Xiangguo Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Language Modelling

Top Venues

IEEE Commun. Lett.

Int. J. Comput. Vis.

Publications

Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. AAAI (2024)
Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. CoRR (2024)
Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR (2023)
Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP (2023)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. 131 (1) (2023)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR (2022)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS (2022)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR (2021)
Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR (2021)
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR (2021)
Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR (2021)
Xiaodong Zhu, Xiangguo Zhang, Weiliang Zeng, Jun Xie
Deep Learning-Based Precoder Design in MIMO Systems With Finite-Alphabet Inputs. IEEE Commun. Lett. 24 (11) (2020)