Patch Similarity Aware Data-Free Quantization for Vision Transformers. - Zhikai Li; Liping Ma; Mengjuan Chen; Junrui Xiao; Qingyi Gu (ECCV (11), 2022)

DLA: Dynamic Label Assignment for Accurate One-stage Object Detection. - He Jiang; Junrui Xiao; Qingyi Gu (ICSCA, 2022)

Estimation of coronary artery movement using a non-rigid registration with global-local structure preservation. - Bu Xu; Benqiang Yang; Junrui Xiao; Along Song; Bin Wang; Lu Wang 001; Lisheng Xu; Stephen E. Greenwald; Yudong Yao (Comput. Biol. Medicine, 2022)

HFT: Lifting Perspective Representations via Hybrid Feature Transformation. - Jiayu Zou; Junrui Xiao; Zheng Zhu; Junjie Huang 005; Guan Huang 003; Dalong Du; Xingang Wang 003 (CoRR, 2022)

PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers. - Zhikai Li; Mengjuan Chen; Junrui Xiao; Qingyi Gu (CoRR, 2022)

Dual-discriminator adversarial framework for data-free quantization. - Zhikai Li; Liping Ma; Xianlei Long; Junrui Xiao; Qingyi Gu (Neurocomputing, 2022)

Rethinking prediction alignment in one-stage object detection. - Junrui Xiao; He Jiang; Zhikai Li; Qingyi Gu (Neurocomputing, 2022)

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)

DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection. - Junrui Xiao; He Jiang; Zhikai Li; Qingyi Gu (IET Image Process., 2023)

Temporal action detection with dynamic weights based on curriculum learning. - Yunze Chen; He Jiang; Junrui Xiao; Ding Li; Qingyi Gu (Neurocomputing, 2023)

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

Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models. - Xuewen Liu; Zhikai Li; Junrui Xiao; 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)

HTQ: Exploring the High-Dimensional Trade-Off of mixed-precision quantization. - Zhikai Li; Xianlei Long; Junrui Xiao; Qingyi Gu (Pattern Recognit., 2024)

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers. - Zhikai Li; Mengjuan Chen; Junrui Xiao; Qingyi Gu (IEEE Trans. Neural Networks Learn. Syst., 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)