Qiang Wu

According to our database, Qiang Wu authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AccelCIM: Systematic Dataflow Exploration for SRAM Compute-in-Memory Accelerator.

Chenhao Xue, Yukun Wang, An Guo, Yuhui Shi, Jinwei Zhou, Xiping Dong, Yihan Yin, Yuanpeng Zhang, Tianyu Jia, Wei Gao, Qiang Wu, Xin Si, Jun Yang, Guangyu Sun

CoRR, April, 2026

A Full-Stack Performance Evaluation Infrastructure for 3D-DRAM-based LLM Accelerators.

Cong Li, Chenhao Xue, Yi Ren, Xiping Dong, Yu Cheng, Yinbo Hu, Fujun Bai, Yixin Guo, Xiping Jiang, Qiang Wu, Zhi Yang, Zhe Cheng, Yuan Xie, Guangyu Sun

CoRR, April, 2026

Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator.

Cong Li, Yihan Yin, Chenhao Xue, Zhao Wang, Fujun Bai, Yixin Guo, Xiping Jiang, Qiang Wu, Yuan Xie, Guangyu Sun

CoRR, March, 2026

VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling.

Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs.

Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models.

Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang

CoRR, October, 2025

AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM.

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

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

H²-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference.

Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Guangyu Sun

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2023

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Zhihang Yuan, Yuzhang Shang, Yue Song, Qiang Wu, Yan Yan, Guangyu Sun

CoRR, 2023

PB-LLM: Partially Binarized Large Language Models.

Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong

CoRR, 2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models.

Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu

CoRR, 2023

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance.

Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu

CoRR, 2023

2022

PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization.

Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

PTQ4ViT: Post-Training Quantization Framework for Vision Transformers.

Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

CoRR, 2021