Xiuying Wei

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Ad Hoc Information Retrieval

Quantization Step

Top Venues

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)
Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. CoRR (2024)
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis. CoRR (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)
Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. AAAI (2024)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR (2024)
Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers. CoRR (2024)
Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. 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 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)
Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
) Post-training Model Size Compression. ICCV (2023)
Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
) Post-training Model Size Compression. CoRR (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)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR (2022)
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR (2022)