Research status of deep learning methods for rumor detection. - Li Tan; Ge Wang; Feiyang Jia; Xiaofeng Lian (Multim. Tools Appl., 2023)

A super-resolution network using channel attention retention for pathology images. - Feiyang Jia; Li Tan; Ge Wang; Caiyan Jia; Zhineng Chen (PeerJ Comput. Sci., 2023)

GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection. - Ziying Song; Lei Yang 060; Shaoqing Xu; Lin Liu; Dongyang Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (ECCV (26), 2024)

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM. - Ziying Song; Guoxing Zhang; Lin Liu; Lei Yang 060; Shaoqing Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (IJCAI, 2024)

RoboFusion: Towards Robust Multi-Modal 3D obiect Detection via SAM. - Ziying Song; Guoxing Zhang; Lin Liu; Lei Yang 060; Shaoqing Xu; Caiyan Jia; Feiyang Jia; Li Wang 092 (CoRR, 2024)

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection. - Ziying Song; Feiyang Jia; Hongyu Pan; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lin Liu; Yang Ji; Lei Yang 060; Li Wang 092 (CoRR, 2024)

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection. - Lin Liu; Ziying Song; Qiming Xia; Feiyang Jia; Caiyan Jia; Lei Yang; Hongyu Pan (CoRR, 2024)

CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer. - Feiyang Jia; Zhineng Chen; Ziying Song; Lin Liu; Caiyan Jia (CoRR, 2024)

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection. - Lin Liu; Ziying Song; Qiming Xia; Feiyang Jia; Caiyan Jia; Lei Yang 060; Yan Gong; Hongyu Pan (IEEE Trans. Geosci. Remote. Sens., 2024)

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook. - Ziying Song; Lin Liu; Feiyang Jia; Yadan Luo; Caiyan Jia; Guoxin Zhang; Lei Yang 060; Li Wang 092 (IEEE Trans. Intell. Transp. Syst., 2024)