no code implementations • 9 Nov 2023 • Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman
Our experimental results demonstrate the effectiveness of our approach, showcasing improved classification performance compared to traditional single-instance label-based methods.
no code implementations • 23 Feb 2023 • Jia Chen, Renyu Zhang, Yuanyi Liu
Recently, Swarm Intelligence-related LFA models have been proposed and adopted widely to improve the optimization process of LFA with high efficiency, i. e., the Particle Swarm Optimization (PSO)-LFA model.
no code implementations • 23 Feb 2023 • Jia Chen, Yixian Chun, Yuanyi Liu, Renyu Zhang, Yang Hu
High-Dimensional and Incomplete matrices, which usually contain a large amount of valuable latent information, can be well represented by a Latent Factor Analysis model.
1 code implementation • 27 Dec 2021 • Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen
To scale up the computation of queries to large batches, we further propose an efficient batch-mode acquisition procedure, which aims to maximize a novel information measure defined through the acquisition function.
1 code implementation • Machine Learning for Healthcare 2020 • Renyu Zhang, Christopher Weber, Robert Grossman, Aly A. Khan
The automatic generation of captions from medical images can provide for an efficient way to annotate histopathology images with natural language descriptions.
1 code implementation • 2 Sep 2016 • Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu
Using our predicted contacts as restraints, we can (ab initio) fold 208 of the 398 membrane proteins with TMscore>0. 5.