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ORCIDYang Liu 0250
- > Home > Persons > Yang Liu 0250
Publications
- 2025
[j4]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Gradient-aware domain-invariant learning for domain generalization. Multim. Syst. 31(1): 40 (2025)- [j3]Feng Hou
, Jin Yuan, Ying Yang, Yao Zhang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He, Yong Rui:
DomainVerse: A Benchmark Towards Real-World Distribution Shifts for Training-Free Adaptive Domain Generalization. IEEE Trans. Multim. 27: 6648-6660 (2025) - [c6]Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. AAAI 2025: 5658-5666 - 2024
- [j2]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7478-7498 (2024) - [i9]Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Yong Rui, Zhiqiang He:
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization. CoRR abs/2403.02714 (2024) - 2023
- [c5]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CVPR 2023: 15539-15547 - [c4]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning How to Learn Domain-Invariant Parameters for Domain Generalization. ICASSP 2023: 1-5 - 2022
- [i8]Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images. CoRR abs/2205.13199 (2022) - [i7]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CoRR abs/2211.02006 (2022) - [i6]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning to Learn Domain-invariant Parameters for Domain Generalization. CoRR abs/2211.04582 (2022) - 2021
- [j1]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. Comput. Methods Programs Biomed. 202: 106004 (2021) - [c3]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. MICCAI (7) 2021: 410-420 - [i5]Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2106.14591 (2021) - [i4]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. CoRR abs/2111.06091 (2021) - 2020
- [i3]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. CoRR abs/2006.13877 (2020)
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