Haocheng Shen

Orcid: 0000-0002-8222-4491

According to our database1, Haocheng Shen authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Efficient Test-Time Prompt Tuning for Vision-Language Models.
CoRR, 2024

2023
DPL: Decoupled Prompt Learning for Vision-Language Models.
CoRR, 2023

Progressive Visual Prompt Learning with Contrastive Feature Re-formation.
CoRR, 2023

PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining.
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.
ACM Trans. Intell. Syst. Technol., 2022

Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation.
Multim. Tools Appl., 2022

2021
MDN: Meta-transfer Learning Method for Fake News Detection.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
New Boundary Constraint Loss to Facilitate Glands Segmentation.
J. Medical Imaging Health Informatics, 2020

Microscope Based HER2 Scoring System.
CoRR, 2020

A Clifford Analytic Signal-Based Breast Lesion Segmentation Method for 4D Spatial-Temporal DCE-MRI Sequences.
IEEE Access, 2020

Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection.
IEEE Access, 2020

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017
Multi-task Fully Convolutional Network for Brain Tumour Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Fully connected CRF with data-driven prior for multi-class brain tumor segmentation.
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.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014


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