Hujun Yin

3D Point Cloud Feature Explanations Using Gradient-Based Methods

2020

Explainability is an important factor to drive user trust in the use of neural networks for tasks with material impact. However, most of the work done in this area focuses on image analysis and does …

Cross-Domain Self-Supervised Learning for Histopathological Images With Multi-Granularity Constraints

2025 · IEEE Transactions on Emerging Topics in Computational Intelligence

In pathological image analysis, the scarcity of labeled data and the difficulty of producing scores of annotated images to high-level details hinder the development of large, high-quality datasets, which in turn affects the advancement of …