversifying Sample Generation for Accurate Data-Free Quantization. - Xiangguo Zhang; Haotong Qin; Yifu Ding; Ruihao Gong; Qinghua Yan; Renshuai Tao; Yuhang Li 001; Fengwei Yu; Xianglong Liu 001 (CVPR, 2021)

Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Aoyu Li; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (CoRR, 2021)

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. - Xiuying Wei; Yunchen Zhang; Xiangguo Zhang; Ruihao Gong; Shanghang Zhang; Qi Zhang; Fengwei Yu; Xianglong Liu 001 (NeurIPS, 2022)

Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. - Xiuying Wei; Yunchen Zhang; Yuhang Li 001; Xiangguo Zhang; Ruihao Gong; Jinyang Guo; Xianglong Liu 001 (EMNLP, 2023)

Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. - Xiuying Wei; Yunchen Zhang; Yuhang Li 001; Xiangguo Zhang; Ruihao Gong; Jinyang Guo; Xianglong Liu 001 (CoRR, 2023)

Distribution-Sensitive Information Retention for Accurate Binary Neural Network. - Haotong Qin; Xiangguo Zhang; Ruihao Gong; Yifu Ding; Yi Xu 013; Xianglong Liu 001 (Int. J. Comput. Vis., 2023)

Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. - Haotong Qin; Yifu Ding; Xiangguo Zhang; Jiakai Wang; Xianglong Liu 001; Jiwen Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. - Yunqian Fan; Xiuying Wei; Ruihao Gong; Yuqing Ma; Xiangguo Zhang; Qi Zhang; Xianglong Liu 001 (AAAI, 2024)