Qiang Wu - RankMe

15 papers A* 4Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator. CoRR Cong Li, Yihan Yin, Chenhao Xue, Zhao Wang, Fujun Bai, Yixin Guo, Xiping Jiang, Qiang Wu, Yuan Xie, Guangyu Sun
2026	A*	`conf`	OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs. AAAI Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu
2026	A*	`conf`	VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling. AAAI Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang
2025	A*	`conf`	AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. ISCA Yuanpeng Zhang, Xing Hu, Xi Chen, Zhihang Yuan, Cong Li, Jingchen Zhu, Zhao Wang, Chenguang Zhang, Xin Si, Wei Gao, Qiang Wu, Runsheng Wang, Guangyu Sun
2025	J	`jnl`	AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. CoRR Yuanpeng Zhang, Xing Hu, Xi Chen, Zhihang Yuan, Cong Li, Jingchen Zhu, Zhao Wang, Chenguang Zhang, Xin Si, Wei Gao, Qiang Wu, Runsheng Wang, Guangyu Sun
2025	A*	`conf`	H ISCA Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Guangyu Sun
2025	J	`jnl`	OTARo: Once Tuning for All Precisions toward Robust On-Device LLMs. CoRR Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu
2025	J	`jnl`	RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models. CoRR Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang
2025	J	`jnl`	VAEVQ: Enhancing Discrete Visual Tokenization through Variational Modeling. CoRR Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang
2023	J	`jnl`	ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models. CoRR Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun
2023	J	`jnl`	Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
2023	J	`jnl`	PB-LLM: Partially Binarized Large Language Models. CoRR Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong
2023	J	`jnl`	RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
2022	—	`conf`	PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization. ECCV (12) Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun
2021	J	`jnl`	PTQ4ViT: Post-Training Quantization Framework for Vision Transformers. CoRR Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun