| 2024 | ICCS | Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. | Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee |
| 2023 | ACL | Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories. | Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang |
| 2022 | CVPR | Exploring Geometric Consistency for Monocular 3D Object Detection. | Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang |
| 2021 | ACL | Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation. | Shizhe Diao, Ruijia Xu, Hongjin Su, Yilei Jiang, Yan Song, Tong Zhang |
| 2020 | AAAI | An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. | Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin |
| 2020 | ECCV | Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. | Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin |
| 2019 | CVPR | ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. | Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin |
| 2019 | ICCV | Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. | Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin |
| 2018 | CVPR | Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. | Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin |
| 2017 | ICCV | Multi-label Image Recognition by Recurrently Discovering Attentional Regions. | Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin |