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Xiangguo Zhang
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Journal Articles
- 2023
- [j3]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): 26-47 (2023) - [j2]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): 11689-11706 (2023) - 2020
- [j1]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): 2518-2521 (2020)
Conference and Workshop Papers
- 2024
- [c4]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: 11936-11943 - 2023
- [c3]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: 1648-1665 - 2022
- [c2]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 - 2021
- [c1]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: 15658-15667
Informal and Other Publications
- 2024
- [i6]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 abs/2405.06264 (2024) - 2023
- [i5]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 abs/2304.09145 (2023) - 2022
- [i4]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 abs/2209.13325 (2022) - 2021
- [i3]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 abs/2103.01049 (2021) - [i2]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 abs/2109.00212 (2021) - [i1]Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR abs/2109.12338 (2021)
Coauthor Index
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