RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers. - Zhikai Li; Junrui Xiao; Lianwei Yang; Qingyi Gu (ICCV, 2023)

Patch-wise Mixed-Precision Quantization of Vision Transformer. - Junrui Xiao; Zhikai Li; Lianwei Yang; Qingyi Gu (IJCNN, 2023)

MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction. - Lianwei Yang; Zhikai Li; Junrui Xiao; Haisong Gong; Qingyi Gu (ICIP, 2024)

DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers. - Lianwei Yang; Haisong Gong; Qingyi Gu (CoRR, 2024)

TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation. - Junrui Xiao; Zhikai Li; Lianwei Yang; Yiduo Mei; Qingyi Gu (CoRR, 2024)

BinaryViT: Toward Efficient and Accurate Binary Vision Transformers. - Junrui Xiao; Zhikai Li; Jianquan Li; Lianwei Yang; Qingyi Gu (IEEE Trans. Circuits Syst. Video Technol., 2025)

LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation. - Lianwei Yang; Haokun Lin; Tianchen Zhao; Yichen Wu; Hongyu Zhu; Ruiqi Xie; Zhenan Sun; Yu Wang; Qingyi Gu (CoRR, 2025)