activity
20212023
most citedActive Learning-Based Optimization of Scientific Experimental Design

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Ruoyu Wang, Yongqi Yang, Zhihao Qian +2

Originating from the diffusion phenomenon in physics that describes particle movement, the diffusion generative models inherit the characteristics of stochastic random walk in the…

cs.CV2022★ 1 cited

An Aggregation of Aggregation Methods in Computational Pathology

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang +4

Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide images (WSIs) often process a large number of tiles (sub-images) and require aggregating pre…

cs.CV2022

Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images

Ruoyu Wang, Syed Ali Khurram, Amina Asif +2

The aetiology of head and neck squamous cell carcinoma (HNSCC) involves multiple carcinogens such as alcohol, tobacco and infection with human papillomavirus (HPV). As the HPV infe…

stat.ML2022

Out-of-distribution Generalization with Causal Invariant Transformations

Ruoyu Wang, Mingyang Yi, Zhitang Chen +1

In real-world applications, it is important and desirable to learn a model that performs well on out-of-distribution (OOD) data. Recently, causality has become a powerful tool to t…

cs.LG2021★ 2 cited

Active Learning-Based Optimization of Scientific Experimental Design

Ruoyu Wang

Active learning (AL) is a machine learning algorithm that can achieve greater accuracy with fewer labeled training instances, for having the ability to ask oracles to label the mos…