| 2025 | AAAI | Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes. | Ji Shi, Xianghua Ying, Ruohao Guo, Bowei Xing, Wenzhen Yue |
| 2025 | CVPR | Audio-Visual Instance Segmentation. | Ruohao Guo, Xianghua Ying, Yaru Chen, Dantong Niu, Guangyao Li, Liao Qu, Yanyu Qi, Jinxing Zhou, Bowei Xing, Wenzhen Yue, Ji Shi, Qixun Wang, Peiliang Zhang, Buwen Liang |
| 2025 | IJCAI | FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting. | Wenzhen Yue, Yong Liu, Xianghua Ying, Bowei Xing, Ruohao Guo, Ji Shi |
| 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 | IJCAI | Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods. | Wenzhen Yue, Xianghua Ying, Ruohao Guo, DongDong Chen, Ji Shi, Bowei Xing, Yuqing Zhu, Taiyan Chen |
| 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 |