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Ruijia Xu
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2020 – today
- 2024
- [c10]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. ICCS (4) 2024: 163-170 - [i8]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition. CoRR abs/2404.10405 (2024) - 2023
- [j1]Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang:
Black-Box Prompt Learning for Pre-trained Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang:
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories. ACL (1) 2023: 5113-5129 - [i7]Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang:
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories. CoRR abs/2306.05406 (2023) - 2022
- [c8]Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang:
Exploring Geometric Consistency for Monocular 3D Object Detection. CVPR 2022: 1675-1684 - 2021
- [c7]Shizhe Diao, Ruijia Xu, Hongjin Su
, Yilei Jiang, Yan Song, Tong Zhang:
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation. ACL/IJCNLP (1) 2021: 3336-3349 - [i6]Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang:
Geometry-aware data augmentation for monocular 3D object detection. CoRR abs/2104.05858 (2021) - 2020
- [c6]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. AAAI 2020: 12613-12620 - [c5]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. ECCV (18) 2020: 86-102 - [i5]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection. CoRR abs/2009.08119 (2020)
2010 – 2019
- 2019
- [c4]Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin:
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. CVPR 2019: 4994-5002 - [c3]Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. ICCV 2019: 1426-1435 - [i4]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. CoRR abs/1912.08954 (2019) - 2018
- [c2]Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. CVPR 2018: 3964-3973 - [i3]Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift. CoRR abs/1803.00830 (2018) - [i2]Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach. CoRR abs/1811.07456 (2018) - 2017
- [c1]Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. ICCV 2017: 464-472 - [i1]Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin:
Multi-label Image Recognition by Recurrently Discovering Attentional Regions. CoRR abs/1711.02816 (2017)
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