19 citations · 26 across the 8 of their papers we have counts for
8 papers
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts
Zhihao Wang, Chuang Zhu
Explaining deep learning models is of vital importance for understanding artificial intelligence systems, improving safety, and evaluating fairness. To better understand and contro…
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Shengjie Liu, Chuang Zhu, Feng Xu +3
The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is cond…
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
Wenkai Chen, Chuang Zhu, Yi Chen +2
Imperfect labels are ubiquitous in real-world datasets and seriously harm the model performance. Several recent effective methods for handling noisy labels have two key steps: 1) d…
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
Shuhao Qiu, Chuang Zhu, Wenli Zhou
In recent years, deep learning-based methods have shown promising results in computer vision area. However, a common deep learning model requires a large amount of labeled data, wh…
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou +1
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models. Unsupervised domain adaptation (UDA) attempts to…
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
Chuang Zhu, Ke Mei, Ting Peng +4
The automatic and objective medical diagnostic model can be valuable to achieve early cancer detection, and thus reducing the mortality rate. In this paper, we propose a highly eff…