Xiuying Wei - RankMe

22 papers A* 9Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference. CoRR Xiuying Wei, Caglar Gulcehre
2025	A*	`conf`	AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. AAAI Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin
2025	J	`jnl`	From Markov to Laplace: How Mamba In-Context Learns Markov Chains. CoRR Marco Bondaschi, Nived Rajaraman, Xiuying Wei, Kannan Ramchandran, Razvan Pascanu, Caglar Gulcehre, Michael Gastpar, Ashok Vardhan Makkuva
2025	J	`jnl`	Pushing the Limit of Post-Training Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo
2025	J	`jnl`	RAT: Bridging RNN Efficiency and Attention Accuracy in Language Modeling. CoRR Xiuying Wei, Anunay Yadav, Razvan Pascanu, Caglar Gulcehre
2024	A*	`conf`	Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers. NeurIPS Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024	J	`jnl`	Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers. CoRR Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024	A*	`conf`	Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. AAAI Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
2024	J	`jnl`	Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. CoRR Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
2024	J	`jnl`	Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis. CoRR Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
2024	A*	`conf`	QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. ICLR Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
2024	A*	`conf`	Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. AAAI Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
2024	J	`jnl`	Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. CoRR Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
2023	A*	`conf`	Lossy and Lossless (L ICCV Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
2023	J	`jnl`	Lossy and Lossless (L CoRR Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang
2023	A*	`conf`	Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models. CoRR Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
2022	A*	`conf`	Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
2022	J	`jnl`	Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
2022	A*	`conf`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
2022	J	`jnl`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu