MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image Segmentation. - Jiuqiang Li 001 (ICIP, 2023)

LGEFE: Effective Local-Global-External Feature Extraction for 3D Point Cloud Classification. - Jiuqiang Li 001 (IJCNN, 2023)

EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification. - Jiuqiang Li 001 (KSEM (1), 2023)

CAME: Convolution and Attention Construct Multi-Scale Neural Network Efficiently for Medical Image Classification. - Jiuqiang Li 001 (SMC, 2023)

Hybrid Convolution-Transformer for Lightweight Single Image Super-Resolution. - Jiuqiang Li 001; Yutong Ke (ICASSP, 2024)

Mixed Informed Transformer for Few-Shot Medical Image Segmentation. - Jiuqiang Li 001; Zheng Wang; Shilei Zhu (ICASSP, 2024)

Channel-Spatial Transformer for Efficient Image Super-Resolution. - Jiuqiang Li 001; Shilei Zhu (ICASSP, 2024)

Multi-View Interactive Compromise Learning for Group Recommendation. - Jiuqiang Li 001; Shilei Zhu (ICASSP, 2024)