Haocheng Shen

According to our database, Haocheng Shen authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DPL: Decoupled Prompt Learning for Vision-Language Models.

Chen Xu, Yuhan Zhu, Guozhen Zhang, Haocheng Shen, Yixuan Liao, Xiaoxin Chen, Gangshan Wu, Limin Wang

CoRR, 2023

Progressive Visual Prompt Learning with Contrastive Feature Re-formation.

Chen Xu, Haocheng Shen, Fengyuan Shi, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang

CoRR, 2023

PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining.

Yasan Ding, Bin Guo, Yan Liu, Hao Wang, Haocheng Shen, Zhiwen Yu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

MetaDetector: Meta Event Knowledge Transfer for Fake News Detection.

Yasan Ding, Bin Guo, Yan Liu, Yunji Liang, Haocheng Shen, Zhiwen Yu

ACM Trans. Intell. Syst. Technol., 2022

Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation.

Zhenrong Lin, Jidong Li, Qipeng Yao, Haocheng Shen, Lihang Wan

Multim. Tools Appl., 2022

2020

New Boundary Constraint Loss to Facilitate Glands Segmentation.

Weijia Lu, Jianhua Yao, Xiao Han, Haocheng Shen

J. Medical Imaging Health Informatics, 2020

Microscope Based HER2 Scoring System.

Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han

CoRR, 2020

A Clifford Analytic Signal-Based Breast Lesion Segmentation Method for 4D Spatial-Temporal DCE-MRI Sequences.

Liang Wang, Haocheng Shen, Jun Zhang, Yanchun Zhu, Cheng Jiang

IEEE Access, 2020

Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection.

Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang

IEEE Access, 2020

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy.

Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.

Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

Multi-task Fully Convolutional Network for Brain Tumour Segmentation.

Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation.

Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation.

Haocheng Shen, Jianguo Zhang, Wei-Shi Zheng

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Fully connected CRF with data-driven prior for multi-class brain tumor segmentation.

Haocheng Shen, Jianguo Zhang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study.

Haocheng Shen, Jianguo Zhang, Hui Zhang

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014