Qiwei Dong

According to our database, Qiwei Dong authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

An Efficient Window-Based Vision Transformer Accelerator via Mixed-Granularity Sparsity.

Qiwei Dong, Siyu Zhang, Zhongfeng Wang

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2025

A Memory-Efficient Framework for Deformable Transformer with Neural Architecture Search.

Wendong Mao, Mingfan Zhao, Jianfeng Guan, Qiwei Dong, Zhongfeng Wang

CoRR, July, 2025

A Unified Accelerator for All-in-One Image Restoration Based on Prompt Degradation Learning.

Siyu Zhang, Qiwei Dong, Wendong Mao, Zhongfeng Wang

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2025

An Efficient Sparse Hardware Accelerator for Spike-Driven Transformer.

Zhengke Li, Wendong Mao, Siyu Zhang, Qiwei Dong, Zhongfeng Wang

CoRR, January, 2025

In silico determination of the temporal viral loads in the saliva and exhaled droplets from the oral cavity.

Qiwei Dong, Kazuki Kuga, Dang Khoa Nguyen, Kazuhide Ito

Comput. Biol. Medicine, 2025

SSMA: A Memory-Efficient Accelerator for State Space Model in the Mamba.

Qiwei Dong, Siyu Zhang, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Association between low-frequency oscillation and cognitive compensation in high-performance group: An fNIRS mapping study.

Xiang Ji, Qiwei Dong, Zhanxu Liu, Jiangbo Pu, Ting Li

NeuroImage, 2024

Stability Assessment of Ultramicroelectrode Arrays in Neural Stimulation: an Electrochemical Impedance Spectroscopy Analysis.

Qiwei Dong, Cynthia Ezeh, Yupeng Wu, Jamille F. Hetke, Stuart F. Cogan, Mark E. Orazem, Kevin J. Otto

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

SWAT: An Efficient Swin Transformer Accelerator Based on FPGA.

Qiwei Dong, Xiaoru Xie, Zhongfeng Wang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Comparative Analysis of Deep Learning Models for Brand Logo Classification in Real-World Scenarios.

Qimao Yang, Huili Chen, Qiwei Dong

CoRR, 2023