Yang Liu

19 papers A* 2Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes.
AAAI
Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2025 J jnl
DomainVerse: A Benchmark Towards Real-World Distribution Shifts for Training-Free Adaptive Domain Generalization.
IEEE Trans. Multim.
Feng Hou, Jin Yuan, Ying Yang, Yao Zhang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He, Yong Rui
2025 J jnl
Gradient-aware domain-invariant learning for domain generalization.
Multim. Syst.
Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2024 J jnl
A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst.
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2024 J jnl
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization.
CoRR
Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Yong Rui, Zhiqiang He
2023 Misc conf
Learning How to Learn Domain-Invariant Parameters for Domain Generalization.
ICASSP
Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2023 A* conf
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
CVPR
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2022 J jnl
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images.
CoRR
Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2022 J jnl
Learning to Learn Domain-invariant Parameters for Domain Generalization.
CoRR
Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2022 J jnl
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
CoRR
Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
A Survey of Visual Transformers.
CoRR
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 — conf
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
MICCAI (7)
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
CoRR
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021 J jnl
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Comput. Methods Programs Biomed.
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020 J jnl
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.
CoRR
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020 — conf
Modality-Pairing Learning for Brain Tumor Segmentation.
BrainLes@MICCAI (1)
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 J jnl
Modality-Pairing Learning for Brain Tumor Segmentation.
CoRR
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 — conf
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
M&Ms and EMIDEC/STACOM@MICCAI
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020 J jnl
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
CoRR
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He