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2020 – today
- 2024
[i6]Yuhan Zhu, Guozhen Zhang, Chen Xu, Haocheng Shen, Xiaoxin Chen, Gangshan Wu, Limin Wang:
Efficient Test-Time Prompt Tuning for Vision-Language Models. CoRR abs/2408.05775 (2024)- [i5]Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang:
ControlAR: Controllable Image Generation with Autoregressive Models. CoRR abs/2410.02705 (2024) - 2023
- [c9]Yasan Ding, Bin Guo, Yan Liu, Hao Wang
, Haocheng Shen, Zhiwen Yu:
PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining. ECAI 2023: 549-556 - [i4]Chen Xu, Haocheng Shen, Fengyuan Shi, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang:
Progressive Visual Prompt Learning with Contrastive Feature Re-formation. CoRR abs/2304.08386 (2023) - [i3]Chen Xu, Yuhan Zhu, Guozhen Zhang, Haocheng Shen, Yixuan Liao, Xiaoxin Chen, Gangshan Wu, Limin Wang:
DPL: Decoupled Prompt Learning for Vision-Language Models. CoRR abs/2308.10061 (2023) - 2022
- [j5]Zhenrong Lin, Jidong Li, Qipeng Yao, Haocheng Shen, Lihang Wan:
Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation. Multim. Tools Appl. 81(4): 5989-6008 (2022) - [j4]Yasan Ding, Bin Guo, Yan Liu, Yunji Liang, Haocheng Shen, Zhiwen Yu:
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection. ACM Trans. Intell. Syst. Technol. 13(6): 93:1-93:25 (2022) - 2021
- [c8]Haocheng Shen, Bin Guo, Yasan Ding, Zhiwen Yu:
MDN: Meta-transfer Learning Method for Fake News Detection. ChineseCSCW (2) 2021: 228-237 - [i2]Yasan Ding, Bin Guo, Yan Liu, Yunji Liang, Haocheng Shen, Zhiwen Yu:
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection. CoRR abs/2106.11177 (2021) - 2020
- [j3]Liang Wang, Haocheng Shen, Jun Zhang, Yanchun Zhu, Cheng Jiang:
A Clifford Analytic Signal-Based Breast Lesion Segmentation Method for 4D Spatial-Temporal DCE-MRI Sequences. IEEE Access 8: 3901-3910 (2020) - [j2]Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang:
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8: 133051-133062 (2020) - [j1]Weijia Lu, Jianhua Yao, Xiao Han, Haocheng Shen:
New Boundary Constraint Loss to Facilitate Glands Segmentation. J. Medical Imaging Health Informatics 10(7): 1714-1723 (2020) - [c7]Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han:
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) 2020: 299-308 - [c6]Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han:
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) 2020: 509-518 - [i1]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020)
2010 – 2019
- 2017
- [c5]Haocheng Shen, Jianguo Zhang:
Fully connected CRF with data-driven prior for multi-class brain tumor segmentation. ICIP 2017: 1727-1731 - [c4]Haocheng Shen, Jianguo Zhang, Wei-Shi Zheng:
Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation. ICIP 2017: 3864-3868 - [c3]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) 2017: 433-441 - [c2]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA 2017: 239-248 - 2014
- [c1]Haocheng Shen, Jianguo Zhang, Hui Zhang:
Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study. ECCV Workshops (2) 2014: 14-28
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