Yilong Yin

Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification

2017 · IEEE Journal of Biomedical and Health Informatics

We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in image analysis-invariance to …

N3C: Towards Replay-based Novelty Continual Clustering with Class-Overlapping

2025

Deep clustering has excelled in batch settings, but little work has addressed the more practical and challenging continual clustering (CC) with shifting data distributions. Additionally, class-overlapping, also a challenging issue, where classes recur across tasks, …

MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Multi-task reinforcement learning (RL) aims to enhance agent performance across multiple tasks by enabling effective knowledge transfer. However, these methods adopt a fully shared policy across all tasks without explicitly distinguishing between related and conflicting …