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2020 – today
- 2024
[c7]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- [c6]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: 12190-12198 - [c5]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 - [i9]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 abs/2405.05808 (2024) - [i8]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) - [i7]Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre:
Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers. CoRR abs/2406.16450 (2024) - [i6]Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre:
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis. CoRR abs/2407.09835 (2024) - 2023
- [c4]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 - [c3]Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong
, Jianlei Yang:
Lossy and Lossless (L2) Post-training Model Size Compression. ICCV 2023: 17500-17510 - [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) - [i4]Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang:
Lossy and Lossless (L2) Post-training Model Size Compression. CoRR abs/2308.04269 (2023) - [i3]Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang:
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR abs/2310.08041 (2023) - 2022
- [c2]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR 2022 - [c1]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 - [i2]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR abs/2203.05740 (2022) - [i1]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)
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