| 2024 | AAAI | VPDETR: End-to-End Vanishing Point DEtection TRansformers. | Taiyan Chen, Xianghua Ying, Jinfa Yang, Ruibin Wang, Ruohao Guo, Bowei Xing, Ji Shi |
| 2024 | ECCV | Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation. | Bowei Xing, Xianghua Ying, Ruibin Wang, Ruohao Guo, Ji Shi, Wenzhen Yue |
| 2024 | ICRA | Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation. | Bowei Xing, Xianghua Ying, Ruibin Wang |
| 2023 | AAAI | ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud. | Ruibin Wang, Xianghua Ying, Bowei Xing, Jinfa Yang |
| 2023 | AAAI | Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation. | Bowei Xing, Xianghua Ying, Ruibin Wang, Jinfa Yang, Taiyan Chen |
| 2022 | ACL | Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy. | Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing |
| 2022 | COLING | Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations. | Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing |
| 2022 | CVPR | Transformer Based Line Segment Classifier with Image Context for Real-Time Vanishing Point Detection in Manhattan World. | Xin Tong, Xianghua Ying, Yongjie Shi, Ruibin Wang, Jinfa Yang |
| 2022 | CVPR | ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. | Ruibin Wang, Yibo Yang, Dacheng Tao |
| 2021 | IJCAI | Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction. | Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang |